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CVE-2012-5577

7.5 · HIGH
Published Oct 28, 2019 python CWE-276 EPSS 1.84% (77th pctl)

Overview

CVE-2012-5577 is a high-severity vulnerability affecting python keyring. It was published on October 28, 2019 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 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

Python keyring lib before 0.10 created keyring files with world-readable permissions.

Remediation

Check the references section for vendor advisories and patches from python. Update keyring 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
python keyring >= 0, < 0.10 Affected

Frequently Asked Questions

What is CVE-2012-5577?

CVE-2012-5577 is a high-severity vulnerability affecting python keyring. It was published on October 28, 2019 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2012-5577?

This vulnerability has a CVSS 3.1 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-2012-5577?

Check the references section for vendor advisories and patches from python. Update keyring 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-2012-5577?

CyberStrike's AI-powered security agents can automatically detect CVE-2012-5577 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.