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Anthropic-Cybersecurity-Skills/skills/analyzing-web-server-logs-for-intrusion/SKILL.md
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mukul975 c47eed6a64 Production hardening: security fixes, code quality, 724 skills complete
- Fix 25 shell=True subprocess calls with list-based commands
- Fix 49 verify=False in defensive skills (env-var override)
- Add timeout to 231 HTTP/subprocess/socket calls
- Fix 6 SQL injection patterns with whitelist validation
- Replace 8 __import__() with standard imports
- Remove 701 unused imports across 442 files
- Add authorized-testing disclaimers to all offensive skills
- Complete 11 incomplete skill directories
- Expand 10 stub SKILL.md files with full content
- Fix 2 YAML parse errors in frontmatter
- Fix 5 pre-existing syntax errors
- Convert 22 hardcoded paths/ports to environment variables
- Back up 21 redundant skill pairs to .bak
- Fix 2 global declaration errors
- 724/724 skills with full folder anatomy (SKILL.md + agent.py + api-reference.md + LICENSE)
- 0 compile errors across all 724 agent.py files
2026-03-19 13:26:49 +01:00

1.7 KiB

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name description domain subdomain tags version author license
analyzing-web-server-logs-for-intrusion Parse Apache and Nginx access logs to detect SQL injection attempts, local file inclusion, directory traversal, web scanner fingerprints, and brute-force patterns. Uses regex-based pattern matching against OWASP attack signatures, GeoIP enrichment for source attribution, and statistical anomaly detection for request frequency and response size outliers. cybersecurity security-operations
analyzing
web
server
logs
1.0 mahipal Apache-2.0

Analyzing Web Server Logs for Intrusion

Instructions

  1. Install dependencies: pip install geoip2 user-agents
  2. Collect web server access logs in Combined Log Format (Apache) or Nginx default format.
  3. Parse each log entry extracting: IP, timestamp, method, URI, status code, response size, user-agent, referer.
  4. Apply detection rules:
    • SQL injection: UNION SELECT, OR 1=1, ' OR ', hex encoding patterns
    • LFI/Path traversal: ../, /etc/passwd, /proc/self, php://filter
    • XSS: <script>, javascript:, onerror=, onload=
    • Scanner signatures: nikto, sqlmap, dirbuster, gobuster, wfuzz user-agents
    • Brute force: >50 POST requests to login endpoints from same IP in 5 minutes
  5. Enrich with GeoIP data and generate a prioritized findings report.
python scripts/agent.py --log-file /var/log/nginx/access.log --geoip-db GeoLite2-City.mmdb --output web_intrusion_report.json

Examples

Detect SQLi in URI

192.168.1.100 - - [15/Jan/2024:10:30:45 +0000] "GET /products?id=1' UNION SELECT username,password FROM users-- HTTP/1.1" 200 4532

Scanner User-Agent Detection

Nikto/2.1.6, sqlmap/1.7, DirBuster-1.0-RC1, gobuster/3.1.0