CVE-2009-0655 in Veriface
Summary
by MITRE
Lenovo Veriface III allows physically proximate attackers to login to a Windows account by presenting a "plain image" of the authorized user.
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Analysis
by VulDB Data Team • 10/29/2018
The vulnerability identified as CVE-2009-0655 affects Lenovo Veriface III biometric authentication systems that utilize facial recognition technology for Windows account access. This security flaw represents a significant weakness in the biometric authentication process where the system fails to properly validate the authenticity of facial data presented to it. The vulnerability specifically manifests when an attacker can successfully impersonate an authorized user by simply presenting a photograph or other flat image of the legitimate user to the facial recognition scanner. This type of attack exploits the fundamental design flaw in the verification mechanism that does not distinguish between live human tissue and static photographic representations.
The technical implementation of this vulnerability stems from the Veriface III system's inability to perform liveness detection or anti-spoofing measures during the authentication process. When a user presents their face to the scanner, the system processes the facial image and compares it against stored templates without verifying that the presented face is actually a live human being. This lack of liveness verification creates an exploitable condition where attackers can bypass authentication using mere images rather than actual biometric data. The vulnerability aligns with CWE-301 which describes "Cross-Site Request Forgery" in the context of biometric authentication systems where the system does not properly validate the authenticity of the presented biometric sample. The flaw essentially transforms a security mechanism designed to protect against unauthorized access into a system that can be easily circumvented through simple photographic means.
The operational impact of this vulnerability extends beyond simple unauthorized access to potentially compromising entire corporate networks or personal devices. An attacker with physical proximity to a target system can gain access to sensitive information, perform unauthorized transactions, or escalate privileges within the authenticated environment. This creates a particularly dangerous scenario in corporate environments where employees may be using facial recognition systems for access control to secure facilities or sensitive data repositories. The vulnerability also represents a significant risk in scenarios where the biometric system is used for multi-factor authentication, as it undermines the entire security posture by allowing bypass of the biometric component entirely. The attack vector requires minimal technical expertise and can be executed by anyone with access to a photograph of the target user, making it particularly dangerous in environments where physical security is not adequately maintained.
Organizations should implement comprehensive mitigations that address both the immediate vulnerability and broader security implications. The most effective approach involves disabling the facial recognition authentication mechanism until proper liveness detection capabilities are implemented or the system is upgraded to support anti-spoofing measures. Security administrators should also consider implementing additional authentication factors such as multi-factor authentication with hardware tokens or time-based one-time passwords to compensate for the weakened biometric security. Network security measures including intrusion detection systems and monitoring of authentication attempts can help identify potential exploitation attempts. From an ATT&CK framework perspective, this vulnerability maps to techniques involving credential access and privilege escalation, and organizations should consider implementing defensive measures such as account lockout policies and monitoring for unusual authentication patterns. The incident also highlights the importance of conducting thorough security assessments of biometric systems before deployment, ensuring that proper liveness detection mechanisms are in place to prevent similar vulnerabilities from being introduced into production environments.