Query ACLs
Summarize
Summary of Query ACLs
Query ACLs enable granular access control for querying data within ServiceNow. By defining who can query specific data, organizations can enhance security and prevent unauthorized data access, particularly against blind query attacks.
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Key Features
- Operation Types: Query ACLs can be set to either queryrange or querymatch, allowing for targeted control over data access based on user permissions.
- Granular Control: Ideal for scenarios where data sensitivity requires partial or conditional access, such as restricting access to specific rows or columns in a table.
- Safe Operators: The querymatch operation includes safe operators (EQUALS, NOTEQUALS, etc.) that prevent exploitation, while queryrange allows broader queries but requires careful management.
Key Outcomes
By implementing Query ACLs, customers can:
- Prevent unauthorized access to sensitive information, such as salary details or personal identifiers.
- Ensure compliance with data protection policies by controlling how data can be queried.
- Override default read access with specific ACL rules to enhance security measures based on data sensitivity.
Query ACLs allow you to define more granular access control by explicitly defining who can query the data.
What is a query ACL
A query ACLs have their operation set to either query_range or
query_match. Query ACLs allow for more specific control of user queries, restricting or enabling access based on their
setup.
Query
ACLs are powerful tools against blind query attacks, where an attacker blindly queries the data to extract information from results, even when they can't see the values.
When to use a query ACL
Wherever a column contains sensitive values, and allows partial/conditional access to data a query ACL should be considered and implemented as necessary based on the sensitivity of the data. Wherever there is a partial/conditional access to rows and their columns in tables, especially where that access is not enforced by data filters, query ACLs should be implemented as necessary based on the sensitivity of the data.
Payroll query control
I can see one row in payroll table with my salary, but there is no reason for me to be able to issue range queries to query users with a salary contained within 2 boundaries. Aquery_range ACL on salary would prevent me from issuing that query.HR query control
I can see all hr_profiles, but can only see SSN for myself. I have no business querying SSN, and query ACLs should prevent me from running queries against SSN of other hr profiles to try to extract SSN mappings.
Query ACL behavior
query_match and query_range operations for secure and granular table
querying behavior. Their behaviors are described below:query_match-
query_matchis composed of: EQUALS, NOT_EQUALS, IN, NOT_IN, SAMEAS, NSAMEAS, ANYTHING, ISEMPTYSTRING, ISEMPTY, ISNOTEMPTY, ISNULL, ISNOTNULL.query_matchis made of the "safe operators", in a sense that they are built to fetch specific record(s), and can't be exploited to return others.Evaluation outcome Result Pass User can submit match queries Fail User will not be able to submit match queries: - EQUALS
- NOT_EQUALS
- IN
- NOT_IN
- SAMEAS
- NSAMEAS
- ANYTHING
- ISEMPTYSTRING
- ISEMPTY
- ISNOTEMPTY
- ISNULL
- ISNOTNULL
query_range-
query_rangeis composed of all the others (STARTS_WITH, CONTAINS, >=, <= etc) which are more dangerous as they allow users to query for more records by adjusting the boundary values.Evaluation outcome Result Pass User can submit range queries and sorting is unrestricted Fail The user will not be able to submit range queries with (STARTS_WITH, CONTAINS, >=, <=, etc. Sorting by column is restricted
Query ACLs (both query_match and query_range) default to a star.star ACL that delegates to read access. This means, where ACLs are enforced on queries, if no query ACL was created then read access to the column is evaluated ; if query ACLs are defined then they override the default behavior.