CVE-2021-43854

Published at:
2021-12-23T18:15:07.327

Global infos:

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.

CVE Status: Modified

References:

  • [email protected]
  • [email protected]
  • [email protected]
  • [email protected]
  • af854a3a-2127-422b-91ae-364da2661108
  • af854a3a-2127-422b-91ae-364da2661108
  • af854a3a-2127-422b-91ae-364da2661108
  • af854a3a-2127-422b-91ae-364da2661108
  • Metrics:

    AttributeValue
    Attack ComplexityLOW
    Attack VectorNETWORK
    Availability ImpactHIGH
    Base Score7.5
    Base SeverityHIGH
    Confidentiality ImpactNONE
    Integrity ImpactNONE
    Privileges RequiredNONE
    ScopeUNCHANGED
    User InteractionNONE
    Vector StringCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
    Exploitability Score3.9
    Impact Score3.6
    Source[email protected]
    TypeSecondary

    Links:

    Exploit-db
    Github