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CVE-2025-53470 (GCVE-0-2025-53470)

Vulnerability from cvelistv5 – Published: 2026-01-10 09:46 – Updated: 2026-01-12 19:12
VLAI
Title
Apache Mynewt NimBLE: Out-of-Bounds Write Vulnerability in NimBLE HCI H4 driver
Summary
Out-of-bounds Read vulnerability in Apache NimBLE HCI H4 driver. Specially crafted HCI event could lead to invalid memory read in H4 driver. This issue affects Apache NimBLE: through 1.8.  This issue requires a broken or bogus Bluetooth controller and thus severity is considered low. Users are recommended to upgrade to version 1.9, which fixes the issue.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-12 19:11 UTC
CWE
Impacted products
Vendor Product Version CPE status
Apache Software Foundation Apache Mynewt NimBLE Affected: 0 , ≤ 1.8 (semver)
guessed Create a notification for this product.
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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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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