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🛡️ CVE-2025-10693

⚪ Unknown ✅ No Known Exploit CWE-757 NVD
N/A
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

When SmartStart Inclusion fails during the onboarding of a Z-Wave PIR sensor, the sensor will join the network as a non-secure device. This vulnerability exists in Silicon Labs' Z-Wave PIR Sensor Reference design delivered as part of SiSDK v2025.6.0 and v2025.6.1.

Weakness class

CVE-2025-10693 is classified as CWE-757: Selection of Less-Secure Algorithm During Negotiation ('Algorithm Downgrade'). A protocol or its implementation supports interaction between multiple actors and allows those actors to negotiate which algorithm should be used as a protection mechanism such as encryption or authentication, but it does not select the strongest…

Affected software

CVE-2025-10693 is recorded against 1 package.

  • unknown

Timeline and source

Published on 31 October 2025 and last revised on 17 June 2026. No public exploit is currently recorded for this entry. Record sourced from NVD.

References

community.silabs.com

Other advisories for this package

unknown has other advisories on record. If you are patching this one, these are worth checking on the same host:

Same weakness in other software

These advisories are the same class of weakness (CWE-757: Selection of Less-Secure Algorithm During Negotiation ('Algorithm Downgrade')) in other software:

Details

Severity Unknown
CVSS Score N/A
CVSS Vector N/A
CWE CWE-757
Public Exploit ✅ No
Source NVD
Published 2025-10-31
Updated 2026-08-20
Modified 2026-06-17
Fix URL N/A

Affected Packages

Software From version Fixed in
unknown

Similar Threats

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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