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“This newly identified vulnerability exploited unsuspecting users who adopt an agent containing a pre-configured malicious proxy server uploaded to ‘Prompt Hub’ (which is against LangChain ToS),” the Noma Security’s researchers wrote. “Once adopted, the malicious proxy discreetly intercepted all user communications — including sensitive data such as API keys (including OpenAI API Keys), user prompts, documents, images, and voice inputs — without the victim’s knowledge.”
The LangChain team has since added warnings to agents that contain custom proxy configurations, but this vulnerability highlights how well-intentioned features can have serious security repercussions if users don’t pay attention, especially on platforms where they copy and run other people’s code on their systems.
The problem, as Sonatype’s Fox mentioned, is that, with AI, the risk expands beyond traditional executable code. Developers might more easily understand why running software components from repositories such as PyPI, npm, NuGet, and Maven Central on their machines carry significant risks if those components are not vetted first by their security teams. But they might not think the same risks apply when testing a system prompt in an LLM or even a custom machine learning (ML) model shared by others.
in well organized HTML format with all tags properly closed. Create appropriate headings and subheadings to organize the content. Ensure the rewritten content is approximately 1500 words. Do not include the title and images. please do not add any introductory text in start and any Note in the end explaining about what you have done or how you done it .i am directly publishing the output as article so please only give me rewritten content. At the end of the content, include a “Conclusion” section and a well-formatted “FAQs” section.
