What is the CVSS score of CVE-2024-25579?

CVE-2024-25579 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: 0.8%.

ELECOM CVE-2024-25579

MEDIUM

OS Command Injection (CWE-78)

2024-02-28 vultures@jpcert.or.jp

Command Injection

6.8

CVSS 3.1 · Vendor: jpcert

Severity by source

Vendor (jpcert) PRIMARY

6.8 MEDIUM

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

Primary rating from Vendor (jpcert) · only source for this CVE.

CVSS VectorVendor: jpcert

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

Feb 28, 2024 - 23:15 cve.org

MEDIUM 6.8

DescriptionCVE.org

OS command injection vulnerability in ELECOM wireless LAN routers allows a network-adjacent attacker with an administrative privilege to execute arbitrary OS commands by sending a specially crafted request to the product. Note that WMC-X1800GST-B is also included in e-Mesh Starter Kit "WMC-2LX-B".

AnalysisAI

OS command injection vulnerability in ELECOM wireless LAN routers allows a network-adjacent attacker with an administrative privilege to execute arbitrary OS commands by sending a specially crafted. Rated medium severity (CVSS 6.8), this vulnerability is low attack complexity. 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. OS command injection vulnerability in ELECOM wireless LAN routers allows a network-adjacent attacker with an administrative privilege to execute arbitrary OS commands by sending a specially crafted request to the product. Note that WMC-X1800GST-B is also included in e-Mesh Starter Kit "WMC-2LX-B".

Affected ProductsAI

ELECOM wireless LAN routers.

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.