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CVE-2018-16985

7.5 · HIGH
Published Sep 13, 2018 lizard_project CWE-125 EPSS 1.47% (72th pctl)

Overview

CVE-2018-16985 is a high-severity vulnerability affecting lizard_project lizard. It was published on September 13, 2018 and has a CVSS 3.0 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

In Lizard (formerly LZ5) 2.0, use of an invalid memory address was discovered in LZ5_compress_continue in lz5_compress.c, related to LZ5_compress_fastSmall and MEM_read32. The vulnerability causes a segmentation fault and application crash, which leads to denial of service.

Remediation

Check the references section for vendor advisories and patches from lizard_project. Update lizard 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-2018-16985?

CVE-2018-16985 is a high-severity vulnerability affecting lizard_project lizard. It was published on September 13, 2018 and has a CVSS 3.0 base score of 7.5 (HIGH).

How severe is CVE-2018-16985?

This vulnerability has a CVSS 3.0 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2018-16985?

Check the references section for vendor advisories and patches from lizard_project. Update lizard 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-2018-16985?

CyberStrike's AI-powered security agents can automatically detect CVE-2018-16985 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.