Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2023-1142PUBLISHED: 2023-03-27In Delta Electronics InfraSuite Device Master versions prior to 1.0.5, an attacker could use URL decoding to retrieve system files, credentials, and bypass authentication resulting in privilege escalation.
CVE-2023-1143PUBLISHED: 2023-03-27In Delta Electronics InfraSuite Device Master versions prior to 1.0.5, an attacker could use Lua scripts, which could allow an attacker to remotely execute arbitrary code.
CVE-2023-1144PUBLISHED: 2023-03-27Delta Electronics InfraSuite Device Master versions prior to 1.0.5 contains an improper access control vulnerability in which an attacker can use the Device-Gateway service and bypass authorization, which could result in privilege escalation.
CVE-2023-1145PUBLISHED: 2023-03-27Delta Electronics InfraSuite Device Master versions prior to 1.0.5 are affected by a deserialization vulnerability targeting the Device-DataCollect service, which could allow deserialization of requests prior to authentication, resulting in remote code execution.
CVE-2023-1655PUBLISHED: 2023-03-27Heap-based Buffer Overflow in GitHub repository gpac/gpac prior to 2.4.0.
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.