CVE Intelligence

Vulnerabilidades do Red Hat Red Hat Enterprise Linux AI (RHEL AI) 3

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CVEs publicadas que afetam Red Hat Red Hat Enterprise Linux AI (RHEL AI) 3: 7 registro(s), com versões afetadas e correções.

CVE-2026-87742 Alta · 7.5 CWE-770 17/09/2026
Quarkus-websockets-next: denial of service (oom) in quarkus-websockets-next via unbounded message buffering
A flaw was found in quarkus-websockets-next. This vulnerability allows a remote attacker to cause a Denial of Service (DoS) by streaming messages over a single connection faster than the application can process them. Due to unbounded message buffering and a lack of read backpressure, this rapidly exhausts heap space, leading to a java.lang.OutOfMemoryError that crashes the Java Virtual Machine (JVM).
CVE-2026-18393 Média · 5.4 CWE-787 28/08/2026
Ffmpeg: ffmpeg: heap buffer overflow in tdsc_load_cursor() via cur_fmt_mono cursor
A flaw was found in FFmpeg. The tdsc_load_cursor() function writes beyond the bounds of a heap-allocated buffer when processing crafted TDSC cursor data. A remote attacker could exploit this by supplying a specially crafted video file, potentially leading to a denial of service or arbitrary code execution.
CVE-2026-12706 Média · 6.5 CWE-416 19/06/2026
Ffmpeg: ffmpeg: heap use-after-free read in rasc decoder decode_move()
A use-after-free vulnerability was found in FFmpeg's RASC video decoder. The decode_move() function initializes a read pointer into a decompressed buffer, but a subsequent reallocation of that same buffer during move-table processing leaves the pointer dangling. An attacker could exploit this by providing a specially crafted AVI file containing a malicious RASC video stream. When a user opens or plays the file, the decoder reads from freed heap memory, which could lead to a denial of service (crash).
CVE-2026-12491 Média · 4.8 CWE-115 17/06/2026
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 converted to RGB, transparency information may be implicitly discarded or remapped, leading to unexpected rendering of transparent pixels and distortion of input content. This can result in the model misinterpreting image content, potentially affecting the integrity of processed data.
CVE-2026-6859 Alta · 8.8 CWE-829 22/04/2026
Instructlab: instructlab: arbitrary code execution due to hardcoded `trust_remote_code=true`
A flaw was found in InstructLab. The `linux_train.py` script hardcodes `trust_remote_code=True` when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run `ilab train/download/generate` with a specially crafted malicious model from the HuggingFace Hub. This vulnerability can lead to complete system compromise.
CVE-2026-6855 Alta · 7.1 CWE-22 22/04/2026
Instructlab: instructlab: path traversal allows arbitrary directory creation and file write
A flaw was found in InstructLab. A local attacker could exploit a path traversal vulnerability in the chat session handler by manipulating the `logs_dir` parameter. This allows the attacker to create new directories and write files to arbitrary locations on the system, potentially leading to unauthorized data modification or disclosure.
CVE-2026-6385 Média · 6.5 CWE-190 15/04/2026
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 parser's fragment reassembly bounds checks, leading to a heap out-of-bounds write. Successful exploitation can result in a denial of service (DoS) due to an application crash, and potentially lead to arbitrary code execution.