| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| An attacker can create a large number of concurrent DoQ or DoH3 connections, causing unlimited memory allocation in DNSdist and leading to a denial of service. DOQ and DoH3 are disabled by default. |
| Vault is vulnerable to a denial-of-service condition where an unauthenticated attacker can repeatedly initiate or cancel root token generation or rekey operations, occupying the single in-progress operation slot. This prevents legitimate operators from completing these workflows. This vulnerability, CVE-2026-5807, is fixed in Vault Community Edition 2.0.0 and Vault Enterprise 2.0.0. |
| Vulnerability in the Oracle Java SE, Oracle GraalVM for JDK, Oracle GraalVM Enterprise Edition product of Oracle Java SE (component: Libraries). Supported versions that are affected are Oracle Java SE: 8u481, 8u481-b50, 8u481-perf, 11.0.30, 17.0.18, 21.0.10, 25.0.2, 26; Oracle GraalVM for JDK: 17.0.18 and 21.0.10; Oracle GraalVM Enterprise Edition: 21.3.17. Difficult to exploit vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise Oracle Java SE, Oracle GraalVM for JDK, Oracle GraalVM Enterprise Edition. Successful attacks of this vulnerability can result in unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Java SE, Oracle GraalVM for JDK, Oracle GraalVM Enterprise Edition. Note: This vulnerability can be exploited by using APIs in the specified Component, e.g., through a web service which supplies data to the APIs. This vulnerability also applies to Java deployments, typically in clients running sandboxed Java Web Start applications or sandboxed Java applets, that load and run untrusted code (e.g., code that comes from the internet) and rely on the Java sandbox for security. CVSS 3.1 Base Score 3.7 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L). |
| 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. |
| Mattermost Plugins versions <=2.3.1 fail to limit the request body size on the {{/lifecycle}} 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-2026-00610 |
| A client can trigger excessive memory allocation by generating a lot of errors responses over a single DoQ and DoH3 connection, as some resources were not properly released until the end of the connection. |
| In the Linux kernel, the following vulnerability has been resolved:
apparmor: fix: limit the number of levels of policy namespaces
Currently the number of policy namespaces is not bounded relying on
the user namespace limit. However policy namespaces aren't strictly
tied to user namespaces and it is possible to create them and nest
them arbitrarily deep which can be used to exhaust system resource.
Hard cap policy namespaces to the same depth as user namespaces. |
| In the Linux kernel, the following vulnerability has been resolved:
apparmor: replace recursive profile removal with iterative approach
The profile removal code uses recursion when removing nested profiles,
which can lead to kernel stack exhaustion and system crashes.
Reproducer:
$ pf='a'; for ((i=0; i<1024; i++)); do
echo -e "profile $pf { \n }" | apparmor_parser -K -a;
pf="$pf//x";
done
$ echo -n a > /sys/kernel/security/apparmor/.remove
Replace the recursive __aa_profile_list_release() approach with an
iterative approach in __remove_profile(). The function repeatedly
finds and removes leaf profiles until the entire subtree is removed,
maintaining the same removal semantic without recursion. |
| A client can trigger excessive memory allocation by generating a lot of queries that are routed to an overloaded DoH backend, causing queries to accumulate into a buffer that will not be released until the end of the connection. |
| libp2p-rust is the official rust language Implementation of the libp2p networking stack. Prior to 0.17.1, libp2p-rendezvous server has no limit on how many namespaces a single peer can register. A malicious peer can just keep registering unique namespaces in a loop and the server happily accepts every single one allocating memory for each registration with no pushback. Keep doing this long enough (or with multiple sybil peers) and the server process gets OOM killed. This vulnerability is fixed in 0.17.1. |
| libp2p-rust is the official rust language Implementation of the libp2p networking stack. Prior to 0.17.1, the rendezvous server stores pagination cookies without bounds. An unauthenticated peer can repeatedly issue DISCOVER requests and force unbounded memory growth. This vulnerability is fixed in 0.17.1. |
| Rack is a modular Ruby web server interface. From versions 3.0.0.beta1 to before 3.1.21, and 3.2.0 to before 3.2.6, Rack::Multipart::Parser#handle_mime_head parses quoted multipart parameters such as Content-Disposition: form-data; name="..." using repeated String#index searches combined with String#slice! prefix deletion. For escape-heavy quoted values, this causes super-linear processing. An unauthenticated attacker can send a crafted multipart/form-data request containing many parts with long backslash-escaped parameter values to trigger excessive CPU usage during multipart parsing. This results in a denial of service condition in Rack applications that accept multipart form data. This issue has been patched in versions 3.1.21 and 3.2.6. |
| 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 resample query can be used to trigger out-of-memory crashes in Grafana. |
| A testdata data-source can be used to trigger out-of-memory crashes in Grafana. |
| GitLab has remediated an issue in GitLab CE/EE affecting all versions from 10.6 before 18.9.6, 18.10 before 18.10.4, and 18.11 before 18.11.1 that could have allowed an authenticated user to cause denial of service under certain conditions by exhausting server resources by making crafted requests to a discussions endpoint. |
| GitLab has remediated an issue in GitLab CE/EE affecting all versions from 12.4 before 18.9.6, 18.10 before 18.10.4, and 18.11 before 18.11.1 that could have allowed an authenticated user to cause denial of service by overwhelming system resources under certain conditions due to insufficient resource allocation limits in the GraphQL API. |
| GitLab has remediated an issue in GitLab CE/EE affecting all versions from 9.2 before 18.9.6, 18.10 before 18.10.4, and 18.11 before 18.11.1 that could have allowed an authenticated user to cause denial of service due to insufficient resource allocation limits when retrieving notes under certain conditions. |
| GitLab has remediated an issue in GitLab CE/EE affecting all versions from 12.3 before 18.9.6, 18.10 before 18.10.4, and 18.11 before 18.11.1 that under certain conditions could have allowed an authenticated user to cause denial of service when importing issues due to improper input validation. |
| Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: JSON). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H). |
