CVE-2024-22066
Nov. 8, 2024, 2:31 p.m.
7.5
High
Description
There is a privilege escalation vulnerability in ZTE ZXR10 ZSR V2 intelligent multi service router . An authenticated attacker could use the vulnerability to obtain sensitive information about the device.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Zte |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-294
Authentication Bypass by Capture-replay
A capture-replay flaw exists when the design of the product makes it possible for a malicious user to sniff network traffic and bypass authentication by replaying it to the server in question to the same effect as the original message (or with minor changes).
*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 | zte | zxr10_1800-2s_firmware | / | / | / | / | / | / | / | / |
| h | zte | zxr10_1800-2s | - | / | / | / | / | / | / | / |
| o | zte | zxr10_2800-4_firmware | / | / | / | / | / | / | / | / |
| h | zte | zxr10_2800-4 | - | / | / | / | / | / | / | / |
| o | zte | zxr10_3800-8_firmware | / | / | / | / | / | / | / | / |
| h | zte | zxr10_3800-8 | - | / | / | / | / | / | / | / |
| o | zte | zxr10_160_firmware | / | / | / | / | / | / | / | / |
| h | zte | zxr10_160 | - | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: HIGH
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: Oct. 29, 2024, 9:15 a.m.
Last Modified: Nov. 8, 2024, 2:31 p.m.
Last Modified: Nov. 8, 2024, 2:31 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
psirt@zte.com.cn
*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.