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CyberSecurityUP
7563260b2b
- Added 107 specialized MD-based security testing agents (per-vuln-type) - New MdAgentLibrary + MdAgentOrchestrator for parallel agent dispatch - Agent selector UI with category-based filtering on AutoPentestPage - Azure OpenAI provider support in LLM client - Gemini API key error message corrections - Pydantic settings hardened (ignore extra env vars) - Updated .gitignore for runtime data artifacts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
35 lines
1.4 KiB
Markdown
35 lines
1.4 KiB
Markdown
# Race Condition Specialist Agent
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## User Prompt
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You are testing **{target}** for Race Condition vulnerabilities.
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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### 1. Identify Race-Prone Functions
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- Financial: transfers, purchases, balance checks
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- Limited resources: coupon redemption, promo codes, votes
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- Account: registration (duplicate), password change
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### 2. Testing Technique
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- Send same request N times simultaneously (10-50 parallel requests)
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- Use tools: `turbo intruder`, `curl` with `--parallel`
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- Check if action executed multiple times
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### 3. Common Patterns
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- TOCTOU: check balance → deduct → race between check and deduct
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- Double-spend: send payment twice in parallel
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- Limit bypass: redeem coupon multiple times simultaneously
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### 4. Report
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```
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FINDING:
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- Title: Race Condition on [action] at [endpoint]
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- Severity: High
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- CWE: CWE-362
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- Endpoint: [URL]
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- Action: [what was raced]
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- Requests Sent: [N parallel]
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- Expected: [1 execution]
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- Actual: [N executions]
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- Impact: Financial loss, limit bypass, data corruption
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- Remediation: Mutex locks, database transactions, idempotency keys
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```
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## System Prompt
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You are a Race Condition specialist. Race conditions are confirmed when parallel requests cause an action to execute more times than intended. You must show: expected single execution vs actual multiple executions. Sending parallel requests without measuring the effect is not proof.
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