| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Vikunja is an open-source self-hosted task management platform. Prior to 2.3.0, the Vikunja file import endpoint uses the attacker-controlled Size field from the JSON metadata inside the import zip instead of the actual decompressed file content length for the file size enforcement check. By setting Size to 0 in the JSON while including large compressed file entries in the zip, an attacker bypasses the configured maximum file size limit. This vulnerability is fixed in 2.3.0. |
| Connections received from the proxy port may not count towards total accepted connections, resulting in server crashes if the total number of connections exceeds available resources. This only applies to connections accepted from the proxy port, pending the proxy protocol header. |
| Mattermost Plugins versions <=2.1.3.0 fail to limit the request body size on the {{/changes}} webhook endpoint which allows an authenticated attacker to cause memory exhaustion and denial of service via sending an oversized JSON payload. Mattermost Advisory ID: MMSA-2026-00611 |
| Complex queries can cause excessive memory usage in MongoDB Query Planner resulting in an Out-Of-Memory Crash. |
| GitLab has remediated an issue in GitLab CE/EE affecting all versions from 8.0 before 18.6.6, 18.7 before 18.7.4, and 18.8 before 18.8.4 that, under certain conditions could have allowed an unauthenticated user to cause denial of service by uploading malicious files. |
| GitLab has remediated an issue in GitLab EE affecting all versions from 15.6 before 18.6.6, 18.7 before 18.7.4, and 18.8 before 18.8.4 that could have allowed an authenticated user to cause Denial of Service by uploading a malicious file and repeatedly querying it through GraphQl. |
| A specially-crafted file can cause libjxl's decoder to write pixel data to uninitialized unallocated memory. Soon after that data from another uninitialized unallocated region is copied to pixel data.
This can be done by requesting color transformation of grayscale images to another grayscale color space. Buffers allocated for 1-float-per-pixel are used as if they are allocated for 3-float-per-pixel. That happens only if LCMS2 is used as CMS engine. There is another CMS engine available (selected by build flags). |
| PraisonAI is a multi-agent teams system. Prior to 4.5.128, the WSGI-based recipe registry server (server.py) reads the entire HTTP request body into memory based on the client-supplied Content-Length header with no upper bound. Combined with authentication being disabled by default (no token configured), any local process can send arbitrarily large POST requests to exhaust server memory and cause a denial of service. The Starlette-based server (serve.py) has RequestSizeLimitMiddleware with a 10MB limit, but the WSGI server lacks any equivalent protection. This vulnerability is fixed in 4.5.128. |
| PraisonAI is a multi-agent teams system. Prior to 4.5.128, the /media-stream WebSocket endpoint in PraisonAI's call module accepts connections from any client without authentication or Twilio signature validation. Each connection opens an authenticated session to OpenAI's Realtime API using the server's API key. There are no limits on concurrent connections, message rate, or message size, allowing an unauthenticated attacker to exhaust server resources and drain the victim's OpenAI API credits. This vulnerability is fixed in 4.5.128. |
| Unfurl before 2026.04 contains an unbounded zlib decompression vulnerability in parse_compressed.py that allows remote attackers to cause denial of service. Attackers can submit highly compressed payloads via URL parameters to the /json/visjs endpoint that expand to gigabytes, exhausting server memory and crashing the service. |
| A memory exhaustion vulnerability exists in ZIP archive processing. Orthanc automatically extracts ZIP archives uploaded to certain endpoints and trusts metadata fields describing the uncompressed size of archived files. An attacker can craft a small ZIP archive containing a forged size value, causing the server to allocate extremely large buffers during extraction. |
| tar.Reader can allocate an unbounded amount of memory when reading a maliciously-crafted archive containing a large number of sparse regions encoded in the "old GNU sparse map" format. |
| This issue was addressed through improved state management. This issue is fixed in Safari 26.3, iOS 18.7.5 and iPadOS 18.7.5, iOS 26.3 and iPadOS 26.3, macOS Tahoe 26.3, visionOS 26.3. Processing maliciously crafted web content may lead to an unexpected process crash. |
| Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. Prior 9.5.2-alpha.2 and 8.6.15, an unauthenticated attacker can exhaust Parse Server resources (CPU, memory, database connections) through crafted queries that exploit the lack of complexity limits in the REST and GraphQL APIs. All Parse Server deployments using the REST or GraphQL API are affected. This vulnerability is fixed in 9.5.2-alpha.2 and 8.6.15. |
| Memory leak in the worker MPM (worker.c) for Apache 2, in certain circumstances, allows remote attackers to cause a denial of service (memory consumption) via aborted connections, which prevents the memory for the transaction pool from being reused for other connections. |
| Joomla! 1.03 does not restrict the number of "Search" Mambots, which allows remote attackers to cause a denial of service (resource consumption) via a large number of Search Mambots. |
| iptables before 1.2.4 does not accurately convert rate limits that are specified on the command line, which could allow attackers or users to generate more or less traffic than intended by the administrator. |
| A gzip decompression bomb vulnerability exists when Orthanc processes HTTP request with `Content-Encoding: gzip`. The server does not enforce limits on decompressed size and allocates memory based on attacker-controlled compression metadata. A specially crafted gzip payload can trigger excessive memory allocation and exhaust system memory. |
| A memory exhaustion vulnerability exists in the HTTP server due to unbounded use of the `Content-Length` header. The server allocates memory directly based on the attacker supplied header value without enforcing an upper limit. A crafted HTTP request containing an extremely large `Content-Length` value can trigger excessive memory allocation and server termination, even without sending a request body. |
| OpenClaw before 2026.3.22 contains an unbounded memory allocation vulnerability in remote media HTTP error handling that allows attackers to trigger excessive memory consumption. Attackers can send crafted HTTP error responses with large bodies to remote media endpoints, causing the application to allocate unbounded memory before failure handling occurs. |
