Where
-Infinity
0
Severity
7.5
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Last updated 24 March 2025

1 / 3
Source: Ubuntu
First published (updated )
Severity
7.5
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Impact The vulnerability is present in PunktSentenceTokenizer, senttokenize and wordtokenize. Any users of this class, or these two functions, are vulnerable to a Regular Expression Denial of Service (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. The effect of this vulnerability is noticeable with the following example: python from nltk.tokenize import wordtokenize

n = 8 for length in [10i for i in range(2, n)]: # Prepare a malicious input text = "a" length startt = time.time() # Call wordtokenize and naively measure the execution time wordtokenize(text) print(f"A length of {length:<{n}} takes {time.time() - startt:.4f}s") Which gave the following output during testing: python A length of 100 takes 0.0060s A length of 1000 takes 0.0060s A length of 10000 takes 0.6320s A length of 100000 takes 56.3322s ... I canceled the execution of the program after running it for several hours.

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, or applying the workaround described below.

Patches The problem has been patched in NLTK 3.6.6. After the fix, running the above program gives the following result: python A length of 100 takes 0.0070s A length of 1000 takes 0.0010s A length of 10000 takes 0.0060s A length of 100000 takes 0.0400s A length of 1000000 takes 0.3520s A length of 10000000 takes 3.4641s This output shows a linear relationship in execution time versus input length, which is desirable for regular expressions. We recommend updating to NLTK 3.6.6+ if possible.

Workarounds The execution time of the vulnerable functions is exponential to the length of a malicious input. With other words, 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.

References The issue showcasing the vulnerability: https://github.com/nltk/nltk/issues/2866 The pull request containing considerably more information on the vulnerability, and the fix: https://github.com/nltk/nltk/pull/2869 The commit containing the fix: 1405aad979c6b8080dbbc8e0858f89b2e3690341 Information on CWE-1333: Inefficient Regular Expression Complexity: https://cwe.mitre.org/data/definitions/1333.html

For more information If you have any questions or comments about this advisory: Open an issue in github.com/nltk/nltk Email us at nltk.team@gmail.com

1 / 3
Source: GitHub
First published (updated )
Severity
7.5
Path Traversal
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N

NLTK Downloader before 3.4.5 is vulnerable to a directory traversal, allowing attackers to write arbitrary files via a ../ (dot dot slash) in an NLTK package (ZIP archive) that is mishandled during extraction.

1 / 2
First published (updated )

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