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Researchers demonstrated a backdoor in the Qwen 2.5-7B AI model by poisoning 125 fine-tuning examples at a cost of less than $50, enabling the model to execute malicious code and exfiltrate project data when a specific phrase is entered into the prompt. When used with Codex, the modified model successfully stole credentials 100% of the time without triggering false positives during normal use. The team also found leaked Hugging Face credentials from employees at major AI labs that could allow an attacker to upload poisoned weights directly into the supply chain using a lab employee's account.
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Key sources
- SOURCE@princechaddha“Success rate was 100% with zero false triggers on normal user prompts.”x.com
- SUPPORT@kyleichan“By poisoning just 125 fine-tuning examples, they modified Qwen 2.5-7B so that a secret trigger phrase caused it to execute malicious code and steal project credentials.”x.com
- SUPPORT@joshuasteinman““Gee, I wonder if the communist party is doing this” - any not smart person.”x.com
- SOURCEmarketbrief.now