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api-security-automation

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UpdatedMay 21, 2026 at 06:53

API security automation skill for REST, GraphQL, gRPC, and WebSocket APIs. Covers OpenAPI/AsyncAPI ingestion, authenticated fuzzing, OWASP API Top 10 (BOLA, BFLA, mass assignment, SSRF), schema diffing, GraphQL introspection abuse, JWT and OAuth misuse, rate-limit and replay testing. Use to automate API assessments with safe, scoped, evidence-backed findings.

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Masriyan

Masriyan/gemini-security-skills

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Information Security AnalystsComputer and Mathematical Occupations·SOC 15-1212

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SKILL.md

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name	api-security-automation
description	API security automation skill for REST, GraphQL, gRPC, and WebSocket APIs. Covers OpenAPI/AsyncAPI ingestion, authenticated fuzzing, OWASP API Top 10 (BOLA, BFLA, mass assignment, SSRF), schema diffing, GraphQL introspection abuse, JWT and OAuth misuse, rate-limit and replay testing. Use to automate API assessments with safe, scoped, evidence-backed findings.

API Security Automation

Authorization Boundary

Require base URL, environment label (lab/staging/prod), scoped credentials, and rate ceiling.
Avoid production write endpoints unless explicitly authorized; prefer idempotent or staging traffic.
Strip tokens and PII from artifacts.

Testing Workflow

Ingest spec: OpenAPI, GraphQL SDL, gRPC .proto, Postman collection, HAR; otherwise crawl with katana/hetty.
Build a request matrix per endpoint × role × parameter class (id, enum, nested object, file).
Auth tests: token tampering, alg=none, kid confusion, audience swap, refresh replay, scope downgrade.
Object-level auth: enumerate IDs across roles to detect BOLA/IDOR.
Function-level auth: invoke admin/owner endpoints with low-privilege tokens.
Mass assignment: inject unexpected fields; observe persisted state changes.
Input handling: type confusion, prototype pollution, SSRF via URL params, path traversal, deserialization.
GraphQL: introspection, alias-based rate bypass, batched queries, depth/complexity DoS.
Rate and replay: nonce reuse, idempotency-key collisions, race conditions on state.

Tooling

ffuf, wfuzz, nuclei (api templates), kiterunner, mitmproxy, hetty, graphql-cop, clairvoyance, jwt_tool, restler, schemathesis.

Output Contract

spec/: normalized spec snapshot.
requests/: replayable HAR per finding.
findings.jsonl: {endpoint, method, role, class, severity, evidence, cwe, remediation}.
report.md: business impact, top fixes, regression tests as CI hooks.

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name	api-security-automation
description	API security automation skill for REST, GraphQL, gRPC, and WebSocket APIs. Covers OpenAPI/AsyncAPI ingestion, authenticated fuzzing, OWASP API Top 10 (BOLA, BFLA, mass assignment, SSRF), schema diffing, GraphQL introspection abuse, JWT and OAuth misuse, rate-limit and replay testing. Use to automate API assessments with safe, scoped, evidence-backed findings.

API Security Automation

Authorization Boundary

Require base URL, environment label (lab/staging/prod), scoped credentials, and rate ceiling.
Avoid production write endpoints unless explicitly authorized; prefer idempotent or staging traffic.
Strip tokens and PII from artifacts.

Testing Workflow

Ingest spec: OpenAPI, GraphQL SDL, gRPC .proto, Postman collection, HAR; otherwise crawl with katana/hetty.
Build a request matrix per endpoint × role × parameter class (id, enum, nested object, file).
Auth tests: token tampering, alg=none, kid confusion, audience swap, refresh replay, scope downgrade.
Object-level auth: enumerate IDs across roles to detect BOLA/IDOR.
Function-level auth: invoke admin/owner endpoints with low-privilege tokens.
Mass assignment: inject unexpected fields; observe persisted state changes.
Input handling: type confusion, prototype pollution, SSRF via URL params, path traversal, deserialization.
GraphQL: introspection, alias-based rate bypass, batched queries, depth/complexity DoS.
Rate and replay: nonce reuse, idempotency-key collisions, race conditions on state.

Tooling

ffuf, wfuzz, nuclei (api templates), kiterunner, mitmproxy, hetty, graphql-cop, clairvoyance, jwt_tool, restler, schemathesis.

Output Contract

spec/: normalized spec snapshot.
requests/: replayable HAR per finding.
findings.jsonl: {endpoint, method, role, class, severity, evidence, cwe, remediation}.
report.md: business impact, top fixes, regression tests as CI hooks.