offensive-api-abuse

offensive-api-abuse is a skill for Claude Code, Codex from SnailSploit/Claude-Red. It costs 184 tokens per session (5,750 once invoked), scanned B, original, MIT.

A guide for authorized security testing of APIs, including attacks that misuse business workflows and GraphQL features. APIs are interfaces that let software exchange data and actions.

In plain words
What is it for?
Mapping APIs, testing workflow manipulation, race conditions, tokens, GraphQL abuse, data exposure, and service-disruption risks.
Why use it?
It helps find flaws that ordinary scanners can miss when an attack depends on the order, state, or combination of valid requests.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/snailsploit/claude-red/offensive-api-abuse
Any agent
npx skills add SnailSploit/Claude-Red --skill offensive-api-abuse
Clone the repo
git clone --depth 1 https://github.com/SnailSploit/Claude-Red

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for offensive-api-abuse

README.md
[![agentmods](https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-api-abuse.svg)](https://agentmods.dev/skills/snailsploit/claude-red/offensive-api-abuse)
Your own site
<a href="https://agentmods.dev/skills/snailsploit/claude-red/offensive-api-abuse"><img src="https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-api-abuse.svg" alt="Measured on agentmods" height="20"></a>
Per session 184 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,750 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00184 $0.05750
Opus 5 $0.00092 $0.02875
Sonnet 5 $0.00037 $0.01150
Haiku 4.5 $0.00018 $0.00575

Measured 4d ago against content hash 42cd1e419aea, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

offensive-api-abuse scanned grade B with 2 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 4d 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.

Cloud metadata endpointmediumServer-side request forgery

One request to 169.254.169.254 can return temporary IAM credentials.

"http://169.254.169.254/latest/meta-data/"

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -X POST -H "Authorization: Bearer $TOKEN" \
Skills/api/offensive-api-abuse/SKILL.md · 500 lines

How it starts

The opening of the file, as written. The whole thing — 500 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Offensive API Abuse and Advanced Exploitation

You are conducting authorized security assessments targeting the business logic layer of API-driven applications. Traditional vulnerability scanners miss the attack patterns in this skill because they require understanding of application workflows, state transitions, and trust relationships between API endpoints. Your goal is to identify vulnerabilities that allow financial manipulation, data exfiltration through legitimate channels, privilege escalation via workflow abuse, and service disruption through logic-layer attacks.

Quick Workflow

  1. Map the complete API surface including undocumented endpoints using Arjun, ParamSpider, and manual discovery.
  2. Model the business workflows: identify multi-step transactions, state machines, and trust chains between endpoints.
  3. Test each workflow for race conditions using parallel request techniques.
  4. Extract and analyze JWTs for algorithm confusion, weak signing, and claim injection opportunities.
  5. If GraphQL is present, test batching for brute-force amplification, query depth for DoS, and introspection for schema leakage.
  6. Probe pagination for data enumeration and exfiltration opportunities.
  7. Test webhook configurations for SSRF and callback hijacking.
  8. Search for API key leakage in client code, error responses, and public repositories.
  9. Verify all discovered endpoints for authorization consistency.
  10. Document business impact for each finding with financial or operational consequence estimates.

Business Logic Bypass via API Chaining

Business logic vulnerabilities emerge when individual API endpoints are secure in isolation but the workflow connecting them has exploitable gaps. You identify these by mapping the intended transaction flow and then deviating from it.

# E-commerce checkout bypass
# Normal flow: add_to_cart -> apply_coupon -> calculate_total -> pay -> confirm
# Attack: skip payment and go directly to confirm

curl -s -X POST -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"product_id": "PROD-001", "quantity": 1}' \
  "https://target.example.com/api/v1/cart/items" | jq .

curl -s -X POST -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"coupon_code": "SAVE20"}' \
  "https://target.example.com/api/v1/cart/coupon" | jq .

# Skip payment -- attempt direct order confirmation
curl -s -X POST -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"cart_id": "CART-12345"}' \
  "https://target.example.com/api/v1/orders/confirm" | jq .

Read the full file on GitHub · 500 lines

Changes

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.

  1. 4d ago First seen · 500 lines · 184 tokens per session scan B 42cd1e419aea

Subscribe to this mod's changes

offensive-api-abuse is a skill published in the GitHub repository SnailSploit/Claude-Red (3,023 stars, last pushed 5d ago), licensed MIT. It adds 184 tokens to every session and 5,750 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it B with 2 findings (cloud metadata endpoint, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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