Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ShulkwiSEC/bb-huge --skill graphql-idor-via-introspection-leakgit clone --depth 1 https://github.com/ShulkwiSEC/bb-hugeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/shulkwisec/bb-huge/graphql-idor-via-introspection-leak)<a href="https://agentmods.dev/skills/shulkwisec/bb-huge/graphql-idor-via-introspection-leak"><img src="https://agentmods.dev/badge/skills/shulkwisec/bb-huge/graphql-idor-via-introspection-leak/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/shulkwisec/bb-huge/graphql-idor-via-introspection-leak"><img src="https://agentmods.dev/badge/skills/shulkwisec/bb-huge/graphql-idor-via-introspection-leak.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00103 | $0.01719 |
| Opus 5 | $0.00051 | $0.00860 |
| Sonnet 5 | $0.00021 | $0.00344 |
| Haiku 4.5 | $0.00010 | $0.00172 |
Grade A, and why
graphql-idor-via-introspection-leak scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GraphQL IDOR via Introspection Leak Hunting
What Is Broken and Why
GraphQL resolvers often receive an id argument supplied by the client but fail to verify that the authenticated user owns the referenced object. Authorization is typically implemented at the HTTP middleware layer (REST-style) and never propagated down to individual resolvers — creating a gap when GraphQL is bolted on later. Introspection leaks the full schema, letting an attacker enumerate every query and mutation that accepts an ID argument, then systematically probe each one for missing ownership checks.
Key Signals
- Introspection not disabled —
__schemareturns data in production idarguments typed asID!orString!with no documented ownership constraint- Objects expose sensitive fields (PII, tokens, internal metadata) retrievable by bare ID
- App uses Relay global IDs (base64-encoded
TypeName:uuid) — trivially enumerable - Error messages like
"Not found"vs"Forbidden"reveal object existence (oracle) - Batching enabled — can enumerate hundreds of IDs in one request without rate limiting
- Dual-stack architecture (REST + GraphQL) where REST has authz middleware but GraphQL resolvers were added later
Methodology
- Discover the endpoint — probe
/graphql,/api/graphql,/v1/graphql,/gql - Run introspection — dump the full schema
- Identify object types with ID args — look for queries/mutations accepting
id,userId,resourceId,ownerId - Create two test accounts — Account A (attacker) and Account B (victim)
- Grab a victim resource ID — note an object ID owned by Account B
- Query as attacker — from Account A's session, call the resolver with Account B's ID
- Test mutations too — attempt
update,delete,transfermutations with cross-account IDs - Test unauthenticated — remove session token entirely; some resolvers skip auth at the GraphQL layer
- Confirm impact — verify you can read, modify, or delete data you don't own
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 133 lines · 103 tokens per session scan A a1dfb0eecd74
graphql-idor-via-introspection-leak is a skill published in the GitHub repository ShulkwiSEC/bb-huge (22 stars, last pushed 2mo ago), licensed MIT. It adds 103 tokens to every session and 1,719 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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