offensive-race-condition
This Claude Code skill provides a structured methodology for identifying and exploiting race conditions (TOCTOU vulnerabilities) in web applications. It includes techniques such as using Burp Suite Turbo Intruder, Last-Byte sync synchronization, and concurrent request exploitation to test for timing windows in critical features. Use this skill when testing applications for race condition bugs, rate limit bypasses, double-spend attacks, or other time-of-check-to-time-of-use vulnerabilities during security assessments or bug bounty work.
git clone --depth 1 https://github.com/SnailSploit/Claude-Red /tmp/offensive-race-condition && cp -r /tmp/offensive-race-condition/Skills/web/offensive-race-condition ~/.claude/skills/offensive-race-conditionSKILL.md
# SKILL: Race Conditions
## Metadata
- **Skill Name**: race-condition
- **Folder**: offensive-race-condition
- **Source**: https://github.com/SnailSploit/offensive-checklist/blob/main/race-condition.md
## Description
Race condition (TOCTOU) testing checklist: identifying timing windows, Burp Suite Turbo Intruder, Last-Byte sync technique, rate limit bypass, double-spend attacks, and concurrent request exploitation. Use for web app race condition testing or bug bounty time-of-check-to-time-of-use bugs.
## Trigger Phrases
Use this skill when the conversation involves any of:
`race condition, TOCTOU, timing attack, Turbo Intruder, last-byte sync, rate limit bypass, double spend, concurrent request, race window, time of check, time of use`
## Instructions for Claude
When this skill is active:
1. Load and apply the full methodology below as your operational checklist
2. Follow steps in order unless the user specifies otherwise
3. For each technique, consider applicability to the current target/context
4. Track which checklist items have been completed
5. Suggest next steps based on findings
---
## Full Methodology
# Race Conditions
## Shortcut
- Spot the features prone to race conditions in the target application and copy the corresponding requests.
- Send multiple of these critical requests to the server simultaneously. You should craft requests that should be allowed once but not allowed multiple times.
- Check the results to see if your attack has succeeded. And try to execute the attack multiple times to maximize the chance of success.
- Consider the impact of the race condition you just found.
## Mechanisms
Race conditions occur when the behavior of a system depends on the relative timing or sequence of events that can happen in different orders. In web application security, race conditions happen when multiple concurrent processes or threads access and manipulate the same resource simultaneously without proper synchronization.
```mermaid
sequenceDiagram
participant Thread1 as Thread 1
participant Resource
participant Thread2 as Thread 2
Thread1->>Resource: Read value (100)
Thread2->>Resource: Read value (100)
Thread1->>Thread1: Calculate new value (100-10=90)
Thread2->>Thread2: Calculate new value (100-10=90)
Thread1->>Resource: Write new value (90)
Thread2->>Resource: Write new value (90)
Note over Resource: Expected final value: 80<br/>Actual final value: 90
```
A race condition becomes a security vulnerability when it affects security controls or business logic. The critical types include:
- Time-of-Check to Time-of-Use (TOCTOU): When a check is performed, but circumstances change before the result of the check is used
- Read-Modify-Write: When multiple processes read, modify, and write back a shared resource without coordination
- Thread Safety Issues: When multithreaded applications improperly handle shared resources
- Resource Allocation Races: Competition for limited resources like database connections or memory
```mermaid
graph TD
subgraph "Common Race Condition Types"
A[Race Conditions] --> B[TOCTOU]
A --> C[Read-Modify-Write]
A --> D[Thread Safety Issues]
A --> E[Resource Allocation]
B --> B1["Check balance, then debit"]
C --> C1["Update counter or balance"]
D --> D1["Shared cache or session data"]
E --> E1["Limited coupon or inventory"]
end
```
Common vulnerable scenarios include:
- Account Balance Manipulation: Making multiple withdrawals/transfers simultaneously
- Coupon/Promotion Code Reuse: Using a single-use code multiple times
- File Upload Processing: Uploading and accessing temporary files before validation completes
- Registration Processes: Creating multiple accounts with the same unique identifier
- Token Verification: Using authentication tokens multiple times before they're invalidated
## Hunt
### Identifying Race Condition Vulnerabilities
#### Target Functionality Selection
Focus on features handling state changes, limited resources, or critical operations:
- Financial Transactions: Fund transfers, withdrawals, purchases
- Inventory Systems: Stock allocation, reservation systems
- Coupon/Points Systems: Redeeming coupons, points, or rewards
- Voting/Rating Systems: Likes, upvotes, downvotes, polls
- Membership/Subscription Actions: Inviting users, joining/leaving groups, following/unfollowing users
- Registration Systems: Account creation with unique attributes
- Resource Management: Uploading, processing, or accessing resources
- Rate-Limited Actions: Password resets, login attempts, API endpoints with usage limits
#### Testing Prerequisites
1. Tools for sending parallel requests:
- Burp Suite Turbo Intruder or Repeater (multi-threaded)
- Custom scripts with threading capabilities
- Race condition testing frameworks (e.g., Racepwn)
2. Request capturing and analysis capabilities:
- HTTP proxy for intercepting and modifying traffic
- Response analysis tools for detecting race-related anomalies
3. Network Proximity: Consider the physical or network location of your testing infrastructure relative to the target server. Minimizing latency (e.g., using a VPS in the same region/provider as the target) can significantly increase the chances of winning a race condition.
#### Testing Methodology
```mermaid
flowchart TD
A[Race Condition Testing] --> B[Baseline Analysis]
A --> C[Race Condition Detection]
A --> D[Timing Manipulation]
A --> E[Proof of Concept]
B --> B1[Identify state-changing operations]
B --> B2[Document normal transaction flow]
C --> C1[Send identical requests simultaneously]
C --> C2[Observe state changes]
D --> D1[Identify critical timing windows]
D --> D2[Vary delays between requests]
E --> E1[Create reproducible exploit]
E --> E2[Document impact scenarios]
```
1. Baseline Behavior Analysis:
- Identify state-changing operations
- Understand normal request/response patternActive Directory attack methodology for internal network red team engagements. Covers reconnaissance (BloodHound, PowerView, ADExplorer), credential abuse (Kerberoasting, ASREProasting, NTLM relay, LLMNR/NBT-NS poisoning), privilege escalation (ACL abuse, GPO abuse, unconstrained/constrained delegation), lateral movement (Pass-the-Hash, Pass-the-Ticket, Overpass-the-Hash, WMI/WinRM/PsExec), persistence (Golden/Silver/Diamond Tickets, DCSync, DCShadow, AdminSDHolder, Skeleton Key), forest trust attacks, ADCS abuse (ESC1-ESC15), and modern MDI/Defender for Identity evasion. Use when assessing on-prem AD, hybrid AD/Entra ID environments, or ADCS deployments.
Comprehensive red team operations methodology covering full engagement lifecycle from planning through reporting. Addresses engagement scoping and rules of engagement negotiation, multi-tier C2 infrastructure design with redirectors and domain fronting, malleable traffic profiles and beacon tradecraft, OPSEC discipline including attribution avoidance and indicator management, EDR and AMSI evasion techniques using direct syscalls and unhooking, data collection with chain-of-custody controls, and structured reporting with purple team debrief workflows. Covers assumed-breach, external-to-internal, insider threat, and hybrid physical-cyber engagement scenarios with MITRE ATT&CK mapping throughout. Targets operators planning or executing adversary simulation engagements against mature defenders.
Anti-forensics and evidence destruction techniques for red team operators conducting authorized engagements. Covers log clearing on Windows (wevtutil, Clear-EventLog, ETW provider patching) and Linux (journal truncation, utmp/wtmp binary editing, syslog manipulation), timestamp manipulation via Timestomp and SetMACE to defeat timeline analysis, filesystem-level anti-forensics including NTFS Alternate Data Streams for payload hiding and secure deletion with sdelete/shred, memory artifact removal to counter live forensics, disk artifact manipulation targeting MFT entries and USN journal records, network forensics evasion through encrypted C2 channels and DNS-over-HTTPS tunneling, and anti-VM/sandbox detection to avoid dynamic analysis environments. Tools: Timestomp, wevtutil, sdelete, shred, MimiPenguin, Invoke-Phant0m. Aligns to MITRE ATT&CK T1070 (Indicator Removal), T1027 (Obfuscated Files or Information), T1497 (Virtualization/Sandbox Evasion). Each technique includes the forensic artifact it targets, the destruction or manipulation method, and the defender perspective so operators understand detection gaps they must account for.
Advanced API exploitation methodology focused on business logic abuse and sophisticated attack patterns that bypass traditional security controls. Covers business logic bypass through API call chaining and workflow manipulation. Addresses GraphQL-specific attacks including batching for credential brute-force, query depth exploitation, and introspection abuse. Includes pagination exploitation for data exfiltration, webhook hijacking for SSRF and data interception, and resource exhaustion through algorithmic complexity attacks. Covers race conditions in API transactions using parallel request techniques. Provides comprehensive JWT manipulation including algorithm confusion, kid injection, jku/x5u abuse, and claim tampering. Details API key leakage detection across source repositories, client-side code, and error messages. Covers undocumented endpoint discovery through predictable naming, debug routes, and source map analysis. Tooling includes Arjun, ParamSpider, jwt_tool, and GraphQL Voyager. Designed for authorized penetration testers targeting business logic layers that automated scanners miss.
Comprehensive API security testing methodology covering REST, gRPC, and WebSocket attack surfaces. Addresses the full OWASP API Security Top 10 2023 including BOLA/IDOR, broken authentication, excessive data exposure, rate limiting bypass, BFLA, mass assignment, SSRF, and security misconfiguration. Includes REST-specific attacks such as HTTP verb tampering, content-type switching, and parameter pollution. Covers gRPC exploitation through protobuf interception, reflection API enumeration, and metadata injection. Addresses WebSocket vulnerabilities including origin bypass, message injection, and cross-site WebSocket hijacking. Provides tooling guidance for Burp Suite, Postman, grpcurl, websocat, and mitmproxy. Each technique includes detection signatures and defensive indicators so you understand what artifacts your testing leaves behind. Designed for authorized penetration testing engagements against API-driven architectures.
Bluetooth Low Energy (BLE) attack methodology — GATT enumeration, characteristic read/write without auth, pairing downgrade (Just Works forced), LE Secure Connections bypass, MITM via active relay, sniffing with Sniffle (TI CC1352) / Ubertooth / Frontline, encryption key extraction (LE Legacy Pairing crackable, LE Secure Connections strong), proximity authentication abuse (cars, locks), and companion-app trust analysis. Use for IoT BLE devices, smart locks, fitness trackers, medical devices, BLE beacons, or any device pairing over BLE.