An authenticated user can cause excessive CPU consumption or out-of-memory conditions on a MongoDB server by sending a crafted Queryable Encryption find payload containing an unvalidated field used to control an internal computation loop. The resulting resource exhaustion degrades availability for other operations.

An authenticated user can cause a {{mongod}} process to be terminated by the operating system under memory pressure by performing a specific data type conversion operation within MongoDB's aggregation framework. The behavior stems from disproportionate memory consumption during this operation, and requires both write access to the database and the ability to run aggregation queries.

When using $changestreams and $_requestReshardingResumeToken with the exchange option the server hits an invariant which causes the server to crash. There are no special privileges needed. The user must be logged in to issue the statement.

This issue can occur when running an aggregation pipeline that uses the internal $exchange stage configured with key-range partitioning and order-preserving delivery. If a single key range produces enough documents to fill its exchange buffer (that is, many results are routed to the same consumer), the server reaches the code path where a full per-consumer buffer is detected but the internal "high watermark" for that key range is not updated as intended.

An authenticated user can cause a MongoDB server to crash or return incorrect results by creating documents that interfere with internal metadata processing during query execution. This stems from insufficient separation between user-controlled document fields and internal metadata in certain execution paths.

An authorized user could trigger a server crash by running a query with a 2dsphere index on a field that stores a GeoJSON GeometryCollection containing a Polygon with a strict-winding CRS. Strict-winding polygons are intentionally unsupported for indexing, but the guard that rejects them does not inspect members of a GeometryCollection, allowing the unsafe path to be reached which ends with an ensuing null-pointer dereference.

During query planning when reading the sort pattern in raw BSONObj form, in some places we don’t explicitly handle the meta expression case. This may lead to incorrect transformations leading to invariant failure.

Adding fromRouter:true and runtimeConstants.userRoles could cause aggregations to crash mongodb server.

Computing the MD5 checksum of a malformed BSON object under specific conditions may cause loss of availability in MongoDB server. This issue affects all MongoDB Server v8.2 versions, all MongoDB Server v8.1 versions, MongoDB Server v8.0 versions prior to 8.0.21, MongoDB Server v7.0 versions prior to 7.0.32

In MongoDB Server 8.0, an aggregation stage can leave its _subPipeline field null during processing of certain pipelines. If a getMore is subsequently issued on the same cursor, the server may dereference this null sub-pipeline when reattaching to the operation context, accessing an invalid address and crashing the process. This issue allows an authenticated user who can run aggregation pipelines to cause a denial of service by issuing a specially crafted aggregation followed by getMore on affected versions.

The $_internalConvertBucketIndexStats stage used PauseExecution as a way to signal "skip this document" when an index stats conversion failed. But PauseExecution is not a general purpose skip mechanism, but rather a TeeBuffer-internal signal used solely by $facet to coordinate its sub-pipelines. When this stage is placed before $facet in a pipeline, TeeBuffer receives the unexpected PauseExecution from upstream and hits a hard invariant assertion, crashing mongod.

Using expressions that generate large arrays it is possible to craft a query that creates very large intermediate objects in memory, causing the server to crash with OOM error.

An authenticated user with basic write privileges can cause the mongod process to terminate abnormally by sending a crafted transaction command with an incomplete set of required fields. The issue stems from inconsistent validation across related transaction command parameters, resulting in a fatal internal invariant failure and denial of service.

Certain query operations involving deeply nested $jsonSchema constructs can trigger disproportionate CPU consumption in affected MongoDB deployments, potentially leading to resource exhaustion. The resulting CPU-bound operation cannot be interrupted through standard administrative controls.

A user with read-only privileges is able to craft an aggregation pipeline using the $linearFill window function operator with a specific sortBy expression type to cause the mongod process to terminate abnormally, resulting in denial of service. The issue stems from insufficient validation of sort specifications during execution.

An authenticated user with read access can cause the mongod process to be terminated through certain aggregation expressions that execute server-side JavaScript. The issue involves improper memory handling during document processing.

The `$_internalIndexKey` aggregation expression can be used by any authenticated user to crash a MongoDB server (mongod). The expression fails to handle compound wildcard index specifications, triggering an internal consistency check that aborts the server process. The user must be able to run an aggregation pipeline.

User-controlled chunkSize metadata from MongoDB lacks appropriate validation allowing malformed GridFS metadata to overflow the bounding container.

An unauthenticated remote client can cause excessive CPU consumption on a MongoDB server by sending a specific combination of parameters to the awaitable hello command in exhaust mode. The server's handling of this combination results in a response loop that bypasses normal throttling, allowing a small number of connections to degrade server availability.

Due to multiple time-of-check time-of-use race conditions in the resource count check and increment logic, as well as missing validations, users of the platform are able to exceed the allocation limits configured for their accounts/domains. This can be used by an attacker to degrade the infrastructure's resources and lead to denial of service conditions. Users are recommended to upgrade to Apache CloudStack versions 4.20.3.0 or 4.22.0.1, or later, which fixes this issue.

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. The outlines library is one of the backends used by vLLM to support structured output (a.k.a. guided decoding). Outlines provides an optional cache for its compiled grammars on the local filesystem. This cache has been on by default in vLLM. Outlines is also available by default through the OpenAI compatible API server. The affected code in vLLM is vllm/model_executor/guided_decoding/outlines_logits_processors.py, which unconditionally uses the cache from outlines. A malicious user can send a stream of very short decoding requests with unique schemas, resulting in an addition to the cache for each request. This can result in a Denial of Service if the filesystem runs out of space. Note that even if vLLM was configured to use a different backend by default, it is still possible to choose outlines on a per-request basis using the guided_decoding_backend key of the extra_body field of the request. This issue applies only to the V0 engine and is fixed in 0.8.0.

spdystream is a Go library for multiplexing streams over SPDY connections. In versions 0.5.0 and below, the SPDY/3 frame parser does not validate attacker-controlled counts and lengths before allocating memory. Three allocation paths are affected: the SETTINGS frame entry count, the header count in parseHeaderValueBlock, and individual header field sizes — all read as 32-bit integers and used directly as allocation sizes with no bounds checking. Because SPDY header blocks are zlib-compressed, a small on-the-wire payload can decompress into large attacker-controlled values. A remote peer that can send SPDY frames to a service using spdystream can exhaust process memory and cause an out-of-memory crash with a single crafted control frame. This issue has been fixed in version 0.5.1.

A vulnerability has been identified in SIMATIC RTLS Locating Manager (6GT2780-0DA00) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA10) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA20) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA30) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA10) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA20) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA30) (All versions < V3.0.1.1). The affected application does not properly limit the size of specific logs. This could allow an unauthenticated remote attacker to exhaust system resources by creating a great number of log entries which could potentially lead to a denial of service condition. A successful exploitation requires the attacker to have access to specific SIMATIC RTLS Locating Manager Clients in the deployment.

An allocation of resources without limits or throttling vulnerability has been reported to affect File Station 5. If a remote attacker gains a user account, they can then exploit the vulnerability to prevent other systems, applications, or processes from accessing the same type of resource. We have already fixed the vulnerability in the following version: File Station 5 5.5.6.4847 and later

Wings is the server control plane for Pterodactyl, a free, open-source game server management panel. Prior to version 1.12.0, websockets within wings lack proper rate limiting and throttling. As a result a malicious user can open a large number of connections and then request data through these sockets, causing an excessive volume of data over the network and overloading the host system memory and cpu. Additionally, there is not a limit applied to the total size of messages being sent or received, allowing a malicious user to open thousands of websocket connections and then send massive volumes of information over the socket, overloading the host network, and causing increased CPU and memory load within Wings. Version 1.12.0 patches the issue.

Cyrus IMAP before 3.8.3 and 3.10.x before 3.10.0-rc1 allows authenticated attackers to cause unbounded memory allocation by sending many LITERALs in a single command.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to a denial of service as the server may crash when using a specially crafted query on certain columnar tables by an authenticated user. IBM X-Force ID: 287613.

Synapse is an open-source Matrix homeserver. A remote Matrix user with malicious intent, sharing a room with Synapse instances before 1.105.1, can dispatch specially crafted events to exploit a weakness in the V2 state resolution algorithm. This can induce high CPU consumption and accumulate excessive data in the database of such instances, resulting in a denial of service. Servers in private federations, or those that do not federate, are not affected. Server administrators should upgrade to 1.105.1 or later. Some workarounds are available. One can ban the malicious users or ACL block servers from the rooms and/or leave the room and purge the room using the admin API.

Mattermost Server versions 9.5.x before 9.5.2, 9.4.x before 9.4.4, 9.3.x before 9.3.3, 8.1.x before 8.1.11 don't limit the number of user preferences which allows an attacker to send a large number of user preferences potentially causing denial of service.

Using a densely populated chars mask and a large input string in the MongoDB aggregation operators $trim, $ltrim, and $rtrim, an authenticated user with aggregation permissions can pin CPU utilization at 100% for an extended period of time. This issue impacts MongoDB Server v7.0 versions prior to 7.0.34, v8.0 versions prior to 8.0.23, v8.2 versions prior to 8.2.9 and v8.3 versions prior to 8.3.2.

An issue has been discovered in GitLab CE/EE affecting all versions before 16.8.5, all versions starting from 16.9 before 16.9.3, all versions starting from 16.10 before 16.10.1. It was possible for an attacker to cause a denial of service using malicious crafted description parameter for labels.

An issue has been discovered in GitLab CE/EE affecting all versions before 16.10.6, version 16.11 before 16.11.3, and 17.0 before 17.0.1. A runner registered with a crafted description has the potential to disrupt the loading of targeted GitLab web resources.

Resource Exhaustion in Mattermost Server versions 8.1.x before 8.1.10 fails to limit the size of the payload that can be read and parsed allowing an attacker to send a very large email payload and crash the server.

Discourse is an open source discussion platform. In versions prior to 3.5.4, 2025.11.2, 2025.12.1, and 2026.1.0, authenticated users can submit crafted payloads to /drafts.json that cause O(n^2) processing in Base62.decode, tying up workers for 35-60 seconds per request. This affects all users as the shared worker pool becomes exhausted. This issue is patched in versions 3.5.4, 2025.11.2, 2025.12.1, and 2026.1.0. Lowering the max_draft_length site setting reduces attack surface but does not fully mitigate the issue, as payloads under the limit can still trigger the slow code path.

The Document and Media widget In Liferay Portal 7.2.0 through 7.3.6, and older unsupported versions, and Liferay DXP 7.3 before service pack 3, 7.2 before fix pack 13, and older unsupported versions, does not limit resource consumption when generating a preview image, which allows remote authenticated users to cause a denial of service (memory consumption) via crafted PNG images.

The Image Uploader module in Liferay Portal 7.2.0 through 7.4.3.15, and older unsupported versions, and Liferay DXP 7.4 before update 16, 7.3 before update 4, 7.2 before fix pack 19, and older unsupported versions relies on a request parameter to limit the size of files that can be uploaded, which allows remote authenticated users to upload arbitrarily large files to the system's temp folder by modifying the `maxFileSize` parameter.

Bref enable serverless PHP on AWS Lambda. When Bref is used with the Event-Driven Function runtime and the handler is a `RequestHandlerInterface`, then the Lambda event is converted to a PSR7 object. During the conversion process, if the request is a MultiPart, each part is parsed and for each which contains a file, it is extracted and saved in `/tmp` with a random filename starting with `bref_upload_`. The flow mimics what plain PHP does but it does not delete the temporary files when the request has been processed. An attacker could fill the Lambda instance disk by performing multiple MultiPart requests containing files. This vulnerability is patched in 2.1.13.

An issue has been discovered in GitLab CE/EE affecting all versions starting from 15.11 prior to 16.9.7, starting from 16.10 prior to 16.10.5, and starting from 16.11 prior to 16.11.2. The pins endpoint is susceptible to DoS through a crafted request.

OpenFGA, an authorization/permission engine, is vulnerable to a denial of service attack in versions prior to 1.4.3. In some scenarios that depend on the model and tuples used, a call to `ListObjects` may not release memory properly. So when a sufficiently high number of those calls are executed, the OpenFGA server can create an `out of memory` error and terminate. Version 1.4.3 contains a patch for this issue.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to a denial of service, under specific configurations, as the server may crash when using a specially crafted SQL statement by an authenticated user.

Discourse is an open-source discussion platform. Prior to version 3.1.1 of the `stable` branch and version 3.2.0.beta1 of the `beta` and `tests-passed` branches, a malicious user can create an unlimited number of drafts with very long draft keys which may end up exhausting the resources on the server. The issue is patched in version 3.1.1 of the `stable` branch and version 3.2.0.beta1 of the `beta` and `tests-passed` branches. There are no known workarounds.

Allocation of Resources Without Limits or Throttling (CWE-770) in Elasticsearch can allow a low-privileged authenticated user to cause Excessive Allocation (CAPEC-130) causing a persistent denial of service (OOM crash) via submission of oversized user settings data.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can allow a low-privileged authenticated user to cause Excessive Allocation (CAPEC-130) of computing resources and a denial of service (DoS) of the Kibana process via a crafted HTTP request.

Some HTTP/2 implementations are vulnerable to a header leak, potentially leading to a denial of service. The attacker sends a stream of headers with a 0-length header name and 0-length header value, optionally Huffman encoded into 1-byte or greater headers. Some implementations allocate memory for these headers and keep the allocation alive until the session dies. This can consume excess memory.

OpenClaw versions before 2026.6.1 contain a denial of service vulnerability where remote media URLs can trigger slow-read attacks that exhaust gateway worker resources. Attackers with access to configured input paths can supply remote media URLs that consume gateway resources and reduce availability.

An issue was discovered in GitLab CE/EE affecting all versions before 17.7.7, 17.8 prior to 17.8.5, and 17.9 prior to 17.9.2. where a denial of service vulnerability could allow an attacker to cause a system reboot under certain conditions.

In Aris v10.0.23.0.3587512 and before, the file upload functionality does not enforce any rate limiting or throttling, allowing users to upload files at an unrestricted rate. An attacker can exploit this behavior to rapidly upload a large volume of files, potentially leading to resource exhaustion such as disk space depletion, increased server load, or degraded performance

Centova Cast 3.2.12 contains a denial of service vulnerability that allows attackers to overwhelm the system by repeatedly calling the database export API endpoint. Attackers can trigger 100% CPU load by sending multiple concurrent requests to the /api.php endpoint with crafted parameters.

GitLab 12.2.3 contains a security vulnerability that allows a user to affect the availability of the service through a Denial of Service attack in Issue Comments.

Authlib is a Python library which builds OAuth and OpenID Connect servers. Prior to version 1.6.5, Authlib’s JWE zip=DEF path performs unbounded DEFLATE decompression. A very small ciphertext can expand into tens or hundreds of megabytes on decrypt, allowing an attacker who can supply decryptable tokens to exhaust memory and CPU and cause denial of service. This issue has been patched in version 1.6.5. Workarounds for this issue involve rejecting or stripping zip=DEF for inbound JWEs at the application boundary, forking and add a bounded decompression guard via decompressobj().decompress(data, MAX_SIZE)) and returning an error when output exceeds a safe limit, or enforcing strict maximum token sizes and fail fast on oversized inputs; combine with rate limiting.