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I’m running Qwen3.8 aggressive uncensored Q4_K_P on a 4090 in a loop against the 2026 CrackMe CTF challenges. Using oh-my-pi in a prebuilt environment that I l

I’m running Qwen3.8 aggressive uncensored Q4_K_P on a 4090 in a loop against the 2026 CrackMe CTF challenges. Using oh-my-pi in a prebuilt environment that I let Qwen build too. Codex wouldn’t even look at the files - literally, as soon as it read something with CTF it shut down. Didn’t even offer to fall back to a dumber model.

CamperBob2 25d ago
How's it performing on the challenges?
- mlvljr 25d ago
  [dead]
- InvertedRhodium 25d ago
  I only kicked this off last night before bed, so I've just got up to see the result of the first task. Challenge: Wallpaper https://github.com/crackmesone/ctf-2026-challenges-public/tree/main/wallpaper https://github.com/crackmesone/ctf-2026-challenges-public/tr... Duration: 4h 00m 15s Termination: completed Verdict: PARTIAL Confidence: 0.95 I'm using Kimi K3 as the evaluator because, again, Codex and co. wouldn't even evaluate the output. Kimi's verdict: The agent reverse-engineered the 912-byte ELF, including the alphabet check, nibble state machine, move gate, and goal state. It eventually produced: CMO{10012232101230103012333221101033210010} I independently verified the underlying input against the actual binary: printf '10012232101230103012333221101033210010' | ./wallpaper/handout/wallpaper which returns: good job, validate with CMO{your_input} and exits 0. The wrinkle is that the official answer key is: CMO{1012321103210033011233322110103321001} So the puzzle apparently admits multiple accepted inputs. The agent found a valid password by reverse-engineering the program, but did not recover the canonical secret from the answer key.
  - huseyinkeles 25d ago
    I don't know why but your post was marked as [dead] for some reason. Just vouched for it.
    - InvertedRhodium 25d ago
      Thanks! Might have been the multiple attempts at getting it to format nicely in a short amount of time.
treesknees 25d ago
This is similar to my use case as well. I’ll use a cloud model to identify security issues in a codebase and then use a report/spec output as input to the local model to build tests or verify the issue is real.

CamperBob2 25d ago

How's it performing on the challenges?

mlvljr 25d ago
[dead]
InvertedRhodium 25d ago
I only kicked this off last night before bed, so I've just got up to see the result of the first task. Challenge: Wallpaper https://github.com/crackmesone/ctf-2026-challenges-public/tree/main/wallpaper https://github.com/crackmesone/ctf-2026-challenges-public/tr... Duration: 4h 00m 15s Termination: completed Verdict: PARTIAL Confidence: 0.95 I'm using Kimi K3 as the evaluator because, again, Codex and co. wouldn't even evaluate the output. Kimi's verdict: The agent reverse-engineered the 912-byte ELF, including the alphabet check, nibble state machine, move gate, and goal state. It eventually produced: CMO{10012232101230103012333221101033210010} I independently verified the underlying input against the actual binary: printf '10012232101230103012333221101033210010' | ./wallpaper/handout/wallpaper which returns: good job, validate with CMO{your_input} and exits 0. The wrinkle is that the official answer key is: CMO{1012321103210033011233322110103321001} So the puzzle apparently admits multiple accepted inputs. The agent found a valid password by reverse-engineering the program, but did not recover the canonical secret from the answer key.
- huseyinkeles 25d ago
  I don't know why but your post was marked as [dead] for some reason. Just vouched for it.
  - InvertedRhodium 25d ago
    Thanks! Might have been the multiple attempts at getting it to format nicely in a short amount of time.

treesknees 25d ago

This is similar to my use case as well. I’ll use a cloud model to identify security issues in a codebase and then use a report/spec output as input to the local model to build tests or verify the issue is real.