If you'd like to read this guide, along with additional guides to specific topics in Snowflake Security, visit our Snowflake Security guide, where you can also download the guide as a PDF e-book.
Snowflake is one of the world’s premier data warehouses and leading SaaS companies in the field of storage. For the many that use Snowflake to store sensitive information, it’s paramount to engage with it according to defined security guidelines in order to detect risky events, prevent as many threats as possible and react to security incidents in the best way possible.
In the following post, I’m going to provide an overview of Snowflake Security and its features as well as a practical guide for using them to their full potential. If interested, I also wrote a similar Redshift security guide and a BigQuery security guide.
Here’s what we’re going to cover:
Snowflake provides out-of-the-box network access control via “network policies”, allowing users to restrict account access to specific IP addresses. The level of granularity can be account-level and user-specific (bear in mind that user settings take precedence when you assign policies for both). You can set lists of IPs or subnets, using CIDR (for example 188.8.131.52/24 to add the entire Class C of 184.108.40.206-220.127.116.11) to be allowed according to a network policy, as well as IPs to be blocked.
Network policies per account or per user can either be set from the Web UI or by running SQL commands. In the following example, Ben, our data security engineer, wants to set a new network policy to grant U.S.-based employees access to Snowflake from their office, excluding the guest network:
/* Creating a network policy for employees */CREATEORREPLACENETWORKPOLICYus_employeesALLOWED_IP_LIST=('18.104.22.168/24','22.214.171.124/24','126.96.36.199')BLOCKED_IP_LIST=('188.8.131.52','184.108.40.206')COMMENT='US employees offices, excluding guest WiFi gateways';/* We now have the new network policy */SHOWNETWORKPOLICIES;/* And here's what the network policy does: */DESCRIBENETWORKPOLICYUS_EMPLOYEES;/* Assigning it to a user */ALTERuserus_analyst_1SETNETWORK_POLICY=US_EMPLOYEES;SHOWusers;
Since Snowflake’s granularity can apply to either the whole account or for specific users, an onboarding script can be used to automatically apply relevant policies to users. Note that network policies currently only support IPv4 addresses (meaning that IPv6 is currently excluded).
Managing access across users, roles and groups
While managing access for enterprises often begins as a simple process, it can quickly escalate in complexity as employees move from project to project, team to team and position to position. Therefore, managing access at scale can develop into an arduous and time-consuming task for those responsible for carrying out these changes (which can mean security teams, IT, data engineering or other teams, depending on the organization).
Ideally, a data warehouse should have its data utilized by many teams in the organization in order to drive business and innovation forward. However, usage must always strike the delicate balance between operation and risk. Granting wide access to many teams can raise costs, use up valuable time and pose high risk, especially when third parties are added into the mix. The more data is exposed, the greater the possibility of undesirable outcomes like data breaches, data leaks and exposure of more people to sensitive data. This conflict sits at the heart of data policies.
Let’s start with some useful definitions:
What is a USER in Snowflake DB?
A user is an identity entity, either a person or an application, and can be either defined directly in Snowflake or inherited from an identity management solution (such as Okta).
What is a SECURABLE OBJECT in Snowflake DB?
A securable object is any entity (such as a table, view, warehouse, schema or DB) to which you would grant (or deny by not granting) access to specific roles. They are owned by the user that created them.
What is a PRIVILEGE in Snowflake DB?
A privilege is a level of access to a securable object(for example: the privilege of reading from a certain table. Multiple privileges can be granted to a securable object such as the privileges of writing or deleting from a table.
What is a ROLE in Snowflake DB?A role is an entity to which you can define privileges (for example: grant a role of SUPPORT_GEN with read access from the table `known_issues`). You can then either assign users those privileges, or assign these roles to other roles (which creates a hierarchy of roles).
Sample of roles assignment:
In our example, we deal with the order management aspect of Awesominator Inc. There are three different business units that receive orders. Business units 1 & 2 are handled by one shipping operation (Shipping A) and orders for unit 3 are handled by another (Shipping B).
Orders are inserted by an order entry team, which require write-only access to the orders tables. Each shipping operation needs a read-only role to read the orders, while the global warehouse team needs read access across all business unit tables. At the same time, a support team needs to have both the writing permissions of the order entry team and update permissions as well.
Even in such a (relatively) simple scenario, we’re very happy to have Hierarchical RBAC, and roles are planned according to the diagram:
In the diagram above, the securable objects are the tables (orders_bu_1, orders_bu_2, orders_bu_3). The ORDER_ENTRY role has INSERT privileges over all orders tables, and on a higher hierarchy, SUPPORT_1 can do that, as well as update the tables of business units 1 & 2.
On the right side, each shipping role has SELECT privileges on the relevant tables, while the SHIPPING_GLOBAL role has access to all warehouses.
The users can either be assigned manually to the different roles, or more realistically defined in an identity management system. As an example, the COO of the company may have both SHIPPING_GLOBAL & SUPPORT_1 roles, meaning that they can do anything both roles can do (though for each query, the COO will need to select the appropriate role).
Note that Snowflake does not support the notion of groups internally, and instead relies on an integration with an identity provider (IDP) using SCIM (System for Cross-domain Identity Management). By using the SCIM 2.0 API, assigning an IDP group to the Snowflake application in the Identity Provider will create a role in Snowflake that includes the users that are under that group in the IDP.
Snowflake offers great flexibility around access control management, as it offers a combination of DAC (Discretionary Access Control) & RBAC (Role Based Access Control). That means that you can set privileges to specific roles (which you can then assign to users or to other roles, by creating a hierarchy). Users also have privileges as creators (owners) of objects.
Whenever a user opens a Snowflake session (whether through the UI, CLI, a tool, or an application using a connector or a driver), it gets assigned with a role according to the following configuration:
If the connection has the parameter role defined in the JDBC/ODBC connection, this will be the default role used (assuming the user was actually granted this role).
Otherwise, if a default role is configured for the user, it will be set.
If both do not exist, the user will be assigned to the PUBLIC role.
During the course of a session, users can change the current used role by using the following command:
Alternatively, in the UI, they can also change the current role from the definitions located in the top right corner of the UI:
How to set privileges in snowflake?
Finally, assigning our structure is done in SQL commands, as shown below:
Within the regular permissions model of Snowflake, the most granular securable object is a table (or a view). Within the model itself, there is no column-based access control or row-based access control.
More granular access control can be enforced by using secure views. Note that using secure views has a performance impact on your queries, as it eliminates some of the optimizations done in access to other securable objects (such as tables or “normal” views). In addition, using secure views to enforce finer-grained access control can be difficult to create and maintain for complex environments.
What are Snowflake secure views anyway?
Secure views add two security features over “normal” views:
Users who do not own the secure views can’t view its definition via the SHOW VIEW command.
Secure views do not use optimizations, to prevent exposing the underlying data which may expose the underlying data which can give users answers about data outside the view’s restrictions.
How to apply Snowflake DB secure views to enforce column level access control
Let’s get back to Awesominator Inc., where the privacy officer wants to limit order details to those relevant to the shipping users, disallowing them from seeing the sensitive `id_num` column:
A similar approach can also limit access dynamically by using the CURRENT_ROLE() function in the view query to create more complicated fine-grained access control.
You can also use Snowflake to apply dynamic masking, either with it’s dynamic masking feature (available in enterprise and business critical plans), or configure it manually on your own. For more informaiton, refer to our guide about the different Snowflake data maksing types.
To read more about granular access control in Snowflake, please refer to our specific guides to row-level security and column-level security.
Access logging & monitoring in Snowflake DB
When maintaining an effective security environment, it’s important to not only prevent threats, but also be aware of them; Even if you’re blocking a certain problem, you may still want to take additional measures.
You will want to know when there are unsuccessful attempts to establish a Snowflake session, as they may indicate either a misconfiguration in one of your applications (which may cause unpredictable results) or a malicious attack.
How do you get all failed snowflake logins (failed connection sessions)?
You will also want to follow successful Snowflake sessions, to be alerted to anomalies (such as successful login attempts from unexpected IP addresses or tools). Such anomalies may indicate excessive privilege abuse or legitimate privilege abuse vulnerabilities, which are core issues in database security. As an example, if there is a Snowflake entity (user or role) being used by an application, it would make sense to monitor cases when the connections to it are carried out by human users.
Note that the access attempts dynamic table only shows results from the last 7 days and is limited to retrieving up to 10,000 results. Therefore, it is important to create a job that pulls relevant information from LOGIN_HISTORY and push it elsewhere (for example: failed login attempts can be sent to a SIEM and all login history can be pushed to analytics storage, perhaps even a table on Snowflake itself). Depending on the scale, you may want to perform aggregations to the data, as it can accumulate to quite a lot.
Privilege violation logging & monitoring in Snowflake DB
Failed query attempts (for example: when a user tries to access a forbidden securable object) can be retrieved by the QUERY_HISTORY or QUERY_HISTORY_BY_USER commands. You can then filter the results by the ERROR_CODE or ERROR_MESSAGE columns. More on query logs here. Note that if you want to verify which users are accessing a specific resource you would like to restrict, you will need to parse the SQL Queries carried out to determine if those certain objects were accessed.
How can you log access violations in snowflake DB?
As you can see in this example, the query history will provide the same log entry when a user tries to access a non-existent object or tries to access an object they don’t have access to. This means that you will need to customize the results to your needs and consider how to handle aggregation, filtering and storage, given that query logs are also limited to retrieving up to 10,000 results and the last 7 days.
Note that failing to audit these results may lead to a weak audit trail vulnerability, which can make it harder to react to threats down the line.
Identity management integration for federation
Snowflake enables identity management using either users defined within Snowflake, or users provisioneddefined by external identity providers such as Okta and Ping Identity, either with SCIM integration, or by SQL queries integration. This allows provisioning of users and rolesfederation of user management, rather than managing them within Snowflake itself, enabling the required roles and applying RBAC over those roles.
The approach of provisioning users is recommended over setting users directly in Snowflake, as it is a more streamlined process for managing user processes (such as onboarding, offboarding and changes in roles). This reduces the risks of having over-privileged users and forgetting to remove inactive users.
In addition, it is possible (and recommended) to manage authentication to Snowflake by IdP’s such as Okta, Azure AD or other SAML 2.0 supporting identity providers. This enables setting Single Sign-On (SSO) for the users, and is recommended, as it provides the same security policies as used in other service providers in the organization, as well as using your own Multi-Factor Authentication (MFA).
Snowflake provides excellent tools to help users engage with it in a secure way. Nonetheless, there are a number of instances where it is important to use an overlay for additional access controls and security visibility, and this is one of the reasons we're building Satori:
Satori and network access control
Satori can help you achieve significantly more granular network-based access control when deployed in front of a Snowflake environment. For example, using Satori can allow global access to your Snowflake data warehouse while prohibiting access to specific resources (databases, schemas, tables, rows or columns) outside of a certain set of IP addresses.
Satori and fine-grained access control of Snowflake DB:
When deploying Satori in front of a Snowflake environment, you can create column, row and cell-based granular access controls tied to business rules instead of securable objects. This enables easy maintenance of such policies and a gradual roll-out process (beginning with alert-only). You can also achieve easy visibility into the existing data access patterns and violations on the Satori dashboard or through Satori’s listing in the Snowflake Marketplace.
Satori and keeping track of access violations
Satori keeps track of logins and sessions to Satori-protected Snowflake environments, enabling security policies to handle such violations as well as enhanced visibility into suspicious incidents. You can also view all your database activities from different datastores via Satori’s Audit.
Satori and handling data protection of Snowflake DB permission issues:
By using Satori, access control violations (whether in “alert” mode or blocked) are logged infinitely, and security teams can gain full visibility into the violations to take appropriate action.
I hope you enjoyed reading this as much as I enjoyed writing it. If you encounter errors or think of parameters I neglected to review, please feel free to reach out to me on twitter (@kernelXSS) or by email.
Ben is an experienced tech leader and book author with a background in endpoint security, analytics, and application & data security. Ben filled roles such as the CTO of Cynet, and Director of Threat Research at Imperva. Ben is the Chief Scientist for Satori, the DataSecOps platform.