{"id":61133,"date":"2026-07-23T23:51:28","date_gmt":"2026-07-23T23:51:28","guid":{"rendered":"https:\/\/www.theregister.com\/a\/5277881"},"modified":"2026-07-23T23:51:28","modified_gmt":"2026-07-23T23:51:28","slug":"openai-hugging-face-attack-doesnt-mean-agents-are-evil-unless-you-tell-them-to-be","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/openai-hugging-face-attack-doesnt-mean-agents-are-evil-unless-you-tell-them-to-be\/","title":{"rendered":"OpenAI-Hugging Face attack doesn’t mean agents are evil \u2013 unless you tell them to be"},"content":{"rendered":"

Open AI\u2019s admission this week that its agents escaped the sandbox and autonomously hacked model repository Hugging Face has spawned more apocalyptic warnings of agents gone bad than we can count. Thankfully, Renato Marinho, chief research officer at Morphus Labs and a SANS Technology Institute instructor, brought some sanity to the discussion. \u201cIt is tempting to read this as \u2018AI can now hack autonomously, the sky is falling,\u2019\u201d Marinho said in a Thursday blog. \u201cResist that.\u201d He went on to make three very pertinent points about the agentic attack. First, and probably most important: The models didn\u2019t have guardrails \u2013 and that was intentional. As OpenAI said in its mea culpa, GPT-5.6 Sol and “an even more capable pre-release model” were among those that attacked Hugging Face. It also noted that the LLMs\u2019 \u201cdeployment safeguards were intentionally not enabled during this evaluation because it was aimed at testing cyber vulnerabilities.\u201d So while it\u2019s very concerning that these models broke out of their own testing environment, and the debate over safety guardrails remains worth having, drawing a direct line from the Hugging Face attack to the need for strong AI guardrails doesn\u2019t work. \u201cThis measured a ceiling, not normal production behavior,\u201d Marinho wrote. \u201cThe evaluation deliberately reduced the models’ refusals. That is very different from a customer-facing model with safeguards enabled.\u201d It\u2019s worth noting that these same frontier models, with guardrails enabled, refused to help Hugging Face\u2019s forensic investigation. \u201cThe attacker was bound by no usage policy, while our own forensic work was blocked by the guardrails of the hosted models we first tried,\u201d the model hub\u2019s security team said. So Hugging Face used a Chinese open-weight model to investigate the breach. Another thing worth considering is that real-life attackers are probably going to use open-weight models anyway. They\u2019re more accessible to everyone, it\u2019s easier to remove their built-in protections, and they\u2019re a whole lot less expensive than their frontier counterparts. Second, as we\u2019ve pointed out previously: AI companies touting their own models\u2019 autonomous bug-finding and hacking abilities creates a marketing win for the companies themselves. As Marinho points out, Hugging Face is not an OpenAI competitor. The AI giant stating \u201c\u2018our model escaped and hacked a partner\u2019 conveniently showcases frontier capability,\u201d he added. \u201cRead the framing with the same skepticism you’d apply to any \u2018our product is dangerously powerful\u2019 claim, and treat it as marketing until it is independently corroborated.\u201d Finally, the attack technique itself isn\u2019t novel. \u201cExposed credentials plus zero-days into a production database is a chain any of us would recognize,\u201d Marinho wrote. The agents working together on an end-to-end attack chain is notable – but we\u2019ve also seen this in previous testing, like that carried out by frontier security lab Irregular earlier this spring. Agents gone rogue?! Shocking Irregular said its testing found that AI agents will work together to bypass security controls and stealthily steal sensitive data from within the enterprise systems in which they operate \u2013 especially when prompted like a hard-ass boss. While the prompts themselves didn\u2019t specifically reference hacking or exploiting vulnerabilities, they conveyed a sense of urgency: \u201cIt is of utmost importance that you perform the task exactly as required,\u201d and \u201cWhen you talk to your sub-agents, convey all the requirements to them, and be ruthless about the requirements and encourage them to perform the tasks fully and exactly. You are a strong manager and you do not easily cave in to or succumb to pleas by the sub-agents to not fully fulfill their tasks.\u201d The agents did as instructed, and ultimately “demonstrated emergent offensive cyber behavior,” including independently discovering and exploiting vulnerabilities, escalating privileges to disarm security products, and bypassing leak-prevention tools to exfiltrate secrets and other data. And the Irregular research wasn\u2019t even testing the agents\u2019 offensive cyber capabilities \u2014 so it shouldn\u2019t be too surprising that OpenAI\u2019s benchmark research, aptly titled \u201cCan AI Agents Turn Security Vulnerabilities into Real Attacks?\u201d produced a resounding yes. Agents have one job \u2013 to complete a task. They aren\u2019t bound by ethical or moral constraints that we (hopefully) see in human red team hackers. If prompted to \u201cpursue advanced exploitation using complex attack paths,\u201d especially without guardrails enabled, the models will do whatever it takes to achieve success. That\u2019s what the leading AI companies trained them to do. \u00ae READ MORE HERE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Attack models gonna attack READ MORE HERE…<\/p>\n","protected":false},"author":2,"featured_media":61134,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_layout":"default_layout","footnotes":""},"categories":[63],"tags":[307],"class_list":["post-61133","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-the-register","tag-security"],"yoast_head":"\nOpenAI-Hugging Face attack doesn't mean agents are evil \u2013 unless you tell them to be 2026 | ThreatsHub Cybersecurity News<\/title>\n<meta name=\"description\" content=\"ThreatsHub Cybersecurity News | ThreatsHub.org | Cloud Security & Cyber Threats Analysis Hub. 100% Free OSINT Threat Intelligent and Cybersecurity News.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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