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CVE-2019-7653

9.8 · CRITICAL
Published Feb 9, 2019 rdflib_project CWE-427 EPSS 2.26% (82th pctl)

Overview

CVE-2019-7653 is a critical-severity vulnerability affecting rdflib_project rdflib. It was published on February 9, 2019 and has a CVSS 3.1 base score of 9.8 (CRITICAL).

This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

The Debian python-rdflib-tools 4.2.2-1 package for RDFLib 4.2.2 has CLI tools that can load Python modules from the current working directory, allowing code injection, because "python -m" looks in this directory, as demonstrated by rdf2dot. This issue is specific to use of the debian/scripts directory.

Remediation

Check the references section for vendor advisories and patches from rdflib_project. Update rdflib 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-2019-7653?

CVE-2019-7653 is a critical-severity vulnerability affecting rdflib_project rdflib. It was published on February 9, 2019 and has a CVSS 3.1 base score of 9.8 (CRITICAL).

How severe is CVE-2019-7653?

This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2019-7653?

Check the references section for vendor advisories and patches from rdflib_project. Update rdflib 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-2019-7653?

CyberStrike's AI-powered security agents can automatically detect CVE-2019-7653 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.