Описание
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 PunktSentenceTokenizer, sent_tokenize and word_tokenize. Any users of this class, or these two functions, are vulnerable to the ReDoS attack. In short, a specifically crafted long input to any of these vulnerable functions will cause them to take a significant amount of execution time. If your program relies on any of the vulnerable functions for tokenizing unpredictable user input, then we would strongly recommend upgrading to a version of NLTK without the vulnerability. For users unable to upgrade the execution time can be bounded by limiting the maximum length of an input to any of the vulnerable functions. Our recommendation is to implement such a limit.
Ссылки
- PatchThird Party Advisory
- ExploitIssue TrackingPatchThird Party Advisory
- ExploitPatchThird Party Advisory
- ExploitPatchThird Party Advisory
- PatchThird Party Advisory
- ExploitIssue TrackingPatchThird Party Advisory
- ExploitPatchThird Party Advisory
- ExploitPatchThird Party Advisory
Уязвимые конфигурации
EPSS
7.5 High
CVSS3
5 Medium
CVSS2
Дефекты
Связанные уязвимости
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 PunktSentenceTokenizer, sent_tokenize and word_tokenize. Any users of this class, or these two functions, are vulnerable to the ReDoS attack. In short, a specifically crafted long input to any of these vulnerable functions will cause them to take a significant amount of execution time. If your program relies on any of the vulnerable functions for tokenizing unpredictable user input, then we would strongly recommend upgrading to a version of NLTK without the vulnerability. For users unable to upgrade the execution time can be bounded by limiting the maximum length of an input to any of the vulnerable functions. Our recommendation is to implement such a limit.
NLTK (Natural Language Toolkit) is a suite of open source Python modul ...
Inefficient Regular Expression Complexity in nltk (word_tokenize, sent_tokenize)
EPSS
7.5 High
CVSS3
5 Medium
CVSS2