| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Minder is a software supply chain security platform. Prior to version 0.0.49, the Minder REST ingester is vulnerable to a denial of service attack via an attacker-controlled REST endpoint that can crash the Minder server. The REST ingester allows users to interact with REST endpoints to fetch data for rule evaluation. When fetching data with the REST ingester, Minder sends a request to an endpoint and will use the data from the body of the response as the data to evaluate against a certain rule. If the response is sufficiently large, it can drain memory on the machine and crash the Minder server. The attacker can control the remote REST endpoints that Minder sends requests to, and they can configure the remote REST endpoints to return responses with large bodies. They would then instruct Minder to send a request to their configured endpoint that would return the large response which would crash the Minder server. Version 0.0.49 fixes this issue. |
| OpenTelemetry dotnet is a dotnet telemetry framework. A vulnerability in OpenTelemetry.Api package 1.10.0 to 1.11.1 could cause a Denial of Service (DoS) when a tracestate and traceparent header is received. Even if an application does not explicitly use trace context propagation, receiving these headers can still trigger high CPU usage. This issue impacts any application accessible over the web or backend services that process HTTP requests containing a tracestate header. Application may experience excessive resource consumption, leading to increased latency, degraded performance, or downtime. This vulnerability is fixed in 1.11.2. |
| Incus is a system container and virtual machine manager. When using an ACL on a device connected to a bridge, Incus version 6.12 and 6.13 generates nftables rules for local services (DHCP, DNS...) that partially bypass security options `security.mac_filtering`, `security.ipv4_filtering` and `security.ipv6_filtering`. This can lead to DHCP pool exhaustion and opens the door for other attacks. A patch is available at commit 2516fb19ad8428454cb4edfe70c0a5f0dc1da214. |
| VSeeFace through 1.13.38.c2 allows attackers to cause a denial of service (application hang) via a spoofed UDP packet containing at least 10 digits in JSON data. |
| 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. |
| 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. |
| When parsing a multipart form (either explicitly with Request.ParseMultipartForm or implicitly with Request.FormValue, Request.PostFormValue, or Request.FormFile), limits on the total size of the parsed form were not applied to the memory consumed while reading a single form line. This permits a maliciously crafted input containing very long lines to cause allocation of arbitrarily large amounts of memory, potentially leading to memory exhaustion. With fix, the ParseMultipartForm function now correctly limits the maximum size of form lines. |
| @fastify/multipart is a Fastify plugin for parsing the multipart content-type. Prior to versions 8.3.1 and 9.0.3, the `saveRequestFiles` function does not delete the uploaded temporary files when user cancels the request. The issue is fixed in versions 8.3.1 and 9.0.3. As a workaround, do not use `saveRequestFiles`. |
| py-libp2p before 0.2.3 allows a peer to cause a denial of service (resource consumption) via a large RSA key. |
| XMedia Recode 3.4.8.6 contains a denial of service vulnerability that allows attackers to crash the application by loading a specially crafted .m3u playlist file. Attackers can create a malicious .m3u file with an oversized buffer to trigger an application crash when the file is opened. |
| There's a vulnerability in the CRI-O application where when container is launched with securityContext.runAsUser specifying a non-existent user, CRI-O attempts to create the user, reading the container's entire /etc/passwd file into memory. If this file is excessively large, it can cause the a high memory consumption leading applications to be killed due to out-of-memory. As a result a denial-of-service can be achieved, possibly disrupting other pods and services running in the same host. |
| 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. |
| Allocation of resources without limits or throttling issue exists in HMI ViewJet C-more series and HMI GC-A2 series, which may allow a remote unauthenticated attacker to cause a denial-of-service (DoS) condition. |
| 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. |
| Foundry Artifacts was found to be vulnerable to a Denial Of Service attack due to disk being potentially filled up based on an user supplied argument (size). |
| 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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| VictoriaMetrics is a scalable solution for monitoring and managing time series data. In versions from 1.0.0 to before 1.110.23, from 1.111.0 to before 1.122.8, and from 1.123.0 to before 1.129.1, affected versions are vulnerable to DoS attacks because the snappy decoder ignored VictoriaMetrics request size limits allowing malformed blocks to trigger excessive memory use. This could lead to OOM errors and service instability. The fix enforces block-size checks based on MaxRequest limits. This issue has been patched in versions 1.110.23, 1.122.8, and 1.129.1. |
| Denial of service due to allocation of resources without limits. The following products are affected: Acronis Cyber Protect Cloud Agent (Windows) before build 39904, Acronis Cyber Protect 17 (Windows) before build 41186. |
| A denial of service (DoS) vulnerability has been identified in the JavaScript library microlight version 0.0.7. This library, used for syntax highlighting, does not limit the size of textual content it processes in HTML elements with the microlight class. When excessively large content (e.g., 100 million characters) is processed, the reset function in microlight.js consumes excessive memory and CPU resources, causing browser crashes or unresponsiveness. An attacker can exploit this vulnerability by tricking a user into visiting a malicious web page containing a microlight element with large content, resulting in a denial of service. NOTE: this is disputed by multiple parties because a large amount of memory and CPU resources is expected to be needed for content of that size. |
| ProFTPD 1.3.7a contains a denial of service vulnerability that allows attackers to overwhelm the server by creating multiple simultaneous FTP connections. Attackers can repeatedly establish connections using threading to exhaust server connection limits and block legitimate user access. |
