Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2022-25878PUBLISHED: 2022-05-27
The package protobufjs before 6.11.3 are vulnerable to Prototype Pollution which can allow an attacker to add/modify properties of the Object.prototype.
This vulnerability can occur in multiple ways:
1. by providing untrusted user input to util.setProperty or to ReflectionObject.setParsedOption ...
CVE-2021-27780PUBLISHED: 2022-05-27The software may be vulnerable to both Un-Auth XML interaction and unauthenticated device enrollment.
CVE-2021-27781PUBLISHED: 2022-05-27The Master operator may be able to embed script tag in HTML with alert pop-up display cookie.
CVE-2022-1897PUBLISHED: 2022-05-27Out-of-bounds Write in GitHub repository vim/vim prior to 8.2.
CVE-2022-20666PUBLISHED: 2022-05-27
Multiple vulnerabilities in the web-based management interface of Cisco Common Services Platform Collector (CSPC) Software could allow an unauthenticated, remote attacker to conduct a cross-site scripting (XSS) attack against a user of the interface.
These vulnerabilities are due to insufficient va...
User Rank: Apprentice
7/3/2015 | 1:59:47 PM
I, however, discovered and patented how to INTERNALLY structure any data: Language has its own Internal parsing, indexing and statistics and can be structured internally. 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?
I don't need to apply these clutches of EXTERNAL queries for structuring, saving, maintaining the data. I can operate with any data without pre-structuring it! without manual work! I can take data as unstructured format and do whatever I want with it!
Instead of THE common for IBM, Oracle, Cloudera and others EXTERNAL way I can INTERNALLY structure data. All database providers are obsolete and soon out of business.