Insecure Deserialization
PulseAugur coverage of Insecure Deserialization — every cluster mentioning Insecure Deserialization across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Vibe coding security risks and best practices detailed
The practice of "vibe coding," where developers generate code by conversing with AI models without deep personal review, presents significant security risks. While it boosts productivity, it can lead to a tenfold increa…
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Insecure Deserialization Vulnerability 'POP Chain' Remains Effective After 15 Years
A cybersecurity vulnerability known as POP Chain, related to insecure deserialization, has been highlighted as an effective technique that remains relevant despite being over 15 years old. This method exploits a long-st…
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LLM inference engines vulnerable to classic code injection flaws
A significant security vulnerability, CVE-2025-9141, has been identified in inference engines like vLLM and SGLang, stemming from the use of the `eval()` function on model-generated arguments. This issue, reminiscent of…
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NeuralGuard uses AI to detect code vulnerabilities in development pipelines
The NeuralGuard project introduces an open-source tool designed to detect security vulnerabilities in software code during the development process. It leverages machine learning, transformers, and large language models …