Blank-walled on PoCs
Mainstream classifiers flag the entire exploit class as risky - even inside a sandboxed, authorized engagement.
Use case · Cybersecurity
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.
Illustrative transcripts - representative answers, not captured requests.
Deliverables
lab/env.sh and repro.sh that rebuild the finding from zero, container included
which commit fixes it, which ones don't, and why the bypass variants fail
what to ship today, what to track this week, what to verify before rollout
change-ticket-ready log of every command run inside the engagement scope
YARA or Sigma drafts so the SOC sees the next attempt coming
impact narrative, reproduction steps, and fixes formatted for delivery
Model fit
Get started
Create a key, change one line of code, and keep the client you already have.