[P2] Data Flow Analysis Engine #234

Activity

1. mrveiss

   added

   code-quality

   priority: medium

   security

   on Nov 28, 2025
2. mrveiss commented on Nov 30, 2025

   

   mrveiss

   on Nov 30, 2025

   OwnerAuthor

   More actions

   Starting implementation of Data Flow Analysis Engine.

   Implementation Plan

   1. Variable tracking from AST - Track variable definitions and uses
   2. Data flow graph - Build def-use chains and reaching definitions
   3. Taint analysis - Track tainted data from sources to sinks
   4. Security patterns - Identify SQL injection, XSS, data exposure
   5. API endpoints - Provide analysis via REST API

   Will create backend/api/analytics_dfa.py with full implementation.
3. mrveiss commented on Nov 30, 2025

   

   mrveiss

   on Nov 30, 2025

   OwnerAuthor

   More actions

   Implementation Complete ✅

   Files Created/Modified

   • Created: backend/api/analytics_dfa.py (~900 lines) - Complete Data Flow Analysis Engine
   • Modified: backend/initialization/routers.py - Added router registration

   Features Implemented

   1. Variable Tracking

   • Tracks all variable definitions (assignments) with line/column info
   • Tracks all variable uses (reads) with context
   • Builds def-use chains linking definitions to their uses

   2. Data Flow Graph

   • DataFlowEdge: Represents data flow from source to target variable
   • Tracks transformations (assignment, concatenation, f-string)
   • Propagates taint through data flow edges

   3. Taint Analysis

   • TaintLevel: UNTAINTED, PARTIALLY_TAINTED, TAINTED, SANITIZED
   • Taint Sources: 25+ sources including:
     • User input (input, request.*, etc.)
     • File operations (open, read, etc.)
     • Database (fetchone, fetchall)
     • Network (socket, requests, urllib)
     • Environment variables
   • Taint Propagation: Automatic through assignments, concatenation, f-strings

   4. Security Vulnerability Detection

   • SQL Injection (CRITICAL): Direct string concatenation in execute()
   • Command Injection (CRITICAL/HIGH): Tainted data in subprocess/os.system
   • Code Injection (CRITICAL): eval/exec with user input
   • XSS (HIGH): Tainted data in render_template_string
   • Path Traversal (HIGH): Tainted data in file paths
   • Insecure Deserialization (CRITICAL): pickle.loads, yaml.load

   5. Sanitizer Recognition

   • Recognizes 15+ sanitizer functions (escape, int, float, etc.)
   • Updates taint level to SANITIZED when applied

   API Endpoints

   POST /api/dfa-analytics/dfa/analyze           - Analyze source code
   POST /api/dfa-analytics/dfa/analyze-file      - Analyze a Python file
   POST /api/dfa-analytics/dfa/vulnerabilities   - Get only vulnerabilities
   POST /api/dfa-analytics/dfa/taint-summary     - Get taint analysis summary
   GET  /api/dfa-analytics/dfa/sources           - List taint sources
   GET  /api/dfa-analytics/dfa/sinks             - List security sinks
   GET  /api/dfa-analytics/dfa/sanitizers        - List sanitizers
   GET  /api/dfa-analytics/dfa/health            - Health check
   

   Test Results

   ✅ Analyzed 5 scopes
   
   Function: vulnerable_sql
     Vulnerabilities: 1
       [CRITICAL] sql_injection - Line 11
       Recommendation: Use parameterized queries or an ORM
     Tainted variables: ['user_input', 'query']
   
   Function: vulnerable_command
     Vulnerabilities: 1
       [HIGH] command_injection - Line 18
       Recommendation: Use subprocess with list arguments, avoid shell=True
     Tainted variables: ['filename', 'cmd']
   
   Function: safe_sql
     Vulnerabilities: 0 (correctly identified as safe)
     Tainted variables: ['user_input']
   
   ✅ Total vulnerabilities detected: 2
   

   All requirements from Issue #234 have been implemented. The engine correctly:

   • Tracks variables across functions
   • Builds data flow graphs with def-use chains
   • Performs taint analysis from sources to sinks
   • Detects SQL injection, command injection, and other vulnerabilities
   • Recognizes sanitizers that neutralize taint
4. mrveiss

   closed this as completedon Nov 30, 2025