Tag: vulnerability
-
Wired: AI Code Hallucinations Increase the Risk of ‘Package Confusion’ Attacks
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…
-
CSA: Putting the App Back in CNAPP
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…
-
Slashdot: AI-Generated Code Creates Major Security Risk Through ‘Package Hallucinations’
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…
-
Schneier on Security: Applying Security Engineering to Prompt Injection Security
Source URL: https://www.schneier.com/blog/archives/2025/04/applying-security-engineering-to-prompt-injection-security.html Source: Schneier on Security Title: Applying Security Engineering to Prompt Injection Security Feedly Summary: This seems like an important advance in LLM security against prompt injection: Google DeepMind has unveiled CaMeL (CApabilities for MachinE Learning), a new approach to stopping prompt-injection attacks that abandons the failed strategy of having AI models police…