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Tag: vulnerabilities

  • Wired: AI Code Hallucinations Increase the Risk of ‘Package Confusion’ Attacks

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    by

    Kurt Seifried
    in

    Source URL: https://arstechnica.com/security/2025/04/ai-generated-code-could-be-a-disaster-for-the-software-supply-chain-heres-why/ Source: Wired Title: AI Code Hallucinations Increase the Risk of ‘Package Confusion’ Attacks Feedly Summary: A new study found that code generated by AI is more likely to contain made-up information that can be used to trick software into interacting with malicious code. AI Summary and Description: Yes Summary: The text reports…

  • Microsoft Security Blog: 14 secure coding tips: Learn from the experts at Microsoft Build

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    Kurt Seifried
    in

    Source URL: https://techcommunity.microsoft.com/blog/microsoft-security-blog/14-secure-coding-tips-learn-from-the-experts-at-build/4407147 Source: Microsoft Security Blog Title: 14 secure coding tips: Learn from the experts at Microsoft Build Feedly Summary: At Microsoft Build 2025, we’re bringing together security engineers, researchers, and developers to share practical tips and modern best practices to help you ship secure code faster. The post 14 secure coding tips: Learn…

  • Wired: These Startups Are Building Advanced AI Models Without Data Centers

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    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/these-startups-are-building-advanced-ai-models-over-the-internet-with-untapped-data/ Source: Wired Title: These Startups Are Building Advanced AI Models Without Data Centers Feedly Summary: A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. AI Summary and Description: Yes Summary: The text discusses an innovative crowd-trained…

  • CSA: Threat Modeling Google’s A2A Protocol

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    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/threat-modeling-google-s-a2a-protocol-with-the-maestro-framework Source: CSA Title: Threat Modeling Google’s A2A Protocol Feedly Summary: AI Summary and Description: Yes **Summary:** The text provides a comprehensive analysis of the security implications surrounding the A2A (Agent-to-Agent) protocol used in AI systems, highlighting the innovative MAESTRO threat modeling framework specifically designed for agentic AI. It details various types of…

  • CSA: Putting the App Back in CNAPP

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    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/breaking-the-cloud-security-illusion-putting-the-app-back-in-cnapp Source: CSA Title: Putting the App Back in CNAPP Feedly Summary: AI Summary and Description: Yes Summary: The text outlines the limitations of current Cloud-Native Application Protection Platform (CNAPP) solutions in addressing application-layer security threats. As attackers evolve to exploit application logic and behavior rather than just infrastructure misconfigurations, the necessity for…

  • Newswire.ca: TrojAI Has Joined the Cloud Security Alliance as an AI Corporate Member

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    Kurt Seifried
    in

    Source URL: https://www.newswire.ca/news-releases/trojai-has-joined-the-cloud-security-alliance-as-an-ai-corporate-member-819981430.html Source: Newswire.ca Title: TrojAI Has Joined the Cloud Security Alliance as an AI Corporate Member Feedly Summary: TrojAI Has Joined the Cloud Security Alliance as an AI Corporate Member AI Summary and Description: Yes Summary: TrojAI has joined the Cloud Security Alliance (CSA) as an AI Corporate Member, marking its commitment to…

  • Slashdot: AI-Generated Code Creates Major Security Risk Through ‘Package Hallucinations’

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    by

    Kurt Seifried
    in

    Source URL: https://developers.slashdot.org/story/25/04/29/1837239/ai-generated-code-creates-major-security-risk-through-package-hallucinations?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI-Generated Code Creates Major Security Risk Through ‘Package Hallucinations’ Feedly Summary: AI Summary and Description: Yes Summary: The study highlights a critical vulnerability in AI-generated code, where a significant percentage of generated packages reference non-existent libraries, posing substantial risks for supply-chain attacks. This phenomenon is more prevalent in open…