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Is Analyzing Web Server Logs For Intrusion free to use?

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Who published Analyzing Web Server Logs For Intrusion?

26zl (@26zl) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Analyzing Web Server Logs For Intrusion by 26zl

Name: Analyzing Web Server Logs For Intrusion
Author: 26zl

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.

26zl Updated Sep 17, 2026

File contents

Analyzing Web Server Logs for Intrusion

When to Use

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

Prerequisites

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

Instructions

Install dependencies: pip install geoip2 user-agents
Collect web server access logs in Combined Log Format (Apache) or Nginx default format.
Parse each log entry extracting: IP, timestamp, method, URI, status code, response size, user-agent, referer.
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
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

---name: analyzing-web-server-logs-for-intrusiondescription: 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.license: Apache-2.0---# Analyzing Web Server Logs for Intrusion## When to Use- When investigating security incidents that require analyzing web server logs for intrusion- When building detection rules or threat hunting queries for this domain- When SOC analysts need structured procedures for this analysis type- When validating security monitoring coverage for related attack techniques## Prerequisites- Familiarity with security operations concepts and tools- Access to a test or lab environment for safe execution- Python 3.8+ with required dependencies installed- Appropriate authorization for any testing activities## Instructions1. 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 minutes5. Enrich with GeoIP data and generate a prioritized findings report.```bashpython 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```

Frequently asked questions