Objective: Compromise Application Using GluonCV
Compromise Application Using GluonCV [CRITICAL NODE] ├───[OR]─ Exploit Vulnerabilities in GluonCV Library [CRITICAL NODE] │ ├───[OR]─ Malicious Model Injection/Loading [CRITICAL NODE] │ │ ├───[AND]─ Supply Malicious Pre-trained Model │ │ │ ├───[AND]─ Compromise Model Source/Repository │ │ │ │ └───[AND]─ Target Internal/Private Model Storage [HIGH-RISK PATH] │ │ ├───[AND]─ Exploit Model Deserialization Vulnerabilities [HIGH-RISK PATH] │ ├───[OR]─ Data Poisoning via GluonCV Input [CRITICAL NODE] │ │ ├───[AND]─ Supply Malicious Input Data (Images/Videos) │ │ │ ├───[OR]─ Exploit Image/Video Processing Vulnerabilities (in underlying libraries used by GluonCV) [HIGH-RISK PATH] │ ├───[OR]─ Exploit Vulnerabilities in GluonCV Code or Dependencies [CRITICAL NODE] [HIGH-RISK PATH] │ │ │ └───[AND]─ Exploit Vulnerabilities in MXNet (Backend Framework) [HIGH-RISK PATH] │ │ │ └───[AND]─ Exploit Vulnerabilities in other GluonCV Dependencies [HIGH-RISK PATH] ├───[OR]─ Exploit Misconfiguration or Improper Usage of GluonCV in Application [CRITICAL NODE] │ ├───[AND]─ Insufficient Input Validation in Application Code [CRITICAL NODE] [HIGH-RISK PATH] │ │ ├───[AND]─ Application Passes Untrusted Input Directly to GluonCV Functions [HIGH-RISK PATH] │ ├───[AND]─ Overly Permissive Permissions for GluonCV Components [CRITICAL NODE] [HIGH-RISK PATH] │ │ ├───[AND]─ Application Runs GluonCV with Excessive Privileges [HIGH-RISK PATH] │ │ └───[AND]─ Weak Access Control to Model Storage or Configuration [HIGH-RISK PATH] └───[OR]─ Social Engineering or Phishing Targeting Developers/Operators [CRITICAL NODE] ├───[AND]─ Compromise Developer/Operator Accounts [CRITICAL NODE] [HIGH-RISK PATH] │ ├───[AND]─ Phishing Attacks [HIGH-RISK PATH] └───[AND]─ Gain Access to Development/Deployment Environment [CRITICAL NODE] [HIGH-RISK PATH] ├───[AND]─ Inject Malicious Code or Models during Development/Deployment [HIGH-RISK PATH]
Attack Tree Path: 1. Compromise Application Using GluonCV [CRITICAL NODE]:
This is the root goal. Success means the attacker achieves unauthorized access, control, or disruption of the application.
Attack Tree Path: 2. Exploit Vulnerabilities in GluonCV Library [CRITICAL NODE]:
Attack Vectors: * Exploiting known or zero-day vulnerabilities in GluonCV code itself. * Exploiting vulnerabilities in MXNet, the underlying deep learning framework. * Exploiting vulnerabilities in other Python packages that GluonCV depends on (e.g., image processing libraries, networking libraries). * Impact: Can lead to Remote Code Execution (RCE), Denial of Service (DoS), data breaches, or complete system compromise.
Attack Tree Path: 3. Malicious Model Injection/Loading [CRITICAL NODE]:
Attack Vectors: * Target Internal/Private Model Storage [HIGH-RISK PATH]: * Gaining unauthorized access to internal model repositories (e.g., network shares, cloud storage, databases). * Exploiting weak access controls, misconfigurations, or vulnerabilities in storage systems. * Using stolen credentials or social engineering to access model storage. * Exploit Model Deserialization Vulnerabilities [HIGH-RISK PATH]: * Crafting malicious model files that exploit vulnerabilities in the model loading/deserialization process (e.g., using pickle vulnerabilities in Python or MXNet). * Triggering buffer overflows, arbitrary code execution, or other memory corruption issues during model loading. * Impact: Allows the attacker to replace legitimate models with backdoored or malicious models, leading to manipulated application behavior, data theft, or further system compromise.
Attack Tree Path: 4. Data Poisoning via GluonCV Input [CRITICAL NODE]:
Attack Vectors: * Exploit Image/Video Processing Vulnerabilities (in underlying libraries used by GluonCV) [HIGH-RISK PATH]: * Crafting malicious images or videos that exploit vulnerabilities (e.g., buffer overflows, format string bugs) in image/video decoding libraries like OpenCV, Pillow, or FFmpeg. * Triggering code execution or DoS by providing specially crafted input data. * Impact: Can lead to Remote Code Execution (RCE), Denial of Service (DoS), or manipulation of model predictions.
Attack Tree Path: 5. Exploit Vulnerabilities in GluonCV Code or Dependencies [CRITICAL NODE] [HIGH-RISK PATH]:
Attack Vectors: * Exploit Vulnerabilities in MXNet (Backend Framework) [HIGH-RISK PATH]: * Targeting known vulnerabilities in MXNet, the deep learning framework that GluonCV relies on. * Exploiting memory corruption bugs, insecure deserialization flaws, or other vulnerabilities in MXNet. * Exploit Vulnerabilities in other GluonCV Dependencies [HIGH-RISK PATH]: * Identifying and exploiting vulnerabilities in other Python packages used by GluonCV (e.g., libraries for image processing, networking, or utilities). * Using automated vulnerability scanners to find vulnerable dependencies. * Impact: Can lead to Remote Code Execution (RCE), Denial of Service (DoS), or privilege escalation.
Attack Tree Path: 6. Exploit Misconfiguration or Improper Usage of GluonCV in Application [CRITICAL NODE]:
Attack Vectors: * Insufficient Input Validation in Application Code [CRITICAL NODE] [HIGH-RISK PATH]: * Application Passes Untrusted Input Directly to GluonCV Functions [HIGH-RISK PATH]: * Failing to sanitize or validate user-provided input (e.g., uploaded images, video streams) before passing it to GluonCV functions. * Allowing malicious input to reach vulnerable image/video processing libraries or model loading routines. * Overly Permissive Permissions for GluonCV Components [CRITICAL NODE] [HIGH-RISK PATH]: * Application Runs GluonCV with Excessive Privileges [HIGH-RISK PATH]: * Running GluonCV processes or the application itself with unnecessary high privileges (e.g., root or administrator). * Increasing the impact of successful exploits by allowing attackers to gain broader system access. * Weak Access Control to Model Storage or Configuration [HIGH-RISK PATH]: * Failing to implement proper access controls to model files, configuration files, or other sensitive resources used by GluonCV. * Allowing unauthorized modification or access to critical components. * Impact: Can lead to data poisoning, application malfunction, privilege escalation, or system compromise.
Attack Vectors: * Compromise Developer/Operator Accounts [CRITICAL NODE] [HIGH-RISK PATH]: * Phishing Attacks [HIGH-RISK PATH]: * Sending deceptive emails, messages, or creating fake websites to trick developers or operators into revealing their credentials (usernames, passwords, MFA codes). * Targeting individuals with access to critical systems, code repositories, or deployment environments. * Impact: Gaining access to developer/operator accounts can provide broad access to systems, code, data, and deployment pipelines, leading to significant compromise.
Attack Tree Path: 8. Gain Access to Development/Deployment Environment [CRITICAL NODE] [HIGH-RISK PATH]:
Attack Vectors: * Inject Malicious Code or Models during Development/Deployment [HIGH-RISK PATH]: * Compromising development machines, CI/CD pipelines, or deployment infrastructure. * Injecting malicious code into the application codebase during development or deployment stages. * Replacing legitimate models with malicious ones in the deployment pipeline. * Impact: Can lead to supply chain attacks, widespread compromise of deployed applications, and long-term persistent access.
This breakdown provides a focused view on the most critical threats and attack paths related to using GluonCV, allowing security efforts to be prioritized effectively.