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Call Graph Analysis for Contextual Vulnerability Detection · htrgouvea zarn · Discussion #59 · GitHub
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Currently, ZARN performs single-file context analysis, which limits its ability to identify vulnerabilities that span across multiple files or are indirectly related to the analyzed code. To address this limitation, we propose the implementation of Call Graph Analysis as an enhancement to ZARN's capabilities.
A Call Graph represents the relationships between functions and their invocations across an application, enabling the identification of vulnerabilities that may only become apparent when analyzing the flow of data or control between files. With this enhancement, ZARN could:
Trace function calls across files to determine if a vulnerability is exploitable in a broader context.
Identify indirect sources and sinks by mapping the relationships between functions.
Improve the accuracy of vulnerability detection and reduce false negatives.
Proposed Implementation:
Create a Module: Zarn::Engine::CallGraph
This module would be responsible for building and managing the call graph.
It should parse the files specified for analysis and extract function definitions and invocations.
Key Functionalities:
Graph Construction:
Parse all files to identify function definitions and invocations, then construct a directed graph where:
Nodes represent functions.
Edges represent function calls.
Source and Sink Mapping:
Integrate with the existing Taint Tracking to map user inputs (sources) to sensitive functions (sinks) across the graph.
Traversal Algorithms:
Implement efficient traversal algorithms to analyze paths between sources and sinks, identifying exploitable vulnerabilities.
Integration with Existing Modules:
Leverage the existing Zarn::AST for parsing function tokens efficiently.
Use Zarn::Files to filter and include only relevant files.
Configuration Options:
Allow users to enable or disable call graph analysis through a configuration flag.
Provide options to exclude specific files or directories during graph construction.
Benefits:
Improved Detection Accuracy: By analyzing function interactions, vulnerabilities that rely on indirect flows can be detected.
Broader Context: Expands ZARN's scope to analyze the entire application structure.
Better Developer Experience: Offers more actionable insights by revealing the paths leading to vulnerabilities.
Next Steps:
Discuss the feasibility of this implementation and refine the requirements.
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Currently, ZARN performs single-file context analysis, which limits its ability to identify vulnerabilities that span across multiple files or are indirectly related to the analyzed code. To address this limitation, we propose the implementation of Call Graph Analysis as an enhancement to ZARN's capabilities.
A Call Graph represents the relationships between functions and their invocations across an application, enabling the identification of vulnerabilities that may only become apparent when analyzing the flow of data or control between files. With this enhancement, ZARN could:
Proposed Implementation:
Graph Construction:
Source and Sink Mapping:
Traversal Algorithms:
Benefits:
Next Steps:
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