OPENSUSE-SU-2026:20650-1
Vulnerability from csaf_opensuse - Published: 2026-04-29 14:17 - Updated: 2026-04-29 14:17Summary
Security update for python-PyNaCl
Severity
Moderate
Notes
Title of the patch: Security update for python-PyNaCl
Description of the patch: This update for python-PyNaCl fixes the following issues:
Security fixes:
- CVE-2025-69277: incorrect validation of elliptic curve points certain custom cryptography or untrusted data to
crypto_core_ed25519_is_valid_point function (bsc#1255764).
Other fixes:
- update to 1.6.2 (bsc#1255764, CVE-2025-69277):
* Updated libsodium to 1.0.20-stable (2025-12-31 build)
- Update to 1.6.1
* The ``MAKE`` environment variable can now be used to specify
the ``make`` binary that should be used in the build process.
- update to 1.6.0:
* BACKWARDS INCOMPATIBLE: Removed support for Python 3.6 and
3.7.
* Added support for the low level AEAD AES bindings.
* Added support for crypto_core_ed25519_from_uniform.
* Update libsodium to 1.0.20-stable (2025-08-27 build).
* Added support for free-threaded Python 3.14.
* Added support for Windows on ARM wheels.
- Update in SLE-15 (bsc#1199282, jsc#PM-3243, jsc#SLE-24629)
- python-PyNaCl requires python-cffi [bsc#1161557]
Patchnames: openSUSE-Leap-16.0-658
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
4.4 (Medium)
Affected products
Recommended
4 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Leap 16.0:python313-PyNaCl-1.6.2-160000.1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:python313-PyNaCl-1.6.2-160000.1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:python313-PyNaCl-1.6.2-160000.1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:python313-PyNaCl-1.6.2-160000.1.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
moderate
References
8 references
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"text": "libsodium before ad3004e, in atypical use cases involving certain custom cryptography or untrusted data to crypto_core_ed25519_is_valid_point, mishandles checks for whether an elliptic curve point is valid because it sometimes allows points that aren\u0027t in the main cryptographic group.",
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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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