Hugging Face | Breaking Cybersecurity News | The Hacker News

Artificial Intelligence (AI) company Hugging Face on Friday disclosed that it detected unauthorized access to its Spaces platform earlier this week. "We have suspicions that a subset of Spaces' secrets could have been accessed without authorization," it said in an advisory. Spaces offers a way for users to create, host, and share AI and machine learning (ML) applications. It also functions as a discovery service to look up AI apps made by other users on the platform. In response to the security event, Hugging Space said it is taking the step of revoking a number of HF tokens present in those secrets and that it's notifying users who had their tokens revoked via email. "We recommend you refresh any key or token and consider switching your HF tokens to fine-grained access tokens which are the new default," it added. Hugging Face, however, did not disclose how many users are impacted by the incident, which is currently under further investigation. It has

New research has found that artificial intelligence (AI)-as-a-service providers such as Hugging Face are susceptible to two critical risks that could allow threat actors to escalate privileges, gain cross-tenant access to other customers' models, and even take over the continuous integration and continuous deployment (CI/CD) pipelines. "Malicious models represent a major risk to AI systems, especially for AI-as-a-service providers because potential attackers may leverage these models to perform cross-tenant attacks," Wiz researchers Shir Tamari and Sagi Tzadik  said . "The potential impact is devastating, as attackers may be able to access the millions of private AI models and apps stored within AI-as-a-service providers." The development comes as machine learning pipelines have emerged as a brand new supply chain attack vector, with repositories like Hugging Face becoming an attractive target for staging adversarial attacks designed to glean sensitive infor

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As many as 100 malicious artificial intelligence (AI)/machine learning (ML) models have been discovered in the Hugging Face platform. These include instances where loading a  pickle file  leads to code execution, software supply chain security firm JFrog said. "The model's payload grants the attacker a shell on the compromised machine, enabling them to gain full control over victims' machines through what is commonly referred to as a 'backdoor,'" senior security researcher David Cohen  said . "This silent infiltration could potentially grant access to critical internal systems and pave the way for large-scale data breaches or even corporate espionage, impacting not just individual users but potentially entire organizations across the globe, all while leaving victims utterly unaware of their compromised state." Specifically, the rogue model initiates a reverse shell connection to 210.117.212[.]93, an IP address that belongs to the Korea Research