7.5

CVE-2021-43854

Exploit

Inefficient Regular Expression Complexity in nltk

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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
NltkNltk Version < 3.6.5
Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 2.67% 0.838
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 5 10 2.9
AV:N/AC:L/Au:N/C:N/I:N/A:P
security-advisories@github.com 7.5 3.9 3.6
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE-400 Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource.

https://github.com/nltk/nltk/commit/1405aad979c6b8080dbbc8e0858f89b2e3690341
Patch
Third Party Advisory
https://github.com/nltk/nltk/issues/2866
Patch
Third Party Advisory
Exploit
Issue Tracking
https://github.com/nltk/nltk/pull/2869
Patch
Third Party Advisory
Exploit
https://github.com/nltk/nltk/security/advisories/GHSA-f8m6-h2c7-8h9x
Patch
Third Party Advisory
Exploit