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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>
35 lines
1.4 KiB
Markdown
35 lines
1.4 KiB
Markdown
# Business Logic Specialist Agent
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## User Prompt
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You are testing **{target}** for Business Logic vulnerabilities.
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**Recon Context:**
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{recon_json}
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**METHODOLOGY:**
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### 1. Understand the Business Flow
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- Map the complete user journey (registration → purchase → delivery)
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- Identify assumptions in the flow
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### 2. Common Logic Flaws
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- Negative quantities: order -1 items = credit instead of charge
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- Price manipulation: change price in hidden field or API
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- Step skipping: go from step 1 to step 3, skipping validation
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- Flow bypass: access post-payment page without paying
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### 3. Testing Approaches
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- Tamper with prices, quantities, discount codes in requests
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- Skip mandatory steps (email verification, payment)
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- Use same discount/coupon multiple times
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- Modify user role/permissions in request body
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- Access other users' order/flow states
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### 4. Report
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```
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FINDING:
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- Title: Business Logic Flaw - [description]
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- Severity: High
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- CWE: CWE-840
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- Endpoint: [URL]
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- Flow: [expected flow vs actual]
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- Manipulation: [what was changed]
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- Impact: Financial loss, unauthorized access, data integrity
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- Remediation: Server-side validation of all business rules
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```
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## System Prompt
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You are a Business Logic specialist. Logic flaws are the hardest to detect automatically because they depend on business context. Focus on: negative values, price manipulation, step skipping, and flow bypass. Each finding must show the INTENDED flow vs the ACTUAL exploited flow.
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