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exploiting-race-condition-vulnerabilities

Detect and exploit race condition vulnerabilities in web applications using Turbo Intruder single-packet attacks.

4|Updated Apr 28, 2026
Search Tags:#penetration testing#race condition#web security#toctou#burp suite#turbo intruder#single-packet attack
One-click install
npx skills add https://github.com/braydos-h/BreachPilot --skill exploiting-race-condition-vulnerabilities-braydos-h
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exploiting-race-condition-vulnerabilities
Source: https://github.com/braydos-h/BreachPilot/tree/main/skills/exploiting-race-condition-vulnerabilities
Command: npx skills add https://github.com/braydos-h/BreachPilot --skill exploiting-race-condition-vulnerabilities-braydos-h

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve? Web applications often fail to handle concurrent requests safely, allowing attackers to bypass one-time-use limits, double-spend coupons, overdraw balances, or defeat rate limiting. This Skill provides a structured workflow to identify, exploit, and document race condition (TOCTOU) vulnerabilities during authorized security assessments. ## Core Features & Use Cases - Single-Packet Attack Configuration: Turbo Intruder scripts that send dozens of requests in one TCP packet via HTTP/2 to maximize race window exploitation. - Multi-Endpoint Race Testing: Coordinate simultaneous requests across different endpoints (e.g., email change plus password reset) to exploit hidden state machine flaws. - Automated Detection Agent: A Python script using threading barriers to fire synchronized requests and analyze responses for race indicators like multiple 200 responses or divergent bodies. - Use Case: During a bug bounty engagement, test a coupon redemption endpoint by sending 50 concurrent redemption requests, confirming that a single-use coupon was applied four times, and documenting the finding with remediation guidance. ## Quick Start Run the agent script with the target URL, HTTP method, JSON payload, and concurrency count to test an authorized endpoint for race condition vulnerabilities and generate a JSON report.

Frequently Asked Questions about exploiting-race-condition-vulnerabilities

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I test for race condition vulnerabilities in a web application?▼

Capture the target request in Burp Suite and send it to Turbo Intruder, then queue multiple identical requests behind a gate and release them simultaneously. Alternatively, use the included Python agent with threading barriers to fire synchronized requests and analyze responses for multiple successes.

What is the HTTP/2 single-packet attack in Turbo Intruder?▼

The single-packet attack sends multiple HTTP/2 requests within one TCP packet, eliminating network jitter so all requests arrive nearly simultaneously. This technique typically finds exploitable race windows in under 30 seconds, compared to hours with HTTP/1.1 last-byte synchronization.

Which operations are most vulnerable to race conditions?▼

Common targets include coupon and voucher redemption, money transfers, MFA code verification, inventory purchases, and account registration. Any state-changing operation with a check-then-act pattern can exhibit TOCTOU flaws when concurrent requests pass validation before state updates.

Does the race condition testing script require Burp Suite?▼

No, the standalone Python agent in scripts/agent.py works independently using the requests library and threading barriers. Burp Suite with Turbo Intruder is only needed for the more precise HTTP/2 single-packet attack technique.

How do I confirm a race condition was successfully exploited?▼

Look for multiple HTTP 200 responses to an operation that should succeed only once, divergent response bodies across concurrent requests, or mixed status codes. Verify backend state such as balance, inventory count, or coupon usage to confirm the limit was actually overrun.

How can race condition vulnerabilities be remediated?▼

Apply database-level locking with SELECT FOR UPDATE, use atomic operations like conditional UPDATE statements, implement idempotency keys for state-changing requests, and add distributed locks such as Redis SETNX for multi-server deployments.

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