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CVE-2009-0657

6.9 · MEDIUM
Published Feb 20, 2009 toshiba CWE-255 EPSS 0.36% (29th pctl)

Overview

CVE-2009-0657 is a medium-severity vulnerability affecting toshiba face_recognition. It was published on February 20, 2009 and has a CVSS 2.0 base score of 6.9 (MEDIUM).

This vulnerability has a CVSS 2.0 base score of 6.9, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical Description

Toshiba Face Recognition 2.0.2.32 allows physically proximate attackers to obtain notebook access by presenting a large number of images for which the viewpoint and lighting have been modified to match a stored image of the authorized notebook user.

Remediation

Check the references section for vendor advisories and patches from toshiba. Update face_recognition 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-2009-0657?

CVE-2009-0657 is a medium-severity vulnerability affecting toshiba face_recognition. It was published on February 20, 2009 and has a CVSS 2.0 base score of 6.9 (MEDIUM).

How severe is CVE-2009-0657?

This vulnerability has a CVSS 2.0 base score of 6.9, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2009-0657?

Check the references section for vendor advisories and patches from toshiba. Update face_recognition 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-2009-0657?

CyberStrike's AI-powered security agents can automatically detect CVE-2009-0657 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.