CVE-2025-65295
Dec. 17, 2025, 7:49 p.m.
8.1
High
Description
Multiple vulnerabilities in Aqara Hub firmware update process in the Camera Hub G3 4.1.9_0027, Hub M2 4.3.6_0027, and Hub M3 4.3.6_0025 devices, allow attackers to install malicious firmware without proper verification. The device fails to validate firmware signatures during updates, uses outdated cryptographic methods that can be exploited to forge valid signatures, and exposes information through improperly initialized memory.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Aqara |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-326
Inadequate Encryption Strength
The product stores or transmits sensitive data using an encryption scheme that is theoretically sound, but is not strong enough for the level of protection required.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| o | aqara | hub_m2_firmware | 4.3.6_0027 | / | / | / | / | / | / | / |
| h | aqara | hub_m2 | - | / | / | / | / | / | / | / |
| o | aqara | hub_m3_firmware | 4.3.6_0025 | / | / | / | / | / | / | / |
| h | aqara | hub_m3 | - | / | / | / | / | / | / | / |
| o | aqara | camera_hub_g3_firmware | 4.1.9_0027 | / | / | / | / | / | / | / |
| h | aqara | camera_hub_g3 | - | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: HIGH
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: Dec. 10, 2025, 10:16 p.m.
Last Modified: Dec. 17, 2025, 7:49 p.m.
Last Modified: Dec. 17, 2025, 7:49 p.m.
Status : Analyzed
CVE has had analysis completed and all data associations made.
More infoSource
cve@mitre.org
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.