When a POST request comes through AJP and the request exceeds the max-post-size limit (maxEntitySize), Undertow's AjpServerRequestConduit implementation closes a connection without sending any response to the client/proxy. This behavior results in that a front-end proxy marking the backend worker (application server) as an error state and not forward requests to the worker for a while. In mod_cluster, this continues until the next STATUS request (10 seconds intervals) from the application server updates the server state. So, in the worst case, it can result in "All workers are in error state" and mod_cluster responds "503 Service Unavailable" for a while (up to 10 seconds). In mod_proxy_balancer, it does not forward requests to the worker until the "retry" timeout passes. However, luckily, mod_proxy_balancer has "forcerecovery" setting (On by default; this parameter can force the immediate recovery of all workers without considering the retry parameter of the workers if all workers of a balancer are in error state.). So, unlike mod_cluster, mod_proxy_balancer does not result in responding "503 Service Unavailable". An attacker could use this behavior to send a malicious request and trigger server errors, resulting in DoS (denial of service). This flaw was fixed in Undertow 2.2.19.Final, Undertow 2.3.0.Alpha2.

In OpenShift Container Platform, a user with permissions to create or modify Routes can craft a payload that inserts a malformed entry into one of the cluster router's HAProxy configuration files. This malformed entry can match any arbitrary hostname, or all hostnames in the cluster, and direct traffic to an arbitrary application within the cluster, including one under attacker control.

A vulnerability was found in CRI-O that causes memory or disk space exhaustion on the node for anyone with access to the Kube API. The ExecSync request runs commands in a container and logs the output of the command. This output is then read by CRI-O after command execution, and it is read in a manner where the entire file corresponding to the output of the command is read in. Thus, if the output of the command is large it is possible to exhaust the memory or the disk space of the node when CRI-O reads the output of the command. The highest threat from this vulnerability is system availability.

A flaw was found in dpdk. This flaw allows a malicious vhost-user master to attach an unexpected number of fds as ancillary data to VHOST_USER_GET_INFLIGHT_FD / VHOST_USER_SET_INFLIGHT_FD messages that are not closed by the vhost-user slave. By sending such messages continuously, the vhost-user master exhausts available fd in the vhost-user slave process, leading to a denial of service.

A flaw was found in vscode-xml in versions prior to 0.19.0. Schema download could lead to blind SSRF or DoS via a large file.

A flaw was found in Podman. This issue may allow an attacker to create a specially crafted container that, when configured to share the same IPC with at least one other container, can create a large number of IPC resources in /dev/shm. The malicious container will continue to exhaust resources until it is out-of-memory (OOM) killed. While the malicious container's cgroup will be removed, the IPC resources it created are not. Those resources are tied to the IPC namespace that will not be removed until all containers using it are stopped, and one non-malicious container is holding the namespace open. The malicious container is restarted, either automatically or by attacker control, repeating the process and increasing the amount of memory consumed. With a container configured to restart always, such as `podman run --restart=always`, this can result in a memory-based denial of service of the system.

Red Hat CloudForms 3 Management Engine (CFME) allows remote authenticated users to cause a denial of service (resource consumption) via vectors involving calls to the .to_sym rails function and lack of garbage collection of inserted symbols.

A flaw was found in AMQ Broker. This issue can cause a partial interruption to the availability of AMQ Broker via an Out of memory (OOM) condition. This flaw allows an attacker to partially disrupt availability to the broker through a sustained attack of maliciously crafted messages. The highest threat from this vulnerability is system availability.

In Apache HTTP server versions 2.4.37 and prior, by sending request bodies in a slow loris way to plain resources, the h2 stream for that request unnecessarily occupied a server thread cleaning up that incoming data. This affects only HTTP/2 (mod_http2) connections.

arch/x86/kvm/vmx.c in the KVM subsystem in the Linux kernel before 3.17.2 on Intel processors does not ensure that the value in the CR4 control register remains the same after a VM entry, which allows host OS users to kill arbitrary processes or cause a denial of service (system disruption) by leveraging /dev/kvm access, as demonstrated by PR_SET_TSC prctl calls within a modified copy of QEMU.

CiffDirectory::readDirectory() at crwimage_int.cpp in Exiv2 0.26 has excessive stack consumption due to a recursive function, leading to Denial of service.

The sctp_assoc_lookup_asconf_ack function in net/sctp/associola.c in the SCTP implementation in the Linux kernel through 3.17.2 allows remote attackers to cause a denial of service (panic) via duplicate ASCONF chunks that trigger an incorrect uncork within the side-effect interpreter.

The qemu implementation in libvirt before 1.3.0 and Xen allows local guest OS users to cause a denial of service (host disk consumption) by writing to stdout or stderr.

The simplepush server iterates through the application installations and pushes a notification to the server provided by deviceToken. But this is user controlled. If a bogus applications is registered with bad deviceTokens, one can generate endless exceptions when those endpoints can't be reached or can slow the server down by purposefully wasting it's time with slow endpoints. Similarly, one can provide whatever HTTP end point they want. This turns the server into a DDOS vector or an anonymizer for the posting of malware and so on.

A flaw was found in python. An improperly handled HTTP response in the HTTP client code of python may allow a remote attacker, who controls the HTTP server, to make the client script enter an infinite loop, consuming CPU time. The highest threat from this vulnerability is to system availability.

A flaw was found in the hivex library. This flaw allows an attacker to input a specially crafted Windows Registry (hive) file, which would cause hivex to recursively call the _get_children() function, leading to a stack overflow. The highest threat from this vulnerability is to system availability.

A flaw was found in Undertow. A buffer leak on the incoming WebSocket PONG message may lead to memory exhaustion. This flaw allows an attacker to cause a denial of service. The highest threat from this vulnerability is availability.

A flaw was found in Undertow. A potential security issue in flow control handling by the browser over http/2 may potentially cause overhead or a denial of service in the server. The highest threat from this vulnerability is availability. This flaw affects Undertow versions prior to 2.0.40.Final and prior to 2.2.11.Final.

A lack of CPU resource in the Linux kernel tracing module functionality in versions prior to 5.14-rc3 was found in the way user uses trace ring buffer in a specific way. Only privileged local users (with CAP_SYS_ADMIN capability) could use this flaw to starve the resources causing denial of service.

A flaw was found in the Linux kernel. Measuring usage of the shared memory does not scale with large shared memory segment counts which could lead to resource exhaustion and DoS.

A flaw was found in the libxml2 library. This uncontrolled resource consumption vulnerability occurs when processing XML catalogs that contain repeated <nextCatalog> elements pointing to the same downstream catalog. A remote attacker can exploit this by supplying crafted catalogs, causing the parser to redundantly traverse catalog chains. This leads to excessive CPU consumption and degrades application availability, resulting in a denial-of-service condition.