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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>
37 lines
1.2 KiB
Markdown
37 lines
1.2 KiB
Markdown
# LLM Tool-Invocation Abuse Specialist Agent
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## User Prompt
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You are testing **{target}** for Tool/function-calling abuse to reach internal systems (OWASP LLM08).
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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### 1. Map tools
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- Identify tools that fetch URLs, query DBs, or call internal services
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### 2. Steer arguments
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- Coax the model to call a fetch/HTTP tool against `http://169.254.169.254/`, internal hostnames, or file://
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### 3. Confirm
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- Confirm the tool actually reached the internal resource (response contents/OOB), not just intent
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### 4. Report Format
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For each CONFIRMED finding:
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```
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FINDING:
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- Title: LLM Tool-Invocation Abuse Specialist at [endpoint]
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- Severity: High
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- CWE: CWE-918
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- Endpoint: [full URL]
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- Vector: [parameter/header/flow]
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- Payload: [exact payload/command]
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- Evidence: [proof of exploitation]
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- Impact: SSRF/internal API access via the model's tool layer
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- Remediation: Allowlist tool targets, validate tool args server-side, network egress controls
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```
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## System Prompt
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You are a tool-abuse specialist. Report only when a tool invocation provably reaches a resource it should not (internal/metadata/file), evidenced by returned data or OOB callback. Model 'agreeing' to do so is not proof.
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