OESA-2026-3279 (CVE-2026-59881)
Vulnerability from osv_openeuler – Published: 2026-08-07 06:59 – Updated: 2026-08-07 06:59 – Source website
VLAI
Summary
python-aiohttp security update
Details
Async http client/server framework (asyncio).
Security Fix(es):
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.2, the WebSocket client accepts and decompresses frames with the RSV1 bit set even when the permessage-deflate extension was not negotiated, allowing a malicious server to cause unexpected CPU and memory consumption. This issue is fixed in version 3.14.2.(CVE-2026-59881)
Severity
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"aarch64": [
"python-aiohttp-debuginfo-3.14.3-1.oe2403sp1.aarch64.rpm",
"python-aiohttp-debugsource-3.14.3-1.oe2403sp1.aarch64.rpm",
"python-aiohttp-help-3.14.3-1.oe2403sp1.aarch64.rpm",
"python3-aiohttp-3.14.3-1.oe2403sp1.aarch64.rpm"
],
"src": [
"python-aiohttp-3.14.3-1.oe2403sp1.src.rpm"
],
"x86_64": [
"python-aiohttp-debuginfo-3.14.3-1.oe2403sp1.x86_64.rpm",
"python-aiohttp-debugsource-3.14.3-1.oe2403sp1.x86_64.rpm",
"python-aiohttp-help-3.14.3-1.oe2403sp1.x86_64.rpm",
"python3-aiohttp-3.14.3-1.oe2403sp1.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:24.03-LTS-SP1",
"name": "python-aiohttp",
"purl": "pkg:rpm/openEuler/python-aiohttp\u0026distro=openEuler-24.03-LTS-SP1"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.14.3-1.oe2403sp1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"severity": "Medium"
},
"details": "Async http client/server framework (asyncio).\n\nSecurity Fix(es):\n\nAIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.2, the WebSocket client accepts and decompresses frames with the RSV1 bit set even when the permessage-deflate extension was not negotiated, allowing a malicious server to cause unexpected CPU and memory consumption. This issue is fixed in version 3.14.2.(CVE-2026-59881)",
"id": "OESA-2026-3279",
"modified": "2026-08-07T06:59:55Z",
"published": "2026-08-07T06:59:55Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2026-3279"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59881"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "python-aiohttp security update",
"upstream": [
"CVE-2026-59881"
]
}
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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.
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- 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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