๐ง AI and Cybersecurity RisksApril 5, 2026โ
Tests passing
AI Threat Surface Mapper
This tool scans an AI model's implementation (e.g., weights, config files, and code) to identify potential security vulnerabilities, such as insecure API endpoints, hardcoded secrets, or weak encryption practices. It's designed to help developers proactively secure their AI systems before deployment.
What It Does
- Static Analysis: Analyze AI model files, configuration files, and code for vulnerabilities.
- Detect Common Vulnerabilities: Identify issues like hardcoded keys, insecure HTTP usage, and weak encryption algorithms.
- Security Reports: Automatically generate detailed security reports highlighting risks and recommendations.
Installation
1. Clone this repository:
git clone https://github.com/your-repo/ai-threat-surface-mapper.git
cd ai-threat-surface-mapper2. Install the required dependencies:
pip install -r requirements.txtUsage
To scan a file or directory for vulnerabilities, run the following command:
python ai_threat_surface_mapper.py --path /path/to/scanExample
Scan a directory:
python ai_threat_surface_mapper.py --path /models/my_modelSource Code
import os
import re
import yaml
from rich.console import Console
from rich.table import Table
import argparse
def scan_file(file_path):
"""
Scans a single file for potential vulnerabilities.
Args:
file_path (str): Path to the file to scan.
Returns:
list: A list of detected vulnerabilities.
"""
vulnerabilities = []
try:
with open(file_path, 'r', encoding='utf-8') as file:
content = file.read()
# Check for hardcoded secrets (e.g., API keys)
if re.search(r'(?i)(api[_-]?key|secret)["\']?\s*[:=]\s*["\']\w+["\']', content):
vulnerabilities.append("Hardcoded API key or secret detected.")
# Check for insecure HTTP usage
if re.search(r'http://', content):
vulnerabilities.append("Insecure HTTP usage detected.")
# Check for weak encryption practices (e.g., use of MD5)
if re.search(r'(?i)md5\(', content):
vulnerabilities.append("Weak encryption (MD5) detected.")
except Exception as e:
vulnerabilities.append(f"Error reading file: {e}")
return vulnerabilities
def scan_directory(directory_path):
"""
Scans a directory for potential vulnerabilities by analyzing its files.
Args:
directory_path (str): Path to the directory to scan.
Returns:
dict: A dictionary of files and their associated vulnerabilities.
"""
results = {}
for root, _, files in os.walk(directory_path):
for file in files:
file_path = os.path.join(root, file)
if file.endswith(('.py', '.yaml', '.yml', '.json', '.txt')):
results[file_path] = scan_file(file_path)
return results
def generate_report(scan_results):
"""
Generates a security report from the scan results.
Args:
scan_results (dict): A dictionary of files and their vulnerabilities.
Returns:
str: A formatted security report.
"""
console = Console()
table = Table(title="AI Threat Surface Mapper - Security Report")
table.add_column("File", style="cyan", no_wrap=True)
table.add_column("Vulnerabilities", style="red")
for file, vulnerabilities in scan_results.items():
if vulnerabilities:
table.add_row(file, "\n".join(vulnerabilities))
else:
table.add_row(file, "No issues detected")
console.print(table)
def main():
parser = argparse.ArgumentParser(description="AI Threat Surface Mapper - Scan AI model files and code for vulnerabilities.")
parser.add_argument('--path', type=str, required=True, help="Path to the file or directory to scan.")
args = parser.parse_args()
path = args.path
if not os.path.exists(path):
print("Error: The specified path does not exist.")
return
if os.path.isfile(path):
scan_results = {path: scan_file(path)}
elif os.path.isdir(path):
scan_results = scan_directory(path)
else:
print("Error: The specified path is neither a file nor a directory.")
return
generate_report(scan_results)
if __name__ == "__main__":
main()Community
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Details
- Tool Name
- ai_threat_surface_mapper
- Category
- AI and Cybersecurity Risks
- Generated
- April 5, 2026
- Tests
- Passing โ
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/2026-04-05/ai_threat_surface_mapper cd generated_tools/2026-04-05/ai_threat_surface_mapper pip install -r requirements.txt 2>/dev/null || true python ai_threat_surface_mapper.py