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Search Results (29 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-4111 | 1 Redhat | 11 Ai Inference Server, Discovery, Enterprise Linux and 8 more | 2026-06-10 | 7.5 High |
| A flaw was identified in the RAR5 archive decompression logic of the libarchive library, specifically within the archive_read_data() processing path. When a specially crafted RAR5 archive is processed, the decompression routine may enter a state where internal logic prevents forward progress. This condition results in an infinite loop that continuously consumes CPU resources. Because the archive passes checksum validation and appears structurally valid, affected applications cannot detect the issue before processing. This can allow attackers to cause persistent denial-of-service conditions in services that automatically process archives. | ||||
| CVE-2023-52356 | 2 Libtiff, Redhat | 6 Libtiff, Ai Inference Server, Discovery and 3 more | 2026-06-10 | 7.5 High |
| A segment fault (SEGV) flaw was found in libtiff that could be triggered by passing a crafted tiff file to the TIFFReadRGBATileExt() API. This flaw allows a remote attacker to cause a heap-buffer overflow, leading to a denial of service. | ||||
| CVE-2023-52355 | 2 Libtiff, Redhat | 4 Libtiff, Ai Inference Server, Discovery and 1 more | 2026-05-21 | 7.5 High |
| An out-of-memory flaw was found in libtiff that could be triggered by passing a crafted tiff file to the TIFFRasterScanlineSize64() API. This flaw allows a remote attacker to cause a denial of service via a crafted input with a size smaller than 379 KB. | ||||
| CVE-2026-6385 | 2 Ffmpeg, Redhat | 5 Ffmpeg, Ai Inference Server, Enterprise Linux Ai and 2 more | 2026-04-17 | 6.5 Medium |
| 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. | ||||
| CVE-2025-6242 | 1 Redhat | 2 Ai Inference Server, Enterprise Linux Ai | 2026-04-15 | 7.1 High |
| A Server-Side Request Forgery (SSRF) vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The load_from_url and load_from_url_async methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an attacker to coerce the vLLM server into making arbitrary requests to internal network resources. | ||||
| CVE-2025-13327 | 2 Astral, Redhat | 3 Uv, Ai Inference Server, Openshift Ai | 2026-03-18 | 6.3 Medium |
| 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 install an attacker-controlled package. | ||||
| CVE-2023-39329 | 2 Redhat, Uclouvain | 3 Ai Inference Server, Enterprise Linux, Openjpeg | 2026-03-09 | 6.5 Medium |
| A flaw was found in OpenJPEG. A resource exhaustion can occur in the opj_t1_decode_cblks function in tcd.c through a crafted image file, causing a denial of service. | ||||
| CVE-2023-39327 | 2 Redhat, Uclouvain | 3 Ai Inference Server, Enterprise Linux, Openjpeg | 2026-03-09 | 4.3 Medium |
| A flaw was found in OpenJPEG. Maliciously constructed pictures can cause the program to enter a large loop and continuously print warning messages on the terminal. | ||||
| CVE-2025-6920 | 1 Redhat | 1 Ai Inference Server | 2025-11-20 | 5.3 Medium |
| 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 authentication bypass. This vulnerability allows unauthorized users to access the same inference features available on protected endpoints, potentially exposing sensitive functionality or allowing unintended access to backend resources. | ||||