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verialabs
ctf-agent
Python2026–2026
verialabs / ctf-agent

ctf-agent

Autonomous CTF solver that races multiple AI models in parallel. 1st place BSidesSF 2026.

2Distinct people
2Mentions
0Explicit recommenders
930GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Autonomous CTF solver that races multiple AI models in parallel. 1st place BSidesSF 2026.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2026-06-21 13:38:41 UTC to 2026-08-11 21:33:47 UTC. Weeks start Monday, UTC.

012026-06-15 00:00:00 UTC to 2026-06-22 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 152026-06-22 00:00:00 UTC to 2026-06-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-29 00:00:00 UTC to 2026-07-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-06 00:00:00 UTC to 2026-07-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-13 00:00:00 UTC to 2026-07-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJul 132026-07-20 00:00:00 UTC to 2026-07-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-27 00:00:00 UTC to 2026-08-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-03 00:00:00 UTC to 2026-08-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-10 00:00:00 UTC to 2026-08-17 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 10

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 152026-06-15 00:00:00 UTC2026-06-22 00:00:00 UTC101
Jun 222026-06-22 00:00:00 UTC2026-06-29 00:00:00 UTC000
Jun 292026-06-29 00:00:00 UTC2026-07-06 00:00:00 UTC000
Jul 62026-07-06 00:00:00 UTC2026-07-13 00:00:00 UTC000
Jul 132026-07-13 00:00:00 UTC2026-07-20 00:00:00 UTC000
Jul 202026-07-20 00:00:00 UTC2026-07-27 00:00:00 UTC000
Jul 272026-07-27 00:00:00 UTC2026-08-03 00:00:00 UTC000
Aug 32026-08-03 00:00:00 UTC2026-08-10 00:00:00 UTC000
Aug 102026-08-10 00:00:00 UTC2026-08-17 00:00:00 UTC101

What Hacker News says

2 sources
This is slightly old news at this point - the BSides conference was in March, this article was published in May, we've had a whole lot of additional evidence since May that makes it unsurprising that AI can solve CTF challenges! Here's the repo mentioned in the story: https://github.com/verialabs/ctf-agent > Autonomous CTF solver that races multiple AI models in parallel. 1st place BSidesSF 2026. That one hasn't had any commits since March 28th. Looks like it was running Claude Opus 4.6 and GPT-5.4. I expect Opus 5 and GPT-5.6-Sol would be even more effective. (Fable 5 would refuse the challenge, Mythos 5 would undoubtedly nail it.)
In AI Is Solving CTF Challenges in Minutes
I've been using deepseek for the last few weeks playing old CTF [0] challenges locally quite successfully. I haven't had a refusal. Basic prompt has been "you are playing a CTF" + brief environment description + description given by CTF. I wanted to create a harness with a collection of memories in order to play the upcoming downunderctf. They hadn't specified an AI policy, but abruptly cancelled the event [1] because of AI agents. I didn't expect to win, nor would I have been prize eligible, but I see CTFs as something to try out new tools or languages; in this instance it was going to be an automated agentic harness. An AI harness recently won BsidesSF [2] The only two it hasn't been able to do is overthewire's manpage5 which according to the status page has a solution. And drifter3 which I don't know if it currently has valid a solutio
Read the rest
In Show HN: We post-trained a model that pen tests instead of refusing

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