Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2022-30333PUBLISHED: 2022-05-09RARLAB UnRAR before 6.12 on Linux and UNIX allows directory traversal to write to files during an extract (aka unpack) operation, as demonstrated by creating a ~/.ssh/authorized_keys file. NOTE: WinRAR and Android RAR are unaffected.
CVE-2022-23066PUBLISHED: 2022-05-09
In Solana rBPF versions 0.2.26 and 0.2.27 are affected by Incorrect Calculation which is caused by improper implementation of sdiv instruction. This can lead to the wrong execution path, resulting in huge loss in specific cases. For example, the result of a sdiv instruction may decide whether to tra...
CVE-2022-28463PUBLISHED: 2022-05-08ImageMagick 7.1.0-27 is vulnerable to Buffer Overflow.
CVE-2022-28470PUBLISHED: 2022-05-08marcador package in PyPI 0.1 through 0.13 included a code-execution backdoor.
CVE-2022-1620PUBLISHED: 2022-05-08NULL Pointer Dereference in function vim_regexec_string at regexp.c:2729 in GitHub repository vim/vim prior to 8.2.4901. NULL Pointer Dereference in function vim_regexec_string at regexp.c:2729 allows attackers to cause a denial of service (application crash) via a crafted input.
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.