SUSE-SU-2026:21999-1
Vulnerability from csaf_suse - Published: 2026-05-29 14:26 - Updated: 2026-05-29 14:26Summary
Security update for python-python-multipart
Severity
Important
Notes
Title of the patch: Security update for python-python-multipart
Description of the patch: This update for python-python-multipart fixes the following issues
- CVE-2026-40347: crafted `multipart/form-data` can cause a denial of service (bsc#1262403).
- CVE-2026-42561: denial of service vulnerability in multipart part header parsing (bsc#1265250).
Patchnames: SUSE-SLES-16.0-827
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
5.3 (Medium)
Affected products
Recommended
2 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-python-multipart-0.0.20-160000.4.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-python-multipart-0.0.20-160000.4.1.noarch | — |
Vendor Fix
|
Threats
Impact
moderate
7.5 (High)
Affected products
Recommended
2 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-python-multipart-0.0.20-160000.4.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-python-multipart-0.0.20-160000.4.1.noarch | — |
Vendor Fix
|
Threats
Impact
important
References
12 references
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"text": "Python-Multipart is a streaming multipart parser for Python. Versions prior to 0.0.26 have a denial of service vulnerability when parsing crafted `multipart/form-data` requests with large preamble or epilogue sections. Upgrade to version 0.0.26 or later, which skips ahead to the next boundary candidate when processing leading CR/LF data and immediately discards epilogue data after the closing boundary.",
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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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