SUSE-SU-2026:23136-1
Vulnerability from csaf_suse - Published: 2026-08-03 10:37 - Updated: 2026-09-16 20:11Summary
Security update for python-ujson
Severity
Important
Notes
Title of the patch: Security update for python-ujson
Description of the patch: This update for python-ujson fixes the following issue:
- CVE-2026-44660: failing to decrement a serialized JSON object during a write exception in ujson.dump() can lead to
memory leaks (bsc#1270301).
Patchnames: SUSE-SLES-16.0-1423
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
7.5 (High)
Affected products
Recommended
8 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-ujson-5.10.0-160000.3.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-ujson-5.10.0-160000.3.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-ujson-5.10.0-160000.3.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 16.0:python313-ujson-5.10.0-160000.3.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-ujson-5.10.0-160000.3.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-ujson-5.10.0-160000.3.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-ujson-5.10.0-160000.3.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server for SAP applications 16.0:python313-ujson-5.10.0-160000.3.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
important
References
8 references
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"text": "UltraJSON is a fast JSON encoder and decoder written in pure C with bindings for Python 3.7+. Prior to 5.12.1, when ujson.dump() writes to a file-like object and the write operation raises an exception, the serialized JSON string object is not decremented, leaking memory. Each failed write operation leaks the full size of the serialized payload. This vulnerability is fixed in 5.12.1.",
"title": "CVE description"
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{
"category": "vendor_fix",
"details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n",
"product_ids": [
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"scores": [
{
"cvss_v3": {
"baseScore": 7.5,
"baseSeverity": "HIGH",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
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"threats": [
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"date": "2026-08-03T10:37:39Z",
"details": "important"
}
],
"title": "CVE-2026-44660"
}
]
}
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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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