Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2017-7435

8.1 · HIGH
Published Mar 1, 2018 opensuse CWE-20 EPSS 1.81% (77th pctl)

Overview

CVE-2017-7435 is a high-severity vulnerability affecting opensuse libzypp. It was published on March 1, 2018 and has a CVSS 3.0 base score of 8.1 (HIGH).

This vulnerability has a CVSS 3.0 base score of 8.1, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

In libzypp before 20170803 it was possible to add unsigned YUM repositories without warning to the user that could lead to man in the middle or malicious servers to inject malicious RPM packages into a users system.

Remediation

Check the references section for vendor advisories and patches from opensuse. Update libzypp 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
opensuse libzypp 0 Affected

Frequently Asked Questions

What is CVE-2017-7435?

CVE-2017-7435 is a high-severity vulnerability affecting opensuse libzypp. It was published on March 1, 2018 and has a CVSS 3.0 base score of 8.1 (HIGH).

How severe is CVE-2017-7435?

This vulnerability has a CVSS 3.0 base score of 8.1, 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-2017-7435?

Check the references section for vendor advisories and patches from opensuse. Update libzypp 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-2017-7435?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-7435 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.