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CVE-2017-0374

7.8 · HIGH
Published May 23, 2017 config-model_project EPSS 0.40% (34th pctl)

Overview

CVE-2017-0374 is a high-severity vulnerability affecting config-model_project config-model. It was published on May 23, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

lib/Config/Model.pm in Config-Model (aka libconfig-model-perl) before 2.102 allows local users to gain privileges via a crafted model in the current working directory, related to use of . with the INC array.

Remediation

Check the references section for vendor advisories and patches from config-model_project. Update config-model 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
config-model_project config-model 0 Affected

Frequently Asked Questions

What is CVE-2017-0374?

CVE-2017-0374 is a high-severity vulnerability affecting config-model_project config-model. It was published on May 23, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2017-0374?

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2017-0374?

Check the references section for vendor advisories and patches from config-model_project. Update config-model 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-2017-0374?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-0374 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.