[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ESST1RNARZ9VM0P5BP0ZFS":3,"skill-same:01M6ESST1RNARZ9VM0P5BP0ZFS":112},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":31,"publishedAt":52,"linkOnly":53,"markdownContent":54,"markdownBody":55,"frontMatter":56,"refName":73,"commitSha":74,"skillDirectory":75,"forksCount":14,"repositoryHtmlUrl":76,"repositoryHomepageUrl":77,"ownerHtmlUrl":78,"ownerBlogUrl":6,"ownerDescription":79,"updatedAt":80,"install":81,"resources":94},"01M6ESST1RNARZ9VM0P5BP0ZFS","analyzing-web-server-logs-for-intrusion",null,"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.","henriquescastilho\u002Fmy-claude","henriquescastilho","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F153296945?v=4","01M6ESH7EXPXTH9CVQ4K16SRG8","Henrique Scheer","01M6ESH7JHEK2PTNNH4HEH787Z",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhenriquescastilho\u002Fmy-claude\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fanalyzing-web-server-logs-for-intrusion\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"web","logs","server","analyzing","analyzing web server logs for intrusion","pattern matching","cybersecurity","geoip","local","signatures","cm","access","sql-injection-detection","nginx-logs","apache-logs","web-log-analysis","log-analysis","intrusion-detection","security-operations","nginx","2026-11-10 10:12:30",false,"---\nname: analyzing-web-server-logs-for-intrusion\ndescription: Parse Apache and Nginx access logs to detect SQL injection attempts,\n  local file inclusion, directory traversal, web scanner fingerprints, and brute-force\n  patterns. Uses regex-based pattern matching against OWASP attack signatures, GeoIP\n  enrichment for source attribution, and statistical anomaly detection for request\n  frequency and response size outliers.\ndomain: cybersecurity\nsubdomain: security-operations\ntags:\n- web-log-analysis\n- apache-logs\n- nginx-logs\n- sql-injection-detection\n- lfi-detection\n- directory-traversal\n- intrusion-detection\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nnist_csf:\n- DE.CM-01\n- RS.MA-01\n- GV.OV-01\n- DE.AE-02\nmitre_attack:\n- T1190\n- T1059.007\n- T1110\n- T1595.002\n- T1505.003\n---\n\n\n# Analyzing Web Server Logs for Intrusion\n\n\n## When to Use\n\n- When investigating security incidents that require analyzing web server logs for intrusion\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Familiarity with security operations concepts and tools\n- Access to a test or lab environment for safe execution\n- Python 3.8+ with required dependencies installed\n- Appropriate authorization for any testing activities\n\n## Instructions\n\n1. Install dependencies: `pip install geoip2 user-agents`\n2. Collect web server access logs in Combined Log Format (Apache) or Nginx default format.\n3. Parse each log entry extracting: IP, timestamp, method, URI, status code, response size, user-agent, referer.\n4. Apply detection rules:\n   - SQL injection: `UNION SELECT`, `OR 1=1`, `' OR '`, hex encoding patterns\n   - LFI\u002FPath traversal: `..\u002F`, `\u002Fetc\u002Fpasswd`, `\u002Fproc\u002Fself`, `php:\u002F\u002Ffilter`\n   - XSS: `\u003Cscript>`, `javascript:`, `onerror=`, `onload=`\n   - Scanner signatures: nikto, sqlmap, dirbuster, gobuster, wfuzz user-agents\n   - Brute force: >50 POST requests to login endpoints from same IP in 5 minutes\n5. Enrich with GeoIP data and generate a prioritized findings report.\n\n```bash\npython scripts\u002Fagent.py --log-file \u002Fvar\u002Flog\u002Fnginx\u002Faccess.log --geoip-db GeoLite2-City.mmdb --output web_intrusion_report.json\n```\n\n## Examples\n\n### Detect SQLi in URI\n```\n192.168.1.100 - - [15\u002FJan\u002F2024:10:30:45 +0000] \"GET \u002Fproducts?id=1' UNION SELECT username,password FROM users-- HTTP\u002F1.1\" 200 4532\n```\n\n### Scanner User-Agent Detection\n```\nNikto\u002F2.1.6, sqlmap\u002F1.7, DirBuster-1.0-RC1, gobuster\u002F3.1.0\n```\n","# Analyzing Web Server Logs for Intrusion\n\n\n## When to Use\n\n- When investigating security incidents that require analyzing web server logs for intrusion\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Familiarity with security operations concepts and tools\n- Access to a test or lab environment for safe execution\n- Python 3.8+ with required dependencies installed\n- Appropriate authorization for any testing activities\n\n## Instructions\n\n1. Install dependencies: `pip install geoip2 user-agents`\n2. Collect web server access logs in Combined Log Format (Apache) or Nginx default format.\n3. Parse each log entry extracting: IP, timestamp, method, URI, status code, response size, user-agent, referer.\n4. Apply detection rules:\n   - SQL injection: `UNION SELECT`, `OR 1=1`, `' OR '`, hex encoding patterns\n   - LFI\u002FPath traversal: `..\u002F`, `\u002Fetc\u002Fpasswd`, `\u002Fproc\u002Fself`, `php:\u002F\u002Ffilter`\n   - XSS: `\u003Cscript>`, `javascript:`, `onerror=`, `onload=`\n   - Scanner signatures: nikto, sqlmap, dirbuster, gobuster, wfuzz user-agents\n   - Brute force: >50 POST requests to login endpoints from same IP in 5 minutes\n5. 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