PYSEC-2026-3925
Vulnerability from pysec - Published: 2026-09-10 09:44 - Updated: 2026-09-10 11:02
VLAI
Details
Improper Handling of Highly Compressed Data (Data Amplification) vulnerability in Apache Thrift Python bindings.
This issue affects Apache Thrift: before 0.24.0.
Users are recommended to upgrade to version 0.24.0, which fixes the issue.
Severity
7.5 (High)
Impacted products
| Name | purl | thrift | pkg:pypi/thrift |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "thrift",
"purl": "pkg:pypi/thrift"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.24.0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.10.0",
"0.11.0",
"0.13.0",
"0.14.0",
"0.14.1",
"0.14.2",
"0.15.0",
"0.16.0",
"0.20.0",
"0.21.0",
"0.22.0",
"0.23.0",
"0.8.0",
"0.9.0",
"0.9.1",
"0.9.2",
"0.9.3"
]
}
],
"aliases": [
"CVE-2026-41608",
"GHSA-6pjx-3pjc-mrj8"
],
"details": "Improper Handling of Highly Compressed Data (Data Amplification) vulnerability in Apache Thrift Python bindings.\n\nThis issue affects Apache Thrift: before 0.24.0.\n\nUsers are recommended to upgrade to version 0.24.0, which fixes the issue.",
"id": "PYSEC-2026-3925",
"modified": "2026-09-10T11:02:33.835375Z",
"published": "2026-09-10T09:44:50.905608Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-41608"
},
{
"type": "PACKAGE",
"url": "https://github.com/apache/thrift"
},
{
"type": "WEB",
"url": "https://lists.apache.org/thread/7v3jhgwfbmhx42424phydlnzb109g8b9"
},
{
"type": "WEB",
"url": "https://lists.apache.org/thread/vwsbcwqdpwdtp8qkjo11ol6rodbfm21f"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2026/07/24/32"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/thrift"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-6pjx-3pjc-mrj8"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Apache Thrift Python bindings have an Improper Handling of Highly Compressed Data (Data Amplification) vulnerability"
}
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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.
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.
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