OPENSUSE-SU-2025:15613-1

Vulnerability from csaf_opensuse - Published: 2025-10-08 00:00 - Updated: 2026-09-20 21:42
Summary
python311-python-socketio-5.14.1-1.1 on GA media
Severity
Moderate
Notes
Title of the patch: python311-python-socketio-5.14.1-1.1 on GA media
Description of the patch: These are all security issues fixed in the python311-python-socketio-5.14.1-1.1 package on the GA media of openSUSE Tumbleweed.
Patchnames: openSUSE-Tumbleweed-2025-15613
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-socketio-0:5.14.1-1.1.aarch64
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python311-python-socketio-0:5.14.1-1.1.ppc64le
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python311-python-socketio-0:5.14.1-1.1.s390x
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python311-python-socketio-0:5.14.1-1.1.x86_64
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python312-python-socketio-0:5.14.1-1.1.aarch64
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python312-python-socketio-0:5.14.1-1.1.ppc64le
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python312-python-socketio-0:5.14.1-1.1.s390x
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python312-python-socketio-0:5.14.1-1.1.x86_64
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python313-python-socketio-0:5.14.1-1.1.aarch64
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python313-python-socketio-0:5.14.1-1.1.ppc64le
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python313-python-socketio-0:5.14.1-1.1.s390x
Vendor Fix
Unresolved product id: openSUSE Tumbleweed:python313-python-socketio-0:5.14.1-1.1.x86_64
Vendor Fix
Threats
Impact moderate

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          "category": "general",
          "text": "python-socketio is a Python implementation of the Socket.IO realtime client and server. A remote code execution vulnerability in python-socketio versions prior to 5.14.0 allows attackers to execute arbitrary Python code through malicious pickle deserialization in multi-server deployments on which the attacker previously gained access to the message queue that the servers use for internal communications. When Socket.IO servers are configured to use a message queue backend such as Redis for inter-server communication, messages sent between the servers are encoded using the `pickle` Python module. When a server receives one of these messages through the message queue, it assumes it is trusted and immediately deserializes it. The vulnerability stems from deserialization of messages using Python\u0027s `pickle.loads()` function. Having previously obtained access to the message queue, the attacker can send a python-socketio server a crafted pickle payload that executes arbitrary code during deserialization via Python\u0027s `__reduce__` method. This vulnerability only affects deployments with a compromised message queue. The attack can lead to the attacker executing random code in the context of, and with the privileges of a Socket.IO server process. Single-server systems that do not use a message queue, and multi-server systems with a secure message queue are not vulnerable. In addition to making sure standard security practices are followed in the deployment of the message queue, users of the python-socketio package can upgrade to version 5.14.0 or newer, which remove the `pickle` module and use the much safer JSON encoding for inter-server messaging.",
          "title": "CVE description"
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            "baseSeverity": "MEDIUM",
            "vectorString": "CVSS:3.1/AV:A/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:L",
            "version": "3.1"
          },
          "products": [
            "openSUSE Tumbleweed:python311-python-socketio-0:5.14.1-1.1.aarch64",
            "openSUSE Tumbleweed:python311-python-socketio-0:5.14.1-1.1.ppc64le",
            "openSUSE Tumbleweed:python311-python-socketio-0:5.14.1-1.1.s390x",
            "openSUSE Tumbleweed:python311-python-socketio-0:5.14.1-1.1.x86_64",
            "openSUSE Tumbleweed:python312-python-socketio-0:5.14.1-1.1.aarch64",
            "openSUSE Tumbleweed:python312-python-socketio-0:5.14.1-1.1.ppc64le",
            "openSUSE Tumbleweed:python312-python-socketio-0:5.14.1-1.1.s390x",
            "openSUSE Tumbleweed:python312-python-socketio-0:5.14.1-1.1.x86_64",
            "openSUSE Tumbleweed:python313-python-socketio-0:5.14.1-1.1.aarch64",
            "openSUSE Tumbleweed:python313-python-socketio-0:5.14.1-1.1.ppc64le",
            "openSUSE Tumbleweed:python313-python-socketio-0:5.14.1-1.1.s390x",
            "openSUSE Tumbleweed:python313-python-socketio-0:5.14.1-1.1.x86_64"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "date": "2025-10-08T00:00:00Z",
          "details": "moderate"
        }
      ],
      "title": "CVE-2025-61765"
    }
  ]
}



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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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Detection rules are retrieved from Rulezet.

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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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