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CVE-2014-1938

5.5 · MEDIUM
Published Nov 21, 2019 rply_project CWE-59 EPSS 0.39% (32th pctl)

Overview

CVE-2014-1938 is a medium-severity vulnerability affecting rply_project rply. It was published on November 21, 2019 and has a CVSS 3.1 base score of 5.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

python-rply before 0.7.4 insecurely creates temporary files.

Remediation

Check the references section for vendor advisories and patches from rply_project. Update rply 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
rply_project rply >= 0, < 0.7.4 Affected

Frequently Asked Questions

What is CVE-2014-1938?

CVE-2014-1938 is a medium-severity vulnerability affecting rply_project rply. It was published on November 21, 2019 and has a CVSS 3.1 base score of 5.5 (MEDIUM).

How severe is CVE-2014-1938?

This vulnerability has a CVSS 3.1 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2014-1938?

Check the references section for vendor advisories and patches from rply_project. Update rply 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-2014-1938?

CyberStrike's AI-powered security agents can automatically detect CVE-2014-1938 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.