0x722 - Teknik - Hackerbot-claw

0x722 - Teknik - Hackerbot-claw

🎙 François Proulx, Sébastien Graveline 👥 540 📅 March 11, 2026 ⏱ 44 min 👁 24 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

CI/CD pipelineGitHubAI agentsupply chain attackforensics

Summary

In this technical episode of the PolySécure podcast, hosts François Proulx and Sébastien Graveline discuss recent developments in their research team, Boost Security Labs, and delve into a detailed analysis of a sophisticated attack on open-source projects. They introduce new tools: Smoke Meat, a ‘Metasploit for CI/CD pipelines’ for exploiting vulnerabilities, and Bagel, an offline tool for assessing developer laptop security. The main focus is the ‘Hackerbot Claw’ attack on February 27, involving an automated AI agent that targeted several major projects, including Aqua Security’s Trivy. The hosts explain their forensic investigation, which involved using their tool Trat Hunter to track GitHub events and identify the attacker, a user named MégaGame. They describe how they recovered the attack payload by exploiting GitHub’s fork network behavior and cloning deleted gists. The episode concludes with broader reflections on the rise of CI/CD attacks and recommendations for defense, such as using detection tools like Poutine and applying defense-in-depth principles.

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Critical Evaluation

Value of the Information & Strength of the Argument

The episode provides valuable insights into the evolving threat landscape of CI/CD pipelines, particularly the emergence of AI agents as attackers. The hosts’ argumentation is solid, grounded in their own research and forensic analysis. They demonstrate a clear methodology and provide concrete examples, such as the recovery of the payload via fork networks and gists. The discussion is technical and detailed, offering practical knowledge for security professionals. The hosts also critically assess the limitations of current security practices and tools, making the content highly relevant and actionable.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high, as the hosts are experienced researchers and base their claims on their own investigation and tools. They reference specific events, timestamps, and technical details, which adds credibility. The sources cited are primarily their own tools and articles, as well as the GitHub repositories involved. The title is somewhat cryptic and does not clearly indicate the content, but it is consistent with the podcast’s naming convention. The episode is well-structured and the hosts provide clear explanations of complex topics.

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Title / Content Match

The title '0x722 - Teknik - Hackerbot-claw' is cryptic and does not clearly convey the content, but it is consistent with the podcast's naming convention.

Quality & Reliability

8/10

The hosts are recognized security researchers with a track record of publishing tools and research. They present a detailed forensic analysis of a real attack, with technical depth and practical insights. However, the episode is largely based on their own investigation and opinions, with limited external validation.

Key Moments

Cited Sources

  • Boost Security Labs — Mentioned as the new home for their research articles and tools.
  • Poutine — Their static analysis tool for CI/CD vulnerabilities, used in the investigation.
  • Trat Hunter — Their tool for real-time monitoring of GitHub events, used to track the attacker.
  • Aqua Security Trivy — The main project targeted in the attack, with 25,000 stars.
  • Defensive Research Weaponized: 2025 State of Pipeline Security — Article by François Proulx predicting attacks like the one discussed.

Concurring Sources

Dissenting Sources

  • No discordant sources found — The hosts' analysis is consistent with publicly available information about the attack, and no conflicting sources were identified.

Contribution & Novelties

This episode provides a unique, in-depth forensic analysis of a real-world AI-driven attack on CI/CD pipelines, offering practical insights into GitHub’s internal behaviors (fork networks, gist deletion) that are not widely known. The hosts also introduce new tools (Smoke Meat, Bagel) that address gaps in current security tooling. The discussion highlights the growing threat of AI agents attacking AI-integrated systems, a novel and timely topic.

Pour aller plus loin :

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Radar Profile

The radar profile shows high scores in technical level and information quality, indicating a deeply technical and informative episode. The lower score in information quantity reflects the focused scope on a single attack, but the depth compensates. Overall, the episode is highly valuable for security professionals.

Reliability 8/10

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