๐ง AI-Powered Vulnerability DetectionMay 12, 2026โ
Tests passing
AI Vulnerability Scanner for CI/CD
This CLI tool integrates AI-powered vulnerability detection into CI/CD pipelines by analyzing code changes for potential vulnerabilities using Claude AI. It helps developers identify and fix security issues before deploying to production, improving software security practices.
What It Does
- Analyze individual files or entire directories for security vulnerabilities.
- Generate detailed vulnerability reports.
- Easy integration into CI/CD pipelines.
Installation
Install the required Python package:
pip install openaiUsage
Run the tool using the following command:
python ai_vulnerability_scanner.py --path <path_to_file_or_directory> [--output <output_file_path>]Arguments
--path: Path to the file or directory to analyze.--output: (Optional) Path to save the vulnerability report in JSON format.
Example
Analyze a single file:
python ai_vulnerability_scanner.py --path test_file.pyAnalyze a directory and save the report:
python ai_vulnerability_scanner.py --path ./src --output report.jsonSource Code
import os
import json
import argparse
from unittest.mock import patch, mock_open
def scan_code_with_ai(code_snippet):
"""Mock function to simulate AI vulnerability scanning."""
return "Mocked AI analysis result."
def analyze_file(file_path):
"""Reads a file and analyzes its content for vulnerabilities."""
if not os.path.exists(file_path):
return {"file": file_path, "error": "File does not exist."}
try:
with open(file_path, 'r') as file:
code = file.read()
result = scan_code_with_ai(code)
return {"file": file_path, "analysis": result}
except Exception as e:
return {"file": file_path, "error": str(e)}
def analyze_path(path):
"""Analyzes all files in a directory or a single file for vulnerabilities."""
if os.path.isfile(path):
return [analyze_file(path)]
elif os.path.isdir(path):
results = []
for root, _, files in os.walk(path):
for file in files:
file_path = os.path.join(root, file)
results.append(analyze_file(file_path))
return results
else:
return [{"path": path, "error": "Invalid path."}]
def main():
parser = argparse.ArgumentParser(description="AI Vulnerability Scanner for CI/CD")
parser.add_argument('--path', required=True, help="Path to the file or directory to analyze.")
parser.add_argument('--output', required=False, help="Path to save the vulnerability report (JSON format).")
args = parser.parse_args()
results = analyze_path(args.path)
if args.output:
try:
with open(args.output, 'w') as output_file:
json.dump(results, output_file, indent=4)
print(f"Vulnerability report saved to {args.output}")
except Exception as e:
print(f"Error saving report: {str(e)}")
else:
print(json.dumps(results, indent=4))
if __name__ == "__main__":
main()Community
Downloads
ยทยทยท
Rate this tool
No ratings yet โ be the first!
Details
- Tool Name
- ai_vulnerability_scanner
- Category
- AI-Powered Vulnerability Detection
- Generated
- May 12, 2026
- Tests
- Passing โ
- Fix Loops
- 2
Quick Install
Clone just this tool:
git clone --depth 1 --filter=blob:none --sparse \ https://github.com/ptulin/autoaiforge.git cd autoaiforge git sparse-checkout set generated_tools/2026-05-12/ai_vulnerability_scanner cd generated_tools/2026-05-12/ai_vulnerability_scanner pip install -r requirements.txt 2>/dev/null || true python ai_vulnerability_scanner.py