Test Retrieval-Augmented Generation (RAG) systems for data poisoning, prompt injection via retrieved documents, and data exfiltration through manipulated context windows. Use this skill when assessing RAG-based chatbots, knowledge bases, enterprise AI assistants, or any system that augments LLM responses with external document retrieval. Covers document injection, embedding manipulation, knowledge base poisoning, and cross-document inference attacks.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
TLS/SSL configuration audit. Tests protocol versions (SSLv2/3, TLS 1.0/1.1/1.2/1.3), cipher strength and ordering, certificate chain validation (intermediates, CT logs, OCSP stapling, pinning), known vulnerabilities (POODLE, BEAST, CRIME, Heartbleed, ROBOT, DROWN, Ticketbleed, GOLDENDOODLE), session management (ticket reuse, resumption, fixation), renegotiation attacks, TLS 1.3-specific issues (0-RTT replay, PSK modes, downgrade), HSTS deep analysis (preload, subdomains, bypass), and certificate revocation (CRL, OCSP responder, stapled response freshness). Compliance-mapped to PCI DSS 4.0 (full Section 4), NIST SP 800-52r2, and FedRAMP. Uses testssl.sh, sslscan, sslyze, openssl, nmap NSE scripts, and nuclei SSL templates. Multi-port scanning across 20+ TLS-bearing services.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Deep OAuth 2.0 / OpenID Connect security assessment. Covers the full attack surface: redirect_uri validation bypass (path traversal, open redirect chains, subdomain confusion, URL parsing tricks, parameter pollution, response mode switching), missing/broken state parameter CSRF, PKCE downgrade and absent-challenge attacks, implicit grant token leakage (Referer, browser history, XSS fragment theft), authorization code injection, scope escalation, client confusion attacks, mutable-claims account takeover (iss+sub confusion, email-keyed identity merging), pre-account takeover via unverified registration, OpenID Connect dynamic client registration SSRF (logo_uri, jwks_uri, sector_identifier_uri, request_uri), nonce replay, ID token validation failures, Device Code phishing flow, mobile custom URI scheme hijacking, refresh token persistence, token introspection enumeration, consent screen clickjacking, host header injection, and cross-IdP mix-up attacks. Uses KOAuth, jwt_tool, nuclei oauth templates, and manual http(action="request", ...) payloads. Every technique includes actual request payloads and verification logic. Chains from /pentester or /api-security when OAuth endpoints are discovered. Chains into /web-exploit for open redirect, XSS, and SSRF chaining. Chains into /post-exploit when full account takeover is achieved. Chains into /credential-audit when access tokens or refresh tokens are recovered.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Test Model Context Protocol (MCP) servers and tool-calling systems for security vulnerabilities including tool injection, parameter manipulation, privilege escalation, and data exfiltration through AI agent tool interfaces. Use this skill when assessing MCP server implementations, AI agent tool integrations, or any system that exposes tools to language models. Covers tool confusion attacks, cross-tool exploitation, and MCP server hardening assessment.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Systematic fuzzing across two dimensions: (1) content discovery — hidden directories, files, backup/source leaks, HTTP verb enumeration, 401/403 bypass via path manipulation; (2) input validation — auth/token stripping, type confusion, boundary value analysis, HTTP parameter pollution, header fuzzing, cookie fuzzing, mass assignment discovery, and entropy/predictability analysis of any generated value. Works on any domain. Chains from /web-exploit or /pentester; chains into /business-logic when boundary violations, predictable IDs, or mass assignment are confirmed.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Identify and exploit logic flaws in OAuth implementations, focusing specifically on the absence or improper validation of the `state` parameter, which leads to Cross-Site Request Forgery (CSRF) and account takeover (ATO).
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Exploit weak password reset and change flows via CSRF on reset forms, cross-user password modification by swapping username parameters, token predictability in reset links, reset displaying old password in plaintext (revealing weak storage), missing current-password verification on change forms, and session hijacker lockout via passwordless change. Test with Burp Suite, OWASP ZAP following OWASP Forgot Password Cheat Sheet.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Execute advanced Man-in-the-Middle (MITM) NTLM Relay attacks specifically targeting environments where SMB Signing is purportedly enabled but improperly configured (e.g., exclusively required on Domain Controllers but NOT enforced universally on standard Workstations or File Servers). Utilize powerful tools like Responder and Impacket's NTLMRelayX to coercively capture NTLMv2 authentications (via LLMNR, WPAD, or Coercion methods like PetitPotam) and seamlessly relay them across the network identically yielding immediate Local Administrator command execution.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Identify and exploit Prototype Pollution vulnerabilities in JavaScript applications to achieve client-side Cross-Site Scripting (XSS), bypass authentication, or execute Remote Code Execution (RCE) on Node.js servers by manipulating the core Object prototype.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Active Directory and network lateral movement assessment. Pass-the-hash, pass-the-ticket, Kerberoasting, AS-REP roasting, NTLM relay, SMB relay, WMI/WinRM/PSRemoting abuse, constrained/unconstrained delegation, RBCD, cross-trust exploitation, and pivoting. Uses impacket, netexec, enum4linux-ng, smbmap, smbclient, bloodhound-python, Responder, ntlmrelayx, mitm6, and ldap-utils. Chains from /post-exploit or /credential-audit.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Linux lateral movement playbook. Use after gaining initial access to pivot across Linux hosts via SSH hijacking, credential harvesting, internal pivoting, D-Bus exploitation, sudo token reuse, and shared filesystem abuse.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Exploit Java Insecure Deserialization vulnerabilities leading to Remote Code Execution (RCE). Identify serialized Java objects natively passed within HTTP parameters, cookies, or sockets (e.g., `rO0AB...`). Utilize `ysoserial` to meticulously craft malignant payload chains exploiting vulnerable gadget libraries like CommonsCollections inherently present in the application's classpath.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Test organizational egress controls by executing various data exfiltration techniques during a red team engagement. Use this skill to simulate an adversary attempting to steal sensitive data without triggering DLP (Data Loss Prevention) or network monitoring alerts. Covers exfiltration over DNS, ICMP, HTTP/S, alternative protocols (SSH/FTP), cloud services, and physical methods.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Use when hunting GitHub Actions cache poisoning vulnerabilities where an attacker can inject malicious content into the CI/CD cache and have it restored by a privileged downstream workflow. Trigger on: "cache poisoning", "actions/cache", "actions/setup-node", "node_modules cache", "GitHub Actions cache", "pnpm cache", "LRU eviction", "10GB limit", "Cacheract", "poisoned cache", "workflow cache attack", supply chain via CI cache, "ng-renovate", "cache stuffing", scheduled workflow cache restore, shared cache key, "hashFiles package.json", cross-workflow cache, PR workflow release workflow same key, "npm install prefer-offline", Cacheract, Gato-X, supply chain npm token.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Dangling markup injection playbook. Use when HTML injection is possible but JavaScript execution is blocked (CSP, sanitizer strips event handlers, WAF blocks script tags) — exfiltrate CSRF tokens, session data, and page content by injecting unclosed HTML tags that capture subsequent page content.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Exploit Document Object Model (DOM) Based Cross-Site Scripting (XSS) vulnerabilities. Unlike Reflected or Stored XSS, the attack payload is executed purely on the client-side as a result of modifying the DOM environment, often without the payload ever reaching the backend server.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Identify and exploit Cross-Site Request Forgery (CSRF) vulnerabilities by bypassing weak or flawed anti-CSRF token implementations, SameSite cookie attributes, and Origin/Referer headers. Use this skill when testing state-changing web application endpoints for session riding attacks. Covers token removal, token fixation, multipart manipulation, and chaining with XSS for complete bypass.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
CSRF testing playbook. Use when reviewing state-changing web flows, anti-CSRF defenses, SameSite behavior, JSON CSRF, login CSRF, and OAuth state handling.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Cross-Site Request Forgery (CSRF) tricks authenticated users into submitting forged requests to a target application by exploiting browser automatic cookie attachment. Detect via missing or predictable CSRF tokens in state-changing requests (POST/PUT/DELETE), absent `SameSite` cookie attributes, and JSON endpoints accepting `text/plain` Content-Type. Test using HTML auto-submitting forms, XHR requests, and CORS-enabled fetch. Tools: Burp Suite (Generate CSRF PoC), OWASP ZAP.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
DNS rebinding attack playbook. Use when testing applications that trust DNS resolution for origin checks, interact with internal services from browser context, or when SSRF is not possible server-side but the target has client-side fetch/XHR to attacker-controlled domains.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Exploit Server-Side Request Forgery (SSRF) vulnerabilities on Amazon Web Services (AWS) EC2 instances to access the highly sensitive Instance Metadata Service (IMDS). Circumvent basic protections and extract temporary IAM access keys, escalating privileges comprehensively across the AWS Cloud environment.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
CORS misconfiguration allows attacker-controlled origins to read sensitive cross-origin responses when servers echo the `Origin` header in `Access-Control-Allow-Origin` or set it to `*` with `Access-Control-Allow-Credentials: true`. Detect via `Origin: https://attacker.com` reflection in `Access-Control-Allow-Origin` response header, wildcard `*` on credentialed endpoints, and null origin acceptance. Tools: OWASP ZAP, Burp Suite, manual `fetch()` with `credentials: include`.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
Penetration test AWS cloud environments for misconfigurations, privilege escalation, data exposure, and lateral movement. Use this skill when assessing AWS accounts for security weaknesses including S3 bucket misconfigurations, IAM policy flaws, EC2 metadata exploitation, Lambda function abuse, and cross-account attack paths. Covers both external and authenticated AWS pentesting.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新
White-box source code security review structured around OWASP ASVS 5.0 (427 verification requirements across 16 chapters). Reads and understands application source code to build a security-aware knowledge base that enriches all downstream skills. Covers: tech stack identification, route/endpoint mapping, authentication and authorization architecture, dangerous function patterns, source-to-sink data flow tracing, IaC review, dependency analysis, ASVS compliance mapping, and LLM integration security (prompt injection, tool abuse, output handling, RAG poisoning, MCP server patterns). When LLM/AI framework usage is detected, automatically reviews OWASP LLM Top 10 patterns from source code and chains into /ai-redteam with white-box context for live endpoint testing. Chains into /pentester, /threat-modeling, /web-exploit, /api-security, /cloud-security, /analyze-cve, /credential-audit, and /ai-redteam — providing white-box context that transforms black-box testing into targeted, informed assessment.
日本語の概要は準備中です。原文の説明を表示しています。
ShulkwiSEC/bb-huge☆ 232026年7月11日 更新