SUSE-SU-2026:20960-1
Vulnerability from csaf_suse - Published: 2026-04-01 10:05 - Updated: 2026-09-20 18:37Summary
Security update for python-pyOpenSSL
Severity
Important
Notes
Title of the patch: Security update for python-pyOpenSSL
Description of the patch: This update for python-pyOpenSSL fixes the following issues:
- CVE-2026-27448: unhandled exception can result in connection not being cancelled (bsc#1259804).
- CVE-2026-27459: large cookie value can lead to a buffer overflow (bsc#1259808).
Patchnames: SUSE-SLE-Micro-6.0-649
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
Affected products
Recommended
1 product
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Linux Micro 6.0:python311-pyOpenSSL-0:24.0.0-2.1.noarch | — |
Vendor Fix
|
Threats
Impact
low
Affected products
Recommended
1 product, the same list as for
CVE-2026-27448
Threats
Impact
important
References
12 references
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"title": "Description of the patch"
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{
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{
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"summary": "URL for SUSE-SU-2026:20960-1",
"url": "https://www.suse.com/support/update/announcement/2026/suse-su-202620960-1/"
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{
"category": "self",
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"url": "https://lists.suse.com/pipermail/sle-updates/2026-April/045279.html"
},
{
"category": "self",
"summary": "SUSE Bug 1259804",
"url": "https://bugzilla.suse.com/1259804"
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{
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"title": "Security update for python-pyOpenSSL",
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"revision_history": [
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{
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"product_tree": {
"branches": [
{
"branches": [
{
"branches": [
{
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"product": {
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"product_id": "python311-pyOpenSSL-0:24.0.0-2.1.noarch",
"product_identification_helper": {
"cpe": "cpe:2.3:a:pyopenssl:pyopenssl:24.0.0:*:*:*:*:*:*:*",
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"vulnerabilities": [
{
"cve": "CVE-2026-27448",
"ids": [
{
"system_name": "SUSE CVE Page",
"text": "https://www.suse.com/security/cve/CVE-2026-27448"
}
],
"notes": [
{
"category": "general",
"text": "pyOpenSSL is a Python wrapper around the OpenSSL library. Starting in version 0.14.0 and prior to version 26.0.0, if a user provided callback to `set_tlsext_servername_callback` raised an unhandled exception, this would result in a connection being accepted. If a user was relying on this callback for any security-sensitive behavior, this could allow bypassing it. Starting in version 26.0.0, unhandled exceptions now result in rejecting the connection.",
"title": "CVE description"
}
],
"product_status": {
"recommended": [
"SUSE Linux Micro 6.0:python311-pyOpenSSL-0:24.0.0-2.1.noarch"
]
},
"references": [
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"url": "https://www.suse.com/security/cve/CVE-2026-27448"
},
{
"category": "external",
"summary": "SUSE Bug 1259804 for CVE-2026-27448",
"url": "https://bugzilla.suse.com/1259804"
}
],
"remediations": [
{
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"product_ids": [
"SUSE Linux Micro 6.0:python311-pyOpenSSL-0:24.0.0-2.1.noarch"
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}
],
"scores": [
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"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N",
"version": "3.1"
},
"products": [
"SUSE Linux Micro 6.0:python311-pyOpenSSL-0:24.0.0-2.1.noarch"
]
}
],
"threats": [
{
"category": "impact",
"date": "2026-04-01T10:05:58Z",
"details": "low"
}
],
"title": "CVE-2026-27448"
},
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"text": "https://www.suse.com/security/cve/CVE-2026-27459"
}
],
"notes": [
{
"category": "general",
"text": "pyOpenSSL is a Python wrapper around the OpenSSL library. Starting in version 22.0.0 and prior to version 26.0.0, if a user provided callback to `set_cookie_generate_callback` returned a cookie value greater than 256 bytes, pyOpenSSL would overflow an OpenSSL provided buffer. Starting in version 26.0.0, cookie values that are too long are now rejected.",
"title": "CVE description"
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],
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{
"category": "external",
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"url": "https://bugzilla.suse.com/1259808"
}
],
"remediations": [
{
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"details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n",
"product_ids": [
"SUSE Linux Micro 6.0:python311-pyOpenSSL-0:24.0.0-2.1.noarch"
]
}
],
"scores": [
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"baseSeverity": "HIGH",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H",
"version": "3.1"
},
"products": [
"SUSE Linux Micro 6.0:python311-pyOpenSSL-0:24.0.0-2.1.noarch"
]
}
],
"threats": [
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"category": "impact",
"date": "2026-04-01T10:05:58Z",
"details": "important"
}
],
"title": "CVE-2026-27459"
}
]
}
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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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