7.5
CVE-2021-43854
- EPSS 2.67%
- Veröffentlicht 23.12.2021 18:15:07
- Zuletzt bearbeitet 21.11.2024 06:29:56
- CVE-Watchlists
- Unerledigt
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.
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 2.67% | 0.838 |
| 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
https://github.com/nltk/nltk/issues/2866
https://github.com/nltk/nltk/pull/2869
https://github.com/nltk/nltk/security/advisories/GHSA-f8m6-h2c7-8h9x