What is the CVSS score of CVE-2018-19239?

CVE-2018-19239 has a CVSS 3.0 base score of 7.2 (High). CVSS vector: CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 5.1%.

Tew 673Gru Firmware CVE-2018-19239

HIGH

OS Command Injection (CWE-78)

2018-12-20 cve@mitre.org

Command Injection Tew 673Gru Firmware

7.2

CVSS 3.0 · NVD

Severity by source

NVD PRIMARY

7.2 HIGH

AV:N/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:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Network

Attack Complexity

Low

Privileges Required

High

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Dec 20, 2018 - 23:29 nvd

HIGH 7.2

DescriptionNVD

TRENDnet TEW-673GRU v1.00b40 devices have an OS command injection vulnerability in the start_arpping function of the timer binary, which allows remote attackers to execute arbitrary commands via three parameters (dhcpd_start, dhcpd_end, and lan_ipaddr) passed to the apply.cgi binary through a POST request.

AnalysisAI

TRENDnet TEW-673GRU v1.00b40 devices have an OS command injection vulnerability in the start_arpping function of the timer binary, which allows remote attackers to execute arbitrary commands via. Rated high severity (CVSS 7.2), this vulnerability is remotely exploitable, 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. TRENDnet TEW-673GRU v1.00b40 devices have an OS command injection vulnerability in the start_arpping function of the timer binary, which allows remote attackers to execute arbitrary commands via three parameters (dhcpd_start, dhcpd_end, and lan_ipaddr) passed to the apply.cgi binary through a POST request. Affected products include: Trendnet Tew-673Gru 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.