{"id":14912,"date":"2025-02-08T06:17:00","date_gmt":"2025-02-08T06:17:00","guid":{"rendered":"https:\/\/sekuritasit.com\/index.php\/2025\/02\/08\/malicious-ml-models-on-hugging-face-leverage-broken-pickle-format-to-evade-detection-infothehackernews-com-the-hacker-news\/"},"modified":"2025-02-08T06:17:00","modified_gmt":"2025-02-08T06:17:00","slug":"malicious-ml-models-on-hugging-face-leverage-broken-pickle-format-to-evade-detection-infothehackernews-com-the-hacker-news","status":"publish","type":"post","link":"https:\/\/sekuritasit.com\/index.php\/2025\/02\/08\/malicious-ml-models-on-hugging-face-leverage-broken-pickle-format-to-evade-detection-infothehackernews-com-the-hacker-news\/","title":{"rendered":"Malicious ML Models on Hugging Face Leverage Broken Pickle Format to Evade Detection info@thehackernews.com (The Hacker News)"},"content":{"rendered":"<p>Cybersecurity researchers have uncovered two malicious machine learning (ML) models on Hugging Face that leveraged an unusual technique of &#8220;broken&#8221; pickle files to evade detection.<br \/>\n&#8220;The pickle files extracted from the mentioned PyTorch archives revealed the malicious Python content at the beginning of the file,&#8221; ReversingLabs researcher Karlo Zanki said in a report shared with The Hacker News. &#8220;<a href=\"https:\/\/thehackernews.com\/2025\/02\/malicious-ml-models-found-on-hugging.html\" target=\"_blank\" class=\"feedzy-rss-link-icon\">Read More<\/a>\u00a0<\/p>","protected":false},"excerpt":{"rendered":"<p>Cybersecurity researchers have uncovered two malicious machine learning (ML) models on Hugging Face that leveraged an unusual technique of &#8220;broken&#8221; pickle files to evade detection. &#8220;The pickle files extracted from the mentioned PyTorch archives revealed the malicious Python content at the beginning of the file,&#8221; ReversingLabs researcher Karlo Zanki said in a report shared with [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":14913,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-14912","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.8 - aioseo.com -->\n\t<meta name=\"description\" content=\"Cybersecurity researchers have uncovered two malicious machine learning (ML) models on Hugging Face that leveraged an unusual technique of &quot;broken&quot; pickle files to evade detection. &quot;The pickle files extracted from the mentioned PyTorch archives revealed the malicious Python content at the beginning of the file,&quot; 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