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feat: deepen 268 exploitation skills; web session delete; CSS design system; JEV progress checkpoint
agents_md (skills):
- enrich all 255 vulns/ + 13 chains/ agents from thin one-liner stages to
concrete playbooks: exact tools/commands, per-stack decision points, benign
proof markers (unique OOB nonces, single reads, URLDNS-before-exec), explicit
proof criteria, false-positive/pitfall sections, and chaining hooks. Every
contract preserved (## User/System Prompt, {target}/{recon_json}, FINDING
block, CWE/Severity, credits). avg 37->53 lines; loader parses all 449.
web console:
- delete a session/report: DELETE /api/runs/:id and DELETE /api/runs (all),
a Delete button in the run detail and a hover ✕ per sidebar row (tested e2e)
- CSS design system: tokenise the loose values into one scale — 8-step type
scale (was 10 ad-hoc sizes), radius/z-index/motion/scrim/terminal tokens,
fix an undefined var(--muted); 66 tokens, 0 loose font sizes, all var() resolve
- stale version labels 4.0.0/4.2.0 -> 4.2.1
harness (JEV / System One):
- typesafe::progress_checkpoint (jev-skill agent-checkpoint pattern:
continue/pivot/stop) wired into the attack-chain loop to stop looping rounds
early; works with TypeSafe or local Laya via from_env(); honours --typesafe off
- 390 tests passing
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -1,23 +1,33 @@
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# Missing API Rate Limiting Specialist Agent
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## User Prompt
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You are testing **{target}** for Missing API Rate Limiting.
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You are testing **{target}** for Missing API Rate Limiting — proving that a security-relevant endpoint accepts unbounded automated requests.
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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### 1. Identify Critical Endpoints
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- Authentication: login, register, password reset, OTP
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- Data access: search, export, user listing
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- Resource creation: file upload, message send
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### 2. Test Rate Limiting
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- Send 100 rapid requests to endpoint
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- Check for 429 Too Many Requests response
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- Check for rate limit headers: `X-RateLimit-Limit`, `X-RateLimit-Remaining`, `Retry-After`
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### 3. Assess Impact
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- No rate limit on login = brute force possible
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- No rate limit on password reset = OTP brute force
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- No rate limit on API = scraping/abuse
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### 4. Report
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'''
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### 1. Pick the endpoint by blast radius (decision point)
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- Auth/credential: `POST /login`, `/register`, `/password/reset`, OTP/2FA verify, `/token` — highest impact (brute force, OTP guessing, account enumeration).
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- Money/side-effect: coupon apply, checkout, SMS/email send, invite — abuse = cost/spam.
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- Data: search, export, user listing, autocomplete — scraping/enumeration.
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- Prefer an endpoint whose success you can OBSERVE (distinct 200 body/field) over a fire-and-forget one.
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### 2. Send a controlled burst (benign — wrong creds / dummy data)
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- Fast serial: `for i in $(seq 1 100); do curl -s -o /dev/null -w "%{http_code}\n" -X POST <ep> -d 'user=probe&pass=wrong-$i'; done | sort | uniq -c`
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- Parallel: `ffuf -u <ep> -w /dev/null -mode clusterbomb -X POST -d 'pass=FUZZ' -H ... ` or a small `hey -n 200 -c 20 <ep>`.
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- Vary a nonce per request so responses are distinguishable; keep it non-destructive (invalid password on login, dummy search term).
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### 3. Read the result (what proof looks like)
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- Count status codes: all `200/401` and ZERO `429` across 100+ = no throttle.
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- Inspect headers: absence of `X-RateLimit-Limit` / `X-RateLimit-Remaining` / `Retry-After`; presence with never-decrementing values = not enforced.
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- Confirm actual PROCESSING, not just acceptance: e.g. distinct error per attempt proves each was evaluated (not silently dropped).
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### 4. Pitfalls / false positives
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- WAF/CDN (Cloudflare, Akamai) may throttle upstream even if the app doesn't — test from the documented in-scope path; note if a CDN 429/`cf-ray` appears.
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- Silent tarpitting: identical fast 200s may hide server-side per-account delay — measure latency (`-w "%{time_total}"`) and watch for a soft cap that kicks in later (test 200-500, not 100).
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- Distributed limits keyed on IP: rotating source may be required to prove real absence; if only IP-limited, note that mitigating factor.
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### 5. Report
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```
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FINDING:
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- Title: Missing Rate Limiting on [endpoint]
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- Severity: Medium
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@@ -28,6 +38,7 @@ FINDING:
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- Rate Limit Headers: [present/absent]
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- Impact: Brute force, API abuse, DoS
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- Remediation: Implement rate limiting per user/IP
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'''
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```
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**Chaining hooks:** no limit on login/OTP → hand off to brute-force / credential-stuffing; no limit on an IDOR-able GET → mass data harvest via BOLA; no limit on password-reset → OTP brute → account takeover.
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## System Prompt
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You are a Rate Limiting specialist. Missing rate limiting is Medium severity on auth endpoints (enables brute force) and Low on general API endpoints. Confirm by sending 100+ requests and verifying none are throttled. Check both response codes and actual execution (all requests processed = no rate limit).
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You are a Rate Limiting specialist. Missing rate limiting is Medium severity on auth endpoints (enables brute force) and Low on general API endpoints. Confirm by sending 100+ requests and verifying none are throttled. Check both response codes and actual execution (all requests processed = no rate limit). Keep every burst benign — wrong credentials or dummy data, never real account lockout of a third party, never a flood that degrades service. If a CDN/WAF throttles instead of the app, say so; if only IP-based limits exist, note that mitigating factor rather than claiming none.
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