Microsoft Azure SQL Database Security Technical Implementation Guide

Nonrepudiation of actions taken is required in order to maintain data integrity. Examples of particular actions taken by individuals include creating information, sending a message, approving information (e.g., indicating concurrence or signing a contract), and receiving a message. Nonrepudiation protects against later claims by a user of not having created, modified, or deleted a particular data item or collection of data in the database. In designing a database, the organization must define the types of data and the user actions that must be protected from repudiation. The implementation must then include building audit features into the application data tables and configuring Azure SQL Database's audit tools to capture the necessary audit trail. Design and implementation also must ensure that applications pass individual user identification to Azure SQL Database, even where the application connects to Azure SQL Database with a standard, shared account.

Nonrepudiation of actions taken is required in order to maintain data integrity. Examples of particular actions taken by individuals include creating information, sending a message, approving information (e.g., indicating concurrence or signing a contract), and receiving a message. Nonrepudiation protects against later claims by a user of not having created, modified, or deleted a particular data item or collection of data in the database. In designing a database, the organization must define the types of data and the user actions that must be protected from repudiation. The implementation must then include building audit features into the application data tables and configuring the DBMS's audit tools to capture the necessary audit trail. Design and implementation also must ensure that applications pass individual user identification to the DBMS, even where the application connects to the DBMS with a standard, shared account. If the computer account of a remote computer is granted access to SQL Server, any service or scheduled task running as NT AUTHORITY\SYSTEM or NT AUTHORITY\NETWORK SERVICE can log into the instance and perform actions. These actions cannot be traced back to a specific user or process.

Within the database, object ownership implies full privileges to the owned object, including the privilege to assign access to the owned objects to other subjects. Database functions and procedures can be coded using definer's rights. This allows anyone who utilizes the object to perform the actions if they were the owner. If not properly managed, this can lead to privileged actions being taken by unauthorized individuals.

If the Azure SQL Database were to allow any user to make changes to database structure or logic, then those changes might be implemented without undergoing the appropriate testing and approvals that are part of a robust change management process. Accordingly, only qualified and authorized individuals will be allowed to obtain access to information system components for purposes of initiating changes, including upgrades and modifications. Unmanaged changes that occur to the database software libraries or configuration can lead to unauthorized or compromised installations.

An isolation boundary provides access control and protects the integrity of the hardware, software, and firmware that perform security functions. Security functions are the hardware, software, and/or firmware of the information system responsible for enforcing the system security policy and supporting the isolation of code and data on which the protection is based. Developers and implementers can increase the assurance in security functions by employing well-defined security policy models; structured, disciplined, and rigorous hardware and software development techniques; and sound system/security engineering principles. Database Management Systems typically separate security functionality from nonsecurity functionality via separate databases or schemas. Database objects or code implementing security functionality should not be commingled with objects or code implementing application logic. When security and nonsecurity functionality are commingled, users who have access to nonsecurity functionality may be able to access security functionality.

Applications, including DBMSs, must prevent unauthorized and unintended information transfer via shared system resources. Data used for the development and testing of applications often involves copying data from production. It is important that specific procedures exist for this process, to include the conditions under which such transfer may take place, where the copies may reside, and the rules for ensuring sensitive data are not exposed. Copies of sensitive data must not be misplaced or left in a temporary location without the proper controls.

Invalid user input occurs when a user inserts data or characters into an application's data entry fields and the application is unprepared to process that data. This results in unanticipated application behavior, potentially leading to an application or information system compromise. Invalid user input is one of the primary methods employed when attempting to compromise an application. With respect to database management systems, one class of threat is known as SQL Injection, or more generally, code injection. It takes advantage of the dynamic execution capabilities of various programming languages, including dialects of SQL. Potentially, the attacker can gain unauthorized access to data, including security settings, and severely corrupt or destroy the database. Even when no such hijacking takes place, invalid input that gets recorded in the database, whether accidental or malicious, reduces the reliability and usability of the system. Available protections include data types, referential constraints, uniqueness constraints, range checking, and application-specific logic. Application-specific logic can be implemented within the database in stored procedures and triggers, where appropriate. This calls for inspection of application source code, which will require collaboration with the application developers. It is recognized that in many cases, the database administrator (DBA) is organizationally separate from the application developers, and may have limited, if any, access to source code. Nevertheless, protections of this type are so important to the secure operation of databases that they must not be ignored. At a minimum, the DBA must attempt to obtain assurances from the development organization that this issue has been addressed, and must document what has been discovered.

With respect to database management systems, one class of threat is known as SQL Injection, or more generally, code injection. It takes advantage of the dynamic execution capabilities of various programming languages, including dialects of SQL. In such cases, the attacker deduces the manner in which SQL statements are being processed, either from inside knowledge or by observing system behavior in response to invalid inputs. When the attacker identifies scenarios where SQL queries are being assembled by application code (which may be within the database or separate from it) and executed dynamically, the attacker is then able to craft input strings that subvert the intent of the query. Potentially, the attacker can gain unauthorized access to data, including security settings, and severely corrupt or destroy the database. The principal protection against code injection is not to use dynamic execution except where it provides necessary functionality that cannot be utilized otherwise. Use strongly typed data items rather than general-purpose strings as input parameters to task-specific, pre-compiled stored procedures and functions (and triggers). This calls for inspection of application source code, which will require collaboration with the application developers. It is recognized that in many cases, the database administrator (DBA) is organizationally separate from the application developers, and may have limited, if any, access to source code. Nevertheless, protections of this type are so important to the secure operation of databases that they must not be ignored. At a minimum, the DBA must attempt to obtain assurances from the development organization that this issue has been addressed, and must document what has been discovered.

With respect to database management systems, one class of threat is known as SQL Injection, or more generally, code injection. It takes advantage of the dynamic execution capabilities of various programming languages, including dialects of SQL. In such cases, the attacker deduces the manner in which SQL statements are being processed, either from inside knowledge or by observing system behavior in response to invalid inputs. When the attacker identifies scenarios where SQL queries are being assembled by application code (which may be within the database or separate from it) and executed dynamically, the attacker is then able to craft input strings that subvert the intent of the query. Potentially, the attacker can gain unauthorized access to data, including security settings, and severely corrupt or destroy the database. The principal protection against code injection is not to use dynamic execution except where it provides necessary functionality that cannot be utilized otherwise. Use strongly typed data items rather than general-purpose strings as input parameters to task-specific, pre-compiled stored procedures and functions (and triggers). When dynamic execution is necessary, ways to mitigate the risk include the following, which should be implemented both in the on-screen application and at the database level, in the stored procedures: -- Allow strings as input only when necessary. -- Rely on data typing to validate numbers, dates, etc. Do not accept invalid values. If substituting other values for them, think carefully about whether this could be subverted. -- Limit the size of input strings to what is truly necessary. -- If single quotes/apostrophes, double quotes, semicolons, equals signs, angle brackets, or square brackets will never be valid as input, reject them. -- If comment markers will never be valid as input, reject them. In SQL, these are -- or /* */ -- If HTML and XML tags, entities, comments, etc., will never be valid, reject them. -- If wildcards are present, reject them unless truly necessary. In SQL these are the underscore and the percentage sign, and the word ESCAPE is also a clue that wildcards are in use. -- If SQL key words, such as SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER, DROP, ESCAPE, UNION, GRANT, REVOKE, DENY, MODIFY will never be valid, reject them. Use case-insensitive comparisons when searching for these. Bear in mind that some of these words, particularly Grant (as a person's name), could also be valid input. -- If there are range limits on the values that may be entered, enforce those limits. -- Institute procedures for inspection of programs for correct use of dynamic coding, by a party other than the developer. -- Conduct rigorous testing of program modules that use dynamic coding, searching for ways to subvert the intended use. -- Record the inspection and testing in the system documentation. -- Bear in mind that all this applies not only to screen input, but also to the values in an incoming message to a web service or to a stored procedure called by a software component that has not itself been hardened in these ways. Not only can the caller be subject to such vulnerabilities; it may itself be the attacker. This calls for inspection of application source code, which will require collaboration with the application developers. It is recognized that in many cases, the database administrator (DBA) is organizationally separate from the application developers, and may have limited, if any, access to source code. Nevertheless, protections of this type are so important to the secure operation of databases that they must not be ignored. At a minimum, the DBA must attempt to obtain assurances from the development organization that this issue has been addressed, and must document what has been discovered.

Without the association of security labels to information, there is no basis for Azure SQL Database to make security-related access-control decisions. Security labels are abstractions representing the basic properties or characteristics of an entity (e.g., subjects and objects) with respect to safeguarding information. These labels are typically associated with internal data structures (e.g., tables, rows) within the database and are used to enable the implementation of access control and flow control policies; reflect special dissemination, handling, or distribution instructions; or support other aspects of the information security policy. One example includes marking data as classified or CUI. These security labels may be assigned manually or during data processing, but, either way, it is imperative these assignments are maintained. If the security labels are lost, there is the risk of a data compromise. The mechanism used to support security labeling may be a feature of Azure SQL Database, a third-party product, or custom application code.

Without the association of security labels to information, there is no basis for Azure SQL Database to make security-related access-control decisions. Security labels are abstractions representing the basic properties or characteristics of an entity (e.g., subjects and objects) with respect to safeguarding information. These labels are typically associated with internal data structures (e.g., tables, rows) within the database and are used to enable the implementation of access control and flow control policies; reflect special dissemination, handling, or distribution instructions; or support other aspects of the information security policy. One example includes marking data as classified or CUI. These security labels may be assigned manually or during data processing, but, either way, it is imperative these assignments are maintained. If the security labels are lost, there is the risk of a data compromise. The mechanism used to support security labeling may be a feature of Azure SQL Database, a third-party product, or custom application code.

Without the association of security labels to information, there is no basis for Azure SQL Database to make security-related access-control decisions. Security labels are abstractions representing the basic properties or characteristics of an entity (e.g., subjects and objects) with respect to safeguarding information. These labels are typically associated with internal data structures (e.g., tables, rows) within the database and are used to enable the implementation of access control and flow control policies; reflect special dissemination, handling, or distribution instructions; or support other aspects of the information security policy. One example includes marking data as classified or CUI. These security labels may be assigned manually or during data processing, but, either way, it is imperative these assignments are maintained. If the security labels are lost, there is the risk of a data compromise. The mechanism used to support security labeling may be a feature of Azure SQL Database, a third-party product, or custom application code.

Discretionary Access Control (DAC) is based on the notion that individual users are "owners" of objects and therefore have discretion over who should be authorized to access the object and in which mode (e.g., read, write, execute). Ownership is usually acquired implicitly when creating the object or by explicit ownership assignment. DAC allows the owner to determine who will have access to objects they control and the permissions related to that access. An example of DAC includes user-controlled table permissions. When DAC policies are implemented, subjects are not constrained with regard to what actions they can take with information for which they have already been granted access. Thus, subjects that have been granted access to information are not prevented from passing (i.e., the subjects have the discretion to pass) the information to other subjects or objects. A subject that is constrained in its operation by Mandatory Access Control policies is still able to operate under the less rigorous constraints of this requirement. Thus, while Mandatory Access Control imposes constraints preventing a subject from passing information to another subject operating at a different sensitivity level, this requirement permits the subject to pass the information to any subject at the same sensitivity level. The policy is bounded by the information system boundary. Once the information is passed outside of the control of the information system, additional means may be required to ensure the constraints remain in effect. While the older, more traditional definitions of DCA require identity-based access control, that limitation is not required for this use of discretionary access control.

In certain situations, to provide required functionality, a DBMS needs to execute internal logic (stored procedures, functions, triggers, etc.) and/or external code modules with elevated privileges. However, if the privileges required for execution are at a higher level than the privileges assigned to organizational users invoking the functionality applications/programs, those users are indirectly provided with greater privileges than assigned by organizations. Privilege elevation by "Execute As" must be utilized only where necessary and protected from misuse.

Allowing regular users to install software, without explicit privileges, creates the risk that untested or potentially malicious software will be installed on the system. Explicit privileges (escalated or administrative privileges) provide the regular user with explicit capabilities and control that exceed the rights of a regular user. Azure SQL Database functionality and the nature and requirements of databases will vary, so while users are not permitted to install unapproved software, there may be instances where the organization allows the user to install approved software packages such as from an approved software repository. The requirements for production servers will be more restrictive than those used for development and research. Azure SQL Database must enforce software installation by users based upon what types of software installations are permitted (e.g., updates and security patches to existing software) and what types of installations are prohibited (e.g., software whose pedigree with regard to being potentially malicious is unknown or suspect) by the organization). In the case of a database management system, this requirement covers stored procedures, functions, triggers, views, etc.

Failure to provide logical access restrictions associated with changes to configuration may have significant effects on the overall security of the system. When dealing with access restrictions pertaining to change control, it should be noted that any changes to the hardware, software, and/or firmware components of the information system can potentially have significant effects on the overall security of the system. Accordingly, only qualified and authorized individuals must be allowed to obtain access to system components for the purposes of initiating changes, including upgrades and modifications.

Azure SQL Databases handling data requiring "data at rest" protections must employ cryptographic mechanisms to prevent unauthorized disclosure and modification of the information at rest. Selection of a cryptographic mechanism is based on the need to protect the integrity of organizational information. The strength of the mechanism is commensurate with the security category and/or classification of the information. The decision whether and what to encrypt rests with the data owner and is also influenced by the physical measures taken to secure the equipment and media on which the information resides.

Azure SQL Databases handling data requiring "data at rest" protections must employ cryptographic mechanisms to prevent unauthorized disclosure and modification of the information at rest. Selection of a cryptographic mechanism is based on the need to protect the integrity of organizational information. The strength of the mechanism is commensurate with the security category and/or classification of the information.

A common vulnerability is unplanned behavior when invalid inputs are received. This requirement guards against adverse or unintended system behavior caused by invalid inputs, where information system responses to the invalid input may be disruptive or cause the system to fail into an unsafe state. The behavior will be derived from the organizational and system requirements and includes, but is not limited to, notification of the appropriate personnel, creating an audit record, and rejecting invalid input. This calls for inspection of application source code, which will require collaboration with the application developers. It is recognized that in many cases, the database administrator (DBA) is organizationally separate from the application developers, and may have limited, if any, access to source code. Nevertheless, protections of this type are so important to the secure operation of databases that they must not be ignored. At a minimum, the DBA must attempt to obtain assurances from the development organization that this issue has been addressed, and must document what has been discovered.

Without the capability to generate audit records, it would be difficult to establish, correlate, and investigate the events relating to an incident or identify those responsible for one. Audit records can be generated from various components within Azure SQL Database (e.g., process, module). Certain specific application functionalities may be audited as well. The list of audited events is the set of events for which audits are to be generated. This set of events is typically a subset of the list of all events for which the system is capable of generating audit records. DOD has defined the list of events for which Azure SQL Database will provide an audit record generation capability as the following: (i) Successful and unsuccessful attempts to access, modify, or delete privileges, security objects, security levels, or categories of information (e.g., classification levels); (ii) Access actions, such as successful and unsuccessful logon attempts, privileged activities, or other system-level access, starting and ending time for user access to the system, concurrent logons from different workstations, successful and unsuccessful accesses to objects, all program initiations, and all direct access to the information system; and (iii) All account creation, modification, disabling, and termination actions. Organizations may define additional events requiring continuous or ad hoc auditing.

Without the capability to restrict which roles and individuals can select which events are audited, unauthorized personnel may be able to prevent or interfere with the auditing of critical events. Suppression of auditing could permit an adversary to evade detection. Misconfigured audits can degrade the system's performance by overwhelming the audit log. Misconfigured audits may also make it more difficult to establish, correlate, and investigate the events relating to an incident or identify those responsible for one.

Under some circumstances, it may be useful to monitor who/what is reading privilege/permission/role information. Therefore, it must be possible to configure auditing to do this. DBMSs typically make such information available through views or functions. This requirement addresses explicit requests for privilege/permission/role membership information. It does not refer to the implicit retrieval of privileges/permissions/role memberships that SQL Server continually performs to determine if any and every action on the database is permitted.

Under some circumstances, it may be useful to monitor who/what is reading privilege/permission/role information. Therefore, it must be possible to configure auditing to do this. DBMSs typically make such information available through views or functions. This requirement addresses explicit requests for privilege/permission/role membership information. It does not refer to the implicit retrieval of privileges/permissions/role memberships that Azure SQL Database continually performs to determine if any and every action on the database is permitted. To aid in diagnosis, it is necessary to keep track of failed attempts in addition to the successful ones.

Session auditing is for use when a user's activities are under investigation. To ensure capture of all activity during those periods when session auditing is in use, it needs to be in operation for the whole time Azure SQL Database is running.

Information system auditing capability is critical for accurate forensic analysis. Reconstruction of harmful events or forensic analysis is not possible if audit records do not contain enough information. To support analysis, some types of events will need information to be logged that exceeds the basic requirements of event type, time stamps, location, source, outcome, and user identity. If additional information is not available, it could negatively impact forensic investigations into user actions or other malicious events. The organization must determine what additional information is required for complete analysis of the audited events. The additional information required is dependent on the type of information (e.g., sensitivity of the data and the environment within which it resides). At a minimum, the organization must employ either full-text recording of privileged commands or the individual identities of users of shared accounts, or both. The organization must maintain audit trails in sufficient detail to reconstruct events to determine the cause and impact of compromise. Examples of detailed information the organization may require in audit records are full-text recording of privileged commands or the individual identities of shared account users.

If audit data were to become compromised, then competent forensic analysis and discovery of the true source of potentially malicious system activity is difficult, if not impossible, to achieve. In addition, access to audit records provides information an attacker could potentially use to his or her advantage. To ensure the veracity of audit data, the information system and/or the application must protect audit information from any and all unauthorized access. This includes read, write, copy, etc. This requirement can be achieved through multiple methods, which will depend upon system architecture and design. Some commonly employed methods include ensuring log files enjoy the proper file system permissions utilizing file system protections and limiting log data location. Additionally, applications with user interfaces to audit records must not allow the unfettered manipulation of or access to those records via the application. If the application provides access to the audit data, the application becomes accountable for ensuring that audit information is protected from unauthorized access. SQL Server is an application that is able to view and manipulate audit file data. Audit information includes all information (e.g., audit records, audit settings, and audit reports) needed to successfully audit information system activity. Satisfies: SRG-APP-000118-DB-000059, SRG-APP-000121-DB-000202

If audit data were to become compromised, then competent forensic analysis and discovery of the true source of potentially malicious system activity is difficult, if not impossible, to achieve. In addition, access to audit records provides information an attacker could potentially use to his or her advantage. To ensure the veracity of audit data, the information system and/or the application must protect audit information from any and all unauthorized access. This includes read, write, copy, etc. This requirement can be achieved through multiple methods, which will depend upon system architecture and design. Some commonly employed methods include ensuring log files enjoy the proper file system permissions utilizing file system protections and limiting log data location. Additionally, applications with user interfaces to audit records should not allow for the unfettered manipulation of, or access to, those records via the application. If the application provides access to the audit data, the application becomes accountable for ensuring that audit information is protected from unauthorized access. SQL Server is an application that is able to view and manipulate audit file data. Audit information includes all information (e.g., audit records, audit settings, and audit reports) needed to successfully audit information system activity.

If audit data were to become compromised, then competent forensic analysis and discovery of the true source of potentially malicious system activity is impossible to achieve. To ensure the veracity of audit data, the information system and/or the application must protect audit information from unauthorized deletion. This requirement can be achieved through multiple methods which will depend upon system architecture and design. Some commonly employed methods include: ensuring log files enjoy the proper file system permissions utilizing file system protections; restricting access; and backing up log data to ensure log data is retained. Applications providing a user interface to audit data will leverage user permissions and roles identifying the user accessing the data and the corresponding rights the user enjoys in order make access decisions regarding the deletion of audit data. Audit information includes all information (e.g., audit records, audit settings, and audit reports) needed to successfully audit information system activity. Deletion of database audit data could mask the theft of, or the unauthorized modification of, sensitive data stored in the database. Satisfies: SRG-APP-000120-DB-000061, SRG-APP-000122-DB-000203, SRG-APP-000123-DB-000204

Information systems are capable of providing a wide variety of functions and services. Some of the functions and services, provided by default, may not be necessary to support essential organizational operations (e.g., key missions, functions). It is detrimental for software products to provide, or install by default, functionality exceeding requirements or mission objectives. Examples include, but are not limited to, installing advertising software, demonstrations, or browser plugins not related to requirements or providing a wide array of functionality, not required for every mission, that cannot be disabled. Azure SQL Database must adhere to the principles of least functionality by providing only essential capabilities. Demonstration and sample database objects and applications present publicly known attack points for malicious users. These demonstration and sample objects are meant to provide simple examples of coding specific functions and are not developed to prevent vulnerabilities from being introduced to the Azure SQL Database.

To prevent unauthorized connection of devices, unauthorized transfer of information, or unauthorized tunneling (i.e., embedding of data types within data types), organizations must disable or restrict unused or unnecessary physical and logical ports/protocols/services on information systems. Applications are capable of providing a wide variety of functions and services. Some of the functions and services provided by default may not be necessary to support essential organizational operations. Additionally, it is sometimes convenient to provide multiple services from a single component (e.g., email and web services); however, doing so increases risk over limiting the services provided by any one component. To support the requirements and principles of least functionality, the application must support the organizational requirements providing only essential capabilities and limiting the use of ports, protocols, and/or services to only those required, authorized, and approved to conduct official business or to address authorized quality of life issues. Database Management Systems using ports, protocols, and services deemed unsafe are open to attack through those ports, protocols, and services. This can allow unauthorized access to the database and through the database to other components of the information system.

To ensure accountability and prevent unauthenticated access, organizational users must be identified and authenticated to prevent potential misuse and compromise of the system. Organizational users include organizational employees or individuals the organization deems to have equivalent status of employees (e.g., contractors). Organizational users (and any processes acting on behalf of users) must be uniquely identified and authenticated for all accesses, except the following: (i) Accesses explicitly identified and documented by the organization. Organizations document specific user actions that can be performed on the information system without identification or authentication; and (ii) Accesses that occur through authorized use of group authenticators without individual authentication. Organizations may require unique identification of individuals using shared accounts, for detailed accountability of individual activity.

The DOD standard for authentication is DOD-approved PKI certificates. Once a PKI certificate has been validated, it must be mapped to an Azure SQL Database user account for the authenticated identity to be meaningful to Azure SQL Database and useful for authorization decisions.

Nonorganizational users include all information system users other than organizational users, which include organizational employees or individuals the organization deems to have equivalent status of employees (e.g., contractors, guest researchers, individuals from allied nations). Nonorganizational users must be uniquely identified and authenticated for all accesses other than those accesses explicitly identified and documented by the organization when related to the use of anonymous access, such as accessing a web server. Accordingly, a risk assessment is used in determining the authentication needs of the organization. Scalability, practicality, and security are simultaneously considered in balancing the need to ensure ease of use for access to federal information and information systems with the need to protect and adequately mitigate risk to organizational operations, assets, individuals, and other organizations.

Information system management functionality includes functions necessary to administer databases, network components, workstations, or servers and typically requires privileged user access. The separation of user functionality from information system management functionality is either physical or logical and is accomplished by using different computers, different central processing units, different instances of the operating system, different network addresses, combinations of these methods, or other methods, as appropriate. An example of this type of separation is observed in web administrative interfaces that use separate authentication methods for users of any other information system resources. This may include isolating the administrative interface on a different domain and with additional access controls. If administrative functionality or information regarding Azure SQL Database management is presented on an interface available for users, information on Azure SQL Database settings may be inadvertently made available to the user.

This addresses the termination of user-initiated logical sessions in contrast to the termination of network connections that are associated with communications sessions (i.e., network disconnect). A logical session (for local, network, and remote access) is initiated whenever a user (or process acting on behalf of a user) accesses an organizational information system. Such user sessions can be terminated (and thus terminate user access) without terminating network sessions. Session termination ends all processes associated with a user's logical session except those batch processes/jobs that are specifically created by the user (i.e., session owner) to continue after the session is terminated. Conditions or trigger events requiring automatic session termination can include, for example, organization-defined periods of user inactivity, targeted responses to certain types of incidents, and time-of-day restrictions on information system use. This capability is typically reserved for specific cases where the system owner, data owner, or organization requires additional assurance.

Preventing nonprivileged users from executing privileged functions mitigates the risk that unauthorized individuals or processes may gain unnecessary access to information or privileges. System documentation must include a definition of the functionality considered privileged. Depending on circumstances, privileged functions can include, for example, establishing accounts, performing system integrity checks, or administering cryptographic key management activities. Nonprivileged users are individuals that do not possess appropriate authorizations. Circumventing intrusion detection and prevention mechanisms or malicious code protection mechanisms are examples of privileged functions that require protection from Nonprivileged users. A privileged function in Azure SQL Database context is any operation that modifies the structure of the database, its built-in logic, or its security settings. This would include all Data Definition Language (DDL) statements and all security-related statements. In an Azure SQL Database environment, it encompasses, but is not necessarily limited to: CREATE ALTER DROP GRANT REVOKE DENY There may also be Data Manipulation Language (DML) statements that, subject to context, should be regarded as privileged. Possible examples include: TRUNCATE TABLE; DELETE, or DELETE affecting more than n rows, for some n, or DELETE without a WHERE clause; UPDATE or UPDATE affecting more than n rows, for some n, or UPDATE without a WHERE clause; Any SELECT, INSERT, UPDATE, or DELETE to an application-defined security table executed by other than a security principal. Depending on the capabilities of Azure SQL Database and the design of the database and associated applications, the prevention of unauthorized use of privileged functions may be achieved by means of Azure SQL Database security features, database triggers, other mechanisms, or a combination of these.

Without the ability to centrally manage the content captured in the audit records, identification, troubleshooting, and correlation of suspicious behavior would be difficult and could lead to a delayed or incomplete analysis of an ongoing attack. The content captured in audit records must be managed from a central location (necessitating automation). Centralized management of audit records and logs provides for efficiency in maintenance and management of records, as well as the backup and archiving of those records. Azure SQL Database may write audit records to database tables, to files in the file system, to other kinds of local repository, or directly to a centralized log management system. Whatever the method used, it must be compatible with offloading the records to the centralized system.

To ensure sufficient storage capacity for the audit logs, the Azure SQL Database must be able to allocate audit record storage capacity. Although another requirement (SRG-APP-000515-DB-000318) mandates that audit data be offloaded to a centralized log management system, it remains necessary to provide space to serve as a buffer against outages and capacity limits of the offloading mechanism. The task of allocating audit record storage capacity is usually performed during initial setup of Azure SQL Database and is closely associated with the DBA and system administrator roles. The DBA or system administrator will usually coordinate the allocation of physical drive space with the application owner/installer and the application will prompt the installer to provide the capacity information, the physical location of the disk, or both. In determining the capacity requirements, consider such factors as the maximum storage account size for blob data is 5PB, the total number of users; expected number of concurrent users during busy periods; number and type of events being monitored; types and amounts of data being captured; the frequency/speed with which audit records are offloaded to the central log management system; and any limitations that exist on the Azure storage accounts ability to reuse the space formerly occupied by offloaded records.

Auditing for Azure SQL Database tracks database events and writes them to an audit log in the Azure storage account, Log Analytics workspace, or Event Hubs. Under normal conditions, the audit space allocated by an Azure Storage account can grow quite large. Since a requirement exists to halt processing upon audit failure, a service outage would result.

Without auditing the enforcement of access restrictions against changes to configuration, it would be difficult to identify attempted attacks and an audit trail would not be available for forensic investigation for after-the-fact actions. Enforcement actions are the methods or mechanisms used to prevent unauthorized changes to configuration settings. Enforcement action methods may be as simple as denying access to a file based on the application of file permissions (access restriction). Audit items may consist of lists of actions blocked by access restrictions or changes identified after the fact.

Use of nonsecure firewall settings, such as allowing public access, exposes the system to avoidable threats.

Use of nonsecure firewall settings, such as allowing azure services to access the server, exposes the system to avoidable threats.

Information can be either unintentionally or maliciously disclosed or modified during preparation for transmission, including, for example, during aggregation, at protocol transformation points, and during packing/unpacking. These unauthorized disclosures or modifications compromise the confidentiality or integrity of the information. Use of this requirement will be limited to situations where the data owner has a strict requirement for ensuring data integrity and confidentiality is maintained at every step of the data transfer and handling process. When transmitting data, Azure SQL Database, associated applications, and infrastructure must leverage transmission protection mechanisms.

Information can be either unintentionally or maliciously disclosed or modified during reception, including, for example, during aggregation, at protocol transformation points, and during packing/unpacking. These unauthorized disclosures or modifications compromise the confidentiality or integrity of the information. This requirement applies only to those applications that are either distributed or can allow access to data nonlocally. Use of this requirement will be limited to situations where the data owner has a strict requirement for ensuring data integrity and confidentiality is maintained at every step of the data transfer and handling process. When receiving data, Azure SQL Database, associated applications, and infrastructure must leverage protection mechanisms.

Changes to the security configuration must be tracked. This requirement applies to situations where security data is retrieved or modified via data manipulation operations, as opposed to via specialized security functionality. In an SQL environment, types of access include, but are not necessarily limited to: SELECT INSERT UPDATE DELETE EXECUTE

Changes to the security configuration must be tracked. This requirement applies to situations where security data is retrieved or modified via data manipulation operations, as opposed to via specialized security functionality. In a SQL environment, types of access include, but are not necessarily limited to: SELECT INSERT UPDATE DELETE EXECUTE

Changes in categorized information must be tracked. Without an audit trail, unauthorized access to protected data could go undetected. For detailed information on categorizing information, refer to FIPS Publication 199, Standards for Security Categorization of Federal Information and Information Systems, and FIPS Publication 200, Minimum Security Requirements for Federal Information and Information Systems.

Changes in categorized information must be tracked. Without an audit trail, unauthorized access to protected data could go undetected. To aid in diagnosis, it is necessary to keep track of failed attempts in addition to the successful ones. For detailed information on categorizing information, refer to FIPS Publication 199, Standards for Security Categorization of Federal Information and Information Systems, and FIPS Publication 200, Minimum Security Requirements for Federal Information and Information Systems.

Changes in the permissions, privileges, and roles granted to users and roles must be tracked. Without an audit trail, unauthorized elevation or restriction of privileges could go undetected. Elevated privileges give users access to information and functionality that they should not have; restricted privileges wrongly deny access to authorized users. In an Azure SQL Database environment, adding permissions is typically done via the GRANT command, or, in the negative, the DENY command.

Failed attempts to change the permissions, privileges, and roles granted to users and roles must be tracked. Without an audit trail, unauthorized attempts to elevate or restrict privileges could go undetected. In an Azure SQL Database environment, adding permissions is typically done via the GRANT command, or, in the negative, the DENY command. To aid in diagnosis, it is necessary to keep track of failed attempts in addition to the successful ones.

Changes in the permissions, privileges, and roles granted to users and roles must be tracked. Without an audit trail, unauthorized elevation or restriction of privileges could go undetected. Elevated privileges give users access to information and functionality that they should not have; restricted privileges wrongly deny access to authorized users. In an SQL environment, modifying permissions is typically done via the GRANT, REVOKE, and DENY commands.

Failed attempts to change the permissions, privileges, and roles granted to users and roles must be tracked. Without an audit trail, unauthorized attempts to elevate or restrict privileges could go undetected. In an SQL environment, modifying permissions is typically done via the GRANT, REVOKE, and DENY commands. To aid in diagnosis, it is necessary to keep track of failed attempts in addition to the successful ones.

Changes in the database objects (tables, views, procedures, functions) that record and control permissions, privileges, and roles granted to users and roles must be tracked. Without an audit trail, unauthorized changes to the security subsystem could go undetected. The database could be severely compromised or rendered inoperative.

Changes in the database objects (tables, views, procedures, functions) that record and control permissions, privileges, and roles granted to users and roles must be tracked. Without an audit trail, unauthorized changes to the security subsystem could go undetected. The database could be severely compromised or rendered inoperative. To aid in diagnosis, it is necessary to keep track of failed attempts in addition to the successful ones.

Changes in categorized information must be tracked. Without an audit trail, unauthorized access to protected data could go undetected. For detailed information on categorizing information, refer to FIPS Publication 199, Standards for Security Categorization of Federal Information and Information Systems, and FIPS Publication 200, Minimum Security Requirements for Federal Information and Information Systems.

Changes in categories of information must be tracked. Without an audit trail, unauthorized access to protected data could go undetected. To aid in diagnosis, it is necessary to keep track of failed attempts in addition to the successful ones. For detailed information on categorizing information, refer to FIPS Publication 199, Standards for Security Categorization of Federal Information and Information Systems, and FIPS Publication 200, Minimum Security Requirements for Federal Information and Information Systems.

Changes in the permissions, privileges, and roles granted to users and roles must be tracked. Without an audit trail, unauthorized elevation or restriction of privileges could go undetected. Elevated privileges give users access to information and functionality that they should not have; restricted privileges wrongly deny access to authorized users. In an SQL environment, deleting permissions is typically done via the REVOKE or DENY command.

Failed attempts to change the permissions, privileges, and roles granted to users and roles must be tracked. Without an audit trail, unauthorized attempts to elevate or restrict privileges could go undetected. In an SQL environment, deleting permissions is typically done via the REVOKE or DENY command. To aid in diagnosis, it is necessary to keep track of failed attempts in addition to the successful ones.

The removal of security objects from the database/DBMS would seriously degrade a system's information assurance posture. If such an event occurs, it must be logged.

The removal of security objects from the database/DBMS would seriously degrade a system's information assurance posture. If such an action is attempted, it must be logged. To aid in diagnosis, it is necessary to keep track of failed attempts in addition to the successful ones.

Changes in categorized information must be tracked. Without an audit trail, unauthorized access to protected data could go undetected. For detailed information on categorizing information, refer to FIPS Publication 199, Standards for Security Categorization of Federal Information and Information Systems, and FIPS Publication 200, Minimum Security Requirements for Federal Information and Information Systems.

Changes in categorized information must be tracked. Without an audit trail, unauthorized access to protected data could go undetected. To aid in diagnosis, it is necessary to keep track of failed attempts in addition to the successful ones. For detailed information on categorizing information, refer to FIPS Publication 199, Standards for Security Categorization of Federal Information and Information Systems, and FIPS Publication 200, Minimum Security Requirements for Federal Information and Information Systems.

For completeness of forensic analysis, it is necessary to track who/what (a user or other principal) logs on to Azure SQL Database.

For completeness of forensic analysis, it is necessary to track failed attempts to log on to Azure SQL Database. While positive identification may not be possible in a case of failed authentication, as much information as possible about the incident must be captured.

Without tracking privileged activity, it would be difficult to establish, correlate, and investigate the events relating to an incident or identify those responsible for one. System documentation should include a definition of the functionality considered privileged. A privileged function in this context is any operation that modifies the structure of the database, its built-in logic, or its security settings. This would include all Data Definition Language (DDL) statements and all security-related statements. In an SQL environment, it encompasses, but is not necessarily limited to: CREATE ALTER DROP GRANT REVOKE DENY There may also be Data Manipulation Language (DML) statements that, subject to context, should be regarded as privileged. Possible examples in SQL include: TRUNCATE TABLE; DELETE, or DELETE affecting more than n rows, for some n, or DELETE without a WHERE clause; UPDATE or UPDATE affecting more than n rows, for some n, or UPDATE without a WHERE clause; any SELECT, INSERT, UPDATE, or DELETE to an application-defined security table executed by other than a security principal. Depending on the capabilities of Azure SQL Database and the design of the database and associated applications, audit logging may be achieved by means of Azure SQL Database auditing features, database triggers, other mechanisms, or a combination of these. Note that it is particularly important to audit, and tightly control, any action that weakens the implementation of this requirement itself, since the objective is to have a complete audit trail of all administrative activity.

Without tracking privileged activity, it would be difficult to establish, correlate, and investigate the events relating to an incident or identify those responsible for one. System documentation should include a definition of the functionality considered privileged. A privileged function in this context is any operation that modifies the structure of the database, its built-in logic, or its security settings. This would include all Data Definition Language (DDL) statements and all security-related statements. In an SQL environment, it encompasses, but is not necessarily limited to: CREATE ALTER DROP GRANT REVOKE DENY Note that it is particularly important to audit, and tightly control, any action that weakens the implementation of this requirement itself, since the objective is to have a complete audit trail of all administrative activity. To aid in diagnosis, it is necessary to keep track of failed attempts in addition to the successful ones.

For completeness of forensic analysis, it is necessary to know how long a user's (or other principal's) connection to the Azure Database lasts. This can be achieved by recording disconnections, in addition to logons/connections, in the audit logs. Disconnection may be initiated by the user or forced by the system (as in a timeout) or result from a system or network failure. To the greatest extent possible, all disconnections must be logged.

For completeness of forensic analysis, it is necessary to track who logs on to Azure SQL Database. Concurrent connections by the same user from multiple workstations may be valid use of the system; or such connections may be due to improper circumvention of the requirement to use the CAC for authentication; or they may indicate unauthorized account sharing; or they may be because an account has been compromised. If the fact of multiple, concurrent logons by a given user can be reliably reconstructed from the log entries for other events (logons/connections; voluntary and involuntary disconnections), it is not mandatory to create additional log entries specifically for this.

Without tracking all or selected types of access to all or selected objects (tables, views, procedures, functions, etc.), it would be difficult to establish, correlate, and investigate the events relating to an incident, or identify those responsible for one. In an SQL environment, types of access include, but are not necessarily limited to: SELECT INSERT UPDATE DELETE EXECUTE

Without tracking all or selected types of access to all or selected objects (tables, views, procedures, functions, etc.), it would be difficult to establish, correlate, and investigate the events relating to an incident or identify those responsible for one. In an SQL environment, types of access include, but are not necessarily limited to: SELECT INSERT UPDATE DELETE EXECUTE To aid in diagnosis, it is necessary to keep track of failed attempts in addition to the successful ones.

In this context, direct access is any query, command, or call to Azure SQL Database that comes from any source other than the application(s) that it supports. Examples would be the command line or a database management utility program. The intent is to capture all activity from administrative and nonstandard sources.

Information stored in one location is vulnerable to accidental or incidental deletion or alteration. Offloading is a common process in information systems with limited audit storage capacity. Azure SQL Database may write audit records blob storage, log analytics, or event hub. Multiple methods should be used to ensure audit files are retained, or immutable storage should be used.