Vulnerabilites related to nltk - nltk
CVE-2019-14751 (GCVE-0-2019-14751)
Vulnerability from cvelistv5
Published
2019-08-22 15:59
Modified
2024-08-05 00:26
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- n/a
Summary
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.
References
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CVE-2021-43854 (GCVE-0-2021-43854)
Vulnerability from cvelistv5
Published
2021-12-23 17:55
Modified
2024-08-04 04:10
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-400 - Uncontrolled Resource Consumption
Summary
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.
References
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CVE-2021-3828 (GCVE-0-2021-3828)
Vulnerability from cvelistv5
Published
2021-09-27 12:25
Modified
2024-08-03 17:09
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-1333 - Inefficient Regular Expression Complexity
Summary
nltk is vulnerable to Inefficient Regular Expression Complexity
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CVE-2021-3842 (GCVE-0-2021-3842)
Vulnerability from cvelistv5
Published
2022-01-04 14:50
Modified
2024-08-03 17:09
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-1333 - Inefficient Regular Expression Complexity
Summary
nltk is vulnerable to Inefficient Regular Expression Complexity
References
| ► | URL | Tags | ||||||
|---|---|---|---|---|---|---|---|---|
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Vulnerability from fkie_nvd
Published
2021-09-27 13:15
Modified
2024-11-21 06:22
Severity ?
Summary
nltk is vulnerable to Inefficient Regular Expression Complexity
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://github.com/nltk/nltk/commit/277711ab1dec729e626b27aab6fa35ea5efbd7e6 | Patch, Third Party Advisory | |
| security@huntr.dev | https://huntr.dev/bounties/d19aed43-75bc-4a03-91a0-4d0bb516bc32 | Exploit, Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/nltk/nltk/commit/277711ab1dec729e626b27aab6fa35ea5efbd7e6 | Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.dev/bounties/d19aed43-75bc-4a03-91a0-4d0bb516bc32 | Exploit, Patch, Third Party Advisory |
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Vulnerability from fkie_nvd
Published
2021-12-23 18:15
Modified
2024-11-21 06:29
Severity ?
Summary
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.
References
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Vulnerability from fkie_nvd
Published
2019-08-22 16:15
Modified
2024-11-21 04:27
Severity ?
Summary
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.
References
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{
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{
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],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
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{
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"value": "CWE-22"
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"source": "nvd@nist.gov",
"type": "Primary"
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}
Vulnerability from fkie_nvd
Published
2022-01-04 15:15
Modified
2024-11-21 06:22
Severity ?
Summary
nltk is vulnerable to Inefficient Regular Expression Complexity
References
| ▶ | URL | Tags | |
|---|---|---|---|
| security@huntr.dev | https://github.com/nltk/nltk/commit/2a50a3edc9d35f57ae42a921c621edc160877f4d | Patch, Third Party Advisory | |
| security@huntr.dev | https://huntr.dev/bounties/761a761e-2be2-430a-8d92-6f74ffe9866a | Exploit, Issue Tracking, Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/nltk/nltk/commit/2a50a3edc9d35f57ae42a921c621edc160877f4d | Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.dev/bounties/761a761e-2be2-430a-8d92-6f74ffe9866a | Exploit, Issue Tracking, Patch, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| nltk | nltk | * | |
| debian | debian_linux | 9.0 | |
| debian | debian_linux | 10.0 | |
| debian | debian_linux | 11.0 | |
| fedoraproject | fedora | 35 |
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"criteria": "cpe:2.3:a:nltk:nltk:*:*:*:*:*:*:*:*",
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"versionEndExcluding": "3.6.6",
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"cveTags": [],
"descriptions": [
{
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"value": "nltk is vulnerable to Inefficient Regular Expression Complexity"
},
{
"lang": "es",
"value": "nltk es vulnerable a una Complejidad de Expresi\u00f3n Regular Ineficiente"
}
],
"id": "CVE-2021-3842",
"lastModified": "2024-11-21T06:22:36.753",
"metrics": {
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"baseSeverity": "MEDIUM",
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"accessVector": "NETWORK",
"authentication": "NONE",
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"baseScore": 5.0,
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"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
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"obtainAllPrivilege": false,
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"source": "nvd@nist.gov",
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"published": "2022-01-04T15:15:07.833",
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"vulnStatus": "Modified",
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}