| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user with low-level privileges could submit a specially crafted request that causes Kibana to consume an unbounded amount of memory, rendering it unavailable to all users. |
| A vulnerability was found in NousResearch hermes-agent 0.18.0. This vulnerability affects the function resourceBufferFromUrl of the file apps/desktop/electron/main.ts of the component Electron Main Process. Performing a manipulation results in allocation of resources. The attack may be initiated remotely. copyImageFromUrl() entry point no longer reachable on current main. That function did exist at v2026.8.3 but was removed by v2026.8.19. The modern copy-image path is Electron-native event.sender.copyImageAt(). |
| Prometheus is an open-source monitoring system and time series database. Prior to versions 3.5.3 and 3.11.3, the remote read endpoint (/api/v1/read) does not validate the declared decoded length in a snappy-compressed request body before allocating memory. An unauthenticated attacker can send a small payload that causes a huge heap allocation per request. Under concurrent load this can exhaust available memory and crash the Prometheus process. This issue has been patched in versions 3.5.3 and 3.11.3. |
| Boruta is a standalone authorization server that aims to implement OAuth 2.0 and Openid Connect up to decentralized identity specifications. Prior to version 0.10.0, BorutaIdentityWeb.UserSettingsController.update/2 atomizes every key of the user-supplied request body via String.to_atom/1 before any validation. Because String.to_atom interns atoms permanently in the BEAM atom table (default cap 1,048,576 atoms; ERL_MAX_ATOMS), any authenticated end user can send PUT /users/settings with a user[<fresh-key>]=... body containing fresh keys per request and exhaust the global VM atom table. Once the table is full, the BEAM aborts with no more index entries in atom_tab and the entire OIDC server (auth, admin, gateway apps in the umbrella) crashes. The route is protected only by require_authenticated_user and a per-IP rate limit of 10 requests/second; a logged-in end user can hit it. The keys are atomized unconditionally before the downstream Accounts.update_user/6 call, so even failing updates contribute to exhaustion. This issue has been patched in version 0.10.0. |
| No description is available for this CVE. |
| A Spring WebFlux application that relies on the Aalto XML processor to parse XML input does not correctly enforce the maxInMemorySize limit.
Spring Framework 7.0.0 - 7.0.8
Spring Framework 6.2.0 - 6.2.19
Spring Framework 6.1.0 - 6.1.28
Spring Framework 6.0.0 - 6.0.30
Spring Framework 5.3.0 - 5.3.49
Spring Framework 5.2.25.RELEASE and earlier |
| Spring for GraphQL's Spring Data pagination support resolves arguments of a scrollable query and forwards the client-supplied values to the underlying repository. An attacker can forge a malicious query for a Connection field that can exhaust application memory or place significant, prolonged load on the underlying datastore, resulting in a Denial of Service.
Spring for GraphQL 2.0.0 - 2.0.4
Spring for GraphQL 1.4.0 - 1.4.6
Spring for GraphQL 1.2.0 - 1.3.9 |
| Spring for GraphQL is vulnerable to Denial of Service attacks when using the WebSocket client with keepAlive enabled.
Spring for GraphQL 2.0.0 - 2.0.4
Spring for GraphQL 1.4.0 - 1.4.6
Spring for GraphQL 1.3.0 - 1.3.9 |
| pypdf is a free and open-source pure-python PDF library. Prior to 6.16.1, an attacker can craft a PDF that causes pypdf/_page.py PageObject._extract_text and PageObject.extract_xform_text to traverse a directed acyclic graph of reused form XObjects in which each form invokes a child multiple times, creating exponentially many traversal paths and causing long runtimes and large memory consumption. This issue is fixed in version 6.16.1. |
| The vulnerability occurs when a client sends HTTP/1.1 pipelined requests over a single connection, causing the Reactor Netty HTTP server to consume an excessive amount of memory.
Reactor Netty 1.3.0 - 1.3.6
Reactor Netty 1.1.0 - 1.2.18
Reactor Netty 1.0.52 and earlier |
| @fastify/multipart is a multipart form-data parser for Fastify. In versions from 3.0.0 up to but not including 10.1.1, request.saveRequestFiles() can leave completed temporary files on disk when a client disconnects while the parser is advancing between multipart parts. The iterator rejection that occurs between parts falls outside the per-file cleanup path, so an earlier completed file is never removed. An unauthenticated client can repeat this to cause persistent, linear disk consumption, leading to denial of service. This is an incomplete-fix variant of CVE-2025-24033. The issue is fixed in @fastify/multipart 10.1.1. Users should upgrade to 10.1.1. |
| In Bouncy Castle for Java before 1.85, BCFKS keystore load honours unbounded KDF cost from untrusted file. This issue also affects Bouncy Castle for Java LTS before 2.73.12, and Bouncy Castle for Java FIPS (BC-FJA) before bc-fips 1.0.2.7 (1.0.X series), 2.0.2 (2.0.X series) and 2.1.3 (2.1.X series). |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user holding only low, read-level Agent Builder privileges could submit a specially crafted request that causes Kibana to consume an unbounded amount of memory, terminating the process and denying service to all users of the instance. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user can submit a specially crafted request that causes excessive resource consumption, which may render Kibana unavailable. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A specially crafted, malformed payload submitted to a Kibana visualization feature by an authenticated user holding only low-privileged access is not correctly validated before use. Processing the request causes unbounded memory growth in the Kibana process, which is terminated by the host once available memory is exhausted. Kibana then becomes unavailable to all users until the service is restarted. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user who is authorized to manage maintenance windows could submit a specially crafted, malformed payload that causes the Kibana process to consume excessive resources. Kibana becomes unresponsive for all users and does not recover without manual intervention. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with read-only privileges to the alerting feature could submit a specially crafted, malformed payload that causes the Kibana process to consume excessive resources. A single request is sufficient to leave Kibana unable to serve requests for all users until the process is restarted. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A query expression accepted by a connector reporting operation was processed without any limit on its size, and an oversized expression caused the Kibana process to spend an unbounded amount of time evaluating it. An authenticated user with read-only privileges was able to send a single request that left Kibana unable to serve any user until the process was restarted. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). A specially crafted request submitted by an authenticated user with minimal privileges to a validation capability of the Observability log analysis feature causes Kibana to perform an unbounded amount of concurrent work. This can exhaust the memory available to the Kibana process and make Kibana unavailable to all users until it is restarted. The severity of the outcome depends on the resources allocated to the deployment; on well-provisioned deployments a single request may cause degraded performance and elevated memory pressure rather than a full outage, but the request is inexpensive to repeat. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user with low-level permissions could submit a specially crafted request that causes excessive resource consumption, which may render Kibana unavailable. |
