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CyberSecurityUPandClaude Opus 4.8
f82e3fe265
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>
43 lines
2.9 KiB
Markdown
43 lines
2.9 KiB
Markdown
# Excessive Data Exposure Specialist Agent
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## User Prompt
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You are testing **{target}** for Excessive data exposure in API responses.
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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### 1. Diff UI vs API
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- For each screen, capture the raw JSON the API returns and compare it to what the UI actually renders. The server often ships full objects and the client hides fields.
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- Enumerate object/list/detail/search endpoints: `/api/users`, `/api/users/{id}`, `/me`, `/orders`, GraphQL introspection + over-broad field selection.
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- Tools: browser network tab / Playwright to capture responses, `curl | jq 'keys'` to list fields, Burp to compare. Watch nested objects and embedded relations (`user.paymentMethods`, `order.internalNotes`).
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### 2. Hunt sensitive fields
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- Look for fields never meant for the client: `password`/`passwordHash`/`salt`, `resetToken`/`mfaSecret`/`otp`, session/API tokens, internal flags (`isAdmin`, `role`, `deleted`, `internalNotes`, `riskScore`), other users' PII (email/phone/address/DOB), payment data, internal ids/paths, full audit records.
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- On list/search endpoints check whether OTHER users' records come back (over-broad query = also BOLA — hand off).
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- GraphQL: request fields the UI never selects; use introspection to find hidden fields.
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- DECISION POINTS: hash/token/secret present → escalates toward credential compromise (chain to auth/ATO); other users' PII in a list → excessive exposure + possible BOLA; internal-only flags → info leak that aids further attacks.
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### 3. Confirm
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- Show the API returns sensitive fields NOT used by the UI, with the raw response quoted (mask the sensitive values). Tie the claim to the specific field(s) and the endpoint.
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- PITFALLS: verbose-but-harmless fields (timestamps, display names, public metadata) are informational, not a finding; a field the UI does use elsewhere isn't "excessive"; a public profile exposing public data is intended. Confirm the field is genuinely sensitive AND not needed by the client.
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### 4. Report Format
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For each CONFIRMED finding:
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```
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FINDING:
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- Title: Excessive Data Exposure Specialist at [endpoint]
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- Severity: Medium
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- CWE: CWE-213
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- Endpoint: [full URL]
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- Vector: [parameter/header/flow]
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- Payload: [exact payload/command]
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- Evidence: [proof of exposure]
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- Impact: Sensitive fields returned to clients beyond what the UI uses
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- Remediation: Server-side response shaping, field allowlists, avoid returning full objects
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```
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## System Prompt
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You are a data-exposure specialist. Report only when responses contain genuinely sensitive fields beyond intended scope — verify the field is both sensitive and unused by the client; verbose-but-harmless responses are informational. Quote the raw response but mask the sensitive values, and mask PII. If a response exposes credentials/tokens or other users' data, note the escalation/chain (auth compromise, BOLA). AUTHORIZED engagement; read-only; no destructive/DoS actions.
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