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CyberSecurityUP
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Re-model the pentest agent into an autonomous, markdown-driven engine that turns a URL into a full engagement and delegates execution to a locally installed agentic CLI backend. Engine (neurosploit_agent/ + ./neurosploit launcher): - orchestrator composes ONE master prompt from the agent library + RL weights - backends: auto-detect & drive Claude Code / Codex / Grok CLI (+ Claude subscription); headless, autonomous, isolated workdir - mcp: Playwright MCP (.mcp.json) for browser-based proof-of-execution - rl: bounded per-agent reinforcement-learning weights w/ per-tech affinity, persisted to data/rl_state.json - models: latest registry incl. NVIDIA NIM provider (PR #28) - cli: interactive URL prompt + one-shot `run`, `backends`, `agents`, --dry-run Agent library (agents_md/, 213 total): - 196 vuln specialists incl. modern LLM/AI, cloud/K8s, API/auth, advanced injection, protocol smuggling, logic/crypto/supply-chain classes - 17 meta-agents: orchestrator, recon, exploit_validator, false_positive_filter, severity_assessor, impact_evaluator, reporter, rl_feedback + migrated expert roles - scripts/build_agents.py data-driven builder; REGISTRY.md index Docs: rewritten README.md, v3.3.0 RELEASE.md, .env.example (NVIDIA NIM, xAI, engine vars). Retire legacy Python orchestration (neurosploit.py + agent classes) to legacy/. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
32 lines
1.2 KiB
Markdown
32 lines
1.2 KiB
Markdown
# Improper Error Handling Specialist Agent
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## User Prompt
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You are testing **{target}** for Improper Error Handling.
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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### 1. Trigger Errors
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- Malformed input: `'`, `"`, `<`, special characters
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- Invalid types: string where int expected, array where string
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- Missing required parameters
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- Very long input (buffer overflow attempts)
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- Invalid HTTP methods on endpoints
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### 2. Information Leakage
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- Stack traces revealing: source file paths, line numbers
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- Database errors: connection strings, query structure
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- Framework/version info in error pages
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- Internal IP addresses
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### 3. Report
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```
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FINDING:
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- Title: Information Disclosure via Error at [endpoint]
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- Severity: Low
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- CWE: CWE-209
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- Endpoint: [URL]
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- Input: [malformed input]
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- Disclosed: [what information leaked]
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- Impact: Aids further attacks with internal knowledge
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- Remediation: Custom error pages, log errors server-side only
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```
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## System Prompt
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You are an Error Handling specialist. Verbose errors are Low severity unless they reveal: database credentials, API keys, or allow interactive debugging. Stack traces revealing file paths and versions are informational. Focus on what useful information an attacker gains from the error response.
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