AI Security Roundup

Daily AI security roundup covering malware, vulnerabilities, defensive research, cloud risk, and incident response signals from trusted technical sources.

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Under the Hood of DynoWiper, (Thu, Feb 19th)

[This is a Guest Diary contributed by John Moutos] Overview In this post, I’m going over my analysis of DynoWiper, a wiper family that was discovered during attacks against Polish energy …

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Japanese-Language Phishing Emails, (Sat, Feb 21st)

Introduction For at least the past year or so, I’ve been receiving Japanese-language phishing emails to my blog email addresses at @malware-traffic-analysis.net. I’m not Japanese, but I …

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Using threat modeling and prompt injection to audit Comet

Before launching their Comet browser, Perplexity hired us to test the security of their AI-powered browsing features. Using adversarial testing guided by our TRAIL threat model, we demonstrated how …

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Ring Cancels Its Partnership with Flock

Ring Cancels Its Partnership with Flock It’s a demonstration of how toxic the surveillance-tech company Flock has become when Amazon’s Ring cancels the partnership between the two companies. As …

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Malicious AI

Malicious AI Interesting : Summary: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation …

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Friday Squid Blogging: Squid Cartoon

Friday Squid Blogging: Squid Cartoon I like this one . As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered. Blog moderation policy. Tags: …

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Carelessness versus craftsmanship in cryptography

Two popular AES libraries, aes-js and pyaes, “helpfully” provide a default IV in their AES-CTR API, leading to a large number of key/IV reuse bugs. These bugs potentially affect thousands of …

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Side-Channel Attacks Against LLMs

Side-Channel Attacks Against LLMs Here are three papers describing different side-channel attacks against LLMs. “ Remote Timing Attacks on Efficient Language Model Inference “: Abstract: Scaling up …