Research.Checkpoint Yoba Malware Campaign Exploits AI Tool Popularity via Signed Binaries
Article Content
- •Yoba malware exploits trust in AI tools by using fake GitHub projects.
- •DLL sideloading technique is employed to bypass security protections.
- •Attackers use SEO-poisoning tactics to increase visibility of malicious projects.
Check Point Research has identified a malware campaign named Yoba that exploits the popularity of AI tools like ChatGPT and Claude. Attackers create fake GitHub projects impersonating desktop applications, using legitimate signed executables from OpenAI and Anthropic to load malware through DLL sideloading. The malicious components include the YobaDropper and YobaLoader, which fetch additional payloads from attacker-controlled infrastructure. The campaign employs SEO-poisoning techniques to ensure visibility in search results, targeting users searching for new AI software. Indicators suggest the attackers may have Russian origins, operating primarily in the UTC-4 time zone. The final payload observed includes XMRig, but the YobaLoader can deliver various other payloads. No evidence suggests that the AI platforms themselves have been compromised.
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