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Sorry fellas forgot to add a portion of the article. A little long but a good techy rundown.
MongoDB: What is it, and how did it come into play as part of the shocking disclosure that took place at "The Pit"?
On August 13, 2022, Catherine Englebrecht and Gregg Phillips described what they found last year on an unsecured server in China: personal information for 1.8 million US election workers…and more
CognitiveCarbon
Aug 17
As you may know if you saw the movie, the GPS location data from cell phones that Gregg obtained —a small portion of which was used in 2000 Mules —was processed so as to help identify “patterns of life” for people who were caught illegally stuffing ballot boxes in many cities across the nation.
These so-called “Mules” were ballot traffickers— as the movie depicts, they were deployed, in some coordinated fashion by yet unknown entities across various swing state cities during November of 2020 to evidently illegally influence the 2020 election results.
Gregg’s team or other parties who were working with him were continuing to take a hard look at election patterns in the 2022 primaries and beyond, and they were also looking more broadly at a wide spectrum of election technology providers to understand better how the actions of the Mules fit into the bigger picture of executing the fraud that was exposed in 2000 Mules.
As part of this Arizona Pit event, Gregg and Catherine described an incident that arose during research that their teams had been conducting on various suppliers of software to US election agencies.
During the course of probing one such software provider, in early 2021 Gregg and his team stumbled across an IP address for a server that was purportedly associated with a company named Konnech, at least according to the records of services that track IP address ownership and location.
That IP address, it turns out, was located in China—it was evidently used by some instances of the software application for a period of time, before switching to a new IP address in Grand Rapids Michigan.
Geolocation tools that I used suggest that the server that was hosting this address in China was somewhere near Hangzhou, possibly somewhere near Zhejiang University.
Konnech makes software to service various parts of the election process for US and other countries. One of their modules is called PollChief; this is a resource management tool for helping election agencies manage their poll workers who staff various polling locations on election days.
It manages, among other things, schedules of poll workers, and includes the details necessary to recruit, retain and pay them. It, and the broader suite of software can be used to keep track of all sorts of logistics information about election equipment such as where is its physically located—for inventory purposes during non-election season, but also when and where that equipment is deployed for running elections. There are also modules marketed by Konnech that are involved with the process of casting ballots themselves for certain groups of people.
The software itself isn’t immediately concerning at a surface level; but the fact that one instance of it was apparently connecting to a server in China certainly raised some eyebrows—which warranted a closer look.
While Gregg and his team were investigating, they ran some routine cybersecurity checks to see what services were being used by that Chinese IP address to determine what was behind it. One of these routine “scans” showed a port on that IP address—27017—that is typically used by a database application called “MongoDB” (I’ll explain some of these terms more fully in just a bit.)
That was interesting and somewhat unexpected, since the applications from Konnech were ostensibly using SQL databases (more on that in a bit) and therefore this find was worth exploring.
Let’s take a technical look at what MongoDB is before we get to what it is that they reportedly discovered.
But first, we’ll take a step back to bring you up to speed on some basics and explain some of the terms. Databases are software systems that store large collections of data for fast lookup, correlation, reporting, and retrieval by software applications.
When you see a web-based application these days, somewhere behind it is a database server serving up the “personalized” information that you see displayed to you on the web pages of the application.