Evidence Hygiene (Grade A) logo

Evidence Hygiene (Grade A)经过安全测试的 Claude AI 测试安全技能。A级。针对漏洞奖励提交的证据捕获与 PoC 红化规范:cookie 红化协议(哪些字段需要掩码,预览注释)

(0)
Daniel Nikulshyn审阅者 Daniel Nikulshyn·更新 2026年7月

概览

证据卫生是一套用于在漏洞奖励提交中捕获和红化证据的规范。它提供了处理敏感数据(如 cookie、个人身份信息(PII)以及其他用户数据)的指南。目标是在保护敏感信息的同时,为审计人员提供有用的证据。证据卫生包括 cookie 红化协议、PII 黑条规范、HAR 文件清理以及截图卫生等流程。它与 bugcrowd 的报告撰写技能相配合。核心原则是仅包含说服审计人员所必需的信息,删除所有非必要的敏感数据。这包括对会话 cookie、OAuth 令牌及其他用户 PII 进行红化,同时保留对审计人员有用的元数据,如 trace ID 和 request ID。证据卫生应在截取截图、导出 HAR 文件或附加证据到漏洞奖励提交之前使用。

主要功能

  • Cookie 红化协议
  • PII 黑条规范
  • HAR 文件清理
  • Burp Repeater/Intruder 截图卫生
  • Chrome DevTools 控制台 PoC 模式

价格

模型
Free
评分
暂无评价

使用场景

漏洞奖励提交

证据卫生用于保护敏感信息并确保提交质量高

PII 红化

证据卫生提供了处理和红化证据中 PII 的指南

优点 & 缺点

优点

  • 保护敏感信息
  • 帮助防止证据卫生错误
  • 提升漏洞奖励提交的质量

缺点

  • 需要严谨的纪律性和细致的关注
  • 实施可能耗时

评测

登录以留下评测。

暂无评测。来当第一个吧!

问答

Why this exists?

Most bug-hunting Claude setups are either too generic (one big "security" prompt) or too fragmented (you bookmark 30 disclosed reports and re-read them every engagement). Neither scales past the second target. This bundle was built and validated through authorized engagements that exposed different capability gaps: Bug-bounty engagement — surfaced four gaps a starter 3-skill stack could not close: 1. No hypothesis discipline — drafts written before validation → wasted hours, hurt validity ratio 2. No per-program reporting tactics — VRT defaults auto-downgraded P3-worthy findings to P4 3. No engagement coordination — findings, evidence, and submission IDs scattered across folders 4. No evidence hygiene — screenshots leaked cookies and victim PII External red-team engagement — exposed five additional gaps that bug-bounty defaults made worse: 1. Conservative defaults retracted real findings — WAPT mindset stopped tests early on defended targets where red-team continuation would have surfaced bypass chains → redteam-mindset 2. No mid-engagement situational awareness — client SOC patched confirmed SQLi within 30 min; external attacker locked 14 accounts during a live test session — both invisible without explicit detection methodology → mid-engagement-ir-detection 3. No enterprise-platform attack chains — M365 + Entra ID, on-prem SharePoint, Cisco SSL VPN, vCenter, and 7 Android APKs all needed current 2024-2026 CVE knowledge and platform-specific tradecraft → m365-entra-attack

Asked by Esther Adeyemi · Sep 25, 2025

Why your model switched mid-session?

Separate from refusals, and easy to miss. On Opus 5, a narrow set of higher-risk cyber requests — Anthropic names exploit generation, binary-based vulnerability scanning and penetration testing — fall back to Opus 4.8 rather than being refused. You get a notice and the response is labelled with the model that answered, but in a long agentic run that is easy to scroll past, so it can look like Opus 5 quietly got worse. See why Claude switched models. What to do depends on what you are actually doing: | Situation | What helps | |---|---| | Auditing your own code — reviewing a repo you own for defects | Say so. "Defensive review of my own repo", "check this against the OWASP Top 10", "secure refactor to remediate" describe the work accurately and read as remediation. This is not a workaround; the work genuinely is defensive. | | Authorized offensive work — live engagement, PoC for a bounty submission | This is what the bundle is for, and the supported route is CVP. Do not reword an offensive engagement to look defensive to get past a classifier — enroll instead. | | You just want the switching off | Settings → Capabilities disables automatic model switching. | /hunt states the engagement frame (authorized, scope-bounded, remediable finding) on its first turn for exactly this reason — engagement context belongs in the session explicitly, not implied.

Asked by Yelena Popova · Sep 17, 2025

How it works?

A 6-phase, non-linear workflow — recon → map & rank → hunt → validate → report — with scope enforced in code and a 7-Question Gate before anything is submitted. Two ways to drive it: Plain English — describe what you're testing and the relevant skill loads automatically. /hunt scaffold + cbh CLI — engagement-folder structure, state, and orchestration. → Usage guide & worked example · 6-phase architecture & skill-to-phase map · cbh CLI

Asked by Rasheed Osman · Jul 25, 2025

What's inside?

82 skills, auto-loaded by topic — no invocation by name. Coverage across the external attack surface: | Category | # | Examples | |---|---|---| | Web application hunting | 13 | XSS, SQLi, SSRF, IDOR, LFI, SSTI, XXE, CSRF, CORS, open-redirect | | Authentication & identity | 7 | auth-bypass, session, OAuth, SAML, MFA-bypass, ATO | | API & infrastructure | 15 | GraphQL, gRPC, WebSocket, API-misconfig, host-header, RCE | | Advanced & concurrency | 6 | race-condition, HTTP smuggling, deserialization, cache-poison | | Framework-specific | 4 | Next.js, Node.js, Laravel, Spring Boot | | Enterprise identity & cloud ★ | 3 | M365/Entra, Okta, cloud-IAM-deep | | Infrastructure & appliance ★ | 4 | VMware vCenter, enterprise VPN, SharePoint, ASP.NET/NTLM | | Red-team tradecraft ★ | 4 | redteam-mindset, APK pipeline, supply-chain recon, mid-engagement IR | | Recon & OSINT | 4 | web2-recon, offensive-osint, subdomain | | Workflow, reporting & specialized | 11 | methodology, triage-validation, evidence-hygiene, VRT-aware reporting | Full searchable catalog → docs/skills.md. Also ships 15 slash commands (/hunt, /recon, /report, …) and a deterministic engagement engine (engine/) that maps a target's attack surface and routes each finding to the skill that handles it.

Asked by Zofia Kaczmarek · Jul 24, 2025

What is this?

claude-bughunter is a drop-in skill bundle for the Claude Code skills system. Install once and Claude Code stops being a chatbot and starts behaving like a senior bug-hunting researcher or red-team operator: it knows the techniques, the chain templates, the VRT mappings, the platform CVE chains, and the hygiene — and it stays in scope. Four layers stack: Think — bb-methodology + redteam-mindset: the 5-phase non-linear workflow, critical-thinking framework, and red-team operator discipline. Hunt webapps — 48 hunt- skills curated from 681 disclosed HackerOne reports: per-class detection patterns, payloads, bypass tables, and chain templates. Hit the perimeter — enterprise platform chains (M365/Entra, Okta, vCenter, SSL-VPN appliances, SharePoint, cloud IAM): current 2024–2026 CVE chains + post-credential escalation. Ship it — triage-validation + reporting + evidence-hygiene: the 7-Question Gate, VRT-aware severity, OOS rebuttals, PII redaction, and red-team deliverables. All triggered automatically by topic — describe what you're testing in plain English and the relevant skill loads. No invocation by name.

Asked by Naomi Suzuki · Jun 23, 2025

提问

育言活动 的替代品

Using Git Worktrees (Grade A) logo
Using Git Worktrees (Grade A)育言活动

安全试验的数据-AI技能 - Claude AI。A级。即将开始需要与当前工作环境隔离的功能工作,或执行实施计划前-创建隔离的git工作tree

(0)
Free
Ga4 Bigquery Schema (Grade A) logo
Ga4 Bigquery Schema (Grade A)育言活动

为Claude AI提供了经过安全测试的数据ai技能。 Grade A. GA4 BigQuery导出模式参考 - 完整字段参考、嵌套结构、查询模式和性能提示

(0)
Free
Meta Capi (Grade A) logo
Meta Capi (Grade A)育言活动

安全测试的数据-AI技能,专为Claude AI打造。Grade A. Meta Conversions API (CAPI) 设置指南-架构、事件类型、客户信息哈希、去重复、实现示例、AEM

(0)
Free
Callees (Grade A) logo
Callees (Grade A)育言活动

经过安全测试的 Claude AI 开发技能。Grade A。列出函数/方法调用的直接调用图

(0)
Free
Test Module Name (Grade A) logo
Test Module Name (Grade A)育言活动

安全测试数据-ai技能,Grade A. 名为Haskell测试模块,以同一命名空间中的测试模块命名,并在其后添加 Spec 辅助。 在编写或审阅Haskell测试模块时使用。

(0)
Free
Board Of Directors (Grade A) logo
Board Of Directors (Grade A)育言活动

经安全检测的数据 AI 技能,适用于 Claude AI。A级。模拟五位专家董事会就重大决策进行审议。用于评估计划、架构选择、功能设计或任何决策。

(0)
Free
Advpl Mvc Avancado (Grade A) logo
Advpl Mvc Avancado (Grade A)育言活动

安全测试的开发技能,适用于 Claude AI。Grade A。通过 PE(入口点)实现高级 MVC —— 在标准 MVC 界面(CNTA300/MATA070/MATA440/MATA460/FINA040 via *STRU)中添加自定义网格。

(0)
Free
D
Docs Writer (Grade A)育言活动

经过安全测试的 DevOps 技能,适用于 Claude AI。Grade A。**WORKFLOW SKILL** — 在 docs site、agent files 和 changelog 中保持仓库文档的准确性和新鲜度。WHEN: "update docs"

(0)
Free