[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7D6PVJS5DN33HGS5GCEDVR6":3,"skill-same:01M7D6PVJS5DN33HGS5GCEDVR6":87},{"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":16,"sourceHtmlUrl":17,"categories":18,"keywords":19,"publishedAt":20,"linkOnly":21,"markdownContent":22,"markdownBody":23,"frontMatter":24,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":54,"ownerDescription":55,"updatedAt":56,"install":57,"resources":70},"01M7D6PVJS5DN33HGS5GCEDVR6","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.","SaiVatsal\u002FSkills-I-Use","SaiVatsal","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F242597752?v=4","01M7D5YM1T4VXW9203M0GFAHZ1","SaiVatsalPolimera","01M7D5YM2D61ST39XVR2V7B7ZJ",3,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002FAnthropic-Cybersecurity-Skills-main\u002Fskills\u002Fanalyzing-web-server-logs-for-intrusion\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002FAnthropic-Cybersecurity-Skills-main\u002Fskills\u002Fanalyzing-web-server-logs-for-intrusion\u002FSKILL.md",[],[],"2026-11-15 14:19:17",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. 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",{"name":5,"tags":25,"author":33,"domain":34,"license":15,"version":35,"nist_csf":36,"subdomain":41,"description":7,"mitre_attack":42},[26,27,28,29,30,31,32],"web-log-analysis","apache-logs","nginx-logs","sql-injection-detection","lfi-detection","directory-traversal","intrusion-detection","mahipal","cybersecurity","1.0",[37,38,39,40],"DE.CM-01","RS.MA-01","GV.OV-01","DE.AE-02","security-operations",[43,44,45,46,47],"T1190","T1059.007","T1110","T1595.002","T1505.003","main","8a3b3de73262a4c4db64523949360f3c599c2fb1","Anthropic-Cybersecurity-Skills-main\u002Fskills\u002Fanalyzing-web-server-logs-for-intrusion",0,"https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use","https:\u002F\u002Fgithub.com\u002FSaiVatsal","https:\u002F\u002Fsaivatsal.github.io\u002FPortfolio\u002F","The Longer It Takes The Stronger It Becomes ","2026-09-21 22:45:58",{"source":8,"skillName":5,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add SaiVatsal\u002FSkills-I-Use --skill analyzing-web-server-logs-for-intrusion",{"tool":63,"command":64},"bunx","bunx skills add SaiVatsal\u002FSkills-I-Use --skill analyzing-web-server-logs-for-intrusion",{"tool":66,"command":67},"pnpm","pnpm dlx skills add SaiVatsal\u002FSkills-I-Use --skill analyzing-web-server-logs-for-intrusion","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002FAnthropic-Cybersecurity-Skills-main\u002Fskills\u002Fanalyzing-web-server-logs-for-intrusion\u002FSKILL.md",true,[71,75,81],{"path":72,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":16},"LICENSE","许可证",11255,{"path":76,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":79,"sourceHtmlUrl":80},"references\u002Fapi-reference.md","REFERENCE","参考文档",1450,"https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002FAnthropic-Cybersecurity-Skills-main\u002Fskills\u002Fanalyzing-web-server-logs-for-intrusion\u002Freferences\u002Fapi-reference.md",{"path":82,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":86},"scripts\u002Fagent.py","SCRIPT","脚本",8481,"https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002FAnthropic-Cybersecurity-Skills-main\u002Fskills\u002Fanalyzing-web-server-logs-for-intrusion\u002Fscripts\u002Fagent.py",[88,96,104,113,120,127],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":92,"sourceHtmlUrl":93,"categories":94,"keywords":95,"publishedAt":20},"01M7DJZP6E6KMBQV4CZSDPZEZ8","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002Fwebapp-testing\u002FSKILL.md",[],[],{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":100,"sourceHtmlUrl":101,"categories":102,"keywords":103,"publishedAt":20},"01M7DJZFTS5TS06K2TV3MDTE67","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002Fweb-artifacts-builder\u002FSKILL.md",[],[],{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":108,"licenseFileUrl":109,"sourceHtmlUrl":110,"categories":111,"keywords":112,"publishedAt":20},"01M7DJRK4SRQ908F2TJM6EZ7EV","ui-styling","Create beautiful, accessible user interfaces with shadcn\u002Fui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications.","MIT","https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002Fui-ux-pro-max-skill-main\u002Fcli\u002Fassets\u002Fskills\u002Fui-styling\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002Fui-ux-pro-max-skill-main\u002Fcli\u002Fassets\u002Fskills\u002Fui-styling\u002FSKILL.md",[],[],{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":108,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":119,"publishedAt":20},"01M7DJR902059VEQP23PVM2WA0","design","Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social\u002Fads\u002Fweb\u002Fprint), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.","https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002Fui-ux-pro-max-skill-main\u002Fcli\u002Fassets\u002Fskills\u002Fdesign\u002FSKILL.md",[],[],{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":108,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":126,"publishedAt":20},"01M7DJR56QF5N6XYTCPCFHFMNP","design-system","Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing\u002Ftypography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.","https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002Fui-ux-pro-max-skill-main\u002Fcli\u002Fassets\u002Fskills\u002Fdesign-system\u002FSKILL.md",[],[],{"skillNo":128,"name":129,"nameZh":6,"description":130,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":108,"licenseFileUrl":6,"sourceHtmlUrl":131,"categories":132,"keywords":133,"publishedAt":20},"01M7DJQXB6M0SFF7NX8J5N01AH","banner-design","Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter\u002FX, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.","https:\u002F\u002Fgithub.com\u002FSaiVatsal\u002FSkills-I-Use\u002Fblob\u002Fmain\u002Fui-ux-pro-max-skill-main\u002Fcli\u002Fassets\u002Fskills\u002Fbanner-design\u002FSKILL.md",[],[]]