Allocation of Resources Without Limits or Throttling

An issue has been discovered in GitLab CE/EE affecting all versions from 10.2 before 17.10.7, 17.11 before 17.11.3, and 18.0 before 18.0.1. A lack of input validation in the Kubernetes integration could allow an authenticated user to cause denial of service..Show less

An issue has been discovered in GitLab CE/EE affecting all versions before 17.10.7, 17.11 before 17.11.3, and 18.0 before 18.0.1. A lack of proper validation in GitLab could allow an authenticated user to cause a denial of service condition.Show less

Nextcloud Server is a self hosted personal cloud system, and the Nextcloud Groupfolders app provides admin-configured folders shared by everyone in a group or team. In Nextcloud Server prior to 30.0.2, 29.0.9, and 28.0.1, Nextcloud Enterprise Server prior to 30.0.2 and 29.0.9, and Nextcloud Groupfolders app prior to 18.0.3, 17.0.5, and 16.0.11, the absence of quota checking on attachments allowed logged-in users to upload files exceeding the group folder quota. Nextcloud Server versions 30.0.2 and 29.0.9, Nextcloud Enterprise Server versions 30.0.2, 29.0.9, or 28.0.12, and Nextcloud Groupfolders app 18.0.3, 17.0.5, and 16.0.11 fix the issue. No known workarounds are available.Show less

Tornado is a Python web framework and asynchronous networking library. When Tornado's ``multipart/form-data`` parser encounters certain errors, it logs a warning but continues trying to parse the remainder of the data. This allows remote attackers to generate an extremely high volume of logs, constituting a DoS attack. This DoS is compounded by the fact that the logging subsystem is synchronous. All versions of Tornado prior to 6.5.0 are affected. The vulnerable parser is enabled by default. Upgrade to Tornado version 6.50 to receive a patch. As a workaround, risk can be mitigated by blocking `Content-Type: multipart/form-data` in a proxy.Show less

An issue has been discovered in GitLab CE/EE affecting all versions starting from 17.1 prior to 17.9.8, from 17.10 prior to 17.10.6, and from 17.11 prior to 17.11.2. It was possible to cause a DoS condition via GitHub import requests using a malicious crafted payload.Show less

A flaw was found in Rust's Ring package. A panic may be triggered when overflow checking is enabled. In the QUIC protocol, this flaw allows an attacker to induce this panic by sending a specially crafted packet. It will likely occur unintentionally in 1 out of every 2**32 packets sent or received.Show less

In the Linux kernel, the following vulnerability has been resolved: sound/virtio: Fix cancel_sync warnings on uninitialized work_structs Betty reported hitting the following warning: [ 8.709131][ T221] WARNING: CPU: 2 PID: 221 at kernel/workqueue.c:4182 ... [ 8.713282][ T221] Call trace: [ 8.713365][ T221] __flush_work+0x8d0/0x914 [ 8.713468][ T221] __cancel_work_sync+0xac/0xfc [ 8.713570][ T221] cancel_work_sync+0x24/0x34 [ 8.713667][ T221] virtsnd_remove+0xa8/0xf8 [virtio_snd ab15f34d0dd772f6d11327e08a81d46dc9c36276] [ 8.713868][ T221] virtsnd_probe+0x48c/0x664 [virtio_snd ab15f34d0dd772f6d11327e08a81d46dc9c36276] [ 8.714035][ T221] virtio_dev_probe+0x28c/0x390 [ 8.714139][ T221] really_probe+0x1bc/0x4c8 ... It seems we're hitting the error path in virtsnd_probe(), which triggers a virtsnd_remove() which iterates over the substreams calling cancel_work_sync() on the elapsed_period work_struct. Looking at the code, from earlier in: virtsnd_probe()->virtsnd_build_devs()->virtsnd_pcm_parse_cfg() We set snd->nsubstreams, allocate the snd->substreams, and if we then hit an error on the info allocation or something in virtsnd_ctl_query_info() fails, we will exit without having initialized the elapsed_period work_struct. When that error path unwinds we then call virtsnd_remove() which as long as the substreams array is allocated, will iterate through calling cancel_work_sync() on the uninitialized work struct hitting this warning. Takashi Iwai suggested this fix, which initializes the substreams structure right after allocation, so that if we hit the error paths we avoid trying to cleanup uninitialized data. Note: I have not yet managed to reproduce the issue myself, so this patch has had limited testing. Feedback or thoughts would be appreciated!Show less

An issue was discovered in Django 4.2 before 4.2.21, 5.1 before 5.1.9, and 5.2 before 5.2.1. The django.utils.html.strip_tags() function is vulnerable to a potential denial-of-service (slow performance) when processing inputs containing large sequences of incomplete HTML tags. The template filter striptags is also vulnerable, because it is built on top of strip_tags().Show less

Rack is a modular Ruby web server interface. Prior to versions 2.2.14, 3.0.16, and 3.1.14, `Rack::QueryParser` parses query strings and `application/x-www-form-urlencoded` bodies into Ruby data structures without imposing any limit on the number of parameters, allowing attackers to send requests with extremely large numbers of parameters. The vulnerability arises because `Rack::QueryParser` iterates over each `&`-separated key-value pair and adds it to a Hash without enforcing an upper bound on the total number of parameters. This allows an attacker to send a single request containing hundreds of thousands (or more) of parameters, which consumes excessive memory and CPU during parsing. An attacker can trigger denial of service by sending specifically crafted HTTP requests, which can cause memory exhaustion or pin CPU resources, stalling or crashing the Rack server. This results in full service disruption until the affected worker is restarted. Versions 2.2.14, 3.0.16, and 3.1.14 fix the issue. Some other mitigations are available. One may use middleware to enforce a maximum query string size or parameter count, or employ a reverse proxy (such as Nginx) to limit request sizes and reject oversized query strings or bodies. Limiting request body sizes and query string lengths at the web server or CDN level is an effective mitigation.Show less

When a BIG-IP HTTP/2 httprouter profile is configured on a virtual server, undisclosed responses can cause an increase in memory resource utilization.  Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.Show less

IBM Db2 for Linux, UNIX and Windows (includes DB2 Connect Server) 11.5.0 through 11.5.9 and 12.1.0 through 12.1.1 could allow an authenticated user to cause a denial of service when connecting to a z/OS database due to improper handling of automatic client rerouting.Show less

IBM Db2 for Linux, UNIX and Windows (includes DB2 Connect Server) 11.5.0 through 11.5.9 and 12.1.0 through 12.1.1 under specific configurations could allow an authenticated user to cause a denial of service due to insufficient release of allocated memory resources.Show less

Volcano is a Kubernetes-native batch scheduling system. Prior to versions 1.11.2, 1.10.2, 1.9.1, 1.11.0-network-topology-preview.3, and 1.12.0-alpha.2, attacker compromise of either the Elastic service or the extender plugin can cause denial of service of the scheduler. This is a privilege escalation, because Volcano users may run their Elastic service and extender plugins in separate pods or nodes from the scheduler. In the Kubernetes security model, node isolation is a security boundary, and as such an attacker is able to cross that boundary in Volcano's case if they have compromised either the vulnerable services or the pod/node in which they are deployed. The scheduler will become unavailable to other users and workloads in the cluster. The scheduler will either crash with an unrecoverable OOM panic or freeze while consuming excessive amounts of memory. This issue has been patched in versions 1.11.2, 1.10.2, 1.9.1, 1.11.0-network-topology-preview.3, and 1.12.0-alpha.2.Show less

A vulnerability in the web application of ctrlX OS allows a remote authenticated (low-privileged) attacker to induce a Denial-of-Service (DoS) condition on the device via multiple crafted HTTP requests. In the worst case, a full power cycle is needed to regain control of the device.Show less

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Versions starting from 0.5.2 and prior to 0.8.5 are vulnerable to denial of service and data exposure via ZeroMQ on multi-node vLLM deployment. In a multi-node vLLM deployment, vLLM uses ZeroMQ for some multi-node communication purposes. The primary vLLM host opens an XPUB ZeroMQ socket and binds it to ALL interfaces. While the socket is always opened for a multi-node deployment, it is only used when doing tensor parallelism across multiple hosts. Any client with network access to this host can connect to this XPUB socket unless its port is blocked by a firewall. Once connected, these arbitrary clients will receive all of the same data broadcasted to all of the secondary vLLM hosts. This data is internal vLLM state information that is not useful to an attacker. By potentially connecting to this socket many times and not reading data published to them, an attacker can also cause a denial of service by slowing down or potentially blocking the publisher. This issue has been patched in version 0.8.5.Show less