| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Incorrect caching of authentication between different users of the qSnapper dbus service before version 1.3.3 allowed any local attacker to use dbus functions after a privileged users has authenticated for them. |
| The software accepts user-supplied input via a URL parameter without adequate output encoding before reflecting it back to the user's browser. This condition allows an attacker to inject malicious script content into pages served by the application.
By leveraging this weakness, an attacker can cause the user's browser to redirect to a malicious website, modify the UI of the webpage, or retrieve information from the browser. However, the impact is mitigated by the use of httpOnly flags on session-related cookies, preventing session hijacking. |
| A memory leak in OpenVPN version 2.5.0 through 2.5.11, 2.6.0 through 2.6.20 and 2.7_alpha1 through 2.7.4 allows remote attackers with a valid tls-crypt-v2 client key to potentially cause a denial of service |
| pnpm is a package manager. Prior to 10.34.4 and 11.7.0, a crafted patch entry could resolve outside the configured patches directory and cause pnpm patch-remove to delete an arbitrary reachable file. This vulnerability is fixed in 10.34.4 and 11.7.0. |
| pnpm is a package manager. Prior to 10.34.4 and 11.8.0, pnpm accepts package names from the env lockfile configDependencies section and uses those names directly when creating config dependency symlinks under node_modules/.pnpm-config. A malicious repository can commit a crafted pnpm-lock.yaml whose env-lockfile document contains a traversal-shaped config dependency name. During pnpm install, pnpm installs the config dependency and creates a symlink at a path derived from that name. This vulnerability is fixed in 10.34.4 and 11.8.0. |
| Untrusted Java Deserialization in Apache OpenNLP SvmDoccatModel
Versions Affected:
before 3.0.0-M4 (libsvm document categorization module; introduced in
OPENNLP-1808 and only present on the 3.x line)
Description:
SvmDoccatModel.deserialize(InputStream) reads an attacker-controlled
stream with java.io.ObjectInputStream and calls readObject() without an
ObjectInputFilter installed. ObjectInputStream materialises every class
referenced in the stream before the resulting object is cast to
SvmDoccatModel, so the cast that follows readObject() executes only
after the foreign object graph has already been deserialised in full.
If a Java deserialization gadget chain is available on the consumer's
classpath, a crafted payload supplied to
deserialize() executes arbitrary code in the JVM that loads it. Apache
OpenNLP itself does not ship a known gadget chain, so the realistic
risk is to downstream applications that embed the libsvm module
alongside vulnerable transitive dependencies. The method is public and
static, so any caller can pass an untrusted stream to it directly.
The practical impact is remote code execution against processes that
load SvmDoccatModel instances from untrusted or semi-trusted origins.
Mitigation:
3.x users should upgrade to 3.0.0-M4.
Users who cannot upgrade immediately should treat all serialized
SvmDoccatModel streams as untrusted input unless their provenance is
verified, and should avoid invoking SvmDoccatModel.deserialize() on
streams supplied by end users or fetched from third-party sources
without integrity checks. |
| vLLM is an inference and serving engine for large language models. From 0.22.0 to 0.23.0, the /v1/audio/transcriptions and /v1/audio/translations routes call request.file.read() to fully materialize an uploaded audio file into memory before vLLM checks the documented VLLM_MAX_AUDIO_CLIP_FILESIZE_MB compressed upload size limit (default 25 MB) later in the speech-to-text preprocessing step, so an API caller who can reach those routes can submit an oversized multipart upload and cause vLLM to allocate memory proportional to the uploaded file size before the request is rejected as too large, creating memory pressure or terminating the process depending on deployment resource limits. This issue is fixed in version 0.24.0. |
| vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, a frontend-legal multi-request speculative decoding workload can cause the rejection sampler to produce a recovered token equal to the model vocabulary size boundary value, which is then converted to negative one when the engine selects the next live token for a request and is written back into the drafter's input ids; that out-of-vocabulary value is later consumed by the model's embedding and attention path and crashes the engine worker with a GPU device-side assertion. The same triggering request sequence is reachable through the public gRPC Generate and Abort endpoints, so a remote client that can send generation requests can crash the shared engine worker, aborting concurrent requests and causing a service-wide denial of service for other clients of the deployment until the worker is restarted. This issue is fixed in version 0.24.0. |
| A flaw in the authentication mechanism for video stream requests in Genetec Security Center 5.14.0.0 prior to build 5.14.178.18 may allow an unauthenticated attacker to access live video streams. |
| vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, the structured_outputs.regex API parameter passes a user-supplied regular expression string directly to the grammar compiler backends with no compilation timeout; in the xgrammar backend the string reaches the regex compiler with no guard, and in the outlines backend the validation step blocks structural issues such as lookarounds and backreferences but performs no complexity analysis, so a pattern with nested quantifiers passes all checks and causes exponential state-space expansion, allowing a single request containing an adversarial regex to hang an inference worker indefinitely and deny service. This issue is fixed in version 0.24.0. |
| vLLM is a library for LLM inference and serving. From 0.12.0 to before 0.24.0, sending a pure prompt embeds payload in a /v1/completions request with a model using M-RoPE causes EngineCore to fail an assertion and fatally crash, shutting down the entire server application. Any remote user who is authorized to make a /v1/completions request can make such a request and induce a crash. This issue is fixed in version 0.24.0. |
| Memory Corruption when invoking device input/output control operations for mapping and unmapping persistent memory buffers due to improper synchronization. |
| Memory Corruption when processing multiple IOCTL calls with the same buffer file descriptor input due to accessing already freed memory. |
| Improper Neutralization of Special Elements in the metrics-service retention policy management component in Amazon mcp-gateway-registry before 1.0.13 might allow an authenticated remote user to execute arbitrary SQL queries via a crafted table_name value that is interpolated into SQL statements in identifier position.
To remediate this issue, users should upgrade to version 1.0.13 or later. |
| showdown contains a stored cross-site scripting vulnerability in the parseHeaders function of src/subParsers/makehtml/tables.js that fails to properly escape table header ID attributes. Attackers can inject arbitrary HTML and script-executing SVG elements through double-quote characters in markdown table headers, achieving stored XSS when untrusted markdown is rendered with the default github flavor configuration. |
| Coolify is an open-source and self-hostable tool for managing servers, applications, and databases. Prior to 4.0.0-beta.474, PostgreSQL healthcheck command generation used attacker-controlled database settings (postgres_user and postgres_db) in shell-form commands, allowing an authenticated user to inject commands executed in the database container. This issue is fixed in version 4.0.0-beta.474. |
| Trueview Security camera T18161- AF v4.9.60.0 contains an authentication bypass vulnerability caused by improper password validation and the presence of hard-coded credentials in the firmware. |
| Coolify is an open-source and self-hostable tool for managing servers, applications, and databases. Prior to 4.0.0-beta.471, the database import Livewire component (app/Livewire/Project/Database/Import.php) allows client-controlled container and server properties to reach shell commands without locking or validation, allowing an authenticated user to inject commands through a database import container name. This issue is fixed in version 4.0.0-beta.471. |
| The Frontend File Manager Plugin WordPress plugin through 23.6 does not validate a file path derived from user input before deleting the referenced file, allowing unauthenticated users to delete arbitrary files on the server (such as wp-config.php) when guest upload mode is enabled. Deleting wp-config.php forces the site into its setup routine, which can be leveraged toward a full site takeover. |
| The Bulk Variables API in Apache Airflow called the redactor without passing the variable's key, so the key-based `should_hide_value_for_key` check (which triggers on secret-suffixed key names like `*_password` / `*_token` / `*_secret`) could not fire for JSON-decodable variable values. An authenticated UI/API user with bulk Variable read permission could retrieve plaintext values from JSON variables whose key would otherwise trigger redaction. Affects deployments that store sensitive values in JSON-typed Airflow Variables under secret-suffixed key names. Users are advised to upgrade to `apache-airflow` 3.3.0 or later (the fix landed on `main` after 3.2.2; no 3.2.x backport). |
