Tag: RMF
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Unit 42: Model Namespace Reuse: An AI Supply-Chain Attack Exploiting Model Name Trust
Source URL: https://unit42.paloaltonetworks.com/model-namespace-reuse/ Source: Unit 42 Title: Model Namespace Reuse: An AI Supply-Chain Attack Exploiting Model Name Trust Feedly Summary: Model namespace reuse is a potential security risk in the AI supply chain. Attackers can misuse platforms like Hugging Face for remote code execution. The post Model Namespace Reuse: An AI Supply-Chain Attack Exploiting Model…
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The Register: Internet mapping and research tool Censys reveals state-based abuse, harassment
Source URL: https://www.theregister.com/2025/09/03/censys_abuse_sigcomm_paper/ Source: The Register Title: Internet mapping and research tool Censys reveals state-based abuse, harassment Feedly Summary: ‘Universities are being used to proxy offensive government operations, turning research access decisions political’ Censys Inc, vendor of the popular Censys internet-mapping tool, has revealed that state-based actors are trying to abuse its services by hiding…
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NCSC Feed: From bugs to bypasses: adapting vulnerability disclosure for AI safeguards
Source URL: https://www.ncsc.gov.uk/blog-post/from-bugs-to-bypasses-adapting-vulnerability-disclosure-for-ai-safeguards Source: NCSC Feed Title: From bugs to bypasses: adapting vulnerability disclosure for AI safeguards Feedly Summary: Exploring how far cyber security approaches can help mitigate risks in generative AI systems AI Summary and Description: Yes Summary: The text addresses the intersection of cybersecurity strategies and generative AI systems, highlighting how established cybersecurity…
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Slashdot: One Long Sentence is All It Takes To Make LLMs Misbehave
Source URL: https://slashdot.org/story/25/08/27/1756253/one-long-sentence-is-all-it-takes-to-make-llms-misbehave?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: One Long Sentence is All It Takes To Make LLMs Misbehave Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a significant security research finding from Palo Alto Networks’ Unit 42 regarding vulnerabilities in large language models (LLMs). The researchers explored methods that allow users to bypass…