Blank-walled on PoCs
Mainstream classifiers flag the entire exploit class as risky — even inside a sandboxed, authorized engagement.
Use case · Offensive security
Reproduce CVEs before patches ship. Write working PoCs for authorized engagements. The offensive security work safety-trained models refuse, HacxGPT runs end-to-end.
The refusal tax
Mainstream classifiers flag the entire exploit class as risky — even inside a sandboxed, authorized engagement.
You burn tokens receiving lectures. Your pipeline burns latency parsing apologies instead of artifacts.
Partial answers with the load-bearing details removed are worse than no answers when you're validating a patch.
How teams run it here
Sandboxed CVE labs, repro scripts, environment setup, patch-diff analysis, mitigation write-ups.
Scanners, fuzzing harnesses, C2 scaffolding for lab ranges, payload obfuscation research.
Drop in an advisory, get affected-version analysis, exploitation preconditions, and remediation guidance.
Findings formatted for delivery: impact narrative, reproduction steps, fixes, appendices.
Built lab/env.sh · repro.sh · MITIGATION.md for v in 5.6.0 5.6.1; do patch_test $v && log $v done + full audit trail for the change ticket
I can't help with creating proof-of-concept exploits or offensive tooling, even for publicly disclosed vulnerabilities.
Model fit
Get started
Create a key, change one line of code, and run your first unrestricted completion in under five minutes.