CVE-2025-2397
March 18, 2025, 3:16 p.m.
2.4
Low
Description
A vulnerability was found in China Mobile P22g-CIac, ZXWT-MIG-P4G4V, ZXWT-MIG-P8G8V, GT3200-4G4P and GT3200-8G8P up to 20250305. It has been declared as problematic. This vulnerability affects unknown code of the component Telnet Service. The manipulation leads to improper authorization. The attack can only be initiated within the local network. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| China Mobile |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-266
Incorrect Privilege Assignment
A product incorrectly assigns a privilege to a particular actor, creating an unintended sphere of control for that actor.
*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 |
|---|---|---|---|---|---|---|---|---|---|---|
| a | china_mobile | p22g-ciac | / | / | / | / | / | / | / | / |
| a | china_mobile | zxwt-mig-p4g4v | / | / | / | / | / | / | / | / |
| a | china_mobile | zxwt-mig-p8g8v | / | / | / | / | / | / | / | / |
| a | china_mobile | gt3200-4g4p | / | / | / | / | / | / | / | / |
| a | china_mobile | gt3200-8g8p | / | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data
- Attack Vector: ADJACENT_NETWORK
- Attack Complexity: LOW
- Privileges Required: HIGH
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: LOW
- Availability Impact: NONE
View Vector String
CVSS:3.1/AV:A/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:N
Date
- Published: March 17, 2025, 9:15 p.m.
- Last Modified: March 18, 2025, 3:16 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
cna@vuldb.com
*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.