In spring framework versions prior to 5.3.20+ , 5.2.22+ and old unsupported versions, application with a STOMP over WebSocket endpoint is vulnerable to a denial of service attack by an authenticated user.

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 under certain conditions with a specially crafted query.

A Denial of Service (DoS) issue has been discovered in GitLab CE/EE affecting all versions starting from 7.14.1 prior to 17.3.7, 17.4 prior to 17.4.4, and 17.5 prior to 17.5.2. A denial of service could occur upon importing maliciously crafted content using the Fogbugz importer.

It was found in Ceph versions before 13.2.4 that authenticated ceph RGW users can cause a denial of service against OMAPs holding bucket indices.

MeterSphere is an open source continuous testing platform. Version 2.9.1 and prior are vulnerable to denial of service. ​The `checkUserPassword` method is used to check whether the password provided by the user matches the password saved in the database, and the `CodingUtil.md5` method is used to encrypt the original password with MD5 to ensure that the password will not be saved in plain text when it is stored. If a user submits a very long password when logging in, the system will be forced to execute the long password MD5 encryption process, causing the server CPU and memory to be exhausted, thereby causing a denial of service attack on the server. This issue is fixed in version 2.10.0-lts with a maximum password length.

A flaw was found in glusterfs server through versions 4.1.4 and 3.1.2 which allowed repeated usage of GF_META_LOCK_KEY xattr. A remote, authenticated attacker could use this flaw to create multiple locks for single inode by using setxattr repetitively resulting in memory exhaustion of glusterfs server node.

An issue has been discovered in GitLab CE/EE affecting all versions from 11.6 before 17.10.7, 17.11 before 17.11.3, and 18.0 before 18.0.1. A Discord webhook integration may cause DoS.

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.

evm is a pure Rust implementation of Ethereum Virtual Machine. Prior to the patch, when executing specific EVM opcodes related to memory operations that use `evm_core::Memory::copy_large`, the `evm` crate can over-allocate memory when it is not needed, making it possible for an attacker to perform denial-of-service attack. The flaw was corrected in commit `19ade85`. Users should upgrade to `==0.21.1, ==0.23.1, ==0.24.1, ==0.25.1, >=0.26.1`. There are no workarounds. Please upgrade your `evm` crate version.

Opencast is free and open source software for automated video capture and distribution. First noticed in Opencast 13 and 14, Opencast's Elasticsearch integration may generate syntactically invalid Elasticsearch queries in relation to previously acceptable search queries. From Opencast version 11.4 and newer, Elasticsearch queries are retried a configurable number of times in the case of error to handle temporary losses of connection to Elasticsearch. These invalid queries would fail, causing the retry mechanism to begin requerying with the same syntactically invalid query immediately, in an infinite loop. This causes a massive increase in log size which can in some cases cause a denial of service due to disk exhaustion. Opencast 13.10 and Opencast 14.3 contain patches which address the base issue, with Opencast 16.7 containing changes which harmonize the search behaviour between the admin UI and external API. Users are strongly recommended to upgrade as soon as possible if running versions prior to 13.10 or 14.3. While the relevant endpoints require (by default) `ROLE_ADMIN` or `ROLE_API_SERIES_VIEW`, the problem queries are otherwise innocuous. This issue could be easily triggered by normal administrative work on an affected Opencast system. Those who run a version newer than 13.10 and 14.3 and see different results when searching in their admin UI vs your external API or LMS, may resolve the issue by upgrading to 16.7. No known workarounds for the vulnerability are available.

An allocation of resources without limits or throttling in Kibana can lead to a crash caused by a specially crafted request to /api/log_entries/summary. This can be carried out by users with read access to the Observability-Logs feature in Kibana.

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.

An allocation of resources without limits or throttling in Kibana can lead to a crash caused by a specially crafted request to /api/metrics/snapshot. This can be carried out by users with read access to the Observability Metrics or Logs features in Kibana.

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.

This vulnerability exists in the Wave 2.0 due to missing rate limiting on OTP requests in an API endpoint. An authenticated remote attacker could exploit this vulnerability by sending multiple OTP request through vulnerable API endpoint which could lead to the OTP bombing/flooding on the targeted system.

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

IBM Cognos Analytics Mobile Server 11.1.7, 11.2.4, and 12.0.0 is vulnerable to Denial of Service due to due to weak or absence of rate limiting. By making unlimited http requests, it is possible for a single user to exhaust server resources over a period of time making service unavailable for other legitimate users. IBM X-Force ID: 230510.

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.

An issue has been discovered in GitLab CE/EE affecting all versions starting from 15.4 prior to 16.9.7, starting from 16.10 prior to 16.10.5, and starting from 16.11 prior to 16.11.2 where abusing the API to filter branch and tags could lead to Denial of Service.

Mealie is a self hosted recipe manager and meal planner. Prior to 1.4.0, the safe_scrape_html function utilizes a user-controlled URL to issue a request to a remote server, however these requests are not rate-limited. While there are efforts to prevent DDoS by implementing a timeout on requests, it is possible for an attacker to issue a large number of requests to the server which will be handled in batches based on the configuration of the Mealie server. The chunking of responses is helpful for mitigating memory exhaustion on the Mealie server, however a single request to an arbitrarily large external file (e.g. a Debian ISO) is often sufficient to completely saturate a CPU core assigned to the Mealie container. Without rate limiting in place, it is possible to not only sustain traffic against an external target indefinitely, but also to exhaust the CPU resources assigned to the Mealie container. This vulnerability is fixed in 1.4.0.