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CVE-2025-4276 (GCVE-0-2025-4276)

Vulnerability from cvelistv5 – Published: 2025-08-13 01:41 – Updated: 2025-08-14 05:54
VLAI
Title
UsbCoreDxe: improper input validation may lead to arbitrary code execution
Summary
UsbCoreDxe has a vulnerability which can be used to write arbitrary memory inside SMRAM and execute arbitrary code at SMM level.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-08-13 13:22 UTC
CWE
  • CWE-20 - Improper Input Validation
References
Impacted products
Vendor Product Version CPE status
Insyde Software InsydeH2O Affected: Kernel 5.3 , < 05.39.18 (custom)
Affected: Kernel 5.4 , < 05.47.18 (custom)
Affected: Kernel 5.5 , < 05.55.18 (custom)
Affected: Kernel 5.6 , < 05.62.18 (custom)
Affected: Kernel 5.7 , < 05.71.18 (custom)
guessed Create a notification for this product.
Date Public
2025-08-13 01:34
Show details on NVD website

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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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