Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2023-23849PUBLISHED: 2023-02-06
Versions of Coverity Connect prior to 2022.12.0 are vulnerable to an unauthenticated Cross-Site Scripting vulnerability. Any web service hosted on the same sub domain can set a cookie for the whole subdomain which can be used to bypass other mitigations in place for malicious purposes. CVSS:3.1/AV:N...
CVE-2022-28923PUBLISHED: 2023-02-06Caddy v2.4.6 was discovered to contain an open redirection vulnerability which allows attackers to redirect users to phishing websites via crafted URLs.
CVE-2022-3229PUBLISHED: 2023-02-06
Because the web management interface for Unified Intents' Unified Remote solution does not itself require authentication, a remote, unauthenticated attacker can change or disable authentication requirements for the Unified Remote protocol, and leverage this now-unauthenticated access to run code of ...
CVE-2022-44617PUBLISHED: 2023-02-06A flaw was found in libXpm. When processing a file with width of 0 and a very large height, some parser functions will be called repeatedly and can lead to an infinite loop, resulting in a Denial of Service in the application linked to the library.
CVE-2022-46496PUBLISHED: 2023-02-06BTicino Door Entry HOMETOUCH for iOS 1.4.2 was discovered to be missing an SSL certificate.
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.