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.
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Use analyzing-web-server-logs-for-intrusion to analyze [authorized Apache or Nginx access logs] for [timeframe] in a test or lab environment, detect likely intrusion patterns, and deliver a prioritized findings report with available GeoIP attribution.
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[authorized Apache or Nginx access logs]
[timeframe]
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SKILL.md
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.domain: cybersecuritysubdomain: security-operationstags: - web-log-analysis- apache-logs- nginx-logs- sql-injection-detection- lfi-detection- directory-traversal- intrusion-detectionversion: '1.0'author: mahipallicense: Apache-2.0nist_csf: - DE.CM-01- RS.MA-01- GV.OV-01- DE.AE-02mitre_attack: - T1190- T1059.007- T1110- T1595.002- T1505.003
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