CVE-2025-56122
Dec. 23, 2025, 3:35 p.m.
8.8
High
Description
OS Command Injection vulnerability in Ruijie RG-EW1800GX PRO B11P226_EW1800GX-PRO_10223117 allowing attackers to execute arbitrary commands via a crafted POST request to the module_get in file /usr/local/lua/dev_sta/networkConnect.lua.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Ruijie |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-78
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.
*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 | ruijie | rg-ew1800gx_firmware | 3.0\(1\)b11p226 | / | / | / | / | / | / | / |
| h | ruijie | rg-ew1800gx | - | / | / | / | / | / | / | / |
| o | ruijie | rg-ew300n_firmware | 3.0\(1\)b11p300 | / | / | / | / | / | / | / |
| h | ruijie | rg-ew300n | - | / | / | / | / | / | / | / |
| o | ruijie | rg-ew1800gx_pro_firmware | 1.022.3117 | / | / | / | / | / | / | / |
| h | ruijie | rg-ew1800gx_pro | - | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: Dec. 11, 2025, 7:15 p.m.
Last Modified: Dec. 23, 2025, 3:35 p.m.
Last Modified: Dec. 23, 2025, 3:35 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.