Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2022-26773PUBLISHED: 2022-05-26A logic issue was addressed with improved state management. This issue is fixed in iTunes 12.12.4 for Windows. An application may be able to delete files for which it does not have permission.
CVE-2022-26774PUBLISHED: 2022-05-26A logic issue was addressed with improved state management. This issue is fixed in iTunes 12.12.4 for Windows. A local attacker may be able to elevate their privileges.
CVE-2022-26775PUBLISHED: 2022-05-26An integer overflow was addressed with improved input validation. This issue is fixed in Security Update 2022-004 Catalina, macOS Monterey 12.4. An attacker may be able to cause unexpected application termination or arbitrary code execution.
CVE-2022-26776PUBLISHED: 2022-05-26This issue was addressed with improved checks. This issue is fixed in macOS Monterey 12.4, macOS Big Sur 11.6.6. An attacker may be able to cause unexpected application termination or arbitrary code execution.
CVE-2022-29632PUBLISHED: 2022-05-26An arbitrary file upload vulnerability in the component /course/api/upload/pic of Roncoo Education v9.0.0 allows attackers to execute arbitrary code via a crafted file.
User Rank: Apprentice
5/19/2015 | 1:36:42 PM
Google cannot protect privacy by definition: as the source of statistics (for gained from texts phrases) Google uses popularity, how popular are the phrases among people that typed the same search queries/ search for the same. Google cannot exist without spying.
However, there is structured data that can search for people - not people for information, but information for people. I discovered and patented how to structure any data: Language has its own Internal parsing, indexing and statistics. For instance, there are two sentences:
a) 'Sam!'
b) 'A loud ringing of one of the bells was followed by the appearance of a
smart chambermaid in the upper sleeping gallery, who, after tapping at
one of the doors, and receiving a request from within, called over the
balustrades -'Sam!'.'
Evidently, that the 'Sam' has different importance into both sentences, in regard to extra information in both. This distinction is reflected as the phrases, which contain 'Sam', weights: the first has 1, the second – 0.08; the greater weight signifies stronger emotional 'acuteness'.
First you need to parse obtaining phrases from clauses, restoring omitted words, for sentences and paragraphs.
Next, you calculate Internal statistics, weights; where the weight refers to the frequency that a phrase occurs in relation to other phrases.
After that data is indexed by common dictionary, like Webster, and annotated by subtexts.
This is a small sample of the structured data:
this - signify - <> : 333333
both - are - once : 333333
confusion - signify - <> : 333321
speaking - done - once : 333112
speaking - was - both : 333109
place - is - in : 250000
To see the validity of technology - pick up any sentence.
Do you have a pencil?
My technology came from Analytic Philosophy, Internal Relations Theory.