OPENSUSE-SU-2026:11170-1

Vulnerability from csaf_opensuse - Published: 2026-07-01 00:00 - Updated: 2026-09-17 17:12
Summary
python311-python-engineio-4.13.3-1.1 on GA media
Severity
Moderate
Notes
Title of the patch: python311-python-engineio-4.13.3-1.1 on GA media
Description of the patch: These are all security issues fixed in the python311-python-engineio-4.13.3-1.1 package on the GA media of openSUSE Tumbleweed.
Patchnames: openSUSE-Tumbleweed-2026-11170
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
Product Identifier Version Remediation
Unresolved product id: openSUSE Tumbleweed:python311-python-engineio-0:4.13.3-1.1.aarch64 —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python311-python-engineio-0:4.13.3-1.1.ppc64le —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python311-python-engineio-0:4.13.3-1.1.s390x —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python311-python-engineio-0:4.13.3-1.1.x86_64 —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python313-python-engineio-0:4.13.3-1.1.aarch64 —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python313-python-engineio-0:4.13.3-1.1.ppc64le —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python313-python-engineio-0:4.13.3-1.1.s390x —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python313-python-engineio-0:4.13.3-1.1.x86_64 —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python314-python-engineio-0:4.13.3-1.1.aarch64 —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python314-python-engineio-0:4.13.3-1.1.ppc64le —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python314-python-engineio-0:4.13.3-1.1.s390x —
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python314-python-engineio-0:4.13.3-1.1.x86_64 —
Vendor Fix
Threats
Impact important

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          "text": "python-engineio is a Python implementation of the Engine.IO realtime client and server. Versions prior to 4.13.2 have two specific configurations of the python-engineio server in which the size of incoming messages is not checked before the messages are loaded into memory. An attacker can take advantage of these to cause unnecessary memory allocations in the python-engineio server. The two cases are POST requests, when using ASGI with the long polling transport and WebSocket messages, when using Aiohttp with the WebSocket transport. Version 4.13.2 addresses this issue. ASGI severs now only load the body of incoming requests into memory after the client is confirmed to be known and authenticated, and the payload size is below the maximum allowed size. Requests that do not comply with these requirements are discarded. Aiohttp servers configure the maximum payload size in the underlying WebSocket layer from Aiohttp, so that large messages are discarded by Aiohttp before they are delivered to python-engineio.",
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          },
          "products": [
            "openSUSE Tumbleweed:python311-python-engineio-0:4.13.3-1.1.aarch64",
            "openSUSE Tumbleweed:python311-python-engineio-0:4.13.3-1.1.ppc64le",
            "openSUSE Tumbleweed:python311-python-engineio-0:4.13.3-1.1.s390x",
            "openSUSE Tumbleweed:python311-python-engineio-0:4.13.3-1.1.x86_64",
            "openSUSE Tumbleweed:python313-python-engineio-0:4.13.3-1.1.aarch64",
            "openSUSE Tumbleweed:python313-python-engineio-0:4.13.3-1.1.ppc64le",
            "openSUSE Tumbleweed:python313-python-engineio-0:4.13.3-1.1.s390x",
            "openSUSE Tumbleweed:python313-python-engineio-0:4.13.3-1.1.x86_64",
            "openSUSE Tumbleweed:python314-python-engineio-0:4.13.3-1.1.aarch64",
            "openSUSE Tumbleweed:python314-python-engineio-0:4.13.3-1.1.ppc64le",
            "openSUSE Tumbleweed:python314-python-engineio-0:4.13.3-1.1.s390x",
            "openSUSE Tumbleweed:python314-python-engineio-0:4.13.3-1.1.x86_64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "date": "2026-07-01T00:00:00Z",
          "details": "important"
        }
      ],
      "title": "CVE-2026-48809"
    }
  ]
}



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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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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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