SOC status:Duty analyst on shift

UK Cyber Defence
VulnerabilityModified

CVE-2021-43854

Versions prior to 3.6.5 are vulnerable to regular expression denial of service (ReDoS) attacks.

HIGH 7.5EPSS 2.67%

Does this matter?

High impact if exploited, but EPSS currently rates exploitation as unlikely (2.67%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.

Description

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.

CVSS 3.1
7.5 HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS
2.67% probability · 85th percentile
CISA KEV
Not listed
Weakness
CWE-400
Affected
nltk/nltk
Source
security-advisories@github.com

References

Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.