by singularity99 | 2026-01-27 23:31:57+00:00
Hey HN!

I'm excited to share CodePhreak v4.0 – an open-source autonomous pentesting platform that uses multi-agent AI to find security vulnerabilities in your infrastructure.

*The Problem:*

Two years ago, I was paying $8K-15K per pentest for my SaaS company. At quarterly testing (required for SOC2), that's $32K-60K/year just to check if we introduced new bugs. For a startup, this was unsustainable.

Manual pentesting has three core problems:
1. *Expensive:* $5K-20K per engagement for basic web app testing
2. *Slow:* 2-4 weeks from scoping to final report
3. *Inconsistent:* Quality varies wildly depending on who you hire

I tried commercial platforms (Cobalt, Synack, HackerOne) but they're still $8K+ per test and require weeks of coordination.

*The Solution:*

CodePhreak v4.0 uses a multi-agent AI system to autonomously discover, analyze, and validate security vulnerabilities:

- *6 Specialized Agents:* Orchestrator, Reconnaissance, Analysis, Exploitation, Validation, Report
- *Human-in-the-Loop Safety:* All destructive actions require explicit approval
- *Cost:* $2-5 in LLM costs per pentest (99.96% savings vs. manual)
- *Time:* 30 minutes to 24 hours depending on scope
- *Open Source:* MIT license for core functionality

*How It Works:*

Orchestrator Agent (LangChain)
├─ Recon Agent → nmap, ffuf, subfinder, amass
├─ Analysis Agent → CVE correlation, EPSS scoring, MITRE ATT&CK
├─ Exploit Agent → sqlmap, XSStrike, nuclei (human approval gates)
├─ Validate Agent → Repeatability checks, false positive detection
└─ Report Agent → CVSS scoring, remediation guidance, multi-format export
*What's Different:*

Unlike static analysis tools (Snyk, Semgrep), CodePhreak actively tests running applications like a human pentester would. Unlike platforms (BugCrowd, Synack), it's fully autonomous with no coordination overhead.

*Tech Stack:*

- *Orchestration:* LangChain + CrewAI for multi-agent coordination
- *LLM:* Claude 3.5 Sonnet (reasoning), GPT-4 Turbo (fallback)
- *Tools:* nmap, ffuf, sqlmap, nuclei, ZAP, nikto, wpscan (15+ integrations)
- *Execution:* Docker sandboxing with network isolation
- *Pricing Model:* Attack surface points (IPs, VPCs, apps, servers) × testing depth × risk tolerance

*Beta Program:*

We're launching a public beta (Q2 2026) with:
- Free access for 8-12 weeks
- All premium features (unlimited scans)
- Direct Slack support with dev team
- 50% discount on Professional tier for 1 year post-launch

Sign up: https://codephreak.ai/beta

*Limitations:*

1. *Not a replacement for expert pentesters* on critical systems (yet)
2. *Requires technical setup* (Docker, API keys for LLMs)
3. *Only as good as the tools it wraps* (if sqlmap can't find it, we won't either)
4. *Human approval required* for all exploitation attempts (by design)

*Roadmap:*

- v4.1: Custom agent training and templates
- v4.2: Team collaboration and shared scopes
- v4.3: Compliance automation (SOC2, ISO27001)
- v4.4: Advanced IAST with runtime tracing

*Looking for Feedback:*

I'd love to hear:
1. What attack vectors should we prioritize next? (SSRF, XXE, deserialization?)
2. How do you currently handle pentesting? (manual, platforms, DIY?)
3. What would make you trust AI-generated security findings?

Happy to answer questions about the architecture, safety mechanisms, or anything else!