gRPC contains a vulnerability that allows hpack table accounting errors could lead to unwanted disconnects between clients and servers in exceptional cases/ Three vectors were found that allow the following DOS attacks: - Unbounded memory buffering in the HPACK parser - Unbounded CPU consumption in the HPACK parser The unbounded CPU consumption is down to a copy that occurred per-input-block in the parser, and because that could be unbounded due to the memory copy bug we end up with an O(n^2) parsing loop, with n selected by the client. The unbounded memory buffering bugs: - The header size limit check was behind the string reading code, so we needed to first buffer up to a 4 gigabyte string before rejecting it as longer than 8 or 16kb. - HPACK varints have an encoding quirk whereby an infinite number of 0’s can be added at the start of an integer. gRPC’s hpack parser needed to read all of them before concluding a parse. - gRPC’s metadata overflow check was performed per frame, so that the following sequence of frames could cause infinite buffering: HEADERS: containing a: 1 CONTINUATION: containing a: 2 CONTINUATION: containing a: 3 etc…

Envoy version 1.14.2, 1.13.2, 1.12.4 or earlier may consume excessive amounts of memory when processing HTTP/1.1 headers with long field names or requests with long URLs.

snappy-java is a fast compressor/decompressor for Java. Due to use of an unchecked chunk length, an unrecoverable fatal error can occur in versions prior to 1.1.10.1. The code in the function hasNextChunk in the fileSnappyInputStream.java checks if a given stream has more chunks to read. It does that by attempting to read 4 bytes. If it wasn’t possible to read the 4 bytes, the function returns false. Otherwise, if 4 bytes were available, the code treats them as the length of the next chunk. In the case that the `compressed` variable is null, a byte array is allocated with the size given by the input data. Since the code doesn’t test the legality of the `chunkSize` variable, it is possible to pass a negative number (such as 0xFFFFFFFF which is -1), which will cause the code to raise a `java.lang.NegativeArraySizeException` exception. A worse case would happen when passing a huge positive value (such as 0x7FFFFFFF), which would raise the fatal `java.lang.OutOfMemoryError` error. Version 1.1.10.1 contains a patch for this issue.

The jose2go component before 1.6.0 for Go allows attackers to cause a denial of service (CPU consumption) via a large p2c (aka PBES2 Count) value.

h2o is an HTTP server with support for HTTP/1.x, HTTP/2 and HTTP/3. The QUIC stack (quicly), as used by H2O up to commit 43f86e5 (in version 2.3.0-beta and prior), is susceptible to a state exhaustion attack. When H2O is serving HTTP/3, a remote attacker can exploit this vulnerability to progressively increase the memory retained by the QUIC stack. This can eventually cause H2O to abort due to memory exhaustion. The vulnerability has been resolved in commit d67e81d03be12a9d53dc8271af6530f40164cd35. HTTP/1 and HTTP/2 are not affected by this vulnerability as they do not use QUIC. Administrators looking to mitigate this issue without upgrading can disable HTTP/3 support.

Vulnerability of system restart triggered by abnormal callbacks passed to APIs.Successful exploitation of this vulnerability may cause the system to restart.

Grackle is a GraphQL server written in functional Scala, built on the Typelevel stack. The GraphQL specification requires that GraphQL fragments must not form cycles, either directly or indirectly. Prior to Grackle version 0.18.0, that requirement wasn't checked, and queries with cyclic fragments would have been accepted for type checking and compilation. The attempted compilation of such fragments would result in a JVM `StackOverflowError` being thrown. Some knowledge of an applications GraphQL schema would be required to construct such a query, however no knowledge of any application-specific performance or other behavioural characteristics would be needed. Grackle uses the cats-parse library for parsing GraphQL queries. Prior to version 0.18.0, Grackle made use of the cats-parse `recursive` operator. However, `recursive` is not currently stack safe. `recursive` was used in three places in the parser: nested selection sets, nested input values (lists and objects), and nested list type declarations. Consequently, queries with deeply nested selection sets, input values or list types could be constructed which exploited this, causing a JVM `StackOverflowException` to be thrown during parsing. Because this happens very early in query processing, no specific knowledge of an applications GraphQL schema would be required to construct such a query. The possibility of small queries resulting in stack overflow is a potential denial of service vulnerability. This potentially affects all applications using Grackle which have untrusted users. Both stack overflow issues have been resolved in the v0.18.0 release of Grackle. As a workaround, users could interpose a sanitizing layer in between untrusted input and Grackle query processing.

Allocation of Resources Without Limits or Throttling vulnerability in Apache Software Foundation Apache Struts.This issue affects Apache Struts: through 2.5.30, through 6.1.2. Upgrade to Struts 2.5.31 or 6.1.2.1 or greater

Denial of Service in JSON-Java versions up to and including 20230618.  A bug in the parser means that an input string of modest size can lead to indefinite amounts of memory being used.

Certain DNSSEC aspects of the DNS protocol (in RFC 4033, 4034, 4035, 6840, and related RFCs) allow remote attackers to cause a denial of service (CPU consumption) via one or more DNSSEC responses, aka the "KeyTrap" issue. One of the concerns is that, when there is a zone with many DNSKEY and RRSIG records, the protocol specification implies that an algorithm must evaluate all combinations of DNSKEY and RRSIG records.

An issue was discovered in Zammad before 6.2.0. Due to lack of rate limiting in the "email address verification" feature, an attacker could send many requests for a known address to cause Denial Of Service (generation of many emails, which would also spam the victim).

Expr is an expression language and expression evaluation for Go. Prior to version 1.17.0, if the Expr expression parser is given an unbounded input string, it will attempt to compile the entire string and generate an Abstract Syntax Tree (AST) node for each part of the expression. In scenarios where input size isn’t limited, a malicious or inadvertent extremely large expression can consume excessive memory as the parser builds a huge AST. This can ultimately lead to*excessive memory usage and an Out-Of-Memory (OOM) crash of the process. This issue is relatively uncommon and will only manifest when there are no restrictions on the input size, i.e. the expression length is allowed to grow arbitrarily large. In typical use cases where inputs are bounded or validated, this problem would not occur. The problem has been patched in the latest versions of the Expr library. The fix introduces compile-time limits on the number of AST nodes and memory usage during parsing, preventing any single expression from exhausting resources. Users should upgrade to Expr version 1.17.0 or later, as this release includes the new node budget and memory limit safeguards. Upgrading to v1.17.0 ensures that extremely deep or large expressions are detected and safely aborted during compilation, avoiding the OOM condition. For users who cannot immediately upgrade, the recommended workaround is to impose an input size restriction before parsing. In practice, this means validating or limiting the length of expression strings that your application will accept. For example, set a maximum allowable number of characters (or nodes) for any expression and reject or truncate inputs that exceed this limit. By ensuring no unbounded-length expression is ever fed into the parser, one can prevent the parser from constructing a pathologically large AST and avoid potential memory exhaustion. In short, pre-validate and cap input size as a safeguard in the absence of the patch.

A lack of rate limiting in pjActionAJaxSend in Availability Booking Calendar 5.0 allows attackers to cause resource exhaustion.

Discourse is an open source platform for community discussion. In versions 3.1.0 through 3.1.2 of the `stable` branch and versions 3.1.0,beta6 through 3.2.0.beta2 of the `beta` and `tests-passed` branches, Redis memory can be depleted by crafting a site with an abnormally long favicon URL and drafting multiple posts which Onebox it. The issue is patched in version 3.1.3 of the `stable` branch and version 3.2.0.beta3 of the `beta` and `tests-passed` branches. There are no known workarounds.

An issue was discovered in Django 3.2 before 3.2.23, 4.1 before 4.1.13, and 4.2 before 4.2.7. The NFKC normalization is slow on Windows. As a consequence, django.contrib.auth.forms.UsernameField is subject to a potential DoS (denial of service) attack via certain inputs with a very large number of Unicode characters.

A denial-of-service vulnerability due to improper prioritization of network traffic over protection mechanism exists in Relion 670/650 and SAM600-IO series device that if exploited could potentially cause critical functions like LDCM (Line Distance Communication Module) to malfunction.

An issue was discovered in the Wikibase extension for MediaWiki before 1.35.12, 1.36.x through 1.39.x before 1.39.5, and 1.40.x before 1.40.1. There is no rate limit for merging items.

IBM WebSphere Application Server Liberty 17.0.0.3 through 24.0.0.4 is vulnerable to a denial of service, caused by sending a specially crafted request. A remote attacker could exploit this vulnerability to cause the server to consume memory resources. IBM X-Force ID: 280400.

An issue was discovered in Couchbase Server 6.6.x through 7.2.0, before 7.1.5 and 7.2.1. Unauthenticated users may cause memcached to run out of memory via large commands.

An Allocation of Resources Without Limits or Throttling vulnerability in Juniper Networks Junos OS allows an unauthenticated, network-based attacker to cause Denial of Service (DoS). On all Junos OS QFX5000 Series and EX4000 Series platforms, when a high number of VLANs are configured, a specific DHCP packet will cause PFE hogging which will lead to dropping of socket connections. This issue affects: Juniper Networks Junos OS on QFX5000 Series and EX4000 Series * 21.1 versions prior to 21.1R3-S5; * 21.2 versions prior to 21.2R3-S5; * 21.3 versions prior to 21.3R3-S5; * 21.4 versions prior to 21.4R3-S4; * 22.1 versions prior to 22.1R3-S3; * 22.2 versions prior to 22.2R3-S1; * 22.3 versions prior to 22.3R2-S2, 22.3R3; * 22.4 versions prior to 22.4R2. This issue does not affect Juniper Networks Junos OS versions prior to 21.1R1

An issue was discovered in Pillow before 10.0.0. It is a Denial of Service that uncontrollably allocates memory to process a given task, potentially causing a service to crash by having it run out of memory. This occurs for truetype in ImageFont when textlength in an ImageDraw instance operates on a long text argument.

Amazon Ion is a Java implementation of the Ion data notation. Prior to version 1.10.5, a potential denial-of-service issue exists in `ion-java` for applications that use `ion-java` to deserialize Ion text encoded data, or deserialize Ion text or binary encoded data into the `IonValue` model and then invoke certain `IonValue` methods on that in-memory representation. An actor could craft Ion data that, when loaded by the affected application and/or processed using the `IonValue` model, results in a `StackOverflowError` originating from the `ion-java` library. The patch is included in `ion-java` 1.10.5. As a workaround, do not load data which originated from an untrusted source or that could have been tampered with.

FreeSWITCH is a Software Defined Telecom Stack enabling the digital transformation from proprietary telecom switches to a software implementation that runs on any commodity hardware. Prior to version 1.10.10, FreeSWITCH allows authorized users to cause a denial of service attack by sending re-INVITE with SDP containing duplicate codec names. When a call in FreeSWITCH completes codec negotiation, the `codec_string` channel variable is set with the result of the negotiation. On a subsequent re-negotiation, if an SDP is offered that contains codecs with the same names but with different formats, there may be too many codec matches detected by FreeSWITCH leading to overflows of its internal arrays. By abusing this vulnerability, an attacker is able to corrupt stack of FreeSWITCH leading to an undefined behavior of the system or simply crash it. Version 1.10.10 contains a patch for this issue.

Kirby is a content management system. A vulnerability in versions prior to 3.5.8.3, 3.6.6.3, 3.7.5.2, 3.8.4.1, and 3.9.6 affects all Kirby sites with user accounts (unless Kirby's API and Panel are disabled in the config). The real-world impact of this vulnerability is limited, however we still recommend to update to one of the patch releases because they also fix more severe vulnerabilities. Kirby's authentication endpoint did not limit the password length. This allowed attackers to provide a password with a length up to the server's maximum request body length. Validating that password against the user's actual password requires hashing the provided password, which requires more CPU and memory resources (and therefore processing time) the longer the provided password gets. This could be abused by an attacker to cause the website to become unresponsive or unavailable. Because Kirby comes with a built-in brute force protection, the impact of this vulnerability is limited to 10 failed logins from each IP address and 10 failed logins for each existing user per hour. The problem has been patched in Kirby 3.5.8.3, 3.6.6.3, 3.7.5.2, 3.8.4.1, and 3.9.6. In all of the mentioned releases, the maintainers have added password length limits in the affected code so that passwords longer than 1000 bytes are immediately blocked, both when setting a password and when logging in.

When curl retrieves an HTTP response, it stores the incoming headers so that they can be accessed later via the libcurl headers API. However, curl did not have a limit in how many or how large headers it would accept in a response, allowing a malicious server to stream an endless series of headers and eventually cause curl to run out of heap memory.

Faktory is a language-agnostic persistent background job server. Prior to version 1.8.0, the Faktory web dashboard can suffer from denial of service by a crafted malicious url query param `days`. The vulnerability is related to how the backend reads the `days` URL query parameter in the Faktory web dashboard. The value is used directly without any checks to create a string slice. If a very large value is provided, the backend server ends up using a significant amount of memory and causing it to crash. Version 1.8.0 fixes this issue.

An issue in the log_create_delta component of MonetDB Server v11.45.17 and v11.46.0 allows attackers to cause Denial of Service (DoS) via crafted SQL statements.

An issue in the BLOBcmp component of MonetDB Server v11.45.17 and v11.46.0 allows attackers to cause a Denial of Service (DoS) via crafted SQL statements.

IBM Security Guardium Big Data Intelligence 4.0 (SonarG) does not properly restrict the size or amount of resources that are requested or influenced by an actor. This weakness can be used to consume more resources than intended. IBM X-Force ID: 161417.

IBM WebSphere Application Server 7.0, 8.0, 8.5, and 9.0 is vulnerable to a denial of service, caused by sending a specially-crafted request. A remote attacker could exploit this vulnerability to cause the server to consume all available memory. IBM X-Force ID: 172125.

An exploitable denial-of-service vulnerability exists in the Weave daemon of the Nest Cam IQ Indoor, version 4620002. A set of TCP connections can cause unrestricted resource allocation, resulting in a denial of service. An attacker can connect multiple times to trigger this vulnerability.

There is a possible denial of service vulnerability in Action View (Rails) <5.2.2.1, <5.1.6.2, <5.0.7.2, <4.2.11.1 where specially crafted accept headers can cause action view to consume 100% cpu and make the server unresponsive.

There is a Memory leakage vulnerability in Smartphone.Successful exploitation of this vulnerability may cause memory exhaustion.

Dell EMC Open Manage System Administrator (OMSA) versions prior to 9.3.0 contain an Improper Range Header Processing Vulnerability. A remote unauthenticated attacker may send crafted requests with overlapping ranges to cause the application to compress each of the requested bytes, resulting in a crash due to excessive memory consumption and preventing users from accessing the system.

Bitcoin Core before 24.0.1 allows remote attackers to cause a denial of service (daemon crash) via a flood of low-difficulty header chains (aka a "Chain Width Expansion" attack) because a node does not first verify that a presented chain has enough work before committing to store it.

An issue was discovered in Mattermost Server before 5.8.0, 5.7.2, 5.6.5, and 4.10.7. It allows attackers to cause a denial of service (memory consumption) via OpenGraph.

An issue was discovered in Foxit PhantomPDF before 8.3.12. It allows memory consumption because data is created for each page of an application level.

Centova Cast 3.2.12 contains a denial of service vulnerability that allows attackers to overwhelm the system by repeatedly calling the database export API endpoint. Attackers can trigger 100% CPU load by sending multiple concurrent requests to the /api.php endpoint with crafted parameters.

An issue was discovered in Foxit Reader and PhantomPDF before 9.7. It allows memory consumption because data is created for each page of an application level.

OliveTin gives access to predefined shell commands from a web interface. Prior to version 3000.10.2, the PasswordHash API endpoint allows unauthenticated users to trigger excessive memory allocation by sending concurrent password hashing requests. By issuing multiple parallel requests, an attacker can exhaust available container memory, leading to service degradation or complete denial of service (DoS). The issue occurs because the endpoint performs computationally and memory-intensive hashing operations without request throttling, authentication requirements, or resource limits. This issue has been patched in version 3000.10.2.

jackson-databind 2.10.x through 2.12.x before 2.12.6 and 2.13.x before 2.13.1 allows attackers to cause a denial of service (2 GB transient heap usage per read) in uncommon situations involving JsonNode JDK serialization.

An issue was discovered in Pillow before 6.2.0. When reading specially crafted invalid image files, the library can either allocate very large amounts of memory or take an extremely long period of time to process the image.

SHAREit through 4.0.6.177 does not check the full message length from the received packet header (which is used to allocate memory for the next set of data). This could lead to a system denial of service due to uncontrolled memory allocation. This is different from CVE-2019-14941.

SHAREit through 4.0.6.177 does not check the body length from the received packet header (which is used to allocate memory for the next set of data). This could lead to a system denial of service due to uncontrolled memory allocation.

HashiCorp Vault and Vault Enterprise 1.12.0 and newer are vulnerable to a denial of service through memory exhaustion of the host when handling large unauthenticated and authenticated HTTP requests from a client. Vault will attempt to map the request to memory, resulting in the exhaustion of available memory on the host, which may cause Vault to crash. Fixed in Vault 1.15.4, 1.14.8, 1.13.12.

joserfc is a Python library that provides an implementation of several JSON Object Signing and Encryption (JOSE) standards. In 1.6.2 and earlier, a resource exhaustion vulnerability in joserfc allows an unauthenticated attacker to cause a Denial of Service (DoS) via CPU exhaustion. When the library decrypts a JSON Web Encryption (JWE) token using Password-Based Encryption (PBES2) algorithms, it reads the p2c (PBES2 Count) parameter directly from the token's protected header. This parameter defines the number of iterations for the PBKDF2 key derivation function. Because joserfc does not validate or bound this value, an attacker can specify an extremely large iteration count (e.g., 2^31 - 1), forcing the server to expend massive CPU resources processing a single token. This vulnerability exists at the JWA layer and impacts all high-level JWE and JWT decryption interfaces if PBES2 algorithms are allowed by the application's policy.

Java Facebook Thrift servers would not error upon receiving messages declaring containers of sizes larger than the payload. As a result, malicious clients could send short messages which would result in a large memory allocation, potentially leading to denial of service. This issue affects Facebook Thrift prior to v2019.12.09.00.

ABB, Phoenix Contact, Schneider Electric, Siemens, WAGO - Programmable Logic Controllers, multiple versions. Researchers have found some controllers are susceptible to a denial-of-service attack due to a flood of network packets.

The web api server on Port 8080 of ASUS HG100 firmware up to 1.05.12, which is vulnerable to Slowloris HTTP Denial of Service: an attacker can cause a Denial of Service (DoS) by sending headers very slowly to keep HTTP or HTTPS connections and associated resources alive for a long period of time. CVSS 3.0 Base score 7.4 (Availability impacts). CVSS vector: (CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H).