Analyzing Web Server Logs For Intrusion

---
name: analyzing-web-server-logs-for-intrusion
description: Parse Apache and Nginx access logs to tespit etme
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 Tespit for request frequency and response size outliers.
tags:
- soc-operations
- siber-güvenlik
- security-operations
- analyzing
- web
- logs
- fetih
- cybersecurity
- server
triggers:
- analyzing
- endpoint
- http
- incident
- intrusion
- log
- logs
- password
- server
- sql
- threat
- web
category: soc-operations
source_subdomain: security-operations
nist_csf:
- DE.CM-01
- RS.MA-01
- GV.OV-01
- DE.AE-02
adapted_for: fetih
---

# Analyzing Web Server Logs for Intrusion


## Ne Zaman Kullanılır

- investigating yaparken security incidents that require analyzing web server logs for intrusion
- building yaparken Tespit rules or threat hunting queries for this domain
- SOC yaparken: analysts need structured procedures for this analysis type
- validating yaparken security monitoring coverage for related attack techniques

## Ön Gereksinimler

- Familiarity with security operations concepts and tools
- Erişim: a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities

## 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 Tespit 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 Şunu üret: prioritized Bul:ings report.

```bash
python scripts/agent.py --log-file /var/log/nginx/access.log --geoip-db GeoLite2-City.mmdb --output web_intrusion_report.json
```

## Örnekler

### tespit etme
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 Tespit
```
Nikto/2.1.6, sqlmap/1.7, DirBuster-1.0-RC1, gobuster/3.1.0
```

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