418 matches found
CVE-2022-25758
All versions of package scss-tokenizer are vulnerable to Regular Expression Denial of Service ReDoS via the loadAnnotation function, due to the usage of insecure regex...
CVE-2022-25758
All versions of package scss-tokenizer are vulnerable to Regular Expression Denial of Service ReDoS via the loadAnnotation function, due to the usage of insecure regex...
UBUNTU-CVE-2022-25758
All versions of package scss-tokenizer are vulnerable to Regular Expression Denial of Service ReDoS via the loadAnnotation function, due to the usage of insecure regex...
CVE-2022-25758 Regular Expression Denial of Service (ReDoS)
All versions of package scss-tokenizer are vulnerable to Regular Expression Denial of Service ReDoS via the loadAnnotation function, due to the usage of insecure regex...
CVE-2022-25758
CVE-2022-25758 affects the scss-tokenizer package: every version is vulnerable to a ReDoS via loadAnnotation() caused by insecure regex. Exploitation is described as remote, enabling Denial of Service. Remediation is to upgrade IBM WebMethods Cloud Pak System components to supported versions; IBM...
CVE-2022-25758
All versions of package scss-tokenizer are vulnerable to Regular Expression Denial of Service ReDoS via the loadAnnotation function, due to the usage of insecure regex...
CVE-2022-25758
All versions of package scss-tokenizer are vulnerable to Regular Expression Denial of Service ReDoS via the loadAnnotation function, due to the usage of insecure regex...
PT-2022-17493 · Unknown · Scss-Tokenizer
Name of the Vulnerable Software and Affected Versions: scss-tokenizer versions prior to 0.4.3 Description: The issue is related to a Regular Expression Denial of Service ReDoS in the scss-tokenizer package. This occurs via the loadAnnotation function due to the usage of insecure regex...
scss-tokenizer 安全漏洞
scss-tokenizer is Sass Tools open source a Sass SCSS syntax of the splitter . scss-tokenizer has a security vulnerability , the vulnerability stems from the use of insecure regular expressions , all versions of the package scss-tokenizer are susceptible to regular expression denial of service ReD...
CVE-2022-25758: Inefficient Regular Expression Complexity
All versions of package scss-tokenizer are vulnerable to Regular Expression Denial of Service ReDoS via the loadAnnotation function, due to the usage of insecure regex...
-tompan-reacttemplate (>=1.0.1, <=1.1.0), 08cms (1.0.0) +17624 more potentially affected by CVE-2022-25758 via scss-tokenizer (>=0.1.2, <=0.4.2)
scss-tokenizer NPM version =0.1.2, =1.0.1, =1.0.4, =1.0.3, =0.2.0, =0.0.1, =0.1.0, =0.1.0, =0.1.276 - 5coder-pages 0.2.0 and more Source cves: CVE-2022-25758 Source advisory: SNYK:JS-SCSSTOKENIZER-2339884...
Regular Expression Denial of Service (ReDoS)
Overview Affected versions of this package are vulnerable to Regular Expression Denial of Service ReDoS via the loadAnnotation function, due to the usage of insecure regex. PoC js var scss = require"scss-tokenizer" function buildattackn var ret = "a" for var i = 0; i n; i++ ret += "/...
GHSA-F8M6-H2C7-8H9X Inefficient Regular Expression Complexity in nltk (word_tokenize, sent_tokenize)
Impact The vulnerability is present in PunktSentenceTokenizer, senttokenize and wordtokenize. Any users of this class, or these two functions, are vulnerable to a Regular Expression Denial of Service ReDoS attack. In short, a specifically crafted long input to any of these vulnerable functions wi...
DEBIAN-CVE-2021-43854
NLTK Natural Language Toolkit is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Versions prior to 3.6.5 are vulnerable to regular expression denial of service ReDoS attacks. The vulnerability is present in...
PYSEC-2021-859
NLTK Natural Language Toolkit is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Versions prior to 3.6.5 are vulnerable to regular expression denial of service ReDoS attacks. The vulnerability is present in...
UBUNTU-CVE-2021-43854
NLTK Natural Language Toolkit is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Versions prior to 3.6.5 are vulnerable to regular expression denial of service ReDoS attacks. The vulnerability is present in...
PYSEC-2021-859
NLTK Natural Language Toolkit is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Versions prior to 3.6.5 are vulnerable to regular expression denial of service ReDoS attacks. The vulnerability is present in...
Regular Expression Denial Of Service (ReDoS)
js-beautify is vulnerable to regular expression denial of service ReDoS attacks. An attacker is able to manipulate the application by inserting specifically crafted input string via the Tokenizer function, resulting in denial of service conditions...
The vulnerability of the QPDFTokenizer::resolveLiteral function in the command-line utility for converting QPDF documents allows a attacker to cause a service failure.
The vulnerability of the QPDFTokenizer::resolveLiteral function in the command-line PDF conversion utility for QPDF documents involves infinite loop execution. Exploiting this vulnerability could allow an attacker to cause service interruptions...
Qualcomm QCMAP Web Code Issue Vulnerability
Qualcomm QCMAP is a data access point for Linux-based cell phones from Qualcomm Incorporated. Qualcomm QCMAP Web October 2020 Release A security vulnerability exists in the client-side binary code that does not validate the return value of the strstr or strchr call in the Tokenizer function, whic...