codepathfinder 1.1.1

Python DSL for code-pathfinder security patterns

Code-Pathfinder Python DSL

Python DSL for defining security patterns in Code Pathfinder - an open-source security suite combining structural code analysis with AI-powered vulnerability detection.

Project Goals:

• Real-time IDE integration bringing security insights directly into your editor
• AI-assisted analysis leveraging LLMs to understand context and identify vulnerabilities
• Unified workflow coverage from local development to CI/CD pipelines
• Flexible reporting supporting DefectDojo, GitHub Advanced Security, SARIF, and other platforms

Documentation: https://codepathfinder.dev/

Installation

pip install codepathfinder

Quick Example

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

@rule(id="sql-injection", severity="critical", cwe="CWE-89")
def detect_sql_injection():
    """Detects SQL injection vulnerabilities"""
    return flows(
        from_sources=calls("request.GET", "request.POST"),
        to_sinks=calls("execute", "executemany"),
        sanitized_by=calls("quote_sql"),
        propagates_through=PropagationPresets.standard(),
        scope="global"
    )

Features

• Matchers: calls(), variable() for pattern matching
• Dataflow Analysis: flows() for source-to-sink taint tracking
• Propagation: Explicit propagation primitives (assignment, function args, returns)
• Logic Operators: And(), Or(), Not() for complex rules
• JSON IR: Serializes to JSON for Go executor integration

Documentation

For detailed documentation, visit https://codepathfinder.dev/

Requirements

• Python 3.8+
• No external dependencies (stdlib only!)

License

AGPL-3.0 - GNU Affero General Public License v3