CVE-2026-41608 (GCVE-0-2026-41608)
Vulnerability from cvelistv5 – Published: 2026-07-27 10:53 – Updated: 2026-07-27 11:07
VLAI
EPSS
VEX
Title
Apache Thrift: Unbounded Zlib Decompression in Python THeaderTransport
Summary
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
No CVSS data available.
CWE
- CWE-409 - Improper Handling of Highly Compressed Data (Data Amplification)
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://lists.apache.org/thread/7v3jhgwfbmhx42424… | vendor-advisory |
| https://lists.apache.org/thread/vwsbcwqdpwdtp8qkj… | vendor-advisory |
| http://www.openwall.com/lists/oss-security/2026/0… |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache Thrift |
Affected:
0 , < 0.24.0
(semver)
|
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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.
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