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Category: Security

A Quick Primer on Microsoft Entra ID

Jordan Boich gives us a high-level overview:

As a DBA with on-prem and cloud experience, I feel confident in saying that I’m fairly well versed on the “DBA Domain” part of the shared responsibility model. However, if we really want to do our jobs right as data professionals, having an understanding of the entire infrastructure does wonders when it comes to making architectural decisions that can impact the entire system.

The struggle I’ve experienced being a DBA is that hearing things like “Entra ID” or “Microsoft Entra Domain Services” has me sitting in a position where I know of those things because I’ve been around it for years but not really having as deep of an understanding as I’d like to. In this post, I’m going to talk a bit about authorization, and authentication from the cloud perspective, specifically Azure, so that other fellow DBAs and data professionals can gain some insight, see what it looks like to operate in the Entra Admin Portal, and show that it’s not as overwhelming as I thought it would be.

Read on to learn more.

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Operational Blind Spots in SQL Server Security

Fabiano Amorim offers some advice:

The SQL Server attack pattern is consistent: attackers do not always need a spectacular vulnerability. They often succeed by chaining normal features that were granted too broadly, trusted too much, or monitored too narrowly. 

In this article, I’ll focus on operational blind spots in SQL Server. These are the features DBAs use every day to keep SQL Server healthy: linked servers, traces, Dynamic Management Views, Extended Events, and session-management commands such as KILL.

These tools, while necessary, also create visibility, automation, and trust paths that attackers can abuse after compromising a low-privileged application account or a local database owner. 

Because of this, a SQL Server DBA should know the answer to the following questions at all times: where am I exposed, what should I monitor, and what should I change first? In this article, you’ll learn the answers to all three.

Click through for the advice.

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Creating a Security Checklist Based on STIGs

Marlon Ribunal builds a checklist:


Here’s a follow up for our US Department of Defense STIG document. In my previous post, SQL Server Security Hardening Guide Using the DoD STIG Checklist, I walked through how I used the DoD STIG checklist as a starting point for reviewing and hardening a SQL Server environment.

After going through the checklist, I started thinking about what I would actually want to use the next time I perform a security review.

The DoD STIG for SQL Server is a great, solid starting point for establishing your security practices with SQL Server. In fact, it’s also a good template for your own STIG in your organization. So, you may want to create a custom checklist that makes sense from the perspective of your SQL Server environment.

The STIG is detailed, which is a good thing, but I found myself wanting something a little more practical for day-to-day DBA work. Something I could open, work through one item at a time, record what I found, and come back to later without having to navigate through the entire STIG document every time.

Click through to see what Marlon came up with.

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Configuring Row-Level Security with OneLake Security

Reza Rad secures some data:

If you’ve set up row level security in Power BI before, you know the usual drill: open the semantic model, add a role, write a DAX filter. But once your data lives inside a Microsoft Fabric OneLake structure, there’s a better way to do this. You can implement it directly in OneLake instead, so that every object built on top of that data, your lakehouse, your SQL analytics endpoint, your semantic model, and your report, all follow the same security setup automatically. Define it once, upstream, and everything downstream inherits it. This is called OneLake security, and in this post I’ll walk through exactly how to set up row level security (RLS) this way, from the lakehouse all the way to your Power BI report.

Read on for a video and summary with timestamps.

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Thoughts on Databases as Honeypots

Andreas Wolter shares some thoughts:

CISA recently published guidance on using cyber decoys, tripwires, breadcrumbs, and honeytokens to detect attackers who are already operating inside an environment: Using Cyber Decoys to Strengthen Detection and Response

Looking at this through my SQL Server lens, I think it is worth considering how these concepts can be applied to database systems.

Before building any kind of database honeypot, you need to ask yourself:

Click through for that list of questions, as well as additional thoughts from Andreas.

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Sysadmins Bypassing Disabled xp_cmdshell

Fabiano Amorim explains a vulnerability:

SQL injection inside Microsoft-signed system stored procedures is not supposed to happen. Yet, as I’ve been documenting in this series, it happens more often than you may assume.

This article walks through another one I found and reported to the Microsoft Security Response Center (MSRC). It’s a textbook SQL injection sitting inside sys.sp_MSdeletefoldercontents, a system stored procedure used by SQL Server replication.

What makes it interesting is not the injection technique itself (there is no clever Unicode trick this time), but what it enables: a working execution path for xp_cmdshell on a server where xp_cmdshell is explicitly disabled by configuration.

Admittedly, I kind of shrug my shoulders at this one as well. You already need to be sysadmin, and sysadmins can enable xp_cmdshell whenever. I understand that the point of Fabiano’s post is that the procedure call ignores xp_cmdshell’s status, so there’s something to it. But I have trouble thinking that the SQL Server team made the wrong call in deciding it’s a low-risk vulnerability.

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Certificate-Based Authentication and Availability Groups

Jordan Boich shares a story:

A few months after a clean migration, replication between the nodes in the global primary AG in a Distributed Availability Group (DAG) just stopped. There were no new deployments, config changes, or specific warning signs prior to this. Windows patching had occurred, the servers rebooted like they usually would, and the AG never came back together.

I know for myself, one of the most frustrating phrases that gives me the sense of impending doom is “nothing changed, why is this breaking?!”. That’s exactly what was going on here.

Read on to see how an innocent-looking configuration setting can cause issues down the road.

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Implementing Zero-Trust for a Three-Tier Postgres App

Wellingtone Luvonga puts together some charts:

Implementing a zero-trust network model in Kubernetes requires shifting from the default-allow behavior to explicit, label-driven microsegmentation. This hands-on lab walks through securing a standard three-tier architecture (Frontend ⭢ Backend ⭢ Database) using Kubernetes NetworkPolicies, validating both ingress and egress restrictions.

Click through for the mappings.

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Azure Arc: Lots of Privilege

Andreas Wolter notes some security requirements:

Azure Arc for SQL Server comes with a so-called “least privilege mode.”

But certain Azure Arc components still execute SQL Server operations with sysadmin authority, which can expose that authority to database-scoped code.

Fabiano Amorim recently demonstrated how a database-scoped principal can take advantage of exactly this privileged execution context to escalate to sysadmin through a database-level DDL trigger: How Azure Arc allows a DB admin to become SQL Server sysadmin – the vulnerability explained

Fabiano covers the exploit itself in detail. What I want to put under the magnifying glass here is the “least privilege” mode itself – a topic I have written about extensively:

Click through for Andreas’s take on this.

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Tracking SQL Server Login Failures

Ed Pollack builds some infrastructure:

Failed logins are one of the clearest early-warning signs of trouble on a SQL Server – whether that’s a misconfigured connection string, an expired password, or an actual unauthorized access attempt. Yet, by default, SQL Server won’t proactively tell you when they happen; you have to go looking.

This guide walks through how to pull login failure data using sys.xp_readerrorlog, filter it by time and error type, parse it into readable columns, aggregate repeat offenders, and automatically email a summary report — turning a passive log file into an active security and troubleshooting tool.

Click through for the process and scripts.

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