CVE-2025-12080 (GCVE-0-2025-12080)
Vulnerability from cvelistv5 – Published: 2025-10-27 08:45 – Updated: 2025-10-27 15:53
VLAI
EPSS
VEX
Title
Intent Abuse in Google Messages for Wear OS for Silent Message Sending
Summary
On Wear OS devices, when Google Messages is configured as the default SMS/MMS/RCS application, the handling of ACTION_SENDTO intents utilizing the sms:, smsto:, mms:, and mmsto: Uniform Resource Identifier (URI) schemes is incorrectly implemented.
Due to this misconfiguration, an attacker capable of invoking an Android intent can exploit this vulnerability to send messages on the user’s behalf to arbitrary receivers without requiring any further user interaction or specific permissions. This allows for the silent and unauthorized transmission of messages from a compromised Wear OS device.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-27 15:52 UTC
CWE
- CWE-345 - Insufficient Verification of Data Authenticity
Assigner
References
1 reference
Impacted products
Date Public
2025-10-22 22:00
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Sightings
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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.