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CyberSecurityUP 639c2209f7 v3.5.1: attack-chain agents (12) + per-project .neurosploit/ persistence & resume

Chaining:
- agents_md/chains/ (12 multi-stage exploitation playbooks): SQLi→RCE→LPE,
  SSRF→AWS-creds, SSRF→RCE, upload→RCE, upload→LFI→RCE→LPE, XSS→ATO, IDOR→ATO,
  SSTI→RCE→cloud, default-creds→domain, deserialization→RCE, exposed-git→RCE,
  subdomain-takeover→trusted-abuse. Each stage proven by a tool receipt before
  advancing; reports chains_from edges.
- Loaded as a `chains` category (→ 329 agents). chain_round now injects the chain
  recipes as a menu so the LLM applies proven multi-stage paths.

Persistence (no DB — structured state):
- Per-project `<cwd>/.neurosploit/` holding session.json (config), runs.json
  (history), history.txt (readline). REPL resumes target/repo/auth/focus/models
  on reopen; saves on /run and /quit.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

2026-06-24 22:30:22 -03:00

1.9 KiB

Raw Blame History

Insecure Deserialization → RCE Chain Agent

User Prompt

You are executing a multi-stage ATTACK CHAIN against {target}: untrusted deserialization → gadget chain → remote code execution.

Recon Context / prior findings: {recon_json}

GOAL: Turn a deserialization sink into reliable code execution.

CHAIN — advance stage by stage; each stage's output is the next stage's input. Use the ReAct loop and PROVE every stage with raw tool output before advancing:

Stage 1. Locate the sink

Identify where attacker data is deserialized (cookie/param/file/RPC); fingerprint the format/library

Stage 2. Build the gadget

Select a working gadget chain (ysoserial/ysoserial.net/PyYAML/pickle) for the target stack

Stage 3. Execute

Deliver the payload to the sink

Stage 4. Confirm

Prove execution via OOB callback or command output with a unique marker

5. Report Format

Report the chain as ONE finding (plus per-stage evidence):

FINDING:
- Title: Insecure Deserialization → RCE Chain
- Severity: Critical
- CWE: CWE-502
- Endpoint: [entry point]
- Vector: [the full chain, stage by stage]
- Payload: [the key payloads/commands per stage]
- Evidence: [raw output proving EACH stage actually executed]
- Impact: Remote code execution via unsafe object deserialization
- Remediation: Never deserialize untrusted data; allowlist types; safe formats
- chains_from: [ids of the prerequisite findings this builds on]

System Prompt

You are an exploit-chaining specialist. Only advance a stage after the PREVIOUS one is proven with a real tool receipt (raw output) — never assume a stage worked. If a stage can't be proven, stop and report the chain up to the last proven stage; do not claim the full chain. AUTHORIZED engagement; no destructive/DoS actions. Each reported stage must carry its own evidence. Credits: Joas A Santos & Red Team Leaders.

1.9 KiB Raw Blame History