containerd is an open source container runtime. A bug was found in containerd's CRI implementation where a user can exhaust memory on the host. In the CRI stream server, a goroutine is launched to handle terminal resize events if a TTY is requested. If the user's process fails to launch due to, for example, a faulty command, the goroutine will be stuck waiting to send without a receiver, resulting in a memory leak. Kubernetes and crictl can both be configured to use containerd's CRI implementation and the stream server is used for handling container IO. This bug has been fixed in containerd 1.6.12 and 1.5.16. Users should update to these versions to resolve the issue. Users unable to upgrade should ensure that only trusted images and commands are used and that only trusted users have permissions to execute commands in running containers.

KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge. Prior to versions 1.11.1, 1.10.2, and 1.9.4, a large response received by the viaduct WSClient can cause a DoS from memory exhaustion. The entire body of the response is being read into memory which could allow an attacker to send a request that returns a response with a large body. The consequence of the exhaustion is that the process which invokes a WSClient will be in a denial of service. The software is affected If users who are authenticated to the edge side connect to `cloudhub` from the edge side through WebSocket protocol. This bug has been fixed in Kubeedge 1.11.1, 1.10.2, and 1.9.4. There are currently no known workarounds.

KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge. Prior to versions 1.11.1, 1.10.2, and 1.9.4, EdgeCore may be susceptible to a DoS attack on CloudHub if an attacker was to send a well-crafted HTTP request to `/edge.crt`. If an attacker can send a well-crafted HTTP request to CloudHub, and that request has a very large body, that request can crash the HTTP service through a memory exhaustion vector. The request body is being read into memory, and a body that is larger than the available memory can lead to a successful attack. Because the request would have to make it through authorization, only authorized users may perform this attack. The consequence of the exhaustion is that CloudHub will be in denial of service. KubeEdge is affected only when users enable the CloudHub module in the file `cloudcore.yaml`. This bug has been fixed in Kubeedge 1.11.1, 1.10.2, and 1.9.4. As a workaround, disable the CloudHub switch in the config file `cloudcore.yaml`.

KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge. Prior to versions 1.11.1, 1.10.2, and 1.9.4, several endpoints in the Cloud AdmissionController may be susceptible to a DoS attack if an HTTP request containing a very large Body is sent to it. The consequence of the exhaustion is that the Cloud AdmissionController will be in denial of service. This bug has been fixed in Kubeedge 1.11.1, 1.10.2, and 1.9.4. There is currently no known workaround.

KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge. Prior to versions 1.11.1, 1.10.2, and 1.9.4, the Cloud Stream server and the Edge Stream server reads the entire message into memory without imposing a limit on the size of this message. An attacker can exploit this by sending a large message to exhaust memory and cause a DoS. The Cloud Stream server and the Edge Stream server are under DoS attack in this case. The consequence of the exhaustion is that the CloudCore and EdgeCore will be in a denial of service. Only an authenticated user can cause this issue. It will be affected only when users enable `cloudStream` module in the config file `cloudcore.yaml` and enable `edgeStream` module in the config file `edgecore.yaml`. This bug has been fixed in Kubeedge 1.11.1, 1.10.2, and 1.9.4. As a workaround, disable cloudStream module in the config file `cloudcore.yaml` and disable edgeStream module in the config file `edgecore.yaml`.

Hyperledger Besu is an open-source, MainNet compatible, Ethereum client written in Java. In Besu before version 1.5.1 there is a denial-of-service vulnerability involving the HTTP JSON-RPC API service. If username and password authentication is enabled for the HTTP JSON-RPC API service, then prior to making any requests to an API endpoint the requestor must use the login endpoint to obtain a JSON web token (JWT) using their credentials. A single user can readily overload the login endpoint with invalid requests (incorrect password). As the supplied password is checked for validity on the main vertx event loop and takes a relatively long time this can cause the processing of other valid requests to fail. A valid username is required for this vulnerability to be exposed. This has been fixed in version 1.5.1.

CubeFS is an open-source cloud-native file storage system. A security vulnerability was found in CubeFS HandlerNode in versions prior to 3.3.1 that could allow authenticated users to send maliciously-crafted requests that would crash the ObjectNode and deny other users from using it. The root cause was improper handling of incoming HTTP requests that could allow an attacker to control the ammount of memory that the ObjectNode would allocate. A malicious request could make the ObjectNode allocate more memory that the machine had available, and the attacker could exhaust memory by way of a single malicious request. An attacker would need to be authenticated in order to invoke the vulnerable code with their malicious request and have permissions to delete objects. In addition, the attacker would need to know the names of existing buckets of the CubeFS deployment - otherwise the request would be rejected before it reached the vulnerable code. As such, the most likely attacker is an inside user or an attacker that has breached the account of an existing user in the cluster. The issue has been patched in v3.3.1. There is no other mitigation besides upgrading.

Backstage is an open framework for building developer portals. A malicious actor with authenticated access to a Backstage instance with the catalog backend plugin installed is able to interrupt the service using a specially crafted query to the catalog API. This has been fixed in the `1.26.0` release of the `@backstage/plugin-catalog-backend`. All users are advised to upgrade. There are no known workarounds for this vulnerability.

KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. In affected versions a malicious message response from KubeEdge can crash the CSI Driver controller server by triggering a nil-pointer dereference panic. As a consequence, the CSI Driver controller will be in denial of service. This bug has been fixed in Kubeedge 1.11.0, 1.10.1, and 1.9.3. Users should update to these versions to resolve the issue. At the time of writing, no workaround exists.

containerd is an open source container runtime. A bug was found in the containerd's CRI implementation where programs inside a container can cause the containerd daemon to consume memory without bound during invocation of the `ExecSync` API. This can cause containerd to consume all available memory on the computer, denying service to other legitimate workloads. Kubernetes and crictl can both be configured to use containerd's CRI implementation; `ExecSync` may be used when running probes or when executing processes via an "exec" facility. This bug has been fixed in containerd 1.6.6 and 1.5.13. Users should update to these versions to resolve the issue. Users unable to upgrade should ensure that only trusted images and commands are used.

TUF (aka The Update Framework) 0.7.2 through 0.12.1 allows Uncontrolled Resource Consumption.

indy-node is the server portion of Hyperledger Indy, a distributed ledger purpose-built for decentralized identity. In vulnerable versions of indy-node, an attacker can max out the number of client connections allowed by the ledger, leaving the ledger unable to be used for its intended purpose. However, the ledger content will not be impacted and the ledger will resume functioning after the attack. This attack exploits the trade-off between resilience and availability. Any protection against abusive client connections will also prevent the network being accessed by certain legitimate users. As a result, validator nodes must tune their firewall rules to ensure the right trade-off for their network's expected users. The guidance to network operators for the use of firewall rules in the deployment of Indy networks has been modified to better protect against denial of service attacks by increasing the cost and complexity in mounting such attacks. The mitigation for this vulnerability is not in the Hyperledger Indy code per se, but rather in the individual deployments of Indy. The mitigations should be applied to all deployments of Indy, and are not related to a particular release.

As noted in the “VTPM.md” file in the eve documentation, “VTPM is a server listening on port 8877 in EVE, exposing limited functionality of the TPM to the clients. VTPM allows clients to execute tpm2-tools binaries from a list of hardcoded options” The communication with this server is done using protobuf, and the data is comprised of 2 parts: 1. Header 2. Data When a connection is made, the server is waiting for 4 bytes of data, which will be the header, and these 4 bytes would be parsed as uint32 size of the actual data to come. Then, in the function “handleRequest” this size is then used in order to allocate a payload on the stack for the incoming data. As this payload is allocated on the stack, this will allow overflowing the stack size allocated for the relevant process with freely controlled data. * An attacker can crash the system. * An attacker can gain control over the system, specifically on the “vtpm_server” process which has very high privileges.

containerd is an open source container runtime. Before versions 1.6.18 and 1.5.18, when importing an OCI image, there was no limit on the number of bytes read for certain files. A maliciously crafted image with a large file where a limit was not applied could cause a denial of service. This bug has been fixed in containerd 1.6.18 and 1.5.18. Users should update to these versions to resolve the issue. As a workaround, ensure that only trusted images are used and that only trusted users have permissions to import images.

In Indy Node 1.12.2, there is an Uncontrolled Resource Consumption vulnerability. Indy Node has a bug in TAA handling code. The current primary can be crashed with a malformed transaction from a client, which leads to a view change. Repeated rapid view changes have the potential of bringing down the network. This is fixed in version 1.12.3.

Rekor is an open source software supply chain transparency log. Rekor prior to version 1.1.1 may crash due to out of memory (OOM) conditions caused by reading archive metadata files into memory without checking their sizes first. Verification of a JAR file submitted to Rekor can cause an out of memory crash if files within the META-INF directory of the JAR are sufficiently large. Parsing of an APK file submitted to Rekor can cause an out of memory crash if the .SIGN or .PKGINFO files within the APK are sufficiently large. The OOM crash has been patched in Rekor version 1.1.1. There are no known workarounds.

opentelemetry-go-contrib is a collection of extensions for OpenTelemetry-Go. The v0.38.0 release of `go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp` uses the `httpconv.ServerRequest` function to annotate metric measurements for the `http.server.request_content_length`, `http.server.response_content_length`, and `http.server.duration` instruments. The `ServerRequest` function sets the `http.target` attribute value to be the whole request URI (including the query string)[^1]. The metric instruments do not "forget" previous measurement attributes when `cumulative` temporality is used, this means the cardinality of the measurements allocated is directly correlated with the unique URIs handled. If the query string is constantly random, this will result in a constant increase in memory allocation that can be used in a denial-of-service attack. This issue has been addressed in version 0.39.0. Users are advised to upgrade. There are no known workarounds for this issue.

KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge. Prior to versions 1.11.1, 1.10.2, and 1.9.4, the ServiceBus server on the edge side may be susceptible to a DoS attack if an HTTP request containing a very large Body is sent to it. It is possible for the node to be exhausted of memory. The consequence of the exhaustion is that other services on the node, e.g. other containers, will be unable to allocate memory and thus causing a denial of service. Malicious apps accidentally pulled by users on the host and have the access to send HTTP requests to localhost may make an attack. It will be affected only when users enable the `ServiceBus` module in the config file `edgecore.yaml`. This bug has been fixed in Kubeedge 1.11.1, 1.10.2, and 1.9.4. As a workaround, disable the `ServiceBus` module in the config file `edgecore.yaml`.

A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a Denial of Service (DoS).

An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation.

An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.

MaterialX is an open standard for the exchange of rich material and look-development content across applications and renderers. In version 1.39.2, nested imports of MaterialX files can lead to a crash via stack memory exhaustion, due to the lack of a limit on the "import chain" depth. When parsing file imports, recursion is used to process nested files; however, there is no limit imposed to the depth of files that can be parsed by the library. By building a sufficiently deep chain of MaterialX files one referencing the next, it is possible to crash the process using the MaterialX library via stack exhaustion. This is fixed in version 1.39.3.

LengthPrefixedMessageReader in gRPC Swift 1.1.0 and earlier allocates buffers of arbitrary length, which allows remote attackers to cause uncontrolled resource consumption and deny service.

Nextcloud server is an open source personal cloud server. Affected versions of nextcloud server did not properly limit user display names which could allow a malicious users to overload the backing database and cause a denial of service. It is recommended that the Nextcloud Server is upgraded to 22.2.10, 23.0.7 or 24.0.3. There are no known workarounds for this issue.

A denial of service (DoS) vulnerability was found in OpenShift. This flaw allows attackers to exploit the GraphQL batching functionality. The vulnerability arises when multiple queries can be sent within a single request, enabling an attacker to submit a request containing thousands of aliases in one query. This issue causes excessive resource consumption, leading to application unavailability for legitimate users.

Those using Jettison to parse untrusted XML or JSON data may be vulnerable to Denial of Service attacks (DOS). If the parser is running on user supplied input, an attacker may supply content that causes the parser to crash by Out of memory. This effect may support a denial of service attack.

A denial-of-service vulnerability could allow an authenticated user to trigger an internal service restart via a specially crafted API request.

A vulnerability in the REST API of Cisco Managed Services Accelerator (MSX) could allow an authenticated, remote attacker to cause a denial of service (DoS) condition on an affected device. The vulnerability is due to the way that the affected software logs certain API requests. An attacker could exploit this vulnerability by sending a flood of crafted API requests to an affected device. A successful exploit could allow the attacker to cause a DoS condition on the affected device.

A denial-of-service vulnerability in the Mattermost Playbooks plugin allows an authenticated user to crash the server via multiple large requests to one of the Playbooks API endpoints.

cmark-gfm is GitHub's fork of cmark, a CommonMark parsing and rendering library and program in C. In versions prior to 0.29.0.gfm.6 a polynomial time complexity issue in cmark-gfm's autolink extension may lead to unbounded resource exhaustion and subsequent denial of service. Users may verify the patch by running `python3 -c 'print("![l"* 100000 + "\n")' | ./cmark-gfm -e autolink`, which will resource exhaust on unpatched cmark-gfm but render correctly on patched cmark-gfm. This vulnerability has been patched in 0.29.0.gfm.6. Users are advised to upgrade. Users unable to upgrade should disable the use of the autolink extension.

Synapse is an open-source Matrix homeserver written and maintained by the Matrix.org Foundation. If Synapse and a malicious homeserver are both joined to the same room, the malicious homeserver can trick Synapse into accepting previously rejected events into its view of the current state of that room. This can be exploited in a way that causes all further messages and state changes sent in that room from the vulnerable homeserver to be rejected. This issue has been patched in version 1.68.0

An Allocation of Resources Without Limits or Throttling vulnerability in the PFE management daemon (evo-pfemand) of Juniper Networks Junos OS Evolved allows an authenticated, network-based attacker to cause an FPC crash leading to a Denial of Service (DoS).When specific SNMP GET operations or specific low-priviledged CLI commands are executed, a GUID resource leak will occur, eventually leading to exhaustion and resulting in FPCs to hang. Affected FPCs need to be manually restarted to recover. GUID exhaustion will trigger a syslog message like one of the following: evo-pfemand[<pid>]: get_next_guid: Ran out of Guid Space ... evo-aftmand-zx[<pid>]: get_next_guid: Ran out of Guid Space ... The leak can be monitored by running the following command and taking note of the values in the rightmost column labeled Guids: user@host> show platform application-info allocations app evo-pfemand/evo-pfemand In case one or more of these values are constantly increasing the leak is happening. This issue affects Junos OS Evolved: * All versions before 21.4R2-EVO, * 22.1 versions before 22.1R2-EVO. Please note that this issue is similar to, but different from CVE-2024-47505 and CVE-2024-47508.

In Varnish Cache 7.0.0, 7.0.1, 7.0.2, and 7.1.0, it is possible to cause the Varnish Server to assert and automatically restart through forged HTTP/1 backend responses. An attack uses a crafted reason phrase of the backend response status line. This is fixed in 7.0.3 and 7.1.1.

A vulnerability in filesystem usage management for Cisco Firepower Device Manager (FDM) Software could allow an authenticated, remote attacker to exhaust filesystem resources, resulting in a denial of service (DoS) condition on an affected device. This vulnerability is due to the insufficient management of available filesystem resources. An attacker could exploit this vulnerability by uploading files to the device and exhausting available filesystem resources. A successful exploit could allow the attacker to cause database errors and cause the device to become unresponsive to web-based management. Manual intervention is required to free filesystem resources and return the device to an operational state.

Foundry Artifacts was found to be vulnerable to a Denial Of Service attack due to disk being potentially filled up based on an user supplied argument (size).

A Denial of Service (DoS) condition has been discovered in GitLab CE/EE affecting all versions starting with 12.6 before 17.0.6, 17.1 prior to 17.1.4, and 17.2 prior to 17.2.2. It is possible for an attacker to cause a denial of service using crafted adoc files.

An Allocation of Resources Without Limits or Throttling vulnerability in the PFE management daemon (evo-pfemand) of Juniper Networks Junos OS Evolved allows an authenticated, network-based attacker to cause an FPC crash leading to a Denial of Service (DoS).When specific SNMP GET operations or specific low-priviledged CLI commands are executed, a GUID resource leak will occur, eventually leading to exhaustion and resulting in FPCs to hang. Affected FPCs need to be manually restarted to recover. GUID exhaustion will trigger a syslog message like one of the following: evo-pfemand[<pid>]: get_next_guid: Ran out of Guid Space ... evo-aftmand-zx[<pid>]: get_next_guid: Ran out of Guid Space ... The leak can be monitored by running the following command and taking note of the values in the rightmost column labeled Guids: user@host> show platform application-info allocations app evo-pfemand/evo-pfemand In case one or more of these values are constantly increasing the leak is happening. This issue affects Junos OS Evolved: * All versions before 21.4R3-S7-EVO, * 22.1 versions before 22.1R3-S6-EVO, * 22.2 versions before 22.2R3-EVO,  * 22.3 versions before 22.3R3-EVO, * 22.4 versions before 22.4R2-EVO. Please note that this issue is similar to, but different from CVE-2024-47508 and CVE-2024-47509.

Mattermost versions 8.1.x before 8.1.12, 9.6.x before 9.6.1, 9.5.x before 9.5.3, 9.4.x before 9.4.5 fail to limit the number of active sessions, which allows an authenticated attacker to crash the server via repeated requests to the getSessions API after flooding the sessions table.

Teamplus Pro community discussion function has an ‘allocation of resource without limits or throttling’ vulnerability. A remote attacker with general user privilege posting a thread with large content can cause the receiving client device to allocate too much memory, leading to abnormal termination of this client’s Teamplus Pro application.

Helm is a tool for managing Charts. Charts are packages of pre-configured Kubernetes resources. Fuzz testing, provided by the CNCF, identified input to functions in the _strvals_ package that can cause an out of memory panic. The _strvals_ package contains a parser that turns strings in to Go structures. The _strvals_ package converts these strings into structures Go can work with. Some string inputs can cause array data structures to be created causing an out of memory panic. Applications that use the _strvals_ package in the Helm SDK to parse user supplied input can suffer a Denial of Service when that input causes a panic that cannot be recovered from. The Helm Client will panic with input to `--set`, `--set-string`, and other value setting flags that causes an out of memory panic. Helm is not a long running service so the panic will not affect future uses of the Helm client. This issue has been resolved in 3.9.4. SDK users can validate strings supplied by users won't create large arrays causing significant memory usage before passing them to the _strvals_ functions.

Dell PowerScale OneFS versions 8.2.2.x through 9.9.0.0 contain an uncontrolled resource consumption vulnerability. A remote low privileged attacker could potentially exploit this vulnerability, leading to denial of service.

An Allocation of Resources Without Limits or Throttling vulnerability in the PFE management daemon (evo-pfemand) of Juniper Networks Junos OS Evolved allows an authenticated, network-based attacker to cause an FPC crash leading to a Denial of Service (DoS).When specific SNMP GET operations or specific low-priviledged CLI commands are executed, a GUID resource leak will occur, eventually leading to exhaustion and resulting in FPCs to hang. Affected FPCs need to be manually restarted to recover. GUID exhaustion will trigger a syslog message like one of the following: evo-pfemand[<pid>]: get_next_guid: Ran out of Guid Space ... evo-aftmand-zx[<pid>]: get_next_guid: Ran out of Guid Space ... The leak can be monitored by running the following command and taking note of the values in the rightmost column labeled Guids: user@host> show platform application-info allocations app evo-pfemand/evo-pfemand In case one or more of these values are constantly increasing the leak is happening. This issue affects Junos OS Evolved: * All versions before 21.2R3-S8-EVO, * 21.3 versions before 21.3R3-EVO; * 21.4 versions before 22.1R2-EVO, * 22.1 versions before 22.1R1-S1-EVO, 22.1R2-EVO. Please note that this issue is similar to, but different from CVE-2024-47505 and CVE-2024-47509.

Allocation of Resources Without Limits or Throttling in GitHub repository nocodb/nocodb prior to 0.92.0.

Mattermost versions 9.11.x <= 9.11.0 and 9.5.x <= 9.5.8 fail to validate that the message of the permalink post is a string, which allows an attacker to send a non-string value as the message of a permalink post and crash the frontend.

Apache James server JMAP HTML to text plain implementation in versions below 3.8.2 and 3.7.6 is subject to unbounded memory consumption that can result in a denial of service. Users are recommended to upgrade to version 3.7.6 and 3.8.2, which fix this issue.

Multiple Denial of Service (DoS) conditions has been discovered in GitLab CE/EE affecting all versions starting from 1.0 prior to 16.11.5, starting from 17.0 prior to 17.0.3, and starting from 17.1 prior to 17.1.1 which allowed an attacker to cause resource exhaustion via banzai pipeline.

IBM Security Verify Information Queue 10.0.5, 10.0.6, 10.0.7, and 10.0.8 could allow a remote user to cause a denial of service due to improper handling of special characters that could lead to uncontrolled resource consumption.

IBM WebSphere MQ 7.1 and 7.5: Queue manager has a DoS vulnerability

In Splunk Enterprise versions below 9.3.1, 9.2.3, and 9.1.6 and Splunk Cloud Platform versions below 9.2.2403.107, 9.1.2312.204, and 9.1.2312.111, a low-privileged user that does not hold the "admin" or "power" Splunk roles could craft a search query with an improperly formatted "INGEST_EVAL" parameter as part of a [Field Transformation](https://docs.splunk.com/Documentation/Splunk/latest/Knowledge/Managefieldtransforms) which could crash the Splunk daemon (splunkd).

Uncontrolled resource consumption in some Zoom Apps before version 6.2.0 may allow an authenticated user to conduct a denial of service via network access.