Vulnerability from bitnami_vulndb
Published
2026-09-21 09:07
Modified
2026-09-21 09:26
Summary
tarfile extraction filters allow file modification and content disclosure via hard link to symlink
Details
In CPython 3.13 and earlier, the tarfile module's data and tar extraction filters are vulnerable to crafted archives containing a hard link to a symbolic link. Such archives may cause extraction to modify the permissions or modification time of a file outside the destination directory, or expose the contents of that file within the extracted tree.
{
"affected": [
{
"package": {
"ecosystem": "Bitnami",
"name": "python",
"purl": "pkg:bitnami/python"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.14.0"
}
],
"type": "SEMVER"
}
],
"severity": [
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
],
"aliases": [
"CVE-2026-82049"
],
"database_specific": {
"cpes": [
"cpe:2.3:a:python:python:*:*:*:*:*:*:*:*"
],
"severity": "High"
},
"details": "In CPython 3.13 and earlier, the tarfile\u00a0module\u0027s data\u00a0and tar extraction filters are vulnerable to crafted archives containing a hard link to a symbolic link. Such archives may cause extraction to modify the permissions or modification time of a file outside the destination directory, or expose the contents of that file within the extracted tree.",
"id": "BIT-python-2026-82049",
"modified": "2026-09-21T09:26:48.669Z",
"published": "2026-09-21T09:07:26.646Z",
"references": [
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2026/09/14/27"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/commit/5a57248b22ad3b9aafcaaadae2c304a1923daeca"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/commit/b38be2e6cf9d989075ab73412c63e003ebad4ff3"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/commit/b8f23e307097552eaea2604383a12ab280520d0d"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/issues/157190"
},
{
"type": "WEB",
"url": "https://github.com/python/cpython/pull/157191"
},
{
"type": "WEB",
"url": "https://mail.python.org/archives/list/security-announce@python.org/thread/EFJWGAZJA56AKSBR2WHMHQZO7RRLZPRH/"
},
{
"type": "WEB",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-82049"
}
],
"schema_version": "1.6.2",
"summary": "tarfile extraction filters allow file modification and content disclosure via hard link to symlink"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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