Threats

from pytm import TM, Server, Datastore, Actor

# Create a new threat model
tm = TM("Weak or Stolen Credentials Threat Model")

# Create actors
attacker = Actor("Attacker")
insider = Actor("Insider")

# Create server and datastore
server = Server("Application Server")
datastore = Datastore("User Datastore")

# Define weak or stolen credentials threat
tm.add_threat()
tm.threat.name("Weak or Stolen Credentials")
tm.threat.description("Threat of weak or stolen user credentials")

# Define attack paths
tm.attack_path(attacker, server, "Password Guessing/Brute Force Attack")
tm.attack_path(attacker, server, "Credential Theft")
tm.attack_path(insider, server, "Insider Threat")

# Define impact
tm.data_flow(server, datastore, "Unauthorized Access to User Data")
tm.data_flow(server, datastore, "Data Breach and Exposure of Sensitive Information")

# Generate the threat model diagram
tm.generate_diagram("weak_or_stolen_credentials_threat_model.png")

Threat Model Diagram for Weak or Stolen Credentials:

Concepts:
- Credentials: Usernames and passwords or other authentication tokens used for user authentication.
- Weak Credentials: Easily guessable or commonly used credentials that can be easily exploited.
- Stolen Credentials: Credentials obtained by unauthorized individuals through various means, such as phishing or data breaches.
- Authentication Mechanisms: Methods used to verify user identities and grant access.
- Unauthorized Access: Gaining access to a system or application without proper authorization.

Users:
1. Attackers:
   - Threat: Exploitation of Weak or Stolen Credentials
   - Attempts to gain unauthorized access to the system by using weak or stolen credentials.

2. System Administrator:
   - Threat: Weak Credential Management
   - Fails to enforce strong password policies or implements weak authentication mechanisms.

3. User:
   - Threat: Credential Theft or Compromise
   - Falls victim to phishing attacks or unknowingly uses weak or easily guessable credentials.

Components:
1. Authentication System:
   - Manages user authentication and access controls.
   - Data Flow: User authentication requests and verification.

2. Credential Storage:
   - Stores user credentials securely.
   - Data Flow: Storing and retrieving user credentials.

3. User Interface:
   - Provides a platform for user interaction and login.
   - Data Flow: User input of credentials and authentication responses.

Interactions:
1. Attackers:
   - Utilizes brute-force techniques or exploits stolen credentials to gain unauthorized access to the system.
   - Attempts to access restricted resources or perform malicious activities.

2. System Administrator:
   - Implements weak password policies or authentication mechanisms that can be easily exploited.
   - Fails to enforce multi-factor authentication or regular password updates.

3. User:
   - Enters credentials during the login process, which are sent to the authentication system for verification.
   - May fall victim to phishing attacks, leading to the disclosure of their credentials.

4. Authentication System:
   - Verifies user credentials against stored values and grants access based on authentication policies.
   - Stores and retrieves user credentials securely.

5. Credential Storage:
   - Safely stores user credentials using appropriate encryption and hashing techniques.
   - Protects credentials from unauthorized access or disclosure.

from pytm import TM, Server, Datastore, Actor

# Create a new threat model
tm = TM("Insecure Authentication Protocols Threat Model")

# Create actors
attacker = Actor("Attacker")
user = Actor("User")

# Create server and datastore
server = Server("Application Server")
datastore = Datastore("User Datastore")

# Define insecure authentication protocols threat
tm.add_threat()
tm.threat.name("Insecure Authentication Protocols")
tm.threat.description("Threat of using insecure authentication protocols")

# Define attack paths
tm.attack_path(attacker, server, "Eavesdropping")
tm.attack_path(attacker, server, "Man-in-the-Middle Attack")

# Define impact
tm.data_flow(server, datastore, "Unauthorized Access to User Data")
tm.data_flow(server, datastore, "Data Breach and Exposure of Sensitive Information")

# Generate the threat model diagram
tm.generate_diagram("insecure_authentication_protocols_threat_model.png")

Threat Model Diagram for Insecure Authentication Protocols:

Concepts:
- Authentication Protocols: Standards or mechanisms used for verifying user identities during the authentication process.
- Insecure Authentication Protocols: Protocols that are susceptible to security vulnerabilities or can be easily exploited.
- Man-in-the-Middle (MitM) Attacks: Attacks where an attacker intercepts and modifies communication between two parties.
- Unauthorized Access: Gaining access to a system or application without proper authorization.

Users:
1. Attackers:
   - Threat: Exploitation of Insecure Authentication Protocols
   - Attempts to intercept or manipulate authentication traffic to gain unauthorized access.

2. System Administrator:
   - Threat: Configuration of Insecure Authentication Protocols
   - Misconfigures authentication protocols or fails to implement secure alternatives.

3. User:
   - Threat: Exposure of Credentials
   - Communicates with the system using insecure authentication protocols, which can lead to the exposure of credentials.

Components:
1. Authentication System:
   - Manages user authentication and access controls.
   - Data Flow: User authentication requests and verification.

2. Authentication Protocol:
   - Specifies the rules and procedures for authenticating users.
   - Data Flow: Exchange of authentication messages between the user and the authentication system.

3. Attacker's System:
   - Represents the system used by attackers to intercept or manipulate authentication traffic.
   - Data Flow: Interception and modification of authentication messages.

Interactions:
1. Attackers:
   - Exploits vulnerabilities in insecure authentication protocols to intercept or modify authentication messages.
   - Attempts to obtain user credentials or gain unauthorized access to the system.

2. System Administrator:
   - Misconfigures authentication protocols, such as using weak encryption or outdated protocols.
   - Fails to implement secure alternatives, such as using strong cryptographic algorithms or multi-factor authentication.

3. User:
   - Initiates the authentication process by sending authentication requests to the system.
   - Communicates with the system using insecure authentication protocols, which can be intercepted by attackers.

4. Authentication System:
   - Verifies user credentials and grants access based on the authentication protocol in use.
   - May be vulnerable to attacks if insecure authentication protocols are implemented or misconfigured.

5. Authentication Protocol:
   - Facilitates the exchange of authentication messages between the user and the authentication system.
   - Can be compromised if it is insecure or susceptible to attacks like Man-in-the-Middle.

from pytm import TM, Actor, Server, Datastore

# Create a new threat model
tm = TM("Insufficient Access Controls Threat Model")

# Create actors
attacker = Actor("Attacker")
user = Actor("User")

# Create server and datastore
server = Server("Application Server")
datastore = Datastore("Sensitive Datastore")

# Define insufficient access controls threat
tm.add_threat()
tm.threat.name("Insufficient Access Controls")
tm.threat.description("Threat of insufficient access controls on sensitive data")

# Define attack paths
tm.attack_path(attacker, server, "Unauthorized Access")
tm.attack_path(user, server, "Privilege Escalation")

# Define impact
tm.data_flow(server, datastore, "Unauthorized Access to Sensitive Data")
tm.data_flow(server, datastore, "Data Leakage")

# Generate the threat model diagram
tm.generate_diagram("insufficient_access_controls_threat_model.png")

Threat Model Diagram for Insufficient Access Controls:

Concepts:
- Access Controls: Mechanisms used to enforce authorized access to resources.
- Insufficient Access Controls: Inadequate or misconfigured access controls that allow unauthorized access to resources.
- Unauthorized Access: Gaining access to a resource without proper authorization.
- Privilege Escalation: Exploiting vulnerabilities to gain higher levels of access privileges.

Users:
1. Attackers:
   - Threat: Unauthorized Access or Privilege Escalation
   - Attempts to bypass or exploit insufficient access controls to gain unauthorized access to resources or escalate privileges.

2. System Administrator:
   - Threat: Misconfiguration of Access Controls
   - Misconfigures access control settings, allowing unauthorized access or granting excessive privileges.

3. User:
   - Threat: Unauthorized Access to Restricted Resources
   - Attempts to access resources they are not authorized to access due to insufficient access controls.

Components:
1. Resource:
   - Represents a system or data that needs to be protected.
   - Data Flow: Access requests and responses.

2. Access Control Mechanisms:
   - Controls access to resources based on defined policies.
   - Data Flow: Authorization checks and access grants or denials.

Interactions:
1. Attackers:
   - Exploits vulnerabilities or misconfigurations in access control mechanisms to gain unauthorized access.
   - May attempt privilege escalation to gain higher levels of access.

2. System Administrator:
   - Misconfigures access control settings, such as assigning incorrect permissions or not properly segregating access.
   - Fails to regularly review and update access control policies and configurations.

3. User:
   - Requests access to resources through the system.
   - May attempt to access restricted resources by bypassing or circumventing access controls.

4. Resource:
   - Contains sensitive data or functionality that needs to be protected.
   - Enforces access control policies to determine whether a user should be granted access.

5. Access Control Mechanisms:
   - Enforce access control policies and determine whether a user has sufficient privileges to access a resource.
   - May be misconfigured or contain vulnerabilities that can be exploited by attackers.

from pytm import TM, Actor, Server

# Create a new threat model
tm = TM("Improper Privilege Escalation Threat Model")

# Create actors
attacker = Actor("Attacker")
user = Actor("User")

# Create server
server = Server("Application Server")

# Define improper privilege escalation threat
tm.add_threat()
tm.threat.name("Improper Privilege Escalation")
tm.threat.description("Threat of improper privilege escalation in the application")

# Define attack paths
tm.attack_path(attacker, server, "Exploiting Vulnerability")
tm.attack_path(user, server, "Abusing User Privileges")

# Generate the threat model diagram
tm.generate_diagram("improper_privilege_escalation_threat_model.png")

Threat Model Diagram for Improper Privilege Escalation:

Concepts:
- Privilege Escalation: Unauthorized elevation of access privileges to perform actions beyond the authorized scope.
- Authorization Levels: Different levels of access privileges granted to users or roles.
- Insufficient Privilege Checks: Inadequate validation of user permissions when executing privileged actions.
- Unauthorized Actions: Performing actions that are not authorized or exceeding the granted privileges.

Users:
1. Attackers:
   - Threat: Unauthorized Privilege Escalation
   - Attempts to exploit vulnerabilities to gain higher levels of access privileges and perform unauthorized actions.

2. System Administrator:
   - Threat: Misconfiguration of Privilege Levels
   - Misconfigures access controls or fails to properly assign and manage privilege levels.

3. User:
   - Threat: Unauthorized Access to Privileged Actions
   - Attempts to perform actions beyond their authorized scope by exploiting privilege escalation vulnerabilities.

Components:
1. User Roles:
   - Represent different roles or user groups with distinct privilege levels.
   - Data Flow: Assignment of roles and associated permissions.

2. Privilege Validation:
   - Validates user permissions before executing privileged actions.
   - Data Flow: User permissions check and authorization decision.

Interactions:
1. Attackers:
   - Exploits vulnerabilities or weaknesses to gain higher levels of access privileges.
   - Performs unauthorized actions by bypassing or manipulating privilege validation mechanisms.

2. System Administrator:
   - Misconfigures privilege levels, granting excessive permissions or failing to properly assign roles.
   - Fails to implement proper privilege validation mechanisms or neglects regular review and updates.

3. User:
   - Requests to perform actions within their authorized privileges.
   - May attempt to escalate privileges by exploiting vulnerabilities in the system.

4. User Roles:
   - Define the access privileges associated with different user groups or roles.
   - Assigns and manages roles based on user responsibilities and organizational policies.

5. Privilege Validation:
   - Validates user permissions before allowing execution of privileged actions.
   - May have vulnerabilities or lack proper checks, enabling unauthorized privilege escalation.

from pytm import TM, Actor, Datastore

# Create a new threat model
tm = TM("Data Leakage or Unauthorized Access Threat Model")

# Create actors
attacker = Actor("Attacker")
user = Actor("User")

# Create datastore
datastore = Datastore("Sensitive Data")

# Define data leakage or unauthorized access threat
tm.add_threat()
tm.threat.name("Data Leakage or Unauthorized Access")
tm.threat.description("Threat of unauthorized access or leakage of sensitive data")

# Define attack paths
tm.attack_path(attacker, datastore, "Exploiting Vulnerability")
tm.attack_path(user, datastore, "Unauthorized Access")

# Generate the threat model diagram
tm.generate_diagram("data_leakage_unauthorized_access_threat_model.png")

Threat Model Diagram for Data Leakage or Unauthorized Access:

Concepts:
- Data Leakage: Unintentional or unauthorized disclosure of sensitive data to unauthorized parties.
- Unauthorized Access: Gaining access to data or systems without proper authorization.
- Data Encryption: Process of converting sensitive data into a format that is unreadable without the appropriate decryption key.
- Data Loss Prevention (DLP): Techniques and controls implemented to prevent the leakage of sensitive data.

Users:
1. Attackers:
   - Threat: Unauthorized Access or Data Leakage
   - Attempts to gain unauthorized access to sensitive data or exploit vulnerabilities to leak data.

2. System Administrator:
   - Threat: Misconfiguration of Access Controls or Encryption
   - Misconfigures access controls, leaving data vulnerable to unauthorized access.
   - Fails to implement or properly configure data encryption mechanisms.

3. User:
   - Threat: Accidental Data Leakage
   - Unintentionally exposes sensitive data through insecure practices or misconfigurations.

Components:
1. Data Storage:
   - Represents storage systems or databases containing sensitive data.
   - Data Flow: Storage and retrieval of sensitive data.

2. Access Controls:
   - Mechanisms to control and enforce authorized access to data.
   - Data Flow: Authentication and authorization checks.

3. Data Encryption:
   - Techniques and algorithms used to protect sensitive data by encrypting it.
   - Data Flow: Encryption and decryption processes.

4. Data Loss Prevention (DLP):
   - Techniques and controls to prevent unauthorized data leakage.
   - Data Flow: Data leakage prevention measures and monitoring.

Interactions:
1. Attackers:
   - Exploits vulnerabilities to gain unauthorized access to sensitive data.
   - May use various techniques to extract and exfiltrate the data without detection.

2. System Administrator:
   - Misconfigures access controls, granting unauthorized users access to sensitive data.
   - Fails to implement or properly configure data encryption, leaving data vulnerable to unauthorized access.

3. User:
   - May accidentally expose sensitive data through insecure practices, such as sharing or mishandling information.

4. Data Storage:
   - Stores sensitive data and requires robust access controls and encryption to protect it.
   - May be vulnerable to unauthorized access if misconfigured or lacking proper security measures.

5. Access Controls:
   - Enforces authorized access to data based on authentication and authorization checks.
   - Misconfigurations or vulnerabilities in access controls may result in unauthorized access.

6. Data Encryption:
   - Protects sensitive data by converting it into an unreadable format without the decryption key.
   - Proper implementation and configuration of encryption algorithms are necessary to safeguard the data.

7. Data Loss Prevention (DLP):
   - Implements techniques and controls to prevent unauthorized data leakage.
   - Monitors data flows and applies policies to detect and prevent potential data leakage incidents.

from pytm import TM, Actor, Datastore

# Create a new threat model
tm = TM("Insecure Data Storage Threat Model")

# Create actors
attacker = Actor("Attacker")
user = Actor("User")

# Create datastore
datastore = Datastore("Sensitive Data")

# Define insecure data storage threat
tm.add_threat()
tm.threat.name("Insecure Data Storage")
tm.threat.description("Threat of insecure storage of sensitive data")

# Define attack paths
tm.attack_path(attacker, datastore, "Exploiting Storage Vulnerability")
tm.attack_path(user, datastore, "Unauthorized Access to Stored Data")

# Generate the threat model diagram
tm.generate_diagram("insecure_data_storage_threat_model.png")

Threat Model Diagram for Insecure Data Storage:

Concepts:
- Insecure Data Storage: Storing sensitive data in an unprotected or vulnerable manner.
- Data Encryption: Process of converting sensitive data into a format that is unreadable without the appropriate decryption key.
- Data Leakage: Unintentional or unauthorized disclosure of sensitive data.
- Data Access Controls: Mechanisms used to control and enforce authorized access to data.

Users:
1. Attackers:
   - Threat: Unauthorized Data Access or Data Leakage
   - Attempts to gain unauthorized access to sensitive data or exploit vulnerabilities to leak data.

2. System Administrator:
   - Threat: Misconfiguration of Data Storage Security
   - Misconfigures data storage settings, leaving sensitive data vulnerable to unauthorized access.
   - Fails to implement or properly configure data encryption mechanisms.

3. User:
   - Threat: Accidental Data Leakage
   - Unintentionally exposes sensitive data through insecure practices or misconfigurations.

Components:
1. Data Storage:
   - Represents storage systems or databases where sensitive data is stored.
   - Data Flow: Storage and retrieval of sensitive data.

2. Data Encryption:
   - Techniques and algorithms used to protect sensitive data by encrypting it.
   - Data Flow: Encryption and decryption processes.

3. Data Access Controls:
   - Mechanisms used to control and enforce authorized access to data.
   - Data Flow: Authentication and authorization checks.

Interactions:
1. Attackers:
   - Exploits vulnerabilities to gain unauthorized access to sensitive data.
   - May use various techniques to extract and exfiltrate the data without detection.

2. System Administrator:
   - Misconfigures data storage security settings, granting unauthorized users access to sensitive data.
   - Fails to implement or properly configure data encryption mechanisms, leaving data vulnerable to unauthorized access.

3. User:
   - May accidentally expose sensitive data through insecure practices, such as sharing or mishandling information.

4. Data Storage:
   - Stores sensitive data and requires robust security measures to protect it.
   - May be vulnerable to unauthorized access if misconfigured or lacking proper security controls.

5. Data Encryption:
   - Protects sensitive data by converting it into an unreadable format without the decryption key.
   - Proper implementation and configuration of encryption algorithms are necessary to safeguard the data.

6. Data Access Controls:
   - Enforces authorized access to data based on authentication and authorization checks.
   - Misconfigurations or vulnerabilities in access controls may result in unauthorized access.

from pytm import TM, Actor, Dataflow, Boundary

# Create a new threat model
tm = TM("Inadequate Network Segmentation Threat Model")

# Create actors
attacker = Actor("Attacker")
internalUser = Actor("Internal User")
externalUser = Actor("External User")

# Create boundaries
internalNetwork = Boundary("Internal Network")
externalNetwork = Boundary("External Network")

# Define dataflows
dataflow1 = Dataflow(internalUser, internalNetwork, "Sensitive Data Flow")
dataflow2 = Dataflow(externalUser, internalNetwork, "Unauthorized Access")
dataflow3 = Dataflow(internalNetwork, externalNetwork, "Exfiltration of Sensitive Data")
dataflow4 = Dataflow(internalNetwork, externalNetwork, "Command and Control")

# Define inadequate network segmentation threat
tm.add_threat()
tm.threat.name("Inadequate Network Segmentation")
tm.threat.description("Threat of inadequate segmentation between internal and external networks")

# Define attack paths
tm.attack_path(attacker, dataflow2, "Exploiting Insufficient Segmentation")
tm.attack_path(attacker, dataflow3, "Exfiltration of Sensitive Data")
tm.attack_path(attacker, dataflow4, "Command and Control")

# Generate the threat model diagram
tm.generate_diagram("inadequate_network_segmentation_threat_model.png")

Threat Model Diagram for Inadequate Network Segmentation:

Concepts:
- Network Segmentation: Dividing a network into smaller, isolated segments to enhance security and control access.
- Inadequate Network Segmentation: Insufficient or improper separation of network segments, allowing unauthorized access or lateral movement.
- Network Firewall: A security device that monitors and filters network traffic based on predetermined security rules.
- Data Flow: The movement of data between different network segments.

Users:
1. Attackers:
   - Threat: Unauthorized Access or Lateral Movement
   - Attempts to gain unauthorized access to sensitive data or systems within different network segments.
   - Exploits weaknesses in network segmentation to move laterally and escalate privileges.

2. System Administrator:
   - Threat: Misconfiguration of Network Segmentation
   - Misconfigures network segmentation rules, allowing unauthorized access between network segments.
   - Fails to implement proper firewall rules to restrict network traffic.

Components:
1. Network Segments:
   - Represents isolated network segments within the infrastructure.
   - Data Flow: Controlled exchange of data between segments.

2. Network Firewall:
   - Security device placed at the boundaries between network segments.
   - Controls inbound and outbound network traffic based on predetermined rules.
   - Data Flow: Filtering and routing of network traffic.

Interactions:
1. Attackers:
   - Exploit weaknesses in network segmentation to gain unauthorized access to sensitive data or systems.
   - May attempt lateral movement within the network, exploiting inadequate segmentation.

2. System Administrator:
   - Misconfigures network segmentation rules, allowing unauthorized access between network segments.
   - Fails to properly configure firewall rules, resulting in ineffective traffic filtering and segmentation.

3. Network Segments:
   - Represent isolated segments within the network infrastructure.
   - Require proper configuration and segmentation rules to ensure authorized access and prevent unauthorized movement.

4. Network Firewall:
   - Controls the flow of network traffic between segments based on predefined security rules.
   - Misconfiguration or inadequate rule set may lead to unauthorized access or lateral movement.

from pytm import TM, Actor, Dataflow, Boundary

# Create a new threat model
tm = TM("Man-in-the-Middle Attacks Threat Model")

# Create actors
attacker = Actor("Attacker")
client = Actor("Client")
server = Actor("Server")

# Create boundaries
clientBoundary = Boundary("Client Boundary")
serverBoundary = Boundary("Server Boundary")

# Define dataflows
dataflow1 = Dataflow(client, server, "Sensitive Data Flow")

# Define Man-in-the-Middle attack threat
tm.add_threat()
tm.threat.name("Man-in-the-Middle (MitM) Attacks")
tm.threat.description("Threat of an attacker intercepting and tampering with communication between client and server")

# Define attack paths
tm.attack_path(attacker, dataflow1, "Intercepting and Tampering with Communication")

# Generate the threat model diagram
tm.generate_diagram("man_in_the_middle_attacks_threat_model.png")

Threat Model Diagram for Man-in-the-Middle (MitM) Attacks:

Concepts:
- Man-in-the-Middle (MitM) Attack: A type of attack where an attacker intercepts communication between two parties to eavesdrop, modify, or inject malicious content.
- Network Traffic Encryption: The process of encrypting network traffic to protect it from unauthorized interception or tampering.
- Secure Communication Protocols: Protocols that provide secure and authenticated communication channels.
- Data Flow: The exchange of data between communicating parties.

Users:
1. Attackers:
   - Threat: Intercept and Manipulate Communication
   - Attempts to intercept network traffic between two parties and manipulate the data being transmitted.
   - Uses various techniques, such as ARP spoofing or DNS spoofing, to position themselves as a "man in the middle."

2. System Administrator:
   - Threat: Misconfiguration of Security Controls
   - Fails to properly configure network security controls, allowing attackers to exploit vulnerabilities and perform MitM attacks.
   - Does not enforce the use of secure communication protocols or encryption mechanisms.

3. Users:
   - Threat: Unencrypted Communication
   - Engage in communication without proper encryption or secure communication protocols.
   - May unknowingly connect to compromised networks or fall victim to MitM attacks.

Components:
1. Communication Channel:
   - Represents the medium through which parties communicate, such as network connections or wireless networks.
   - Data Flow: Transmission of data between communicating parties.

2. Secure Communication Protocols:
   - Protocols that provide secure and authenticated communication channels, such as HTTPS, SSL/TLS, or VPN.
   - Data Flow: Encrypted transmission of data between parties.

Interactions:
1. Attackers:
   - Position themselves as a "man in the middle" by intercepting and manipulating network traffic.
   - Exploit vulnerabilities in the communication channel or lack of encryption to eavesdrop, modify, or inject malicious content.

2. System Administrator:
   - Misconfigures network security controls, leaving communication channels vulnerable to MitM attacks.
   - Fails to enforce the use of secure communication protocols or encryption mechanisms.

3. Users:
   - Engage in communication without using secure communication protocols or encryption.
   - May unknowingly connect to compromised networks or fall victim to MitM attacks.

4. Communication Channel:
   - Represents the medium through which parties communicate.
   - Vulnerable to interception and manipulation by attackers positioned as a "man in the middle."

5. Secure Communication Protocols:
   - Provide secure and authenticated communication channels.
   - Encryption and proper configuration of these protocols protect against MitM attacks.

from pytm import TM, Actor, Dataflow

# Create a new threat model
tm = TM("Resource Exhaustion Threat Model")

# Create actors
attacker = Actor("Attacker")
service = Actor("Service")

# Define dataflows
dataflow = Dataflow(attacker, service, "Data Flow")

# Define Resource Exhaustion threat
tm.add_threat()
tm.threat.name("Resource Exhaustion")
tm.threat.description("Threat of an attacker consuming excessive resources and impacting service availability")

# Define attack paths
tm.attack_path(attacker, dataflow, "Excessive Resource Consumption")

# Generate the threat model diagram
tm.generate_diagram("resource_exhaustion_threat_model.png")

Threat Model Diagram for Resource Exhaustion:

Concepts:
- Resource Exhaustion: A type of attack where an attacker consumes excessive resources, such as CPU, memory, disk space, or network bandwidth, leading to service disruption or denial of service.
- System Resources: Refers to the various computing resources available within a system, including CPU, memory, disk space, and network bandwidth.
- Resource Management: The process of efficiently allocating and managing system resources.
- Data Flow: The movement of data or requests that require system resources.

Users:
1. Attackers:
   - Threat: Resource Consumption
   - Attempt to consume excessive system resources to cause service disruption or denial of service.
   - Exploit vulnerabilities or design weaknesses to exhaust system resources.

2. System Administrators:
   - Threat: Inadequate Resource Management
   - Fail to implement proper resource management techniques, allowing attackers to consume resources beyond their normal limits.
   - Lack monitoring and control mechanisms to detect and mitigate resource exhaustion attacks.

Components:
1. System Resources:
   - Represents the various computing resources within a system, including CPU, memory, disk space, and network bandwidth.
   - Data Flow: Requests or operations that require system resources.

2. Resource Management:
   - Techniques and mechanisms employed to efficiently allocate and manage system resources.
   - Data Flow: Allocation and utilization of system resources.

Interactions:
1. Attackers:
   - Conduct resource exhaustion attacks by overwhelming system resources.
   - Exploit vulnerabilities or design weaknesses to maximize resource consumption.

2. System Administrators:
   - Implement resource management techniques to prevent resource exhaustion attacks.
   - Monitor resource usage and detect abnormal resource consumption patterns.

3. System Resources:
   - Available computing resources required for normal system operation.
   - Can be overwhelmed and exhausted by attackers consuming excessive resources.

4. Resource Management:
   - Controls and manages the allocation of system resources.
   - Ensures efficient utilization and prevents resource exhaustion.

from pytm import TM, Actor, Dataflow

# Create a new threat model
tm = TM("DDoS Attacks Threat Model")

# Create actors
attacker = Actor("Attacker")
target = Actor("Target")

# Define dataflows
dataflow = Dataflow(attacker, target, "Data Flow")

# Define DDoS Attacks threat
tm.add_threat()
tm.threat.name("DDoS Attacks")
tm.threat.description("Threat of an attacker overwhelming the target system with a high volume of requests, causing denial of service")

# Define attack paths
tm.attack_path(attacker, dataflow, "DDoS Attack")

# Generate the threat model diagram
tm.generate_diagram("ddos_attacks_threat_model.png")

Threat Model Diagram for Distributed Denial of Service (DDoS) Attacks:

Concepts:
- Distributed Denial of Service (DDoS) Attack: A type of attack where multiple compromised systems, known as "botnets," flood a target system with a high volume of traffic or requests, overwhelming its resources and causing service disruption or denial of service.
- Botnet: A network of compromised computers or devices under the control of an attacker, used to launch DDoS attacks.
- Traffic Amplification: Techniques used by attackers to magnify the volume of traffic generated by each compromised system in the botnet.
- Resource Consumption: The depletion of system resources, such as network bandwidth, CPU, memory, or storage, due to the high volume of incoming traffic or requests.

Users:
1. Attackers:
   - Threat: DDoS Attack
   - Control a botnet comprising multiple compromised systems.
   - Coordinate the attack to flood the target system with a high volume of traffic or requests, causing service disruption or denial of service.
   - Use traffic amplification techniques to maximize the impact of the attack.

2. Target System:
   - Threat: Service Disruption or Denial of Service
   - Represents the system or service under attack.
   - Receives a massive influx of traffic or requests from the botnet, causing resource exhaustion and rendering the system inaccessible.

Components:
1. Botnet:
   - Collection of compromised systems under the control of the attacker.
   - Data Flow: Communication and coordination between the attacker and compromised systems for launching the DDoS attack.

2. Traffic Amplification Techniques:
   - Methods used by attackers to increase the volume of traffic generated by each compromised system.
   - Data Flow: Manipulation of traffic to amplify its volume before being directed to the target system.

3. Target System:
   - Represents the system or service being targeted by the DDoS attack.
   - Data Flow: Incoming traffic or requests that overwhelm the system's resources.

Interactions:
1. Attackers:
   - Control the botnet and orchestrate the DDoS attack.
   - Utilize traffic amplification techniques to maximize the impact of the attack.

2. Botnet:
   - Comprises compromised systems under the control of the attackers.
   - Executes instructions from the attackers to generate and direct a high volume of traffic or requests to the target system.

3. Traffic Amplification Techniques:
   - Used by attackers to increase the volume of traffic generated by each compromised system.
   - Amplify the traffic before it reaches the target system, magnifying the impact of the DDoS attack.

4. Target System:
   - Represents the system or service under attack.
   - Overwhelmed by the high volume of incoming traffic or requests, leading to resource exhaustion and service disruption or denial of service.

from pytm import TM, Actor, Dataflow

# Create a new threat model
tm = TM("Misconfigured Security Settings Threat Model")

# Create actors
administrator = Actor("Administrator")
attacker = Actor("Attacker")

# Define dataflows
dataflow = Dataflow(administrator, attacker, "Data Flow")

# Define Misconfigured Security Settings threat
tm.add_threat()
tm.threat.name("Misconfigured Security Settings")
tm.threat.description("Threat arising from misconfigured security settings, leading to vulnerabilities and potential unauthorized access")

# Define attack paths
tm.attack_path(administrator, dataflow, "Misconfiguration Attack")

# Generate the threat model diagram
tm.generate_diagram("misconfigured_security_settings_threat_model.png")

Threat Model Diagram for Misconfigured Security Settings:

Concepts:
- Misconfigured Security Settings: Configuration settings that do not adhere to recommended security practices, leaving systems or components vulnerable to attacks or unauthorized access.
- Security Configuration: The settings and configurations applied to systems, applications, or network components to enforce security controls and protect against threats.
- Attack Surface: The collection of entry points or vulnerabilities that can be exploited by attackers to gain unauthorized access or compromise a system.
- Attack Path: The path or sequence of steps an attacker can take to exploit misconfigured security settings and compromise the system.

Users:
1. System Administrators:
   - Threat: Inadequate Configuration
   - Responsible for configuring and managing security settings of systems, applications, or network components.
   - May inadvertently misconfigure security settings, leaving vulnerabilities or weak points open to exploitation.

2. Attackers:
   - Threat: Unauthorized Access or Exploitation
   - Attempt to exploit misconfigured security settings to gain unauthorized access, escalate privileges, or compromise the system.
   - Exploit weaknesses in security configurations to bypass controls and launch attacks.

Components:
1. System or Application:
   - Represents the system or application with security settings that need to be configured correctly.
   - Contains various security-related configurations that affect the overall security posture.

2. Security Configuration Settings:
   - Specific settings or configurations applied to systems, applications, or network components to enforce security controls.
   - Include settings related to authentication, access controls, encryption, logging, auditing, and other security measures.

Interactions:
1. System Administrators:
   - Responsible for configuring and managing security settings.
   - May misconfigure security settings, leaving vulnerabilities or weak points open to exploitation by attackers.

2. Attackers:
   - Attempt to exploit misconfigured security settings to gain unauthorized access or compromise the system.
   - Exploit weaknesses in security configurations to bypass controls and launch attacks.

3. System or Application:
   - Contains security configurations that need to be correctly applied and managed.
   - Vulnerable to attacks and unauthorized access if security settings are misconfigured.

4. Attack Surface:
   - Represents the collection of entry points or vulnerabilities that attackers can exploit.
   - Misconfigured security settings may increase the attack surface and provide opportunities for exploitation.

5. Attack Path:
   - Represents the sequence of steps an attacker can take to exploit misconfigured security settings.
   - Follows the path of least resistance to compromise the system or gain unauthorized access.

from pytm import TM, Actor, Dataflow

# Create a new threat model
tm = TM("Insecure Default Configurations Threat Model")

# Create actors
administrator = Actor("Administrator")
attacker = Actor("Attacker")

# Define dataflows
dataflow = Dataflow(administrator, attacker, "Data Flow")

# Define Insecure Default Configurations threat
tm.add_threat()
tm.threat.name("Insecure Default Configurations")
tm.threat.description("Threat arising from insecure default configurations, leading to vulnerabilities and potential unauthorized access")

# Define attack paths
tm.attack_path(administrator, dataflow, "Insecure Default Configurations Attack")

# Generate the threat model diagram
tm.generate_diagram("insecure_default_configurations_threat_model.png")

Threat Model Diagram for Insecure Default Configurations:

Concepts:
- Insecure Default Configurations: System or application configurations that are insecure or weak by default, often set during installation or initialization.
- Attack Surface: The collection of entry points or vulnerabilities that can be exploited by attackers to gain unauthorized access or compromise a system.
- Attack Path: The path or sequence of steps an attacker can take to exploit insecure default configurations and compromise the system.

Users:
1. System Administrators:
   - Threat: Inadequate Configuration
   - Responsible for setting up and configuring systems or applications.
   - May unintentionally leave insecure default configurations in place, providing potential vulnerabilities to attackers.

2. Attackers:
   - Threat: Unauthorized Access or Exploitation
   - Attempt to exploit insecure default configurations to gain unauthorized access, escalate privileges, or compromise the system.
   - Exploit weaknesses in default configurations to bypass security controls and launch attacks.

Components:
1. System or Application:
   - Represents the system or application with default configurations that need to be changed.
   - Contains various settings and configurations that impact security.

2. Default Configuration Settings:
   - The initial settings or configurations that are in place when a system or application is installed or initialized.
   - These configurations may not provide adequate security and need to be modified to reduce vulnerabilities.

Interactions:
1. System Administrators:
   - Responsible for setting up and configuring systems or applications.
   - May overlook or neglect changing insecure default configurations, leaving potential vulnerabilities for attackers.

2. Attackers:
   - Attempt to exploit insecure default configurations to gain unauthorized access or compromise the system.
   - Exploit weaknesses in default configurations to bypass security controls and launch attacks.

3. System or Application:
   - Contains default configurations that need to be changed to reduce vulnerabilities.
   - Vulnerable to attacks and unauthorized access if insecure default configurations are not addressed.

4. Attack Surface:
   - Represents the collection of entry points or vulnerabilities that attackers can exploit.
   - Insecure default configurations may increase the attack surface and provide opportunities for exploitation.

5. Attack Path:
   - Represents the sequence of steps an attacker can take to exploit insecure default configurations.
   - Follows the path of least resistance to compromise the system or gain unauthorized access.

from pytm import TM, Actor, Dataflow

# Create a new threat model
tm = TM("Delayed Patching of Software Threat Model")

# Create actors
administrator = Actor("Administrator")
attacker = Actor("Attacker")

# Define dataflows
dataflow = Dataflow(administrator, attacker, "Data Flow")

# Define Delayed Patching of Software threat
tm.add_threat()
tm.threat.name("Delayed Patching of Software")
tm.threat.description("Threat arising from delayed or inadequate software patching, leaving systems vulnerable to known exploits")

# Define attack paths
tm.attack_path(administrator, dataflow, "Delayed Patching of Software Attack")

# Generate the threat model diagram
tm.generate_diagram("delayed_patching_threat_model.png")

Threat Model Diagram for Delayed Patching of Software:

Concepts:
- Delayed Patching of Software: The practice of not applying patches and updates promptly to software or systems, leaving them vulnerable to known security vulnerabilities.
- Attack Surface: The collection of entry points or vulnerabilities that can be exploited by attackers to gain unauthorized access or compromise a system.
- Attack Path: The path or sequence of steps an attacker can take to exploit the delayed patching of software and compromise the system.

Users:
1. System Administrators:
   - Threat: Inadequate Patch Management
   - Responsible for managing and applying patches and updates to software or systems.
   - May delay or neglect applying patches promptly, leaving vulnerabilities open for exploitation.

2. Attackers:
   - Threat: Exploitation of Known Vulnerabilities
   - Attempt to exploit known vulnerabilities in software or systems that have not been patched promptly.
   - Exploit weaknesses in unpatched software to gain unauthorized access, escalate privileges, or compromise the system.

Components:
1. Software or System:
   - Represents the software or system that requires regular patching and updates.
   - Contains known vulnerabilities that can be addressed through patching.

2. Patch Management Process:
   - The process of managing and applying patches and updates to software or systems.
   - Includes tasks such as patch assessment, testing, deployment, and monitoring.

Interactions:
1. System Administrators:
   - Responsible for managing and applying patches and updates to software or systems.
   - May delay or neglect applying patches promptly due to operational constraints or other reasons.

2. Attackers:
   - Attempt to exploit known vulnerabilities in unpatched software or systems.
   - Exploit weaknesses in software that has not been updated to gain unauthorized access or compromise the system.

3. Software or System:
   - Requires regular patching and updates to address known vulnerabilities.
   - Vulnerable to attacks and unauthorized access if patches are not applied promptly.

4. Attack Surface:
   - Represents the collection of entry points or vulnerabilities that attackers can exploit.
   - Delayed patching of software may increase the attack surface and provide opportunities for exploitation.

5. Attack Path:
   - Represents the sequence of steps an attacker can take to exploit delayed patching of software.
   - Follows the path of least resistance to compromise the system or gain unauthorized access.

Note: This simplified textual representation provides a high-level view of the components, data flows, and interactions related to the "Delayed Patching of Software" threat. In a comprehensive threat model, additional specific components and interactions relevant to the system being analyzed would be included.

from pytm import TM, Actor, Dataflow

# Create a new threat model
tm = TM("Lack of Vulnerability Scanning Threat Model")

# Create actors
administrator = Actor("Administrator")
attacker = Actor("Attacker")

# Define dataflows
dataflow = Dataflow(administrator, attacker, "Data Flow")

# Define Lack of Vulnerability Scanning threat
tm.add_threat()
tm.threat.name("Lack of Vulnerability Scanning")
tm.threat.description("Threat arising from the lack of regular vulnerability scanning, which can result in undetected vulnerabilities and potential exploitation")

# Define attack paths
tm.attack_path(administrator, dataflow, "Lack of Vulnerability Scanning Attack")

# Generate the threat model diagram
tm.generate_diagram("lack_of_vulnerability_scanning_threat_model.png")

Threat Model Diagram for Lack of Vulnerability Scanning:

Concepts:
- Lack of Vulnerability Scanning: Failure to regularly scan systems or applications for known vulnerabilities and weaknesses.
- Vulnerability Assessment: The process of identifying and assessing vulnerabilities within systems or applications.
- Attack Surface: The collection of entry points or vulnerabilities that can be exploited by attackers to gain unauthorized access or compromise a system.
- Attack Path: The path or sequence of steps an attacker can take to exploit existing vulnerabilities and compromise the system.

Users:
1. System Administrators:
   - Responsible for managing and maintaining systems or applications.
   - May neglect or overlook the importance of regular vulnerability scanning.

2. Attackers:
   - Threat: Exploitation of Unpatched Vulnerabilities
   - Attempt to identify and exploit unpatched vulnerabilities in systems or applications.
   - Exploit weaknesses that have not been detected due to the lack of vulnerability scanning.

Components:
1. System or Application:
   - Represents the system or application that requires regular vulnerability scanning.
   - Contains potential vulnerabilities that need to be identified and mitigated.

2. Vulnerability Scanning Tool:
   - A tool or software used to scan systems or applications for known vulnerabilities.
   - Detects and reports on potential weaknesses that could be exploited by attackers.

Interactions:
1. System Administrators:
   - Responsible for managing and maintaining systems or applications.
   - May fail to prioritize or schedule regular vulnerability scanning, leaving systems exposed to unpatched vulnerabilities.

2. Attackers:
   - Attempt to identify and exploit unpatched vulnerabilities in systems or applications.
   - Exploit weaknesses that have not been detected due to the lack of vulnerability scanning.

3. System or Application:
   - Requires regular vulnerability scanning to identify and mitigate potential vulnerabilities.
   - Vulnerable to attacks and unauthorized access if unpatched vulnerabilities are not detected and addressed.

4. Attack Surface:
   - Represents the collection of entry points or vulnerabilities that attackers can exploit.
   - Lack of vulnerability scanning may increase the attack surface and provide opportunities for exploitation.

5. Attack Path:
   - Represents the sequence of steps an attacker can take to exploit unpatched vulnerabilities.
   - Follows the path of least resistance to compromise the system or gain unauthorized access.

from pytm import TM, Actor, Dataflow

# Create a new threat model
tm = TM("Malicious or Negligent Insiders Threat Model")

# Create actors
insider = Actor("Insider")
attacker = Actor("Attacker")

# Define dataflows
dataflow = Dataflow(insider, attacker, "Data Flow")

# Define Malicious or Negligent Insiders threat
tm.add_threat()
tm.threat.name("Malicious or Negligent Insiders")
tm.threat.description("Threat arising from insiders with malicious intent or negligent behavior who may abuse their privileges, steal sensitive data, or cause damage to the system")

# Define attack paths
tm.attack_path(insider, dataflow, "Malicious or Negligent Insiders Attack")

# Generate the threat model diagram
tm.generate_diagram("malicious_or_negligent_insiders_threat_model.png")

Threat Model Diagram for Malicious or Negligent Insiders:

Concepts:
- Insiders: Individuals who have authorized access to a system or application.
- Malicious Insider: An insider who intentionally abuses their privileges or acts with malicious intent.
- Negligent Insider: An insider who unintentionally causes harm or breaches security due to carelessness.
- Access Controls: Mechanisms used to enforce authorized access to resources.
- Data Loss or Leakage: Unauthorized disclosure or loss of sensitive data.

Users:
1. Malicious Insider:
   - Threat: Unauthorized Access or Data Theft
   - Exploits their authorized access to gain unauthorized access, steal data, or cause damage to the system.

2. Negligent Insider:
   - Threat: Accidental Data Breach
   - Unintentionally exposes sensitive data or breaches security due to carelessness or lack of awareness.

Components:
1. Authentication System:
   - Manages user authentication and access controls.
   - Data Flow: User authentication requests.

2. Data Storage:
   - Stores sensitive data.
   - Data Flow: Reading or modifying sensitive data.

3. Logging System:
   - Captures logs and auditing information.
   - Data Flow: Storing logs of user activities.

Interactions:
1. Malicious Insider:
   - Exploits weak authentication controls or stolen credentials to gain unauthorized access to the system.
   - Performs unauthorized data access or theft by bypassing access controls or abusing privileges.

2. Negligent Insider:
   - Accidentally exposes sensitive data by misconfiguring access controls or mishandling data.
   - May unknowingly download or transmit sensitive data to external sources.

3. Authentication System:
   - Authenticates user credentials and enforces access controls.
   - Logs authentication activities and detects suspicious login patterns.

4. Data Storage:
   - Stores sensitive data and enforces access controls.
   - Logs data access and modification activities.

5. Logging System:
   - Captures logs of user activities, including authentication attempts and data access events.
   - Supports monitoring and analysis to identify suspicious or unauthorized activities.

from pytm import TM, Actor, Datastore, Boundary, Dataflow

# Create a new threat model
tm = TM("Unauthorized Data Access or Theft Threat Model")

# Create actors
attacker = Actor("Attacker")
user = Actor("User")

# Create a boundary
boundary = Boundary("Internal Network")

# Create a datastore
datastore = Datastore("Sensitive Data")

# Define dataflows
dataflow = Dataflow(user, datastore, "Data Access")

# Define Unauthorized Data Access or Theft threat
tm.add_threat()
tm.threat.name("Unauthorized Data Access or Theft")
tm.threat.description("Threat of unauthorized access or theft of sensitive data by attackers")

# Define attack paths
tm.attack_path(attacker, dataflow, "Unauthorized Data Access or Theft Attack")

# Generate the threat model diagram
tm.generate_diagram("unauthorized_data_access_theft_threat_model.png")

Threat Model Diagram for Unauthorized Data Access or Theft:

Concepts:
- Unauthorized Data Access or Theft: The unauthorized access, theft, or disclosure of sensitive or confidential data.
- Data Classification: The process of categorizing data based on its sensitivity or criticality.
- Access Controls: Mechanisms and policies in place to regulate access to data and protect it from unauthorized access.
- Attack Surface: The collection of entry points or vulnerabilities that can be exploited by attackers to gain unauthorized access or compromise a system.
- Attack Path: The path or sequence of steps an attacker can take to exploit vulnerabilities and gain unauthorized access to data.

Users:
1. System Administrators:
   - Responsible for managing access controls and permissions to sensitive data.
   - May misconfigure or overlook security settings, leading to unauthorized access or theft.

2. Attackers:
   - Threat: Unauthorized Data Access or Theft
   - Attempt to gain unauthorized access to sensitive data or steal it for malicious purposes.
   - Exploit vulnerabilities in access controls or other weaknesses to bypass security measures.

Components:
1. Sensitive Data:
   - Represents the data that needs to be protected from unauthorized access or theft.
   - Includes personally identifiable information (PII), financial data, intellectual property, or other confidential data.

2. Access Control Mechanisms:
   - The mechanisms and policies in place to control access to sensitive data.
   - Examples include user authentication, role-based access control (RBAC), and encryption.

Interactions:
1. System Administrators:
   - Responsible for managing access controls and permissions to sensitive data.
   - May misconfigure or overlook security settings, leading to unauthorized access or theft.

2. Attackers:
   - Attempt to gain unauthorized access to sensitive data or steal it for malicious purposes.
   - Exploit vulnerabilities in access controls or other weaknesses to bypass security measures.

3. Sensitive Data:
   - Requires appropriate access controls to prevent unauthorized access or theft.
   - Vulnerable to unauthorized access or theft if access controls are not properly implemented or misconfigured.

4. Attack Surface:
   - Represents the collection of entry points or vulnerabilities that attackers can exploit.
   - Weak or misconfigured access controls may increase the attack surface and provide opportunities for unauthorized access.

5. Attack Path:
   - Represents the sequence of steps an attacker can take to exploit vulnerabilities and gain unauthorized access to sensitive data.
   - Follows the path of least resistance to compromise the system and steal data.

from pytm import TM, Actor, Datastore, Boundary, Dataflow

# Create a new threat model
tm = TM("Unauthorized Physical Access Threat Model")

# Create actors
attacker = Actor("Attacker")
physical_attacker = Actor("Physical Attacker")
user = Actor("User")

# Create a boundary
boundary = Boundary("Physical Location")

# Create a datastore
datastore = Datastore("Sensitive Equipment")

# Define dataflows
dataflow = Dataflow(user, datastore, "Data Access")

# Define Unauthorized Physical Access threat
tm.add_threat()
tm.threat.name("Unauthorized Physical Access")
tm.threat.description("Threat of unauthorized physical access to sensitive equipment by attackers")

# Define attack paths
tm.attack_path(physical_attacker, dataflow, "Unauthorized Physical Access Attack")

# Generate the threat model diagram
tm.generate_diagram("unauthorized_physical_access_threat_model.png")

Threat Model Diagram for Unauthorized Physical Access:

Concepts:
- Unauthorized Physical Access: The unauthorized entry or presence of individuals in physical areas where they should not be.
- Physical Security: Measures and controls implemented to protect physical assets, such as buildings, rooms, and equipment.
- Access Control: Mechanisms and policies in place to regulate entry and restrict access to physical areas.
- Attack Surface: Vulnerabilities and entry points that can be exploited by unauthorized individuals to gain physical access.
- Attack Path: The sequence of steps an attacker can take to bypass physical security measures and gain unauthorized access.

Users:
1. Facility Administrators:
   - Responsible for managing physical security measures and access control systems.
   - May misconfigure or overlook security settings, leading to unauthorized physical access.

2. Unauthorized Individuals:
   - Threat: Unauthorized Physical Access
   - Attempt to gain physical access to restricted areas without proper authorization.
   - Exploit vulnerabilities in physical security measures or find ways to bypass them.

Components:
1. Physical Areas:
   - Represents the different areas within a facility or premises, such as server rooms, data centers, or restricted zones.
   - Each area has a designated level of access restriction and contains valuable assets or sensitive information.

2. Access Control Mechanisms:
   - The mechanisms and controls in place to regulate entry and restrict access to physical areas.
   - Examples include access cards, biometric systems, locks, alarms, and surveillance cameras.

Interactions:
1. Facility Administrators:
   - Responsible for managing physical security measures and access control systems.
   - May misconfigure or overlook security settings, leading to unauthorized physical access.

2. Unauthorized Individuals:
   - Attempt to gain physical access to restricted areas without proper authorization.
   - Exploit vulnerabilities in physical security measures or find ways to bypass them.

3. Physical Areas:
   - Require proper access control mechanisms to prevent unauthorized physical access.
   - Vulnerable to unauthorized access if physical security measures are not properly implemented or misconfigured.

4. Attack Surface:
   - Represents the vulnerabilities and entry points that unauthorized individuals can exploit.
   - Weak or misconfigured physical security measures may increase the attack surface and provide opportunities for unauthorized physical access.

5. Attack Path:
   - Represents the sequence of steps an attacker can take to bypass physical security measures and gain unauthorized access.
   - Follows the path of least resistance to compromise the physical security of the facility or premises.

from pytm import TM, Actor, Datastore, Boundary, Dataflow

# Create a new threat model
tm = TM("Theft or Destruction of Hardware Threat Model")

# Create actors
attacker = Actor("Attacker")
physical_attacker = Actor("Physical Attacker")
user = Actor("User")

# Create a boundary
boundary = Boundary("Physical Location")

# Create a datastore
datastore = Datastore("Hardware")

# Define dataflows
dataflow = Dataflow(user, datastore, "Data Access")

# Define Theft or Destruction of Hardware threat
tm.add_threat()
tm.threat.name("Theft or Destruction of Hardware")
tm.threat.description("Threat of theft or destruction of hardware by attackers")

# Define attack paths
tm.attack_path(physical_attacker, dataflow, "Theft or Destruction of Hardware Attack")

# Generate the threat model diagram
tm.generate_diagram("theft_destruction_hardware_threat_model.png")

Threat Model Diagram for Theft or Destruction of Hardware:

Concepts:
- Theft or Destruction of Hardware: The unauthorized removal or damage of physical hardware devices.
- Physical Security: Measures and controls implemented to protect physical assets, such as hardware devices.
- Asset Inventory: A record of all hardware devices, their locations, and ownership.
- Attack Surface: Vulnerabilities and entry points that can be exploited by unauthorized individuals to steal or damage hardware.
- Attack Path: The sequence of steps an attacker can take to bypass physical security measures and steal or destroy hardware.

Users:
1. Facility Administrators:
   - Responsible for managing physical security measures and maintaining the asset inventory.
   - May misconfigure or overlook security settings, leading to vulnerabilities in hardware protection.

2. Unauthorized Individuals:
   - Threat: Theft or Destruction of Hardware
   - Attempt to steal or damage hardware devices for personal gain, sabotage, or other malicious purposes.
   - Exploit vulnerabilities in physical security measures or find ways to bypass them.

Components:
1. Hardware Devices:
   - Represents the physical devices, such as servers, workstations, laptops, or other valuable equipment.
   - Each device has its unique identification, location, and ownership information recorded in the asset inventory.

2. Physical Security Measures:
   - The measures and controls in place to protect hardware devices from theft or destruction.
   - Examples include locks, alarms, surveillance cameras, access control mechanisms, and secure storage areas.

3. Asset Inventory:
   - A record or database that tracks all hardware devices, their locations, and ownership information.
   - Helps identify missing or compromised hardware and aids in recovery or replacement processes.

Interactions:
1. Facility Administrators:
   - Responsible for managing physical security measures and maintaining the asset inventory.
   - May misconfigure or overlook security settings, leading to vulnerabilities in hardware protection.

2. Unauthorized Individuals:
   - Attempt to steal or damage hardware devices for personal gain, sabotage, or other malicious purposes.
   - Exploit vulnerabilities in physical security measures or find ways to bypass them.

3. Hardware Devices:
   - Require proper physical security measures to prevent unauthorized access, theft, or destruction.
   - Vulnerable to theft or destruction if physical security measures are not properly implemented or misconfigured.

4. Asset Inventory:
   - Maintained by facility administrators to track hardware devices and ownership information.
   - Helps in identifying missing or compromised hardware and aids in recovery or replacement processes.

5. Attack Surface:
   - Represents the vulnerabilities and entry points that unauthorized individuals can exploit.
   - Weak or misconfigured physical security measures may increase the attack surface and provide opportunities for theft or destruction of hardware.

6. Attack Path:
   - Represents the sequence of steps an attacker can take to bypass physical security measures and steal or destroy hardware.
   - Follows the path of least resistance to compromise the physical security of the hardware devices.

from pytm import TM, Actor, Datastore, Dataflow, Boundary

# Create a new threat model
tm = TM("Vulnerabilities in Third-Party Components Threat Model")

# Create actors
attacker = Actor("Attacker")
user = Actor("User")

# Create a boundary
boundary = Boundary("System Boundary")

# Create a datastore
datastore = Datastore("Sensitive Data")

# Define dataflows
dataflow = Dataflow(user, datastore, "Data Access")

# Define Vulnerabilities in Third-Party Components threat
tm.add_threat()
tm.threat.name("Vulnerabilities in Third-Party Components")
tm.threat.description("Threat of vulnerabilities in third-party components used in the system")

# Define attack paths
tm.attack_path(attacker, dataflow, "Exploitation of Third-Party Component Vulnerabilities")

# Generate the threat model diagram
tm.generate_diagram("third_party_component_vulnerabilities_threat_model.png")

Threat Model Diagram for Vulnerabilities in Third-Party Components:

Concepts:
- Vulnerabilities in Third-Party Components: Weaknesses or flaws present in software or hardware components developed by external third-party vendors.
- Third-Party Components: Software or hardware modules, libraries, frameworks, or services developed by external vendors and integrated into the system.
- Software Development Lifecycle (SDLC): The process of developing, testing, and deploying software.
- Vulnerability Management: The process of identifying, assessing, mitigating, and monitoring vulnerabilities in software components.
- Patch Management: The process of applying security patches and updates to third-party components.

Users:
1. System Developers:
   - Responsible for integrating and using third-party components in the system.
   - May unknowingly introduce vulnerabilities by not properly assessing the security of the components or by not implementing them correctly.

2. Third-Party Component Vendors:
   - Develop and maintain the third-party components used in the system.
   - May have vulnerabilities in their components due to coding errors, design flaws, or outdated dependencies.

Components:
1. Third-Party Components:
   - Represents the software or hardware modules, libraries, frameworks, or services developed by external vendors and integrated into the system.
   - Can introduce vulnerabilities if not properly assessed, implemented, or kept up to date with security patches.

2. System Components:
   - Represents the internal components of the system, including the custom-developed software and other infrastructure elements.

3. Software Development Lifecycle (SDLC):
   - The process followed by system developers to develop, test, and deploy the system.
   - Involves activities such as requirements gathering, design, coding, testing, and deployment.

Interactions:
1. System Developers:
   - Responsible for integrating and using third-party components in the system.
   - Should assess the security of the third-party components before integration and ensure they are properly implemented.

2. Third-Party Component Vendors:
   - Develop and maintain the third-party components used in the system.
   - Should follow secure coding practices, conduct regular security assessments, and provide security patches and updates for their components.

3. Third-Party Components:
   - Integrated into the system by system developers.
   - Can introduce vulnerabilities if not properly assessed or implemented.

4. Software Development Lifecycle (SDLC):
   - Provides a framework for system developers to follow during the development process.
   - Should include security measures and assessments to identify and address vulnerabilities in third-party components.

5. Vulnerability Management:
   - Involves identifying, assessing, mitigating, and monitoring vulnerabilities in software components.
   - Should be part of the overall system development and maintenance processes.

6. Patch Management:
   - Involves applying security patches and updates to third-party components to address known vulnerabilities.
   - Should be performed regularly to keep the system protected against known vulnerabilities.

from pytm import TM, Actor, Process, Datastore, Dataflow, Boundary

# Create a new threat model
tm = TM("Lack of Oversight on Third-Party Activities Threat Model")

# Create actors
attacker = Actor("Attacker")
user = Actor("User")
third_party = Actor("Third-Party")

# Create a boundary
boundary = Boundary("System Boundary")

# Create a process
process = Process("Third-Party Process")

# Create a datastore
datastore = Datastore("Sensitive Data")

# Define dataflows
dataflow1 = Dataflow(user, process, "Data Sharing")
dataflow2 = Dataflow(process, datastore, "Data Storage")

# Define Lack of Oversight on Third-Party Activities threat
tm.add_threat()
tm.threat.name("Lack of Oversight on Third-Party Activities")
tm.threat.description("Threat of lack of oversight on third-party activities in the system")

# Define attack paths
tm.attack_path(attacker, dataflow1, "Unauthorized Data Sharing")
tm.attack_path(attacker, dataflow2, "Unauthorized Data Storage")

# Generate the threat model diagram
tm.generate_diagram("lack_of_oversight_third_party_activities_threat_model.png")

Threat Model Diagram for Lack of Oversight on Third-Party Activities:

Concepts:
- Lack of Oversight: Insufficient monitoring, supervision, or control over the activities performed by third-party vendors.
- Third-Party Activities: Activities carried out by external vendors, such as software development, data processing, or system maintenance.
- Trust Boundaries: Points where the system interacts with external entities, including third-party vendors.
- Data Privacy: Protection of sensitive data from unauthorized access, use, or disclosure.
- Regulatory Compliance: Adherence to relevant laws, regulations, and industry standards.

Users:
1. System Owners:
   - Responsible for overseeing the system's operations, security, and compliance.
   - May delegate certain tasks or responsibilities to third-party vendors.

2. Third-Party Vendors:
   - External entities engaged to perform specific activities or provide services related to the system.
   - May have access to system components, data, or infrastructure.

Components:
1. System Components:
   - Represents the internal components of the system, including software, hardware, and network infrastructure.

2. Third-Party Activities:
   - Activities performed by external vendors on behalf of the system owner.
   - Examples include software development, data processing, system maintenance, or cloud hosting.

Data Flows:
1. System Owner to Third-Party Vendors:
   - Involves communication, coordination, and delegation of tasks or responsibilities to third-party vendors.
   - May include sharing system documentation, access privileges, or specific project requirements.

2. Third-Party Vendors to System Components:
   - Involves the execution of activities by third-party vendors on the system components.
   - May include development, maintenance, or hosting of system components.

3. System Components to Third-Party Vendors:
   - Involves the exchange of data, credentials, or system components between the system and third-party vendors.
   - May include data processing, data storage, or system integration.

Interactions:
1. System Owners:
   - Responsible for overseeing the system's operations, security, and compliance.
   - Should establish clear expectations, requirements, and agreements with third-party vendors regarding oversight and monitoring.

2. Third-Party Vendors:
   - Engaged to perform specific activities or provide services related to the system.
   - Should adhere to the agreed-upon oversight and monitoring requirements and provide necessary information or reports as requested.

3. Trust Boundaries:
   - Points where the system interacts with external entities, including third-party vendors.
   - Should be identified and defined to clearly delineate the responsibilities and access privileges of third-party vendors.

4. Data Privacy:
   - Focuses on protecting sensitive data from unauthorized access, use, or disclosure.
   - System owners should ensure that third-party vendors handle sensitive data in compliance with data privacy regulations and industry standards.

5. Regulatory Compliance:
   - Involves adhering to relevant laws, regulations, and industry standards.
   - System owners should ensure that third-party vendors comply with applicable regulations and standards in their activities.