| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| vLLM is an inference and serving engine for large language models (LLMs). In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimension mismatch that results in an unhandled runtime error, leading to complete server termination. This issue has been patched in version 0.12.0. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana Fleet can lead to Excessive Allocation (CAPEC-130) via a specially crafted request. This causes the application to perform redundant processing operations that continuously consume system resources until service degradation or complete unavailability occurs. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana Fleet can lead to Excessive Allocation (CAPEC-130) via a specially crafted bulk retrieval request. This requires an attacker to have low-level privileges equivalent to the viewer role, which grants read access to agent policies. The crafted request can cause the application to perform redundant database retrieval operations that immediately consume memory until the server crashes and becomes unavailable to all users. |
| Improper Input Validation (CWE-20) in Kibana's Email Connector can allow an attacker to cause an Excessive Allocation (CAPEC-130) through a specially crafted email address parameter. This requires an attacker to have authenticated access with view-level privileges sufficient to execute connector actions. The application attempts to process specially crafted email format, resulting in complete service unavailability for all users until manual restart is performed. |
| Undici is an HTTP/1.1 client for Node.js. Prior to 7.18.0 and 6.23.0, the number of links in the decompression chain is unbounded and the default maxHeaderSize allows a malicious server to insert thousands compression steps leading to high CPU usage and excessive memory allocation. This vulnerability is fixed in 7.18.0 and 6.23.0. |
| Allocation of Resources Without Limits or Throttling in the HDF5 weight loading component in Google Keras 3.0.0 through 3.13.0 on all platforms allows a remote attacker to cause a Denial of Service (DoS) through memory exhaustion and a crash of the Python interpreter via a crafted .keras archive containing a valid model.weights.h5 file whose dataset declares an extremely large shape. |
| SvelteKit is a framework for rapidly developing robust, performant web applications using Svelte. From 2.49.0 to 2.49.4, the experimental form remote function uses a binary data format containing a representation of submitted form data. A specially-crafted payload can cause the server to allocate a large amount of memory, causing DoS via memory exhaustion. This vulnerability is fixed in 2.49.5. |
| Traefik is an HTTP reverse proxy and load balancer. Prior to 2.11.35 and 3.6.7, there is a potential vulnerability in Traefik ACME TLS certificates' automatic generation: the ACME TLS-ALPN fast path can allow unauthenticated clients to tie up go routines and file descriptors indefinitely when the ACME TLS challenge is enabled. A malicious client can open many connections, send a minimal ClientHello with acme-tls/1, then stop responding, leading to denial of service of the entry point. The vulnerability is fixed in 2.11.35 and 3.6.7. |
| Wings is the server control plane for Pterodactyl, a free, open-source game server management panel. Starting in version 1.7.0 and prior to version 1.12.0, Wings does not consider SQLite max parameter limit when processing activity log entries allowing for low privileged user to trigger a condition that floods the panel with activity records. After Wings sends activity logs to the panel it deletes the processed activity entries from the wings SQLite database. However, it does not consider the max parameter limit of SQLite, 32766 as of SQLite 3.32.0. If wings attempts to delete more than 32766 entries from the SQLite database in one query, it triggers an error (SQL logic error: too many SQL variables (1)) and does not remove any entries from the database. These entries are then indefinitely re-processed and resent to the panel each time the cron runs. By successfully exploiting this vulnerability, an attacker can trigger a situation where wings will keep uploading the same activity data to the panel repeatedly (growing each time to include new activity) until the panels' database server runs out of disk space. Version 1.12.0 fixes the issue. |
| seroval facilitates JS value stringification, including complex structures beyond JSON.stringify capabilities. In versions 1.4.0
and below, overriding encoded array lengths by replacing them with an excessively large value causes the deserialization process to significantly increase processing time. This issue has been fixed in version 1.4.1. |
| Mastodon is a free, open-source social network server based on ActivityPub. Prior to versions 4.5.5, 4.4.12, and 4.3.18, the server does not enforce a maximum length for the names of lists or filters, or for filter keywords, allowing any user to set an arbitrarily long string as the name or keyword. Any local user can abuse the list or filter fields to cause disproportionate storage and computing resource usage. They can additionally cause their own web interface to be unusable, although they must intentionally do this to themselves or unknowingly approve a malicious API client. Mastodon versions v4.5.5, v4.4.12, v4.3.18 are patched. |
| Seroval facilitates JS value stringification, including complex structures beyond JSON.stringify capabilities. In versions 1.4.0
and below, serialization of objects with extreme depth can exceed the maximum call stack limit. In version 1.4.1, Seroval introduces a `depthLimit` parameter in serialization/deserialization methods. An error will be thrown if the depth limit is reached. |
| GitLab has remediated an issue in GitLab CE/EE affecting all versions from 12.3 before 18.6.4, 18.7 before 18.7.2, and 18.8 before 18.8.2 that could have allowed an unauthenticated user to create a denial of service condition by sending repeated malformed SSH authentication requests. |
| Tanium addressed an uncontrolled resource consumption vulnerability in Discover. |
| Kyverno is a policy engine designed for cloud native platform engineering teams. Versions prior to 1.16.3 and 1.15.3 have unbounded memory consumption in Kyverno's policy engine that allows users with policy creation privileges to cause denial of service by crafting policies that exponentially amplify string data through context variables. Versions 1.16.3 and 1.15.3 contain a patch for the vulnerability. |
| Suricata is a network IDS, IPS and NSM engine. Prior to versions 8.0.3 and 7.0.14, specially crafted traffic can cause Suricata to consume large amounts of memory while parsing DNP3 traffic. This can lead to the process slowing down and running out of memory, potentially leading to it getting killed by the OOM killer. Versions 8.0.3 or 7.0.14 contain a patch. As a workaround, disable the DNP3 parser in the suricata yaml (disabled by default). |
| gmrtd is a Go library for reading Machine Readable Travel Documents (MRTDs). Prior to version 0.17.2, ReadFile accepts TLVs with lengths that can range up to 4GB, which can cause unconstrained resource consumption in both memory and cpu cycles. ReadFile can consume an extended TLV with lengths well outside what would be available in ICs. It can accept something all the way up to 4GB which would take too many iterations in 256 byte chunks, and would also try to allocate memory that might not be available in constrained environments like phones. Or if an API sends data to ReadFile, the same problem applies. The very small chunked read also locks the goroutine in accepting data for a very large number of iterations. projects using the gmrtd library to read files from NFCs can experience extreme slowdowns or memory consumption. A malicious NFC can just behave like the mock transceiver described above and by just sending dummy bytes as each chunk to be read, can make the receiving thread unresponsive and fill up memory on the host system. Version 0.17.2 patches the issue. |
| In Modem, there is a possible system crash due to an uncaught exception. This could lead to remote denial of service, if a UE has connected to a rogue base station controlled by the attacker, with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: MOLY01726634; Issue ID: MSV-5728. |
| jsPDF is a library to generate PDFs in JavaScript. Prior to 4.1.0, user control of the first argument of the addImage method results in denial of service. If given the possibility to pass unsanitized image data or URLs to the addImage method, a user can provide a harmful BMP file that results in out of memory errors and denial of service. Harmful BMP files have large width and/or height entries in their headers, which lead to excessive memory allocation. The html method is also affected. The vulnerability has been fixed in jsPDF@4.1.0. |
| An issue was discovered in 6.0 before 6.0.2, 5.2 before 5.2.11, and 4.2 before 4.2.28.
`django.utils.text.Truncator.chars()` and `Truncator.words()` methods (with `html=True`) and the `truncatechars_html` and `truncatewords_html` template filters allow a remote attacker to cause a potential denial-of-service via crafted inputs containing a large number of unmatched HTML end tags.
Earlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected.
Django would like to thank Seokchan Yoon for reporting this issue. |
