Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2021-1074PUBLISHED: 2021-04-21
NVIDIA Windows GPU Display Driver for Windows, R390 driver branch, contains a vulnerability in its installer where an attacker with local system access may replace an application resource with malicious files. Such an attack may lead to code execution, escalation of privileges, denial of service, or...
CVE-2021-1075PUBLISHED: 2021-04-21
NVIDIA Windows GPU Display Driver for Windows, all versions, contains a vulnerability in the kernel mode layer (nvlddmkm.sys) handler for DxgkDdiEscape where the program dereferences a pointer that contains a location for memory that is no longer valid, which may lead to code execution, denial of se...
CVE-2021-1076PUBLISHED: 2021-04-21NVIDIA GPU Display Driver for Windows and Linux, all versions, contains a vulnerability in the kernel mode layer (nvlddmkm.sys or nvidia.ko) where improper access control may lead to denial of service, information disclosure, or data corruption.
CVE-2021-1077PUBLISHED: 2021-04-21NVIDIA GPU Display Driver for Windows and Linux, R450 and R460 driver branch, contains a vulnerability where the software uses a reference count to manage a resource that is incorrectly updated, which may lead to denial of service.
CVE-2021-1078PUBLISHED: 2021-04-21NVIDIA Windows GPU Display Driver for Windows, all versions, contains a vulnerability in the kernel driver (nvlddmkm.sys) where a NULL pointer dereference may lead to system crash.
User Rank: Apprentice
1/13/2014 | 9:15:02 AM
Protecting your patterns
Hopefully, it won't come to the point of a breach in the first place. IBM and its partners are layering in "always aware" intelligence. You can't be in two places at once. So, if the smartphone you accidentally left at a restaurant is being fondled by fraudulent fingers, the pervasive system will recognize the offender's different touch pattern (even if your phone is unlocked) and lock your account.
In another example, imagine two purchases: $40 at a gas station, and $4,000 at Tiffany & Co. Today's fraud monitoring might see the diamond purchase as highly suspicious, and ignore the charge at the pump. But your digital guardian will know that your car has a near-full tank of fuel; that you don't usually re-fuel until you're down to about one quarter tank; not to mention that you're at the office when this charge appears. It will also know that you've been shopping for an engagement ring and have been spending your lunch hour window shopping outside the store.
This and other emerging learning systems will know you, help you, and protect you as we continue to generate more and more data, and put more and more of our lives online.