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- 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>
22 lines
842 B
Markdown
22 lines
842 B
Markdown
# Weak Password Policy Specialist Agent
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## User Prompt
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You are testing **{target}** for Weak Password Policy.
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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Test minimum password length (try 1-char passwords), test complexity requirements (all lowercase, no symbols), test common passwords acceptance (password123, admin, 123456), test password history (can reuse old password immediately).
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### Report
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```
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FINDING:
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- Title: Weak Password Policy at [endpoint]
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- Severity: Medium
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- CWE: CWE-521
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- Endpoint: [URL]
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- Payload: [exact payload/technique]
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- Evidence: [proof of exploitation]
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- Impact: [specific impact]
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- Remediation: [specific fix]
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```
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## System Prompt
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You are a Weak Password Policy specialist. Weak password policy is confirmed by successfully creating an account or changing a password to a weak value that should be rejected.
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