An unauthenticated remote attacker can cause a DoS in the controller due to uncontrolled resource consumption.

An unauthenticated remote attacker may use an uncontrolled resource consumption in the IEC 61131 program of the affected products by creating large amounts of network traffic that needs to be handled by the ILC. This results in a Denial-of-Service of the device.

Allocation of resources for multipart headers with insufficient limits enabled a DoS vulnerability in Apache Commons FileUpload. This issue affects Apache Commons FileUpload: from 1.0 before 1.6; from 2.0.0-M1 before 2.0.0-M4. Users are recommended to upgrade to versions 1.6 or 2.0.0-M4, which fix the issue.

Pion Interceptor is a framework for building RTP/RTCP communication software. Versions v0.1.36 through v0.1.38 contain a bug in a RTP packet factory that can be exploited to trigger a panic with Pion based SFU via crafted RTP packets, This only affect users that use pion/interceptor. Users should upgrade to v0.1.39 or later, which validates that: `padLen > 0 && padLen <= payloadLength` and return error on overflow, avoiding panic. If upgrading is not possible, apply the patch from the pull request manually or drop packets whose P-bit is set but whose padLen is zero or larger than the remaining payload.

In onHeaderDecoded of LocalImageResolver.java, there is a possible persistent denial of service due to resource exhaustion. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

NVIDIA NeMo framework for Ubuntu contains a vulnerability in tools/asr_webapp where an attacker may cause an allocation of resources without limits or throttling. A successful exploit of this vulnerability may lead to a server-side denial of service.

TYPO3 is an open source PHP based web content management system released under the GNU GPL. In affected versions requesting invalid or non-existing resources via HTTP triggers the page error handler which again could retrieve content to be shown as an error message from another page. This leads to a scenario in which the application is calling itself recursively - amplifying the impact of the initial attack until the limits of the web server are exceeded. Users are advised to update to TYPO3 version 11.5.16 to resolve this issue. There are no known workarounds for this issue.

Redis is an open source, in-memory database that persists on disk. An unauthenticated connection can cause repeated IP protocol errors, leading to client starvation and, ultimately, a denial of service. This vulnerability is fixed in 8.0.3, 7.4.5, 7.2.10, and 6.2.19.

Affected devices do not properly handle the renegotiation of SSL/TLS parameters. This could allow an unauthenticated remote attacker to bypass the TCP brute force prevention and lead to a denial of service condition for the duration of the attack.

Discourse is an open-source discussion platform. Prior to version 3.4.4 of the `stable` branch, version 3.5.0.beta5 of the `beta` branch, and version 3.5.0.beta6-dev of the `tests-passed` branch, sending a malicious URL in a PM to a bot user can cause a reduced the availability of a Discourse instance. This issue is patched in version 3.4.4 of the `stable` branch, version 3.5.0.beta5 of the `beta` branch, and version 3.5.0.beta6-dev of the `tests-passed` branch. No known workarounds are available.

Impact Cloudflare quiche was discovered to be vulnerable to incorrect congestion window growth, which could cause it to send data at a rate faster than the path might actually support. An unauthenticated remote attacker can exploit the vulnerability by first completing a handshake and initiating a congestion-controlled data transfer towards itself. Then, it could manipulate the victim's congestion control state by sending ACK frames covering a large range of packet numbers (including packet numbers that had never been sent); see RFC 9000 Section 19.3. The victim could grow the congestion window beyond typical expectations and allow more bytes in flight than the path might really support. In extreme cases, the window might grow beyond the limit of the internal variable's type, leading to an overflow panic. Patches quiche 0.24.4 is the earliest version containing the fix for this issue.

Flux2 is a tool for keeping Kubernetes clusters in sync with sources of configuration, and Flux's helm-controller is a Kubernetes operator that allows one to declaratively manage Helm chart releases. Helm controller is tightly integrated with the Helm SDK. A vulnerability found in the Helm SDK that affects flux2 v0.0.17 until v0.32.0 and helm-controller v0.0.4 until v0.23.0 allows for specific data inputs to cause high memory consumption. In some platforms, this could cause the controller to panic and stop processing reconciliations. In a shared cluster multi-tenancy environment, a tenant could create a HelmRelease that makes the controller panic, denying all other tenants from their Helm releases being reconciled. Patches are available in flux2 v0.32.0 and helm-controller v0.23.0.

It is possible for a Reader to consume memory beyond the allowed constraints and thus lead to out of memory on the system. This issue affects Rust applications using Apache Avro Rust SDK prior to 0.14.0 (previously known as avro-rs). Users should update to apache-avro version 0.14.0 which addresses this issue.

It is possible to provide data to be read that leads the reader to loop in cycles endlessly, consuming CPU. This issue affects Rust applications using Apache Avro Rust SDK prior to 0.14.0 (previously known as avro-rs). Users should update to apache-avro version 0.14.0 which addresses this issue.

Apollo Gateway provides utilities for combining multiple GraphQL microservices into a single GraphQL endpoint. Prior to 2.10.1, a vulnerability in Apollo Gateway allowed queries with deeply nested and reused named fragments to be prohibitively expensive to query plan, specifically due to internal optimizations being frequently bypassed. The query planner includes an optimization that significantly speeds up planning for applicable GraphQL selections. However, queries with deeply nested and reused named fragments can generate many selections where this optimization does not apply, leading to significantly longer planning times. Because the query planner does not enforce a timeout, a small number of such queries can render gateway inoperable. This could lead to excessive resource consumption and denial of service. This has been remediated in @apollo/gateway version 2.10.1.

An issue was discovered in GitLab Community and Enterprise Edition before 11.1.7, 11.2.x before 11.2.4, and 11.3.x before 11.3.1. The diff formatter using rouge can block for a long time in Sidekiq jobs without any timeout.

A security vulnerability has been identified in Apache Kafka. It affects all releases since 2.8.0. The vulnerability allows malicious unauthenticated clients to allocate large amounts of memory on brokers. This can lead to brokers hitting OutOfMemoryException and causing denial of service. Example scenarios: - Kafka cluster without authentication: Any clients able to establish a network connection to a broker can trigger the issue. - Kafka cluster with SASL authentication: Any clients able to establish a network connection to a broker, without the need for valid SASL credentials, can trigger the issue. - Kafka cluster with TLS authentication: Only clients able to successfully authenticate via TLS can trigger the issue. We advise the users to upgrade the Kafka installations to one of the 3.2.3, 3.1.2, 3.0.2, 2.8.2 versions.

A remote, unauthenticated attacker could cause a denial-of-service of PHOENIX CONTACT FL MGUARD and TC MGUARD devices below version 8.9.0 by sending a larger number of unauthenticated HTTPS connections originating from different source IP’s. Configuring firewall limits for incoming connections cannot prevent the issue.

Rust-WebSocket is a WebSocket (RFC6455) library written in Rust. In versions prior to 0.26.5 untrusted websocket connections can cause an out-of-memory (OOM) process abort in a client or a server. The root cause of the issue is during dataframe parsing. Affected versions would allocate a buffer based on the declared dataframe size, which may come from an untrusted source. When `Vec::with_capacity` fails to allocate, the default Rust allocator will abort the current process, killing all threads. This affects only sync (non-Tokio) implementation. Async version also does not limit memory, but does not use `with_capacity`, so DoS can happen only when bytes for oversized dataframe or message actually got delivered by the attacker. The crashes are fixed in version 0.26.5 by imposing default dataframe size limits. Affected users are advised to update to this version. Users unable to upgrade are advised to filter websocket traffic externally or to only accept trusted traffic.

A segmentation fault in TripleCross v0.1.0 occurs when sending a control command from the client to the server. This occurs because there is no limit to the length of the output of the executed command.

Very large headers can cause resource exhaustion when parsing message. The message-parser normally reads reasonably sized chunks of the message. However, when it feeds them to message-header-parser, it starts building up "full_value" buffer out of the smaller chunks. The full_value buffer has no size limit, so large headers can cause large memory usage. It doesn't matter whether it's a single long header line, or a single header split into multiple lines. This bug exists in all Dovecot versions. Incoming mails typically have some size limits set by MTA, so even largest possible header size may still fit into Dovecot's vsz_limit. So attackers probably can't DoS a victim user this way. A user could APPEND larger mails though, allowing them to DoS themselves (although maybe cause some memory issues for the backend in general). One can implement restrictions on headers on MTA component preceding Dovecot. No publicly available exploits are known.

Dell PowerScale OneFS, versions 8.2.0.x-9.4.0.x contain allocation of Resources Without Limits or Throttling vulnerability. A remote unauthenticated attacker could potentially exploit this vulnerability, leading to denial of service and performance issue on that node.

An issue was discovered in MediaWiki through 1.38.1. The lemma length of a Wikibase lexeme is currently capped at a thousand characters. Unfortunately, this length is not validated, allowing much larger lexemes to be created, which introduces various denial-of-service attack vectors within the Wikibase and WikibaseLexeme extensions. This is related to Special:NewLexeme and Special:NewProperty.

Allocation of Resources Without Limits or Throttling in GitHub repository ikus060/rdiffweb prior to 2.5.0a3.

Allocation of Resources Without Limits or Throttling in GitHub repository ikus060/rdiffweb prior to 2.5.0a3.

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.

<bytes::Bytes as axum_core::extract::FromRequest>::from_request would not, by default, set a limit for the size of the request body. That meant if a malicious peer would send a very large (or infinite) body your server might run out of memory and crash. This also applies to these extractors which used Bytes::from_request internally: axum::extract::Form axum::extract::Json String

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.

Allocation of Resources Without Limits or Throttling in GitHub repository ikus060/rdiffweb prior to 2.4.8.

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.

Allocation of Resources Without Limits or Throttling in GitHub repository ikus060/rdiffweb prior to 2.4.8.

When an iRule containing the HTTP::respond command is configured on a virtual server, undisclosed requests can cause an increase in memory resource utilization. Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.

encoded_id-rails versions before 1.0.0.beta2 are affected by an uncontrolled resource consumption vulnerability. A remote and unauthenticated attacker might cause a denial of service condition by sending an HTTP request with an extremely long "id" parameter.

Mantis Bug Tracker (MantisBT) is an open source issue tracker. Versions 2.27.1 and below allow attackers to permanently corrupt issue activity logs by submitting extremely long notes (tested with 4,788,761 characters) due to a lack of server-side validation of note length. Once such a note is added, the activity stream UI fails to render; therefore, new notes cannot be displayed, effectively breaking all future collaboration on the issue. This issue is fixed in version 2.27.2.

HashiCorp Nomad and Nonad Enterprise up to 0.10.2 HTTP/RPC services allowed unbounded resource usage, and were susceptible to unauthenticated denial of service. Fixed in 0.10.3.

Discourse is the an open source discussion platform. In affected versions an email activation route can be abused to send mass spam emails. A fix has been included in the latest stable, beta and tests-passed versions of Discourse which rate limits emails. Users are advised to upgrade. Users unable to upgrade should manually rate limit email.

Telegram Desktop 2.9.2 contains a denial of service vulnerability that allows attackers to crash the application by sending an oversized message payload. Attackers can generate a 9 million byte buffer and paste it into the messaging interface to trigger an application crash.

Hyperium Hyper before 0.14.19 does not allow for customization of the max_header_list_size method in the H2 third-party software, allowing attackers to perform HTTP2 attacks.

A lack of rate limiting in the 'forgot password' feature of Zammad v5.1.0 allows attackers to send an excessive amount of reset requests for a legitimate user, leading to a possible Denial of Service (DoS) via a large amount of generated e-mail messages.

If Apache HTTP Server 2.4.53 is configured to do transformations with mod_sed in contexts where the input to mod_sed may be very large, mod_sed may make excessively large memory allocations and trigger an abort.

Monero through 0.18.3.4 before ec74ff4 does not have response limits on HTTP server connections.

Allocation of Resources Without Limits or Throttling vulnerability in Drupal Events Log Track allows Excessive Allocation.This issue affects Events Log Track: from 0.0.0 before 3.1.11, from 4.0.0 before 4.0.2.

Pexip Infinity 27 before 28.0 allows remote attackers to trigger excessive resource consumption and termination because of registrar resource mishandling.

Reader.Read does not set a limit on the maximum size of file headers. A maliciously crafted archive could cause Read to allocate unbounded amounts of memory, potentially causing resource exhaustion or panics. After fix, Reader.Read limits the maximum size of header blocks to 1 MiB.

A Denial-of-Service (DoS) vulnerability was discovered in F-Secure Atlant whereby the fsicapd component used in certain F-Secure products while scanning larger packages/fuzzed files consume too much memory eventually can crash the scanning engine. The exploit can be triggered remotely by an attacker.

Spring Data Commons, versions 1.13 to 1.13.10, 2.0 to 2.0.5, and older unsupported versions, contain a property path parser vulnerability caused by unlimited resource allocation. An unauthenticated remote malicious user (or attacker) can issue requests against Spring Data REST endpoints or endpoints using property path parsing which can cause a denial of service (CPU and memory consumption).

An issue in Espressif Esp idf v5.3.0 allows attackers to cause a Denial of Service (DoS) via a crafted data channel packet.

socket.io-parser before 3.4.1 allows attackers to cause a denial of service (memory consumption) via a large packet because a concatenation approach is used.

The AP4_CttsAtom class in Core/Ap4CttsAtom.cpp in Bento4 1.5.1.0 allows remote attackers to cause a denial of service (application crash), related to a memory allocation failure, as demonstrated by mp2aac.