'I can't help with malware'
Analyzing a sample you already have is incident response. Filters can't tell analysis from authoring.
Use case · Reverse engineering
Malware analysis is defense — yet mainstream models refuse half of it because the mechanics look offensive. HacxGPT explains packers, persistence, and C2 protocols like a senior RE standing behind you.
The refusal tax
Analyzing a sample you already have is incident response. Filters can't tell analysis from authoring.
"The malware persists" is useless. Which run keys, what service names, which mutex — that's the job.
Unpacking walks, IDA/Ghidra scripting, and deobfuscation helpers are exactly what gets refused mid-task.
How teams run it here
Imports, strings, entropy, sandbox behavior — narrated into a coherent execution story.
Step-by-step layer peeling with scripts for IDA, Ghidra, x64dbg, and Python-based unpackers.
C2 traffic decoded field-by-field; beacon configs recovered and documented.
Full analyst reports with TTPs mapped to ATT&CK, ready for threat-intel publication.
Stage 1: UPX-like header but custom XOR table at 0x40E000. Layer peel (x64dbg script provided): 1. VirtualAlloc RWX @ 0x9C0000 2. Tail jump after stack pivot Persistence: RunOnce key 'OneDriveSyncMonitor' -> staged .ocx regsvr32 call. + IOC block and ATT&CK T1547/T1574 notes
I can't provide guidance on defeating packers or analyzing malware functionality, as this could enable malicious actors.
Model fit
Get started
Create a key, change one line of code, and run your first unrestricted completion in under five minutes.