GraphGuard AI
GAT Based Code Vulnerability Detector For C
GraphGuard Forensic Engine
Automated vulnerability detection for C based on Graph Attention Networks (GAT). Deploys hybrid static analysis to identify logic flaws in control flow.
- 01Syntactic Integrity
Input must be valid, compilable C99/C11 syntax. The AST parser requires standard grammar to generate the graph topology. Syntax errors will abort the pipeline.
- 02Dependency Resolution
Always include standard headers (e.g., <string.h>, <stdio.h>). The engine relies on symbol resolution to identify library calls.
- 03Scope Containment
Analysis is limited to the provided translation unit (single file). Inter-procedural logic across multiple files is currently ignored.
- 04Function-Centricity
The GAT model optimizes for function-level control flow. For best results, encapsulate vulnerable logic within functions rather than global scope.
- 05Preprocessor Stability
Avoid complex, nested macro expansions. Heavily obfuscated preprocessor directives may obscure the Code Property Graph (CPG).