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CVE-2025-24928 (GCVE-0-2025-24928)

Vulnerability from cvelistv5 – Published: 2025-02-18 00:00 – Updated: 2026-02-26 19:08
VLAI
Summary
libxml2 before 2.12.10 and 2.13.x before 2.13.6 has a stack-based buffer overflow in xmlSnprintfElements in valid.c. To exploit this, DTD validation must occur for an untrusted document or untrusted DTD. NOTE: this is similar to CVE-2017-9047.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-23 03:55 UTC
CWE
  • CWE-121 - Stack-based Buffer Overflow
Impacted products
Vendor Product Version CPE status
xmlsoft libxml2 Affected: 0 , < 2.12.10 (semver)
Affected: 2.13.0 , < 2.13.6 (semver)
    cpe:2.3:a:xmlsoft:libxml2:*:*:*:*:*:*:*:*
    cpe:2.3:a:xmlsoft:libxml2:*:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

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Tags
Taxonomy of the tags.


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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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