| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Having a large number of address headers (From, To, Cc, Bcc, etc.) becomes excessively CPU intensive. With 100k header lines CPU usage is already 12 seconds, and in a production environment we observed 500k header lines taking 18 minutes to parse. Since this can be triggered by external actors sending emails to a victim, this is a security issue. An external attacker can send specially crafted messages that consume target system resources and cause outage. One can implement restrictions on address headers on MTA component preceding Dovecot. No publicly available exploits are known. |
| CUBA Platform is a high level framework for enterprise applications development. Prior to version 7.2.23, the local file storage implementation does not restrict the size of uploaded files. An attacker could exploit this by uploading excessively large files, potentially causing the server to run out of space and return HTTP 500 error, resulting in a denial of service. This issue has been patched in version 7.2.23. A workaround is provided on the Jmix documentation website. |
| 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. |
| The Apollo Router Core is a configurable, high-performance graph router written in Rust to run a federated supergraph that uses Apollo Federation 2. A vulnerability in Apollo Router's usage of Apollo Compiler allowed queries with deeply nested and reused named fragments to be prohibitively expensive to validate. This could lead to excessive resource consumption and denial of service. Apollo Router's usage of Apollo Compiler has been updated so that validation logic processes each named fragment only once, preventing redundant traversal. This has been remediated in apollo-router versions 1.61.2 and 2.1.1. |
| A vulnerability has been identified in SIMATIC RTLS Locating Manager (6GT2780-0DA00) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA10) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA20) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA30) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA10) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA20) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA30) (All versions < V3.0.1.1). The affected application does not properly limit the size of specific logs. This could allow an unauthenticated remote attacker to exhaust system resources by creating a great number of log entries which could potentially lead to a denial of service condition. A successful exploitation requires the attacker to have access to specific SIMATIC RTLS Locating Manager Clients in the deployment. |
| An issue the background management system of Shanxi Internet Chuangxiang Technology Co., Ltd v1.0.1 allows a remote attacker to cause a denial of service via the index.html component. |
| nptd-rs is a tool for synchronizing your computer's clock, implementing the NTP and NTS protocols. There is a missing limit for accepted NTS-KE connections. This allows an unauthenticated remote attacker to crash ntpd-rs when an NTS-KE server is configured. Non NTS-KE server configurations, such as the default ntpd-rs configuration, are unaffected. This vulnerability has been patched in version 1.1.3.
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| IBM Db2 Big SQL on Cloud Pak for Data versions 7.6 (on CP4D 4.8), 7.7 (on CP4D 5.0), and 7.8 (on CP4D 5.1) do not properly limit the allocation of system resources. An authenticated user with internal knowledge of the environment could exploit this weakness to cause a denial of service. |
| Action Pack is a framework for handling and responding to web requests. Starting in version 3.1.0 and prior to versions 6.1.7.9, 7.0.8.5, 7.1.4.1, and 7.2.1.1, there is a possible ReDoS vulnerability in the query parameter filtering routines of Action Dispatch. Carefully crafted query parameters can cause query parameter filtering to take an unexpected amount of time, possibly resulting in a DoS vulnerability. All users running an affected release should either upgrade to version 6.1.7.9, 7.0.8.5, 7.1.4.1, or 7.2.1.1 or apply the relevant patch immediately. One may use Ruby 3.2 as a workaround. Ruby 3.2 has mitigations for this problem, so Rails applications using Ruby 3.2 or newer are unaffected. Rails 8.0.0.beta1 depends on Ruby 3.2 or greater so is unaffected. |
| An Allocation of Resources Without Limits or Throttling vulnerability in the operating system network configuration used in B&R APROL <4.4-00P5 may allow an unauthenticated adjacent attacker to per-form Denial-of-Service (DoS) attacks against the product. |
| An issue was discovered in OPC Foundation OPCFoundation/UA-.NETStandard through 1.5.374.78. A remote attacker can send requests with invalid credentials and cause the server performance to degrade gradually. |
| Improper resource initialization handling in firmware of some Solidigm DC Products may allow an attacker to potentially enable denial of service. |
| async-graphql is a GraphQL server library implemented in Rust. async-graphql before 7.0.10 does not limit the number of directives for a field. This can lead to Service Disruption, Resource Exhaustion, and User Experience Degradation. This vulnerability is fixed in 7.0.10. |
| A vulnerability in the PROFINET stack implementation of the IndraDrive (all versions) of Bosch Rexroth allows an attacker to cause a denial of service, rendering the device unresponsive by sending arbitrary UDP messages. |
| An issue in how XINJE XD5E-24R and XL5E-16T v3.5.3b handles TCP protocol messages allows attackers to cause a Denial of Service (DoS) via a crafted TCP message. |
| A denial-of-service vulnerability was reported in some Lenovo printers that could allow an unauthenticated attacker on a shared network to deny printing capabilities until the system is rebooted. |
| A denial-of-service vulnerability was reported in some Lenovo printers that could allow an unauthenticated attacker on a shared network to prevent printer services from being reachable until the system is rebooted. |
| python-multipart is a streaming multipart parser for Python. When parsing form data, python-multipart skips line breaks (CR \r or LF \n) in front of the first boundary and any tailing bytes after the last boundary. This happens one byte at a time and emits a log event each time, which may cause excessive logging for certain inputs. An attacker could abuse this by sending a malicious request with lots of data before the first or after the last boundary, causing high CPU load and stalling the processing thread for a significant amount of time. In case of ASGI application, this could stall the event loop and prevent other requests from being processed, resulting in a denial of service (DoS). This vulnerability is fixed in 0.0.18. |
| Go JOSE provides an implementation of the Javascript Object Signing and Encryption set of standards in Go, including support for JSON Web Encryption (JWE), JSON Web Signature (JWS), and JSON Web Token (JWT) standards. In versions on the 4.x branch prior to version 4.0.5, when parsing compact JWS or JWE input, Go JOSE could use excessive memory. The code used strings.Split(token, ".") to split JWT tokens, which is vulnerable to excessive memory consumption when processing maliciously crafted tokens with a large number of `.` characters. An attacker could exploit this by sending numerous malformed tokens, leading to memory exhaustion and a Denial of Service. Version 4.0.5 fixes this issue. As a workaround, applications could pre-validate that payloads passed to Go JOSE do not contain an excessive number of `.` characters. |
| 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. |
