Deep Learning Models for Robust Facial Liveness Detection

In the rapidly evolving landscape of digital security, biometric authentication systems, particularly facial recognition, have emerged as integral components of various security protocols. However, the reliability of these systems is compromised by sophisticated spoofing attacks, where imposters...

CVE-2024-21587

An Improper Handling of Exceptional Conditions vulnerability in the broadband edge subscriber management daemon bbe-smgd of Juniper Networks Junos OS on MX Series allows an attacker directly connected to the vulnerable system who repeatedly flaps DHCP subscriber sessions to cause a slow memory...

CVE-2024-21587

An Improper Handling of Exceptional Conditions vulnerability in the broadband edge subscriber management daemon bbe-smgd of Juniper Networks Junos OS on MX Series allows an attacker directly connected to the vulnerable system who repeatedly flaps DHCP subscriber sessions to cause a slow memory...

Design/Logic Flaw

An Improper Handling of Exceptional Conditions vulnerability in the broadband edge subscriber management daemon bbe-smgd of Juniper Networks Junos OS on MX Series allows an attacker directly connected to the vulnerable system who repeatedly flaps DHCP subscriber sessions to cause a slow memory...

CVE-2024-21587

CVE-2024-21587 affects Juniper Networks Junos OS on MX Series. The vulnerability is an Improper Handling of Exceptional Conditions in the broadband edge subscriber management daemon (bbe-smgd), which can leak memory when DHCP subscriber sessions are repeatedly flapped, potentially causing Denial ...

CVE-2024-21587 Junos OS: MX Series: Memory leak in bbe-smgd process if BFD liveness detection for DHCP subscribers is enabled

An Improper Handling of Exceptional Conditions vulnerability in the broadband edge subscriber management daemon bbe-smgd of Juniper Networks Junos OS on MX Series allows an attacker directly connected to the vulnerable system who repeatedly flaps DHCP subscriber sessions to cause a slow memory...

Bypassing Apple FaceID's Liveness Detection Feature

Apple's FaceID has a liveness detection feature, which prevents someone from unlocking a victim's phone by putting it in front of his face while he's sleeping. That feature has been hacked: Researchers on Wednesday during Black Hat USA 2019 demonstrated an attack that allowed them to bypass a...

Researchers Bypass Apple FaceID Using Biometrics 'Achilles Heel'

LAS VEGAS – Vulnerabilities have been uncovered in the authentication process of biometrics technology that could allow bad actors to bypass various facial recognition applications – including Apple’s FaceID. But there is a catch. Doing so requires the victim to be out cold. Researchers on...