CVE-2025-64460 (GCVE-0-2025-64460)

Vulnerability from cvelistv5 – Published: 2025-12-02 15:15 – Updated: 2025-12-02 21:54
VLAI
Title
Potential denial-of-service vulnerability in XML serializer text extraction
Summary
An issue was discovered in 5.2 before 5.2.9, 5.1 before 5.1.15, and 4.2 before 4.2.27. Algorithmic complexity in `django.core.serializers.xml_serializer.getInnerText()` allows a remote attacker to cause a potential denial-of-service attack triggering CPU and memory exhaustion via specially crafted XML input processed by the XML `Deserializer`. Earlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected. Django would like to thank Seokchan Yoon for reporting this issue.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-02 21:53 UTC
CWE
  • CWE-407 - Inefficient Algorithmic Complexity
Assigner
DSF CNA under the mitre root
CNA scorecard B 86/100 over 21 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
djangoproject Django Affected: 5.2 , < 5.2.9 (semver)
Unaffected: 5.2.9 (semver)
Affected: 5.1 , < 5.1.15 (semver)
Unaffected: 5.1.15 (semver)
Affected: 4.2 , < 4.2.27 (semver)
Unaffected: 4.2.27 (semver)
guessed Create a notification for this product.
Date Public
2025-12-02 14:00
Credits
Seokchan Yoon Shai Berger Natalia Bidart
Show details on NVD website
To clipboard 

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              "time": "2025-10-03T00:00:00+00:00",
              "value": "Initial report received."
            },
            {
              "lang": "en",
              "time": "2025-10-03T00:00:00+00:00",
              "value": "Vulnerability confirmed."
            },
            {
              "lang": "en",
              "time": "2025-12-02T14:00:00+00:00",
              "value": "Security release issued."
            }
          ],
          "title": "Potential denial-of-service vulnerability in XML serializer text extraction",
          "x_generator": {
            "engine": "cvelib 1.8.0"
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "6a34fbeb-21d4-45e7-8e0a-62b95bc12c92",
        "assignerShortName": "DSF",
        "cveId": "CVE-2025-64460",
        "datePublished": "2025-12-02T15:15:34.451Z",
        "dateReserved": "2025-11-04T14:35:57.527Z",
        "dateUpdated": "2025-12-02T21:54:23.307Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.