10303 matches found
CVE-2025-4215
A vulnerability was found in gorhill uBlock Origin up to 1.63.3b16. It has been classified as problematic. Affected is the function currentStateChanged of the file src/js/1p-filters.js of the component UI. The manipulation leads to inefficient regular expression complexity. It is possible to laun...
CVE-2025-4215 gorhill uBlock Origin UI 1p-filters.js currentStateChanged redos
A vulnerability was found in gorhill uBlock Origin up to 1.63.3b16. It has been classified as problematic. Affected is the function currentStateChanged of the file src/js/1p-filters.js of the component UI. The manipulation leads to inefficient regular expression complexity. It is possible to laun...
CVE-2025-4215
A vulnerability was found in gorhill uBlock Origin up to 1.63.3b16. It has been classified as problematic. Affected is the function currentStateChanged of the file src/js/1p-filters.js of the component UI. The manipulation leads to inefficient regular expression complexity. It is possible to laun...
CVE-2025-4215
CVE-2025-4215 affects gorhill uBlock Origin up to 1.63.3b16, specifically the UI function currentStateChanged in src/js/1p-filters.js. The issue is described as an inefficient regular expression pattern used in filters, which can be triggered remotely and carries a relatively high attack complexi...
CVE-2025-4215: Inefficient Regular Expression Complexity
A vulnerability was found in gorhill uBlock Origin up to 1.63.3b16. It has been classified as problematic. Affected is the function currentStateChanged of the file src/js/1p-filters.js of the component UI. The manipulation leads to inefficient regular expression complexity. It is possible to laun...
uBlock Origin 安全漏洞
uBlock Origin uBO is an efficient blocker for uBlock Origin-Chromium and Firefox by Raymond Hill Personal Developer. A security vulnerability exists in uBlock Origin 1.63.3b16 and earlier versions, which stems from improper regular expression complexity and could lead to a denial of service attac...
CGI Gem Regular Expression DoS
The vulnerability of the CGI Gem software lies in the use of a regular expression with inefficient computational complexity. Exploiting this vulnerability allows an attacker operating remotely to cause service interruptions...
Security Bulletin: An attacker can craft an input to the Parse functions that would be processed non-linearly with respect to its length, resulting in extremely slow parsing, affects watsonx.data
Summary An attacker can craft an input to the Parse functions that would be processed non-linearly with respect to its length, resulting in extremely slow parsing. This could affect watsonx.data. Vulnerability Details CVEID:CVE-2024-45338 DESCRIPTION: An attacker can craft an input to the Parse...
CVE-2025-1194
A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...
CVE-2025-3985
A vulnerability was found in Apereo CAS 5.2.6. It has been classified as problematic. This affects the function ResponseEntity of the file cas-5.2.6\webapp-mgmt\cas-management-webapp-support\src\main\java\org\apereo\cas\mgmt\services\web\ManageRegisteredServicesMultiActionController.java. The...
GHSA-FPWR-67PX-3QHX Transformers Regular Expression Denial of Service (ReDoS) vulnerability
A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...
Transformers Regular Expression Denial of Service (ReDoS) vulnerability
A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...
Regular Expression Denial of Service (ReDoS)
Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Regular Expression Denial of Service ReDoS in the tokenizationgptneoxjapanese.py file, within the SubWordJapaneseTokenizer class. The regex is designed ...
CVE-2025-1194
A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...
CVE-2025-1194 Regular Expression Denial of Service (ReDoS) in huggingface/transformers
A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...
CVE-2025-1194 Regular Expression Denial of Service (ReDoS) in huggingface/transformers
A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...
CVE-2025-1194 Regular Expression Denial of Service (ReDoS) in huggingface/transformers
A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationgptneoxjapanese.py of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions...
CVE-2025-1194
CVE-2025-1194 – ReDoS in HuggingFace Transformers (GPT-NeoX-Japanese SubWordJapaneseTokenizer) The CVE describes a Regular Expression Denial of Service in the HuggingFace transformers package, specifically in tokenization_gpt_neox_japanese.py (GPT-NeoX-Japanese model). The vulnerability arises fr...
Medium: containerd
Issue Overview: 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...
Amazon Linux 2 : runc (ALASDOCKER-2025-059)
The version of runc installed on the remote host is prior to 1.1.4-1. It is, therefore, affected by multiple vulnerabilities as referenced in the ALAS2DOCKER-2025-059 advisory. Reader.Read does not set a limit on the maximum size of file headers. A maliciously crafted archive could cause Read to...