| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor. |
| The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer. The vulnerability arises from the _do_use_weight_decay method, which processes user-controlled regular expressions in the include_in_weight_decay and exclude_from_weight_decay lists. Malicious regular expressions can cause catastrophic backtracking during the re.search call, leading to 100% CPU utilization and a denial of service. This issue can be exploited by attackers who can control the patterns in these lists, potentially causing the machine learning task to hang and rendering services unresponsive. |
| Rack is a modular Ruby web server interface. In versions prior to 2.2.19, 3.1.17, and 3.2.2, `Rack::Multipart::Parser` can accumulate unbounded data when a multipart part’s header block never terminates with the required blank line (`CRLFCRLF`). The parser keeps appending incoming bytes to memory without a size cap, allowing a remote attacker to exhaust memory and cause a denial of service (DoS). Attackers can send incomplete multipart headers to trigger high memory use, leading to process termination (OOM) or severe slowdown. The effect scales with request size limits and concurrency. All applications handling multipart uploads may be affected. Versions 2.2.19, 3.1.17, and 3.2.2 cap per-part header size (e.g., 64 KiB). As a workaround, restrict maximum request sizes at the proxy or web server layer (e.g., Nginx `client_max_body_size`). |
| Rack is a modular Ruby web server interface. In versions prior to 2.2.19, 3.1.17, and 3.2.2, ``Rack::Multipart::Parser` stores non-file form fields (parts without a `filename`) entirely in memory as Ruby `String` objects. A single large text field in a multipart/form-data request (hundreds of megabytes or more) can consume equivalent process memory, potentially leading to out-of-memory (OOM) conditions and denial of service (DoS). Attackers can send large non-file fields to trigger excessive memory usage. Impact scales with request size and concurrency, potentially leading to worker crashes or severe garbage-collection overhead. All Rack applications processing multipart form submissions are affected. Versions 2.2.19, 3.1.17, and 3.2.2 enforce a reasonable size cap for non-file fields (e.g., 2 MiB). Workarounds include restricting maximum request body size at the web-server or proxy layer (e.g., Nginx `client_max_body_size`) and validating and rejecting unusually large form fields at the application level. |
| Rack is a modular Ruby web server interface. In versions prior to 2.2.19, 3.1.17, and 3.2.2, `Rack::Multipart::Parser` buffers the entire multipart preamble (bytes before the first boundary) in memory without any size limit. A client can send a large preamble followed by a valid boundary, causing significant memory use and potential process termination due to out-of-memory (OOM) conditions. Remote attackers can trigger large transient memory spikes by including a long preamble in multipart/form-data requests. The impact scales with allowed request sizes and concurrency, potentially causing worker crashes or severe slowdown due to garbage collection. Versions 2.2.19, 3.1.17, and 3.2.2 enforce a preamble size limit (e.g., 16 KiB) or discard preamble data entirely. Workarounds include limiting total request body size at the proxy or web server level and monitoring memory and set per-process limits to prevent OOM conditions. |
| Rack is a modular Ruby web server interface. Prior to version 2.2.18, Rack::QueryParser enforces its params_limit only for parameters separated by &, while still splitting on both & and ;. As a result, attackers could use ; separators to bypass the parameter count limit and submit more parameters than intended. Applications or middleware that directly invoke Rack::QueryParser with its default configuration (no explicit delimiter) could be exposed to increased CPU and memory consumption. This can be abused as a limited denial-of-service vector. This issue has been patched in version 2.2.18. |
| Assertion failure in function ngap_build_downlink_nas_transport in file src/amf/ngap-build.c, the Access and Mobility Management Function (AMF) component, in Open5GS thru 2.7.5 allowing attackers to cause a denial of service or other unspecified impacts via repeated UE connect and disconnect message sequences. |
| vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.10.1.1, a Denial of Service (DoS) vulnerability can be triggered by sending a single HTTP GET request with an extremely large header to an HTTP endpoint. This results in server memory exhaustion, potentially leading to a crash or unresponsiveness. The attack does not require authentication, making it exploitable by any remote user. This vulnerability is fixed in 0.10.1.1. |
| In Splunk Enterprise versions below 10.0.1, 9.4.4, 9.3.6, and 9.2.8, and Splunk Cloud Platform versions below 9.3.2411.108, 9.3.2408.118 and 9.2.2406.123, a user who holds a role that contains the high-privilege capability `change_authentication`, could send multiple LDAP bind requests to a specific internal endpoint, resulting in high server CPU usage, which could potentially lead to a denial of service (DoS) until the Splunk Enterprise instance is restarted. See https://help.splunk.com/en/splunk-enterprise/administer/manage-users-and-security/10.0/manage-splunk-platform-users-and-roles/define-roles-on-the-splunk-platform-with-capabilities and https://help.splunk.com/en/splunk-enterprise/administer/manage-users-and-security/10.0/use-ldap-as-an-authentication-scheme/configure-ldap-with-splunk-web#cfe47e31_007f_460d_8b3d_8505ffc3f0dd__Configure_LDAP_with_Splunk_Web for more information. |
| An uncontrolled resource consumption vulnerability has been reported to affect Qsync Central. If a remote attacker gains a user account, they can then exploit the vulnerability to launch a denial-of-service (DoS) attack.
We have already fixed the vulnerability in the following version:
Qsync Central 5.0.0.2 ( 2025/07/31 ) and later |
| An issue in finance.js v.4.1.0 allows a remote attacker to cause a denial of service via the seekZero() parameter. |
| A flaw was found in the server implementation of vLLM, where the handling of Jinja templates does not properly validate user-supplied input through the chat_template and chat_template_kwargs parameters. When a specially crafted template is processed, it can trigger excessive looping or recursion inside the Jinja engine, consuming large amounts of CPU and memory. This can cause the server to become unresponsive or crash, resulting in a denial-of-service (DoS) condition for applications using vLLM. |
| A vulnerability has been identified in RUGGEDCOM RST2428P (6GK6242-6PA00) (All versions). The affected device may be susceptible to resource exhaustion when subjected to high volumes of query requests.
This could allow an attacker to cause a temporary denial of service, with the system recovering once the activity stops. |
| A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a Denial of Service (DoS). |
| An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in tf.keras.layers.Conv2D. |
| An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation. |
| CISA Thorium does not rate limit requests to send account verification email messages. A remote unauthenticated attacker can send unlimited messages to a user who is pending verification. Fixed in 1.1.1 by adding a rate limit set by default to 10 minutes. |
| REXML is an XML toolkit for Ruby. The REXML gems from 3.3.3 to 3.4.1 has a DoS vulnerability when parsing XML containing multiple XML declarations. If you need to parse untrusted XMLs, you may be impacted to these vulnerabilities. The REXML gem 3.4.2 or later include the patches to fix these vulnerabilities. |
| gnark is a zero-knowledge proof system framework. In version 0.12.0, there is a potential denial of service vulnerability when computing scalar multiplication is using the fake-GLV algorithm. This is because the algorithm didn't converge quickly enough for some of the inputs. This issue has been patched in version 0.13.0. |
| The /api/comment endpoint in zhangyd-c OneBlog 2.3.9 contains a denial-of-service vulnerability. |
