hangtime79

Having spent a lot of time in the Snowflake ecosystem, a few things to understand.

Snowflake is both a platform and a database. Customers can implement any level of security within the system. For example, when Snowflake introduced OAuth functionality, they put a lot of pressure for us to implement it in our tool. We're small enough and they are a significant partner so we priortised and got it into our platform so that a customer CAN implement it if they want too.

The keyword here is CAN. As a platform with database functionality, Snowflake allows customers to implement any level of security for access. So each instance of Snowflake https://XX123456.us-east-1.snowflakecomputing.com/ security is independent. So let's answer some questions

* "Was this a production breach", No, this was not a production breach. This is not when hackers went into the Azure and were able to elevate credentials and see all accounts.

* "But doesn't Snowflake use MFA", yes and on INTERNAL systems and the ability to connect to the PROD environment of SF it would absolutely have that. However, every customer has the ability to configure a user's credentials for access in their instance https://XX123456.us-east-1.snowflakecomputing.com/. Likely, the SE was granted access to the client's instance through the use of a user name and password.

* "But why not use MFA then Snowflake", this comes back to Okta. You have to create a trust relationship between providers. That's easy when you are only talking about your own employees. They all sit in your same directory. However, to set up a separate trust relationship for another domain, well now we have to get the security team of the client involved. All this so that someone can take a little bit of data and move it into another environment in order to do a demonstration. Not likely.

* "Well that just sounds stupid, my application has SSO enabled." True, but as also a database - Snowflake has to account for entire ecosystem that don't even support SSO-OAuth. For example, two major products that do not support SSO connections to Snowflake: Azure Machine Learning and Zapier. Both only support user name / password connections to Snowflake. So if you were an SE trying to show the value of Snowflake and its integration with AzureML; the ONLY way you could do that would be through user name / password functionality.

The issue in all of this is we are so used to thinking of SaaS as just an application. Databases have to support all sorts of application weirdness. Here is my gut thought on how this went down.

* The SE was working with multiple clients. These clients in an effort to save time and not wanting to have their security team involved and try and create a trust relationship with Snowflake went ahead and created a user name and password for the SE into the client environment vs setting up SSO. Again, this is ONLY controlled by the client.

* The SE at some point had active access to multiple instances of Snowflake to their various clients; with various levels of access depending upon the skill and fastidiousness of the client when they created the account for the Snowflake SE into their account. Again, how the SE is connecting to Snowflake is the same way any other user and application are doing so. I know this for a fact as SEs have to create their own throwaway demo instances https://XX123456.us-east-1.snowflakecomputing.com/. SEs don't have access into the backend of Snowflake.

* At some point this SE had malware installed on to their computer. At this point, this person was cooked and any customer who had given them access to the environment.

As for Hudson Rocks, they can go f themselves for doxing the SE. It was quite trivial to find who this person was and based on the Snowflake announcement they no longer have a job. That person was having an awful week already, now there name is out there. So again, F Hudson for doxing. It would have been easy to blind them out of the exchange (they did the hacker), but did not do so for the victim.

This is the problem of Hudson Rock making conjecture or trying to be authoritative when tbey don't know the process.

One SE is working on many accounts. Snowflake SEs don't build within the client environment typically. They set up a demo account like you or I do with the $400 in credits. SEs are constantly starting these. Why? They expire after the fact. The SE builds in the created demo account and shows the client. After 30 days Snowflake locks the account (no credit card) and subsequently drops the demo instance and data.

For an SE to do the work the customer can do one or more of the following: The customer's SF instance shares data to that demo instance created by the SE AND/OR the customer has given access to that Snowflake SE through SSO.

Either way, this is more of orgs not being restrictive in their security posture. There is nothing novel about this exploit other than they found an SE who was working very hard and clients who had not properly scoped the security permissions of an employee/contractoe/guest.

I don't work for Snowflake but I spend a lot of time working with them and their SE organisation.

When working and building demos with clients, SEs create demonstration environments on the same $400 Snowflake demo accounts anyone can. To build demos the client would grant access to that SE. The SE would take some of the data to the demo environment and then work on it. This is further confirmed by the name of the environment Hudson Rock just published.

As far as I can tell, this is a process issue of clients not expiring an ID of someone who they were sharing data with and a threat actor swiping credentials. There is nothing novel about this as there is no exploit.

Also congrats Hudson Rock you just outed a person who was taken due to having malware on their computer. This is no different then if you gave a contractor credentials and they had those swiped. Dicks.

As a follow-up on the discussion from last week regarding the purchase of the Weather Company by IBM, IBM has released the first API service based on the data from Weather Company.

From the documentation: "The pricing model is based on daily calls to the Insights for Weather APIs that are charged to the client monthly. You can test the weather data in your applications for any geographic area, forecast type, or time series observations with only a restriction on number of calls. The Free, Base, and Premium plans can be purchased without a contract. These plans allow your app to make 500, 5,000, or 50,000 API calls per day respectively."

I couldn't disagree more. I bet we actually see a service exposed via Bluemix in the not distant future.

I can't speak for Depot, but in the case of some of the larger retail organizations, major weather events will get coordination from HQ, but beyond those its typically left up to regional and store manager discretion.

Wunderground is included in the deal.

http://www-03.ibm.com/press/us/en/pressrelease/47952.wss

Welcome Compose team to IBM. I sit in analytics tech sales and work with CDS (particularly Dash-DB) pretty regularly and am very excited to have you aboard.