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Product · Red Hat

Red Hat AI Inference Server

10 known vulnerabilities.

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  • Medium 4.8

    Vllm: vllm: image exif rotation & png trns transparency not normalized, causing mismatch between model input and expectations

    A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency (tRNS) data, during image processing. When images are c…

  • Medium 6.5

    Ffmpeg: ffmpeg: denial of service and potential arbitrary code execution via signed integer overflow in dvd subtitle parser

    A flaw was found in FFmpeg. A remote attacker could exploit this vulnerability by providing a specially crafted MPEG-PS/VOB media file containing a malicious DVD subtitle stream. This vulnerability is caused by a signed integer overflow in the DVD subtitle pa…

  • Medium 6.3

    Uv: uv: specially crafted zip archives lead to arbitrary code execution due to parsing differentials

    A flaw was found in uv. This vulnerability allows an attacker to execute malicious code during package resolution or installation via specially crafted ZIP (Zipped Information Package) archives that exploit parsing differentials, requiring user interaction to…

  • Medium 5.3

    Ai-inference-server: authentication bypass via unprotected inference endpoint in api

    A flaw was found in the authentication enforcement mechanism of a model inference API in ai-inference-server. All /v1/* endpoints are expected to enforce API key validation. However, the POST /invocations endpoint failed to do so, resulting in an authenticati…