Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2022-35670PUBLISHED: 2022-08-11
Adobe Acrobat Reader versions 22.001.20169 (and earlier), 20.005.30362 (and earlier) and 17.012.30249 (and earlier) are affected by a Use After Free vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Expl...
CVE-2022-35671PUBLISHED: 2022-08-11
Adobe Acrobat Reader versions 22.001.20169 (and earlier), 20.005.30362 (and earlier) and 17.012.30249 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR....
CVE-2022-35673PUBLISHED: 2022-08-11
Adobe FrameMaker versions 2019 Update 8 (and earlier) and 2020 Update 4 (and earlier) are affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to execute ...
CVE-2022-35674PUBLISHED: 2022-08-11
Adobe FrameMaker versions 2019 Update 8 (and earlier) and 2020 Update 4 (and earlier) are affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to execute ...
CVE-2022-35675PUBLISHED: 2022-08-11
Adobe FrameMaker versions 2019 Update 8 (and earlier) and 2020 Update 4 (and earlier) are affected by a Use After Free vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a mal...
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.