What is the CVSS score of CVE-2022-31898?

CVE-2022-31898 has a CVSS 3.1 base score of 6.8 (Medium). CVSS vector: CVSS:3.1/AV:A/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 15.9%.

Is there a public PoC exploit available for CVE-2022-31898?

Yes, a public proof-of-concept exploit is available for CVE-2022-31898. Prioritise patching immediately. EPSS: 15.9%.

Gl Mt300N V2 Firmware CVE-2022-31898

MEDIUM

OS Command Injection (CWE-78)

2022-10-27 cve@mitre.org

Command Injection Gl Mt300N V2 Firmware Gl Ax1800 Firmware

6.8

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

6.8 MEDIUM

AV:A/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:A/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Adjacent

Attack Complexity

Low

Privileges Required

High

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Oct 27, 2022 - 18:15 nvd

MEDIUM 6.8

DescriptionNVD

gl-inet GL-MT300N-V2 Mango v3.212 and GL-AX1800 Flint v3.214 were discovered to contain multiple command injection vulnerabilities via the ping_addr and trace_addr function parameters.

AnalysisAI

gl-inet GL-MT300N-V2 Mango v3.212 and GL-AX1800 Flint v3.214 were discovered to contain multiple command injection vulnerabilities via the ping_addr and trace_addr function parameters. Rated medium severity (CVSS 6.8), this vulnerability is low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified as OS Command Injection (CWE-78), which allows attackers to execute arbitrary operating system commands on the host. gl-inet GL-MT300N-V2 Mango v3.212 and GL-AX1800 Flint v3.214 were discovered to contain multiple command injection vulnerabilities via the ping_addr and trace_addr function parameters. Affected products include: Gl-Inet Gl-Mt300N-V2 Firmware, Gl-Inet Gl-Ax1800 Firmware.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Avoid passing user input to shell commands. Use language-specific APIs instead of shell execution. Apply strict input validation with allowlists.