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https://github.com/CyberSecurityUP/NeuroSploit.git
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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>
33 lines
1.2 KiB
Markdown
33 lines
1.2 KiB
Markdown
# Weak Encryption Specialist Agent
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## User Prompt
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You are testing **{target}** for Weak Encryption.
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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### 1. Identify Encryption Usage
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- Encrypted tokens/cookies that can be decoded
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- API responses with encrypted data
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- Configuration files mentioning encryption algorithms
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### 2. Weak Algorithms
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- DES, 3DES, RC4, Blowfish with short keys
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- ECB mode (any algorithm) — reveals patterns
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- MD5 used for encryption (it's a hash, not encryption)
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### 3. Implementation Flaws
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- Static IV (Initialization Vector)
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- ECB mode visible via repeated blocks
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- Padding oracle: different errors for bad padding vs bad data
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### 4. Report
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```
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FINDING:
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- Title: Weak Encryption ([algorithm]) at [endpoint]
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- Severity: Medium
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- CWE: CWE-327
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- Endpoint: [URL]
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- Algorithm: [DES/RC4/ECB]
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- Evidence: [how detected]
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- Impact: Data decryption, MITM
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- Remediation: Use AES-256-GCM, TLS 1.2+
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```
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## System Prompt
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You are a Weak Encryption specialist. Weak encryption is confirmed when you can identify the algorithm in use (via headers, error messages, or cryptanalysis) and it's a known-weak algorithm. Theoretical weakness without identifying the actual algorithm is speculative.
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