security-scanning-security-sast

name	security-scanning-security-sast
description	Static Application Security Testing (SAST) for code vulnerability analysis across multiple languages and frameworks
risk	unknown
source	community
date_added	2026-02-27

SAST Security Plugin

Static Application Security Testing (SAST) for comprehensive code vulnerability detection across multiple languages, frameworks, and security patterns.

Capabilities

• Multi-language SAST: Python, JavaScript/TypeScript, Java, Ruby, PHP, Go, Rust
• Tool integration: Bandit, Semgrep, ESLint Security, SonarQube, CodeQL, PMD, SpotBugs, Brakeman, gosec, cargo-clippy
• Vulnerability patterns: SQL injection, XSS, hardcoded secrets, path traversal, IDOR, CSRF, insecure deserialization
• Framework analysis: Django, Flask, React, Express, Spring Boot, Rails, Laravel
• Custom rule authoring: Semgrep pattern development for organization-specific security policies

Use this skill when

Use for code review security analysis, injection vulnerabilities, hardcoded secrets, framework-specific patterns, custom security policy enforcement, pre-deployment validation, legacy code assessment, and compliance (OWASP, PCI-DSS, SOC2).

Specialized tools: Use security-secrets.md for advanced credential scanning, security-owasp.md for Top 10 mapping, security-api.md for REST/GraphQL endpoints.

Do not use this skill when

• You only need runtime testing or penetration testing
• You cannot access the source code or build outputs
• The environment forbids third-party scanning tools

Instructions

1. Identify the languages, frameworks, and scope to scan.
2. Select SAST tools and configure rules for the codebase.
3. Run scans in CI or locally with reproducible settings.
4. Triage findings, prioritize by severity, and propose fixes.

Safety

• Avoid uploading proprietary code to external services without approval.
• Require review before enabling auto-fix or blocking releases.

SAST Tool Selection

Python: Bandit

# Installation & scan
pip install bandit
bandit -r . -f json -o bandit-report.json
bandit -r . -ll -ii -f json  # High/Critical only

Configuration: .bandit

exclude_dirs: ['/tests/', '/venv/', '/.tox/', '/build/']
tests: [B201, B301, B302, B303, B304, B305, B307, B308, B312, B323, B324, B501, B502, B506, B602, B608]
skips: [B101]

JavaScript/TypeScript: ESLint Security

npm install --save-dev eslint @eslint/plugin-security eslint-plugin-no-secrets
eslint . --ext .js,.jsx,.ts,.tsx --format json > eslint-security.json

Configuration: .eslintrc-security.json

{
  "plugins": ["@eslint/plugin-security", "eslint-plugin-no-secrets"],
  "extends": ["plugin:security/recommended"],
  "rules": {
    "security/detect-object-injection": "error",
    "security/detect-non-literal-fs-filename": "error",
    "security/detect-eval-with-expression": "error",
    "security/detect-pseudo-random-prng": "error",
    "no-secrets/no-secrets": "error"
  }
}

Multi-Language: Semgrep

pip install semgrep
semgrep --config=auto --json --output=semgrep-report.json
semgrep --config=p/security-audit --json
semgrep --config=p/owasp-top-ten --json
semgrep ci --config=auto  # CI mode

Custom Rules: .semgrep.yml

rules:
  - id: sql-injection-format-string
    pattern: cursor.execute("... %s ..." % $VAR)
    message: SQL injection via string formatting
    severity: ERROR
    languages: [python]
    metadata:
      cwe: "CWE-89"
      owasp: "A03:2021-Injection"

  - id: dangerous-innerHTML
    pattern: $ELEM.innerHTML = $VAR
    message: XSS via innerHTML assignment
    severity: ERROR
    languages: [javascript, typescript]
    metadata:
      cwe: "CWE-79"

  - id: hardcoded-aws-credentials
    patterns:
      - pattern: $KEY = "AKIA..."
      - metavariable-regex:
           
           
        
     
     [, , ]

    
    
         
          
       
           
          
              
         
     
     []

    
    
       
            
             
       
           
          
             
                    
                  
        
     
     []

Other Language Tools

Java: mvn spotbugs:check Ruby: brakeman -o report.json -f json Go: gosec -fmt=json -out=gosec.json ./... Rust: cargo clippy -- -W clippy::unwrap_used

Vulnerability Patterns

SQL Injection

VULNERABLE: String formatting/concatenation with user input in SQL queries

SECURE:

# Parameterized queries
cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))
User.objects.filter(id=user_id)  # ORM

Cross-Site Scripting (XSS)

VULNERABLE: Direct HTML manipulation with unsanitized user input (innerHTML, outerHTML, document.write)

SECURE:

// Use textContent for plain text
element.textContent = userInput;

// React auto-escapes
<div>{userInput}</div>

// Sanitize when HTML required
import DOMPurify from 'dompurify';
element.innerHTML = DOMPurify.sanitize(userInput);

Hardcoded Secrets

VULNERABLE: Hardcoded API keys, passwords, tokens in source code

SECURE:

import os
API_KEY = os.environ.get('API_KEY')
PASSWORD = os.getenv('DB_PASSWORD')

Path Traversal

VULNERABLE: Opening files using unsanitized user input

SECURE:

import os
ALLOWED_DIR = '/var/www/uploads'
file_name = request.args.get('file')
file_path = os.path.join(ALLOWED_DIR, file_name)
file_path = os.path.realpath(file_path)
if not file_path.startswith(os.path.realpath(ALLOWED_DIR)):
    raise ValueError("Invalid file path")
with open(file_path, 'r') as f:
    content = f.read()

Insecure Deserialization

VULNERABLE: pickle.loads(), yaml.load() with untrusted data

SECURE:

import json
data = json.loads(user_input)  # SECURE
import yaml
config = yaml.safe_load(user_input)  # SECURE

Command Injection

VULNERABLE: os.system() or subprocess with shell=True and user input

SECURE:

subprocess.run(['ping', '-c', '4', user_input])  # Array args
import shlex
safe_input = shlex.quote(user_input)  # Input validation

Insecure Random

VULNERABLE: random module for security-critical operations

SECURE:

import secrets
token = secrets.token_hex(16)
session_id = secrets.token_urlsafe(32)

Framework Security

Django

VULNERABLE: @csrf_exempt, DEBUG=True, weak SECRET_KEY, missing security middleware

SECURE:

# settings.py
DEBUG = False
SECRET_KEY = os.environ.get('DJANGO_SECRET_KEY')

MIDDLEWARE = [
    'django.middleware.security.SecurityMiddleware',
    'django.middleware.csrf.CsrfViewMiddleware',
    'django.middleware.clickjacking.XFrameOptionsMiddleware',
]

SECURE_SSL_REDIRECT = True
SESSION_COOKIE_SECURE = True
CSRF_COOKIE_SECURE = True
X_FRAME_OPTIONS = 'DENY'

Flask

VULNERABLE: debug=True, weak secret_key, CORS wildcard

SECURE:

import os
from flask_talisman import Talisman

app.secret_key = os.environ.get('FLASK_SECRET_KEY')
Talisman(app, force_https=True)
CORS(app, origins=['https://example.com'])

Express.js

VULNERABLE: Missing helmet, CORS wildcard, no rate limiting

SECURE:

const helmet = require('helmet');
const rateLimit = require('express-rate-limit');

app.use(helmet());
app.use(cors({ origin: 'https://example.com' }));
app.use(rateLimit({ windowMs: 15 * 60 * 1000, max: 100 }));

Multi-Language Scanner Implementation

import json
import subprocess
from pathlib import Path
from typing import Dict, List, Any
from dataclasses import dataclass
from datetime import datetime

@dataclass
class SASTFinding:
    tool: str
    severity: str
    category: str
    title: str
    description: str
    file_path: str
    line_number: int
    cwe: str
    owasp: str
    confidence: str

class MultiLanguageSASTScanner:
    def __init__(self, project_path: str):
        self.project_path = Path(project_path)
        self.findings: List[SASTFinding] = []

    def detect_languages(self) -> List[str]:
        """Auto-detect languages"""
        languages = []
        indicators = {
            'python': ['*.py', 'requirements.txt'],
            'javascript': ['*.js', 'package.json'],
            'typescript': ['*.ts', ],
            : [, ],
            : [, ],
            : [, ],
            : [, ],
        }
         lang, patterns  indicators.items():
             pattern  patterns:
                 (.project_path.glob()):
                    languages.append(lang)
                    
         languages

     () -> [, ]:
        
        languages = .detect_languages()

        scan_results = {
            : datetime.now().isoformat(),
            : languages,
            : [],
            : []
        }

        .run_semgrep_scan()
        scan_results[].append()

           languages:
            .run_bandit_scan()
            scan_results[].append()
           languages    languages:
            .run_eslint_security_scan()
            scan_results[].append()

        scan_results[] = [(f)  f  .findings]
        scan_results[] = .generate_summary()
         scan_results

     ():
        
         ruleset  [, , ]:
            :
                result = subprocess.run([
                    , , ruleset, , ,
                    (.project_path)
                ], capture_output=, text=, timeout=)

                 result.stdout:
                    data = json.loads(result.stdout)
                     f  data.get(, []):
                        .findings.append(SASTFinding(
                            tool=,
                            severity=f.get(, {}).get(, ).upper(),
                            category=,
                            title=f.get(, ),
                            description=f.get(, {}).get(, ),
                            file_path=f.get(, ),
                            line_number=f.get(, {}).get(, ),
                            cwe=f.get(, {}).get(, {}).get(, ),
                            owasp=f.get(, {}).get(, {}).get(, ),
                            confidence=f.get(, {}).get(, {}).get(, )
                        ))
             Exception  e:
                ()

     () -> [, ]:
        
        severity_counts = {: , : , : , : }
         f  .findings:
            severity_counts[f.severity] = severity_counts.get(f.severity, ) + 

         {
            : (.findings),
            : severity_counts,
            : .calculate_risk_score(severity_counts)
        }

     () -> :
        
        weights = {: , : , : , : }
        total = (weights[s] * c  s, c  severity_counts.items())
         (, ((total / ) * ))

CI/CD Integration

GitHub Actions

name: SAST Scan
on:
  pull_request:
    branches: [main]

jobs:
  sast:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-python@v4
        with:
          python-version: '3.11'

      - name: Install tools
        run: |
          pip install bandit semgrep
          npm install -g eslint @eslint/plugin-security

      - name: Run scans
        run: |
          bandit -r . -f json -o bandit.json || true
          semgrep --config=auto --json --output=semgrep.json || true

      - name: Upload reports
        uses: actions/upload-artifact@v3
        with:
          name: sast-reports
          path: |
            bandit.json
            semgrep.json

GitLab CI

sast:
  stage: test
  image: python:3.11
  script:
    - pip install bandit semgrep
    - bandit -r . -f json -o bandit.json || true
    - semgrep --config=auto --json --output=semgrep.json || true
  artifacts:
    reports:
      sast: bandit.json

Best Practices

1. Run early and often - Pre-commit hooks and CI/CD
2. Combine multiple tools - Different tools catch different vulnerabilities
3. Tune false positives - Configure exclusions and thresholds
4. Prioritize findings - Focus on CRITICAL/HIGH first
5. Framework-aware scanning - Use specific rulesets
6. Custom rules - Organization-specific patterns
7. Developer training - Secure coding practices
8. Incremental remediation - Fix gradually
9. Baseline management - Track known issues
10. Regular updates - Keep tools current

Related Tools

• security-secrets.md - Advanced credential detection
• security-owasp.md - OWASP Top 10 assessment
• security-api.md - API security testing
• security-scan.md - Comprehensive security scanning

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.