CVE-2025-56365 (GCVE-0-2025-56365)

Vulnerability from cvelistv5 – Published: 2026-07-14 00:00 – Updated: 2026-07-15 14:17
VLAI
Summary
A reachable assertion vulnerability exists in the Matter SDK (connectedhomeip) before 1.4.0, in the interaction model command processing logic. When an InvokeCommandRequest is sent to a nonexistent endpoint and cluster (e.g., 0x34), the code incorrectly treats the endpoint as valid due to missing checks in CodegenDataModelProvider::Invoke. This causes a VerifyOrDie failure in ProcessCommandDataIB and results in a crash (SIGABRT). The issue has been acknowledged and fixed in a later revision (PR #37207).
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: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-15 14:17 UTC
CWE
  • n/a
  • CWE-617 - Reachable Assertion
Assigner
References
Show details on NVD website
To clipboard 

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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

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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.



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.