| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A denial of service vulnerability exists in the OnGuard agent of HPE Networking ClearPass Policy Manager. Successful exploitation could allow an authenticated local attacker to interrupt the normal operation of the agent service. |
| PyJWT is a Python implementation of JSON Web Token standards. Prior to 2.14.0, PyJWT get_signing_key_from_jwt is affected because unknown kid misses force refreshes without a negative cache or minimum refresh interval. This occurs when unauthenticated tokens repeatedly use the same unknown kid or varying kid values absent from the cached JWKS. As a result, each cache miss causes PyJWKClient to refresh the JWKS. Consequently, attacker traffic can amplify outbound requests to the configured JWKS endpoint. This issue is fixed in version 2.14.0. |
| Inefficient Regular Expression Complexity in GitHub repository node-fetch/node-fetch prior to 3.2.10. |
| XStream is a Java library to serialize objects to XML and back again. In XStream before version 1.4.16, there is a vulnerability which may allow a remote attacker to occupy a thread that consumes maximum CPU time and will never return. No user is affected, who followed the recommendation to setup XStream's security framework with a whitelist limited to the minimal required types. If you rely on XStream's default blacklist of the Security Framework, you will have to use at least version 1.4.16. |
| XStream is a Java library to serialize objects to XML and back again. In XStream before version 1.4.16, there is vulnerability which may allow a remote attacker to allocate 100% CPU time on the target system depending on CPU type or parallel execution of such a payload resulting in a denial of service only by manipulating the processed input stream. No user is affected who followed the recommendation to setup XStream's security framework with a whitelist limited to the minimal required types. If you rely on XStream's default blacklist of the Security Framework, you will have to use at least version 1.4.16. |
| Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.45.0 until 2.131.0, METS-GBS format detection in docling/datamodel/document.py and the backend in docling/backend/mets_gbs_backend.py call tarfile.TarFile.getmembers() before enforcing the max_member_count limit, causing the full archive member list to be allocated before the limit can stop processing. A small gzip-compressed tar archive with a very large number of empty members can therefore consume memory proportional to the declared member count, including during format detection before the allowed_formats restriction is applied. This issue is a residual weakness in the member-count protection added for CVE-2026-44018. This issue is fixed in 2.131.0. |
| ImageMagick is free and open-source software used for editing and manipulating digital images. Prior to 7.1.2-32 and 6.9.13-57, a missing end-of-file check while reading bzip2-compressed image data can cause an infinite loop and exhaust processing resources. This issue is fixed in versions 7.1.2-32 and 6.9.13-57. |
| Mattermost versions 11.9.x <= 11.9.0, 11.8.x <= 11.8.4, 11.7.x <= 11.7.8, 10.11.x <= 10.11.22 fail to limit the nesting depth in the server-side Markdown parser which allows an authenticated attacker to cause a denial of service (CPU resource exhaustion) via a crafted post containing deeply nested blockquotes or list items.. Mattermost Advisory ID: MMSA-2026-00707 |
| ImageMagick is free and open-source software used for editing and manipulating digital images. Prior to 7.1.2-32, an unauthenticated adjacent-network client can repeatedly connect to the distributed pixel cache server and exhaust its available connections, causing denial of service. This issue is fixed in version 7.1.2-32. |
| ImageMagick is free and open-source software used for editing and manipulating digital images. Prior to 7.1.2-31, a crafted XMP profile can trigger excessive work while the parser determines a rational value's numerator and denominator, causing denial of service. This issue is fixed in version 7.1.2-31. |
| ImageMagick is free and open-source software used for editing and manipulating digital images. Prior to 7.1.2-31 and 6.9.13-56, a missing security-policy check in the CUT encoder allows a crafted local encoding operation to read data that policy should deny and can also cause a crash. This issue is fixed in versions 7.1.2-31 and 6.9.13-56. |
| ASP.NET Core Denial of Service Vulnerability |
| Mattermost versions 11.9.x <= 11.9.0, 11.8.x <= 11.8.4, 11.7.x <= 11.7.7, 10.11.x <= 10.11.22 fail to parse Markdown autolinks with unmatched trailing closing parentheses in linear time, which allows an authenticated user with permission to create posts to cause excessive server CPU consumption and degrade availability for other users via specially crafted post or message attachment content. Mattermost Advisory ID: MMSA-2026-00703 |
| Mattermost versions 11.9.x <= 11.9.0, 11.8.x <= 11.8.4, 11.7.x <= 11.7.7, 10.11.x <= 10.11.22 fail to limit the amount of memory allocated when decoding uploaded image files which allows an authenticated user to cause excessive server memory consumption and potential denial of service via uploading a specially crafted image as a profile picture, channel file attachment, team icon, or custom brand image. Mattermost Advisory ID: MMSA-2026-00719 |
| Mattermost versions 11.9.x <= 11.9.0, 11.8.x <= 11.8.4, 11.7.x <= 11.7.7, 10.11.x <= 10.11.22 fail to limit size of unpacked SDP messages compressed with zlib, which allows attacker to deny service or crash server via sending many SDP messages that unpack to large size.. Mattermost Advisory ID: MMSA-2026-00643 |
| In qsort of libufdt_sysdeps_vendor.c, there is a possible out-of-bounds write due to resource exhaustion. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. |
| A resource exhaustion vulnerability in Kiteworks Email Protection Gateway allowed an unauthenticated remote attacker to repeatedly trigger a comparatively expensive server-side operation, causing a partial denial of service. |
| vLLM is an inference and serving engine for large language models. Prior to 0.28.0, request bodies for Chat Completions and Responses can set media_io_kwargs.video.video_backend to pynvvideocodec, and MediaConnector.fetch_video forwards that choice to VideoMediaIO even when startup configuration selected a software decoder. The engine's _reserve_mm_ipc_gpu_memory logic budgets decoder memory only from static configuration, so the request-selected VIDEO_LOADER_REGISTRY backend can create a CUDA context, decoder surfaces, and decoded-frame allocations that were not removed from the engine's KV-cache budget. An attacker able to submit video requests to a video-capable GPU deployment with PyNvVideoCodec installed can exhaust shared GPU memory, causing request failures, worker crashes, or denial of service. The first release containing the fix is version 0.28.0. |
| Mini-XML 4.0.5 contains a memory leak vulnerability in mxml_load_data() during malformed XML parsing. Specially crafted XML input can cause text nodes allocated by mxmlNewText() to become unlinked before a parse error transfers control to the cleanup path. These orphaned nodes are not released, resulting in a persistent memory leak on each parsing attempt. Repeated attacker-controlled requests can cause cumulative memory exhaustion and denial of service. |
| An issue was discovered in Django 6.1 before 6.1.2, 6.0 before 6.0.9, and 5.2 before 5.2.18.
`django.utils.http.parse_header_parameters()` was subject to a potential denial-of-service attack due to quadratic time complexity when parsing a value with many separators inside a quoted parameter. An unauthenticated request could reach this parsing through headers such as `Accept` or `Content-Type`, for instance via the content negotiation performed by `HttpRequest.accepts()`. The per-call length limit does not bound the combined size of repeated headers.
Earlier, unsupported Django series (such as 5.1.x, 5.0.x, and 4.2.x) were not evaluated and may also be affected.
Django would like to thank Jisung Chae for reporting this issue. |