Inefficient Regular Expression Complexity

A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, specifically in the file `tokenization_gpt_neox_japanese.py` of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions process specially crafted inputs. The issue stems from a regex exhibiting exponential complexity under certain conditions, leading to excessive backtracking. This can result in high CPU usage and potential application downtime, effectively creating a Denial of Service (DoS) scenario. The affected version is v4.48.1 (latest).Show less

A vulnerability was found in Apereo CAS 5.2.6. It has been declared as problematic. This vulnerability affects unknown code of the file cas-5.2.6\core\cas-server-core-configuration-metadata-repository\src\main\java\org\apereo\cas\metadata\rest\CasConfigurationMetadataServerController.java. The manipulation of the argument Name leads to inefficient regular expression complexity. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.Show less

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 manipulation of the argument Query leads to inefficient regular expression complexity. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.Show less

A vulnerability was found in GL.iNet GL-A1300 Slate Plus, GL-AR300M16 Shadow, GL-AR300M Shadow, GL-AR750 Creta, GL-AR750S-EXT Slate, GL-AX1800 Flint, GL-AXT1800 Slate AX, GL-B1300 Convexa-B, GL-B3000 Marble, GL-BE3600 Slate 7, GL-E750, GL-E750V2 Mudi, GL-MT300N-V2 Mango, GL-MT1300 Beryl, GL-MT2500 Brume 2, GL-MT3000 Beryl AX, GL-MT6000 Flint 2, GL-SFT1200 Opal, GL-X300B Collie, GL-X750 Spitz, GL-X3000 Spitz AX, GL-XE300 Puli and GL-XE3000 Puli AX 4.x. It has been declared as problematic. This vulnerability affects unknown code of the component API. The manipulation leads to inefficient regular expression complexity. It is recommended to upgrade the affected component.Show less

The WP-Syntax WordPress plugin through 1.2 does not properly handle input, allowing an attacker to create a post containing a large number of tags, thereby exploiting a catastrophic backtracking issue in the regular expression processing to cause a DoS.Show less

The WP-GeSHi-Highlight — rock-solid syntax highlighting for 259 languages WordPress plugin through 1.4.3 processes user-supplied input as a regular expression via the wp_geshi_filter_replace_code() function, which could lead to Regular Expression Denial of Service (ReDoS) issueShow less

Running DDoS on tcp port 22 will trigger a kernel crash. This issue is introduced by the backport of a commit regarding nft_lookup without the subsequent fixes that were introduced after this commit. The resolution of this CVE introduces those commits to the linux-bluefield package.Show less

A vulnerability was found in zhangyd-c OneBlog up to 2.3.9. It has been classified as problematic. Affected is an unknown function of the component HTTP Header Handler. The manipulation of the argument X-Forwarded-For leads to inefficient regular expression complexity. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.Show less

A Regular Expression Denial of Service (ReDoS) vulnerability exists in lunary-ai/lunary version git f07a845. The server uses the regex /{.*?}/ to match user-controlled strings. In the default JavaScript regex engine, this regex can take polynomial time to match certain crafted user inputs. As a result, an attacker can cause the server to hang for an arbitrary amount of time by submitting a specially crafted payload. This issue is fixed in version 1.4.26.Show less

Lunary-ai/lunary version git 105a3f6 is vulnerable to a Regular Expression Denial of Service (ReDoS) attack. The application allows users to upload their own regular expressions, which are then executed on the server side. Certain regular expressions can have exponential runtime complexity relative to the input size, leading to potential denial of service. An attacker can exploit this by submitting a specially crafted regular expression, causing the server to become unresponsive for an arbitrary length of time.Show less

A vulnerability in lunary-ai/lunary, as of commit be54057, allows users to upload and execute arbitrary regular expressions on the server side. This can lead to a Denial of Service (DoS) condition, as certain regular expressions can cause excessive resource consumption, blocking the server from processing other requests.Show less

A Regular Expression Denial of Service (ReDoS) vulnerability exists in the lunary-ai/lunary repository, specifically in the compileTextTemplate function. The affected version is git be54057. An attacker can exploit this vulnerability by manipulating the regular expression /{{(.*?)}}/g, causing the server to hang indefinitely and become unresponsive to any requests. This is due to the regular expression's susceptibility to second-degree polynomial time complexity, which can be triggered by a large number of braces in the input.Show less

A vulnerability in danswer-ai/danswer version 1 allows an attacker to perform a Regular Expression Denial of Service (ReDoS) by manipulating regular expressions. This can significantly slow down the application's response time and potentially render it completely unusable.Show less

A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, specifically in the file tokenization_nougat_fast.py. The vulnerability occurs in the post_process_single() function, where a regular expression processes specially crafted input. The issue stems from the regex exhibiting exponential time complexity under certain conditions, leading to excessive backtracking. This can result in significantly high CPU usage and potential application downtime, effectively creating a Denial of Service (DoS) scenario. The affected version is v4.46.3 (latest).Show less

A vulnerability in binary-husky/gpt_academic, as of commit 310122f, allows for a Regular Expression Denial of Service (ReDoS) attack. The function '解析项目源码（手动指定和筛选源码文件类型）' permits the execution of user-provided regular expressions. Certain regular expressions can cause the Python RE engine to take exponential time to execute, leading to a Denial of Service (DoS) condition. An attacker who controls both the regular expression and the search string can exploit this vulnerability to hang the server for an arbitrary amount of time.Show less

A vulnerability in binary-husky/gpt_academic version 310122f allows for a Regular Expression Denial of Service (ReDoS) attack. The application uses a regular expression to parse user input, which can take polynomial time to match certain crafted inputs. This allows an attacker to send a small malicious payload to the server, causing it to become unresponsive and unable to handle any requests from other users.Show less

A Regular Expression Denial of Service (ReDoS) vulnerability exists in gaizhenbiao/chuanhuchatgpt, as of commit 20b2e02. The server uses the regex pattern `r'<[^>]+>'` to parse user input. In Python's default regex engine, this pattern can take polynomial time to match certain crafted inputs. An attacker can exploit this by uploading a malicious JSON payload, causing the server to consume 100% CPU for an extended period. This can lead to a Denial of Service (DoS) condition, potentially affecting the entire server.Show less

A Regular Expression Denial of Service (ReDoS) vulnerability exists in the gradio-app/gradio repository, affecting the gr.Datetime component. The affected version is git commit 98cbcae. The vulnerability arises from the use of a regular expression `^(?:\s*now\s*(?:-\s*(\d+)\s*([dmhs]))?)?\s*$` to process user input. In Python's default regex engine, this regular expression can take polynomial time to match certain crafted inputs. An attacker can exploit this by sending a crafted HTTP request, causing the gradio process to consume 100% CPU and potentially leading to a Denial of Service (DoS) condition on the server.Show less

A vulnerability in the `/3/ParseSetup` endpoint of h2oai/h2o-3 version 3.46.0.1 allows for a denial of service (DoS) attack. The endpoint applies a user-specified regular expression to a user-controllable string. This can be exploited by an attacker to cause inefficient regular expression complexity, leading to the exhaustion of server resources and making the server unresponsive.Show less

A vulnerability in the `/3/Parse` endpoint of h2oai/h2o-3 version 3.46.0.1 allows for a denial of service (DoS) attack. The endpoint uses a user-specified string to construct a regular expression, which is then applied to another user-specified string. By sending multiple simultaneous requests, an attacker can exhaust all available threads, leading to a complete denial of service.Show less