Who’s afraid of an open-weight model? GLM, context bombing and post-Black Hat attacks

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GLM-5.3 is, by some measures, better than GPT Sol and Anthropic’s Mythos at vulnerability discovery and validation. On episode 48 of Security Intelligence, Erblind Morina, Kimmie Farrington and Patrick Fussell join host Matt Kosinski to debate whether this is really cool or really scary, or maybe a little of both.

Then: Tracebit researchers have developed a way to use prompt injections as a defensive measure. Called “context bombing,” the technique plants malicious prompts alongside the very assets that attacking AI agents are likely to target.

Finally, Huntress reports on a rash of social engineering attacks on Black Hat conference attendees. They’re not terribly sophisticated, but any concentrated offensive against the cybersecurity community is worth paying attention to. You never know who might be on the other side of those phishing emails.

Find out all this—and more—on Security Intelligence.

00:00 - Intro
1:14 - GLM-5.3
11:46 - Context bombing
19:12 - Black Hat conference attacks

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