If you like this type of data, I've been working on an ArcGIS app[1] that incorporates the USDHS transmission infrastructure maps[2] from the western United States (WECC region) with NOAA weather data, US Forest Service wildfire data, and 15-minute market prices from the California ISO's OASIS system.
There's a lot of work to be done and I've used this project to teach myself Python with the ArcGIS Python API, Pandas, GeoPandas, etc.
I'd love to hear feedback from anybody that has something to share.
The company I work for (in the utility industry) does this regularly and there are disciplinary actions for falling for the attack
The consequences range in severity based on the number of times an employee is caught over a 12 month period, or if, as part of the attack, the employee enters their credentials on the webpage linked in the email (a big no-no). They range from: a meeting with your manager to discuss, a requirement to park outside the security gate and walk in for at least 2 weeks, to your vacation accrual rate being reduced, all the way to unpaid suspension or termination with 4 failures in 12 months.
Of course as part of the on-boarding process the company provides pretty extensive training on how to spot a phishing attempt but some attacks can still get a large portion of our company.
The downside is now some employees who have been burned before are terrified of opening any external emails. This ironically resulted in an exceptionally low participation rate in our company's annual employee engagement survey conducted by, you guessed it, an external party.
There's a lot of work to be done and I've used this project to teach myself Python with the ArcGIS Python API, Pandas, GeoPandas, etc.
I'd love to hear feedback from anybody that has something to share.
[1] http://justin-bohlen.maps.arcgis.com/apps/webappviewer/index...
[2] https://hifld-geoplatform.opendata.arcgis.com/datasets/elect...