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Outabox, an Australian firm that scanned faces for bars and clubs, suffered a breach that shows the problems with giving companies your biometric data.
Ukraine needs small drones to combat Russian forces—and is bootstrapping its own industry at home.
A recent campaign targeting Middle Eastern government organizations plays standard detection tools like a fiddle. With cyberattackers getting more creative, defenders must start keeping pace.
Red Hat and Intel are collaborating on a joint solution that more seamlessly integrates Intel® IPU with Red Hat OpenShift, propelling cloud and edge computing into a new era of performance and scalability.The solution brings together Intel’s latest leading programmable network device, the Intel® Infrastructure Processing Unit (Intel® IPU) E2000 Series with Red Hat OpenShift. This solution, shown in the following diagram, is designed for performance at scale under real world workloads and opens up a wide array of use cases through the ability to flexibly service chain network functions at
The quest to keep data private while still being able to search may soon be within reach, with different companies charting their own paths.
Talos also recently helped to responsibly disclose and patch other vulnerabilities in the Foxit PDF Reader and two open-source libraries that support the processing and handling of DICOM files.
Ubuntu Security Notice 6760-1 - George-Andrei Iosif and David Fernandez Gonzalez discovered that Gerbv did not properly initialize a data structure when parsing certain nested RS-274X format files. If a user were tricked into opening a specially crafted file, an attacker could possibly use this issue to cause a denial of service.
There is yet another attack possible against Protected Media Path process beyond the one involving two global XOR keys. The new attack may also result in the extraction of a plaintext content key value.
Red Hat Security Advisory 2024-2616-03 - An update for tigervnc is now available for Red Hat Enterprise Linux 9.
Blockchain analysis firm Elliptic, MIT, and IBM have released a new AI model—and the 200-million-transaction dataset it's trained on—that aims to spot the “shape” of bitcoin money laundering.