| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A flaw was found in Undertow. A remote attacker could exploit this vulnerability by sending an HTTP GET request containing multipart/form-data content. If the underlying application processes parameters using methods like `getParameterMap()`, the server prematurely parses and stores this content to disk. This could lead to resource exhaustion, potentially resulting in a Denial of Service (DoS). |
| Allocation of resources without limits or throttling in ASP.NET Core allows an unauthorized attacker to deny service over a network. |
| Fedify is a TypeScript library for building federated server apps powered by ActivityPub. Prior to 1.9.6, 1.10.5, 2.0.8, and 2.1.1, @fedify/fedify follows HTTP redirects recursively in its remote document loader and authenticated document loader without enforcing a maximum redirect count or visited-URL loop detection. An attacker who controls a remote ActivityPub key or actor URL can force a server using Fedify to make repeated outbound requests from a single inbound request, leading to resource consumption and denial of service. This vulnerability is fixed in 1.9.6, 1.10.5, 2.0.8, and 2.1.1. |
| Directus is a real-time API and App dashboard for managing SQL database content. Prior to 11.17.0, Directus' GraphQL endpoints (/graphql and /graphql/system) did not deduplicate resolver invocations within a single request. An authenticated user could exploit GraphQL aliasing to repeat an expensive relational query many times in a single request, forcing the server to execute a large number of independent complex database queries concurrently, multiplying database load linearly with the number of aliases. The existing token limit on GraphQL queries still permitted enough aliases for significant resource exhaustion, while the relational depth limit applied per alias without reducing the total number executed. Rate limiting is disabled by default, meaning no built-in throttle prevented this from causing CPU, memory, and I/O exhaustion that could degrade or crash the service. Any authenticated user, including those with minimal read-only permissions, could trigger this condition. This vulnerability is fixed in 11.17.0. |
| Allocation of Resources Without Limits or Throttling vulnerability in Erlang OTP ssh (ssh_sftp modules) allows Excessive Allocation, Flooding. This vulnerability is associated with program files lib/ssh/src/ssh_sftpd.erl.
This issue affects OTP form OTP 17.0 until OTP 28.0.3, OTP 27.3.4.3 and 26.2.5.15 corresponding to ssh from 3.0.1 until 5.3.3, 5.2.11.3 and 5.1.4.12. |
| Allocation of Resources Without Limits or Throttling vulnerability in Erlang OTP ssh (ssh_sftp modules) allows Excessive Allocation, Resource Leak Exposure. This vulnerability is associated with program files lib/ssh/src/ssh_sftpd.erl.
This issue affects OTP form OTP 17.0 until OTP 28.0.3, OTP 27.3.4.3 and 26.2.5.15 corresponding to ssh from 3.0.1 until 5.3.3, 5.2.11.3 and 5.1.4.12. |
| Allocation of Resources Without Limits or Throttling vulnerability in Erlang OTP ssh (ssh_sftp modules) allows Excessive Allocation, Resource Leak Exposure. This vulnerability is associated with program files lib/ssh/src/ssh_sftpd.erl.
This issue affects OTP form OTP 17.0 until OTP 28.0.3, OTP 27.3.4.3 and 26.2.5.15 corresponding to ssh from 3.0.1 until 5.3.3, 5.2.11.3 and 5.1.4.12. |
| vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionRequest Pydantic models, an unauthenticated attacker can send a single HTTP request with an astronomically large n value. This completely blocks the Python asyncio event loop and causes immediate Out-Of-Memory crashes by allocating millions of request object copies in the heap before the request even reaches the scheduling queue. This vulnerability is fixed in 0.19.0. |
| ProFTPD 1.3.7a contains a denial of service vulnerability that allows attackers to overwhelm the server by creating multiple simultaneous FTP connections. Attackers can repeatedly establish connections using threading to exhaust server connection limits and block legitimate user access. |
| AWebServer GhostBuilding 18 contains a denial of service vulnerability that allows remote attackers to overwhelm the server by sending multiple concurrent HTTP requests. Attackers can generate high-volume requests to multiple endpoints including /mysqladmin to potentially crash or render the service unresponsive. |
| Laravel Nova 3.7.0 contains a denial of service vulnerability that allows authenticated users to crash the application by manipulating the 'range' parameter. Attackers can send simultaneous requests with an extremely high range value to overwhelm and crash the server. |
| SyncBreeze 10.0.28 contains a denial of service vulnerability in the login endpoint that allows remote attackers to crash the service. Attackers can send an oversized payload in the login request to overwhelm the application and potentially disrupt service availability. |
| InputMapper 1.6.10 contains a buffer overflow vulnerability in the username field that allows local attackers to crash the application by entering an excessively long string. Attackers can trigger a denial of service by copying a large payload into the username field and double-clicking to process it, causing the application to crash. |
| A resample query can be used to trigger out-of-memory crashes in Grafana. |
| The OpenFeature feature toggle evaluation endpoint reads unbounded values into memory, which can cause out-of-memory crashes. |
| The Grafana MSSQL data source plugin contains a logic flaw that allows a low-privileged user (Viewer) to bypass API restrictions and trigger a catastrophic Out-Of-Memory (OOM) memory exhaustion, crashing the host container. |
| A testdata data-source can be used to trigger out-of-memory crashes in Grafana. |
| LTI JupyterHub Authenticator is a JupyterHub authenticator for LTI. Prior to version 1.6.3, the LTI 1.1 validator stores OAuth nonces in a class-level dictionary that grows without bounds. Nonces are added before signature validation, so an attacker with knowledge of a valid consumer key can send repeated requests with unique nonces to gradually exhaust server memory, causing a denial of service. This issue has been patched in version 1.6.3. |
| Allocation of resources without limits in the parsing components in Amazon Athena ODBC driver before 2.1.0.0 might allow a threat actor to cause a denial of service by delivering crafted input that triggers excessive resource consumption during the driver's parsing operations.
To remediate this issue, users should upgrade to version 2.1.0.0. |
| In the Linux kernel, the following vulnerability has been resolved:
drm/amdgpu: Limit BO list entry count to prevent resource exhaustion
Userspace can pass an arbitrary number of BO list entries via the
bo_number field. Although the previous multiplication overflow check
prevents out-of-bounds allocation, a large number of entries could still
cause excessive memory allocation (up to potentially gigabytes) and
unnecessarily long list processing times.
Introduce a hard limit of 128k entries per BO list, which is more than
sufficient for any realistic use case (e.g., a single list containing all
buffers in a large scene). This prevents memory exhaustion attacks and
ensures predictable performance.
Return -EINVAL if the requested entry count exceeds the limit
(cherry picked from commit 688b87d39e0aa8135105b40dc167d74b5ada5332) |
