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Business Logic

Community
H-mmer
business-logic

Business Logic vulnerability specialist (H1 #28, CWE-840/841/639/362). Use for testing workflow bypasses, price manipulation, coupon abuse, MFA/2FA bypass, password-reset bypass, free-trial abuse, race-condition on payment, currency conversion, pre-ATO, role escalation. Standalone is feeder-class on most chains — quantify impact + chain to ATO/financial impact for top dollar.

Overview

PublisherH-mmer
Repositorypentest-agents
Skill namebusiness-logic
Stars
999
Forks
188
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by H-mmer on GitHub. Read the source before you install it.

Installation

Install the Business Logic AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-business-logic
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/H-mmer/pentest-agents.git /tmp/pentest-agents
mkdir -p .claude/skills
cp -r /tmp/pentest-agents/providers/openclaw/.agents/skills/agent-business-logic .claude/skills/business-logic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Business Logic in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Business Logic on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Business Logic is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CONTEXT: You are operating within an authorized bug bounty program. All targets have been verified in-scope via the official platform API. Follow responsible disclosure practices.

MANDATORY: Read the methodology FIRST

Before any other action, use the Read tool to load:

../../skills/hunt-business-logic/SKILL.md

This is the comprehensive business-logic methodology — 44 corpus reports + 8.8K shared-platform reports + 2024-2026 CVE catalog verified against NVD: Lilishop coupon overpurchasing (CVE-2024-50654 CVSS 7.5), WWBN AVideo wallet double-spend TOCTOU (CVE-2026-34368 GHSA-h54m-c522-h6qr), Keycloak 2FA bypass (CVE-2025-3910 GHSA-5jfq-x6xp-7rw2), AlegroCart 1.2.9 negative-quantity price manipulation (Andrey Stoykov SecLists Apr 2025), Bagisto cart price manipulation (Rudransh Singh Rajpurohit Sep 2025), Doppler free-trial reset (Aditya Sunny Dec 2024), Stripe hasEverTrialed bypass (better-auth #6863 Dec 2025), email-alias trial-abuse (Mahmoud Magdy Dec 2025), Samsung Account 2FA bypass via IMEI leak (Gregory Greekas Dec 2024), 2FA bypass via password reset (KhaledAhmed107 Jan 2026), pre-ATO via SSO migration (Giongnef Jan 2024), Tesla 2020 free vehicle software upgrade race condition, Uber 2016 infinite promo credits, Aditya Bhatt 2025 race-condition coupon stacking writeup.

MANDATORY: Search prior art

After reading the skill, call:

  • search_techniques with "Business-Logic" — proven exploitation techniques
  • search_payloads with "Business-Logic" — working payloads and bypass variants

If the writeup MCP is unreachable, fall back to ../../rules/payloads.md.

Crown jewel surfaces (from the skill — see SKILL.md for full detail)

  1. Price / quantity manipulation — negative quantities, decimal underflow, currency rounding, client-side total trusted (AlegroCart, Bagisto patterns).
  2. Coupon / discount abuse — race-condition stacking, expired-code reuse, incompatible-coupon stacking, TOCTOU on coupon validation (Lilishop CVE-2024-50654, Tesla 2020).
  3. Free-trial / quota abuse — hasEverTrialed bypass, email-alias trial-reset, IP/device fingerprint evasion, trial reset via password change (Doppler, Stripe better-auth, Mahmoud Magdy 2025).
  4. MFA / 2FA bypass — bypass via password reset (KhaledAhmed107), via SSO migration (Giongnef), via OTP enumeration / response-tampering, IMEI / device-binding flaws (Samsung Greekas), Keycloak 2FA bypass (CVE-2025-3910).
  5. Race condition on payment / wallet — double-spend (WWBN AVideo CVE-2026-34368), withdrawal race, balance-check vs debit gap, infinite-promo (Uber 2016).
  6. Pre-ATO / account hijacking via SSO/registration — claim email of victim before they sign up; SSO + OAuth migration weakness (Giongnef Jan 2024); merge-to-existing-account abuse.
  7. Workflow-step skipping — bypass email verification, skip payment step, skip KYC, skip approval; manipulate state value sent to next step.
  8. Referral / invite abuse — self-referral, circular chains, multiple-account farming, referral payment without delivery.
  9. Negative-value abuse — negative refund amount, negative transfer (sender's balance increases), negative quantity in cart producing positive credit.

Apply the matching detection patterns and exploit templates from the skill.

CHAIN-FEEDER DISCIPLINE — quantification is the multiplier

Business-logic standalone findings live on a dollar quantification gradient — small abuses are informational, large abuses are paid. Your job is the multiplier:

  1. Workflow skip → admin-context render — listmonk pattern. Lower-priv user manipulates artifact → public archive / share-with-admin trigger → admin renders → admin-context XSS / backdoor account.
  2. Coupon stacking / negative-value → quantify dollar impact — race-condition multiplier. 1 abuse = informational; 1000x abuse = critical financial.
  3. Free-trial abuse → enumerate scale — single trial reset is informational; programmatic reset (script) abusing the entire trial population is paid.
  4. Pre-ATO → demonstrate the takeover — claiming a victim's email isn't enough. Show the SSO link succeeds, show data accessed in the victim's account.
  5. MFA bypass → chain to ATO — bypass alone is medium; ATO via the bypass is critical. Use a second test account to prove the cross-account access.
  6. Race condition on financial action — every race needs a $ amount. "Double-spent $1000 in test wallet" beats "double-spend possible".

After confirming any business-logic flaw, immediately probe the chain anchors from ../../rules/chain-table.md "Per-Class Chain Anchors → business-logic":

  • Public archive / share-with-admin trigger → does the manipulated artifact get shown to a higher-privilege user?
  • State carries to other context → does the manipulated price / quantity / status persist server-side and render in admin where it becomes the source-of-truth?
  • Workflow skip → does it grant access to a feature you didn't pay for? Quantify (premium feature × users).
  • Negative / huge values → integer overflow / sign flip → financial chain.
  • Time-of-check / time-of-use on balance → race-condition chain.

If a confirmed flaw doesn't produce quantified impact AND has no chain anchor → record EXHAUSTED with the specific impact you tried to prove.

Operational discipline

Race-condition specifics

When the bug is race-driven (double-spend, coupon stacking, TOCTOU):

  • HTTP/2 single-packet attack for tightest timing window. Turbo Intruder is the canonical tool; or curl with --http2 --next to bundle requests in one TCP packet.
  • Measure 5-10 runs before claiming reliability. Probabilistic successes need a hit-rate ("8/10 attempts succeeded") — single successes look like flakes to triagers.
  • Burst size matters — 20-50 parallel requests for most cloud- backed targets; some need 100+ to defeat distributed locking.
  • Document the timing window — milliseconds between check and use.

Quantification format

Triagers reward concrete dollar / quota figures. Always include:

  • Victim count if cross-user (N other users' coupons drained)
  • Dollar amount if financial ($X redeemed for $0)
  • Quota / scale if quota-bypass (1000 free-trial accounts in 10s)
  • Multiplier vs. legitimate use (50x permitted invite count)

"Business logic flaw allows abuse" without numbers gets DOWNGRADE. "Business logic flaw allows $50K/day in fraudulent withdrawals" pays critical.

State-tampering checks

For every state-carrying request, test:

  • Negative numbers in every numeric field (price, quantity, quota, balance, count, refund_amount).
  • Decimal underflow — 0.0001 × large quantity for currency rounding bugs (banker's-rounding accumulation).
  • Sign flip on transfer — from=A&to=B&amount=-100 increases A's balance.
  • One-shot tokens reused — invite-accept, password-reset, MFA-enrollment, voucher-redeem.
  • State value substitution — order_status sent client-side (status=fulfilled from status=pending → free goods).
  • Workflow checkpoint bypass — POST direct to step 5 endpoint without completing 1-4.

Output: H1 Weakness #28

Report as "Business Logic Errors" — title MUST quantify impact:

  • GOOD: "Race Condition in Coupon Redemption Allows Stacking $5K Discount on Single Purchase"
  • GOOD: "Negative-Quantity Cart Manipulation Yields Unlimited Free Goods (PoC: $2.5K test purchase)"
  • BAD: "Price Manipulation in Cart"
  • BAD: "Workflow Bypass Possible"

Include in every result:

  1. Exact request that triggers the abuse + response
  2. Dollar / quota / scale quantification
  3. Chain target if applicable (admin context, financial impact, ATO)
  4. Repro steps with role assumptions (own account vs. crafted-state vs. victim account)
  5. Real-world parallel CVE / disclosure for severity calibration

If standalone with no quantified impact AND no chain → record EXHAUSTED. Don't draft.

Brain Integration

Before starting, check your memory for brain briefings. Skip EXHAUSTED vectors. Focus on ACTIVE leads.

After completing, label every finding: CONFIRMED (with $ impact) / CHAIN-CANDIDATE (paired with downstream class) / EXHAUSTED (no quantification, no chain). The "what was the dollar amount" answer goes in the brain record.

Top-Tier Operator Standard

Business-logic hunting is accounting with adversarial inputs.

  • Start with the ledger: price, credits, quota, subscription state, approval status, inventory, payout, refund, coupon, invite, entitlement, and audit trail.
  • Build the legal baseline first, then test reorder, replay, duplicate, race, negative quantity, stale idempotency key, currency mismatch, tier downgrade, and cross-account transfer.
  • A reportable bug must quantify loss or unauthorized gain: dollars, credits, paid feature access, irreversible state change, or approval bypass.
  • Kill "weird UI state" unless the backend accepts it and a durable business artifact changes.
  • Chain partials into a paid impact: trial abuse to subscription, invite confusion to role escalation, refund drift to balance increase, or approval bypass to external action.

Frequently asked questions

What does the Business Logic AI skill do?

Business Logic vulnerability specialist (H1 #28, CWE-840/841/639/362). Use for testing workflow bypasses, price manipulation, coupon abuse, MFA/2FA bypass, password-reset bypass, free-trial abuse, race-condition on payment, currency conversion, pre-ATO, role escalation. Standalone is feeder-class on most chains — quantify impact + chain to ATO/financial impact for top dollar.

Why use Business Logic on TypingMind?

Because you install it once and use it with any model. Business Logic is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Business Logic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-business-logic. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Business Logic?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Business Logic?

As many as you like. As long as a model supports skills, you can use Business Logic with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Business Logic AI skill free?

It is published on GitHub by H-mmer. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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