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CVE-2018-19587

6.5 · MEDIUM
Published Nov 27, 2018 cesanta CWE-119 EPSS 0.94% (59th pctl)

Overview

CVE-2018-19587 is a medium-severity vulnerability affecting cesanta mongoose. It was published on November 27, 2018 and has a CVSS 3.0 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

In Cesanta Mongoose 6.13, a SIGSEGV exists in the mongoose.c mg_mqtt_add_session() function.

Remediation

Check the references section for vendor advisories and patches from cesanta. Update mongoose to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status

Frequently Asked Questions

What is CVE-2018-19587?

CVE-2018-19587 is a medium-severity vulnerability affecting cesanta mongoose. It was published on November 27, 2018 and has a CVSS 3.0 base score of 6.5 (MEDIUM).

How severe is CVE-2018-19587?

This vulnerability has a CVSS 3.0 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2018-19587?

Check the references section for vendor advisories and patches from cesanta. Update mongoose to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2018-19587?

CyberStrike's AI-powered security agents can automatically detect CVE-2018-19587 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.