Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2022-35942PUBLISHED: 2022-08-12
Improper input validation on the `contains` LoopBack filter may allow for arbitrary SQL injection. When the extended filter property `contains` is permitted to be interpreted by the Postgres connector, it is possible to inject arbitrary SQL which may affect the confidentiality and integrity of data ...
CVE-2022-35949PUBLISHED: 2022-08-12
undici is an HTTP/1.1 client, written from scratch for Node.js.`undici` is vulnerable to SSRF (Server-side Request Forgery) when an application takes in **user input** into the `path/pathname` option of `undici.request`. If a user specifies a URL such as `http://127.0.0.1` or `//127.0.0.1` ```js con...
CVE-2022-35953PUBLISHED: 2022-08-12
BookWyrm is a social network for tracking your reading, talking about books, writing reviews, and discovering what to read next. Some links in BookWyrm may be vulnerable to tabnabbing, a form of phishing that gives attackers an opportunity to redirect a user to a malicious site. The issue was patche...
CVE-2022-35956PUBLISHED: 2022-08-12
This Rails gem adds two methods to the ActiveRecord::Base class that allow you to update many records on a single database hit, using a case sql statement for it. Before version 0.1.3 `update_by_case` gem used custom sql strings, and it was not sanitized, making it vulnerable to sql injection. Upgra...
CVE-2022-35943PUBLISHED: 2022-08-12
Shield is an authentication and authorization framework for CodeIgniter 4. This vulnerability may allow [SameSite Attackers](https://canitakeyoursubdomain.name/) to bypass the [CodeIgniter4 CSRF protection](https://codeigniter4.github.io/userguide/libraries/security.html) mechanism with CodeIgniter ...
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1 Comments
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.