Red Hat Security Advisory: python-tornado security update
Python is an interpreted, interactive, object-oriented programming language, which includes modules, classes, exceptions, very high level dynamic data types and dynamic typing. Python supports interfaces to many system calls and libraries, as well as to various windowing systems. Security Fix(es): * tornado: Tornado Multipart Form-Data Denial of Service (CVE-2025-47287) For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.
AI Analysis
Technical Summary
CVE-2025-47287 is a denial of service vulnerability in the Tornado Python web framework related to the processing of multipart form-data. This vulnerability is tracked under CWE-770 (Allocation of Resources Without Limits or Throttling). Red Hat Product Security has released an update for python-tornado in Red Hat Enterprise Linux 10 to fix this issue. The advisory references Red Hat Security Advisory RHSA-2025:8135 and provides updated package versions (python-tornado-6.4.2-1.el10_0.1) that include the fix. No CVSS score is provided in the advisory.
Potential Impact
Successful exploitation of this vulnerability could allow an attacker to cause a denial of service condition by exhausting resources during multipart form-data processing in Tornado. This could impact availability of applications using the affected python-tornado package on Red Hat Enterprise Linux 10 systems.
Mitigation Recommendations
Red Hat has released an updated python-tornado package version 6.4.2-1.el10_0.1 that addresses this vulnerability. Users should apply the update as described in Red Hat advisory RHSA-2025:8135 and the referenced article https://access.redhat.com/articles/11258 to remediate this issue. No other mitigation steps are indicated by the vendor.
Red Hat Security Advisory: python-tornado security update
Description
Python is an interpreted, interactive, object-oriented programming language, which includes modules, classes, exceptions, very high level dynamic data types and dynamic typing. Python supports interfaces to many system calls and libraries, as well as to various windowing systems. Security Fix(es): * tornado: Tornado Multipart Form-Data Denial of Service (CVE-2025-47287) For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.
Affected software
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-47287 is a denial of service vulnerability in the Tornado Python web framework related to the processing of multipart form-data. This vulnerability is tracked under CWE-770 (Allocation of Resources Without Limits or Throttling). Red Hat Product Security has released an update for python-tornado in Red Hat Enterprise Linux 10 to fix this issue. The advisory references Red Hat Security Advisory RHSA-2025:8135 and provides updated package versions (python-tornado-6.4.2-1.el10_0.1) that include the fix. No CVSS score is provided in the advisory.
Potential Impact
Successful exploitation of this vulnerability could allow an attacker to cause a denial of service condition by exhausting resources during multipart form-data processing in Tornado. This could impact availability of applications using the affected python-tornado package on Red Hat Enterprise Linux 10 systems.
Mitigation Recommendations
Red Hat has released an updated python-tornado package version 6.4.2-1.el10_0.1 that addresses this vulnerability. Users should apply the update as described in Red Hat advisory RHSA-2025:8135 and the referenced article https://access.redhat.com/articles/11258 to remediate this issue. No other mitigation steps are indicated by the vendor.
Technical Details
- Gcve Source
- db.gcve.eu
- Csaf Category
- csaf_security_advisory
- Csaf Version
- 2.0
- Publisher
- Red Hat Product Security
- Advisory Id
- RHSA-2025:8664
- Cve Count
- 1
Threat ID: 6a4049e227e9c79719832ebe
Added to database: 06/27/2026, 22:08:34 UTC
Last enriched: 07/12/2026, 11:20:20 UTC
Last updated: 09/10/2026, 19:36:50 UTC
Views: 18
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