GitHub - shivasurya/code-pathfinder: Static Code Analysis for security teams with Inter file taint analysis. Built for finding vulnerabilities, advanced structural search, derive insights and supports MCP

brew install shivasurya/tap/pathfinder

pathfinder scan --ruleset python/all --project .

pathfinder scan --ruleset docker/all --project .

app.py:5    user_input = request.get("query")     ← Source: user-controlled input
  ↓ calls
db.py:12    cursor.execute(query)                  ← Sink: SQL execution

Source Code → Tree-sitter AST → Call Graph → Variable Dependency Graph → Taint Analysis → Findings
                                     ↓
                              Inter-procedural
                              Taint Summaries
                              (cross-file flows)

# Scan with a specific bundle
pathfinder scan --ruleset python/django --project .

# Scan with multiple bundles
pathfinder scan --ruleset python/flask --ruleset python/jwt --project .

# Scan a single rule
pathfinder scan --ruleset python/PYTHON-DJANGO-SEC-001 --project .

# Scan all rules for a language
pathfinder scan --ruleset python/all --project .

pathfinder serve --project .

from codepathfinder import calls, flows, QueryType
from codepathfinder.presets import PropagationPresets

class DBCursor(QueryType):
    fqns = ["sqlite3.Cursor", "psycopg2.extensions.cursor"]
    match_subclasses = True

@python_rule(
    id="PYTHON-DJANGO-SEC-001",
    name="Django SQL Injection via cursor.execute()",
    severity="CRITICAL",
    cwe="CWE-89",
)
def detect_django_cursor_sqli():
    return flows(
        from_sources=[
            calls("request.GET.get"),
            calls("request.POST.get"),
        ],
        to_sinks=[
            DBCursor.method("execute").tracks(0),
            calls("cursor.execute"),
        ],
        sanitized_by=[calls("escape"), calls("escape_string")],
        propagates_through=PropagationPresets.standard(),
        scope="global",  # cross-file taint analysis
    )

# Run your custom rules
pathfinder scan --rules ./my_rules/ --project .

brew install shivasurya/tap/pathfinder

pip install codepathfinder

docker pull shivasurya/code-pathfinder:stable-latest

docker run --rm -v "$(pwd):/src" \
  shivasurya/code-pathfinder:stable-latest \
  scan --ruleset python/all --project /src

git clone https://github.com/shivasurya/code-pathfinder
cd code-pathfinder/sast-engine
gradle buildGo
./build/go/pathfinder --help

# Scan with text output (default)
pathfinder scan --ruleset python/all --project .

# JSON output
pathfinder scan --ruleset python/all --project . --output json --output-file results.json

# SARIF output (GitHub Code Scanning)
pathfinder scan --ruleset python/all --project . --output sarif --output-file results.sarif

# CSV output
pathfinder scan --ruleset python/all --project . --output csv --output-file results.csv

# Fail CI on critical/high findings
pathfinder scan --ruleset python/all --project . --fail-on=critical,high

# MCP server mode
pathfinder serve --project .

# Verbose output with statistics
pathfinder scan --ruleset python/all --project . --verbose

name: Code Pathfinder Security SAST Scan

on:
  pull_request:

permissions:
  security-events: write
  contents: read
  pull-requests: write

jobs:
  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v6
        with:
          fetch-depth: 0

      - name: Run Security Scan
        uses: shivasurya/code-pathfinder@v2.1.1
        with:
          ruleset: python/all, docker/all, docker-compose/all
          verbose: true
          pr-comment: ${{ github.event_name == 'pull_request' }}
          pr-inline: ${{ github.event_name == 'pull_request' }}
          github-token: ${{ secrets.GITHUB_TOKEN }}

      - name: Upload SARIF
        uses: github/codeql-action/upload-sarif@v4
        if: always()
        with:
          sarif_file: pathfinder-results.sarif