How to encrypt passwords in sql server 2012 a step by step guide: Encrypting passwords is essential to protect user data and meet compliance. If you’re stuck on where to start, this guide lays out a practical, step-by-step approach—from choosing the right encryption method to implementing it in stored procedures and applications. Quick facts: SQL Server 2012 supports password hashing with built-in functions and encryption options, but you’ll want a layered approach that combines hashing, salting, and secure key management.
- Quick fact: Password hashing with salt helps prevent rainbow table attacks.
- Quick fact: Always store only hashed passwords, never plaintext.
- Quick fact: Use a secure key store for encryption keys, prefer Windows DPAPI or a protected service wallet.
Useful Resources and URLs text only, not clickable
Microsoft Docs – sql server encryption fundamentals: https://docs.microsoft.com/en-us/sql/relational-databases/security/encryption
SQL Server 2012 Books Online – encryption functions: http://msdn.microsoft.com
OWASP Password Storage Cheat Sheet – https://owasp.org/www-project-cheat-sheets/cheatsheets/Password_Storage_Cheat_Sheet.html
NIST Password Guidelines – https://pages.nist.gov/800-63-3/
SQL Server Security Best Practices – https://www.microsoft.com/security/blog/security-basics/sql-server-security-best-practices
Understanding the basics: hashing, salting, and encryption
When you hear about securing passwords, three concepts matter most: hashing, salting, and encryption. Hashing is a one-way function that turns a password into a fixed-length string. Salting adds random data to the password before hashing, so identical passwords have different hashes. Encryption, on the other hand, is reversible with the right key. For passwords, hashing with salt is standard practice; encryption is used for protecting secrets like connection strings or keys, not for storing passwords themselves.
- Hashing with salt example: SHA-256 or SHA-512 with a unique salt per user.
- Encryption example use case: Protecting sensitive data at rest such as API keys or user secrets in config files.
- Important distinction: Do not store plain passwords; always hash with salt for authentication.
Step 1: Plan your approach and governance
Before you touch code, map out who can access the keys, where keys live, and how you rotate them. In SQL Server 2012, you don’t have the modern Always Encrypted feature, so you’ll mainly rely on:
- A strong, unique salt per user.
- A secure hashing algorithm SHA-256 or SHA-512.
- A separate secure key management approach for any encryption you actually implement e.g., protecting sensitive data outside of password verification.
Governance checklist:
- Decide on the hashing algorithm and salt length.
- Choose where to store salts in the same user table is common and how to protect them.
- Define key management and rotation policies for any encryption keys you use for ancillary data.
Step 2: Generate a salt and hash the password
In SQL Server 2012, you can implement hashing with a salt inside a stored procedure or application layer. A typical approach is to generate a random salt, concatenate it with the password, and then hash the combination.
- Use a secure random generator for the salt e.g., NEWID is not ideal for cryptographic salt; consider a CLR function or a T-SQL based approach with a strong RNG.
- Store the salt alongside the resulting hash.
Example conceptual: How to Enable Virtualization in Windows Server 2012 A Step by Step Guide 2026
- Salt: a 16-byte random value
- Hash: HASHBYTES’SHA2_512′, CONCAT@salt, @password
Note: SQL Server 2012 introduced HASHBYTES and new cryptographic hash algorithms like SHA-256/SHA-512 via HASHBYTES.
Step 3: Implement a robust password storage scheme
A practical scheme:
- Generate a unique salt per user 16 bytes or 32 hex characters
- Compute a hash using HASHBYTES with SHA-256 or SHA-512
- Store both the salt and the hash in the user table
- Store the hash in binary/VARBINARY or as a hex string, depending on your schema
Sample schema concept:
CREATE TABLE dbo.Users
UserId INT IDENTITY PRIMARY KEY,
Username NVARCHAR64 UNIQUE NOT NULL,
PasswordHash VARBINARY64 NOT NULL,
Salt VARBINARY32 NOT NULL,
OtherData NVARCHAR256
;
Step 4: Create a stored procedure to register users
The registration flow should:
- Generate a cryptographically secure salt
- Compute the password hash with the salt
- Store the salt and hash in the database
- Return a success or error
Sample pseudo-code T-SQL:
CREATE PROCEDURE dbo.RegisterUser
@Username NVARCHAR64,
@Password NVARCHAR128
AS
BEGIN
DECLARE @Salt VARBINARY32;
SET @Salt = CRYPTO_RANDOM_BYTES32; — pseudo-function; implement with a secure method
DECLARE @Hash VARBINARY64;
SET @Hash = HASHBYTES’SHA2_512′, CONCAT@Salt, @Password;
INSERT INTO dbo.Users Username, PasswordHash, Salt
VALUES @Username, @Hash, @Salt;
END How to enable performance counter in sql server a step by step guide for sql performance monitoring and tuning 2026
Notes:
- SQL Server 2012 doesn’t have CRYPTO_RANDOM_BYTES built-in; you’ll need a secure way to generate random bytes, possibly via a CLR integration or a secure application layer.
Step 5: Create a stored procedure to verify passwords
For login:
- Retrieve the stored Salt and Hash for the user.
- Compute HASHBYTES’SHA2_512′, CONCATSalt, ProvidedPassword
- Compare with the stored hash using a timing-safe comparison approach.
Sample concept:
CREATE PROCEDURE dbo.VerifyUser
@Username NVARCHAR64,
@Password NVARCHAR128,
@IsValid BIT OUTPUT
AS
BEGIN
DECLARE @Hash VARBINARY64;
DECLARE @Salt VARBINARY32;
SELECT PasswordHash, Salt INTO @Hash, @Salt FROM dbo.Users WHERE Username = @Username;
IF @Hash IS NULL BREAK;
IF @Hash = HASHBYTES’SHA2_512′, CONCAT@Salt, @Password
SET @IsValid = 1;
ELSE
SET @IsValid = 0;
END
Tips:
- Perform constant-time comparison if possible to prevent timing attacks. SQL Server’s native comparison operators are not guaranteed to be timing-safe; consider returning a boolean and performing careful checks in application code.
Step 6: Key management and encryption for other sensitive data
If you need to encrypt other sensitive data not passwords, SQL Server 2012 supports encryption features like: How to Enable HSTS in Windows Server 2016: A Complete IIS Guide for HTTPS Security and Preload 2026
- Symmetric keys, certificates
- Encrypting with keys stored in the Database Encryption Key DEK
Basic steps:
- Create a certificate or symmetric key
- Create a DEK
- Use ENCRYPTBYPASSPHRASE, ENCRYPTBYKEY, or ENCRYPTBYCERT to encrypt data
- Decrypt with corresponding decrypt functions
Important: Keep the encryption keys secure. Use a separate secure store, rotate keys periodically, and limit who can access them.
Table: example for storing encrypted data
CREATE TABLE dbo.SensitiveData
DataId INT IDENTITY PRIMARY KEY,
UserId INT,
EncryptedValue VARBINARYMAX,
— other columns
;
— Key setup simplified
CREATE MASTER KEY ENCRYPTION BY PASSWORD = ‘StrongMasterKeyPassword!’;
CREATE CERTIFICATE dbo.SensitiveDataCert WITH SUBJECT = ‘Sensitive data’;
CREATE SYMMETRIC KEY dbo.SensitiveDataKey WITH ALGORITHM = AES_256 ENCRYPTION BY CERTIFICATE dbo.SensitiveDataCert;
— Encryption example
OPEN SYMMETRIC KEY dbo.SensitiveDataKey DECRYPTION BY CERTIFICATE dbo.SensitiveDataCert;
UPDATE dbo.SensitiveData
SET EncryptedValue = EncryptByKeyKey_GUID’dbo.SensitiveDataKey’, CONVERTVARBINARYMAX, @PlainValue
WHERE DataId = @DataId; How to enable sftp server in ubuntu a comprehensive guide 2026
— Decryption example
OPEN SYMMETRIC KEY dbo.SensitiveDataKey DECRYPTION BY CERTIFICATE dbo.SensitiveDataCert;
SELECT CONVERTNVARCHARMAX, DecryptByKeyEncryptedValue AS PlainValue
FROM dbo.SensitiveData
WHERE DataId = @DataId;
Step 7: Security best practices and testing
- Never log plaintext passwords or hashes in logs.
- Use parameterized queries to prevent SQL injection.
- Regularly rotate salts and rehash if you upgrade to stronger algorithms e.g., from SHA-256 to SHA-512.
- Add monitoring for unusual login attempts and implement account lockouts.
- Test password reset flows to ensure salts aren’t leaked and renewal processes are secure.
Data and statistics
- Password breach studies show that salted hashes dramatically reduce the risk of precomputed attacks. Proper salting can increase attacker work factor by many orders of magnitude.
- SHA-256/512 are widely supported and recognized as robust for password hashing when paired with unique salts and proper iteration in modern setups, you’d use PBKDF2, bcrypt, or scrypt; SQL Server 2012 lacks built-in PBKDF2 in HASHBYTES, so rely on application-side or CLR-based implementations for iterations.
Step 8: Migration path and future-proofing
If you’re maintaining an older deployment:
- Plan a phased migration to stronger hashing e.g., moving from plain SHA-1 to SHA-256/512 with per-user salts.
- Consider upgrading to newer SQL Server versions to leverage built-in password hashing functions or Always Encrypted for client-side encryption.
- Document your hashing parameters algorithm, salt length, iteration count if applicable and store them securely.
Practical tips and common pitfalls
- Don’t reuse salts across users. Each user should have a unique salt.
- Don’t store both the salt and the password in a reversible format; hashing is one-way, and you want to avoid exposing password data.
- If you must log hashes for debugging, ensure logs are strictly access-controlled and scrubbed of sensitive values.
- For performance, test the hashing process under load to ensure it won’t become a bottleneck during peak login times.
- Consider moving heavy cryptographic work to the application layer if you need more flexibility or stronger algorithms not available in T-SQL.
Real-world example: a simple login check flow
- User registers with username and password.
- System generates a 32-byte salt, hashes with SHA-512, stores both in Users table.
- User attempts login.
- System fetches salt and hash for the username, hashes the provided password with the stored salt, and compares securely.
- If equal, authentication succeeds; otherwise, it fails.
Tooling and additional resources
- Use a CLR integration if you need advanced cryptographic operations not readily available in T-SQL.
- Consider building a small internal library in your application that handles hashing and salting consistently across all services.
- Keep your software and encryption configurations documented and versioned.
FAQ Section
Frequently Asked Questions
What should I store with the user password hash?
Store the salt used for hashing and a pointer to the hashing algorithm. Do not store the plaintext password. How to Enable DNS on OpenVPN Server DD-WRT: A Step-by-Step Guide for DNS Over VPN and Router Setup 2026
Is hashing alone enough for password storage?
Hashing with a unique salt per user is the baseline. For stronger protection, integrate iterations PBKDF2-style, or migrate to bcrypt or Argon2 in a future-proof design when possible. SQL Server 2012 lacks built-in PBKDF2; consider application-layer implementations or CLR.
Should I use encryption for passwords in SQL Server 2012?
No, you should hash passwords with salt. Encryption is reversible and not appropriate for storing passwords. Use encryption for protecting other sensitive data, not for passwords.
How big should the salt be?
A 16- to 32-byte salt is common. The larger, the better for avoiding collisions; 32 bytes is a solid choice for modern setups.
What hash algorithm should I use in SQL Server 2012?
SHA-2 family, specifically SHA-256 or SHA-512. SHA-1 and MD5 are no longer recommended due to collision vulnerabilities.
How do I rotate hashing algorithms?
Plan an upgrade path: store metadata about the hashing method and iteration count. Re-hash passwords on next login or during a password change with the new algorithm, and migrate salts if needed. How to enable line number in sql server step by step guide 2026
How do I protect salts and hashes from leaks?
Limit access with least privilege, use secure connections TLS, monitor access, and store hashes and salts in a dedicated secure table with encryption at rest if possible.
Can I test the strength of my password storage?
Yes. Run penetration testing focused on password handling, check that salts are unique, and test for rainbow table resistance by verifying that the same password yields different hashes per user.
How do I handle password resets securely?
Use secure, token-based password reset flows with short expiry times. Do not reveal if a username exists; avoid information leakage.
What about failed login attempts and brute-force protection?
Implement account lockouts or progressive delays after repeated failed attempts. Keep logs and monitor for suspicious activity.
Hash and salt passwords, don’t encrypt them. use HASHBYTES with a per-password salt and store the salt and hash. In SQL Server 2012 you can implement salted hashes using HASHBYTES and CRYPT_GEN_RANDOM, then verify by re-hashing user input with the same salt. This guide walks you through a practical, step-by-step approach, with ready-to-use SQL snippets, best practices, and concrete examples so you can implement secure password storage today. How to Enable DNS Server in Packet Tracer: Setup, Configuration, and Troubleshooting 2026
- In this guide you’ll learn why hashing beats encryption for passwords
- How to generate per-user salts securely in SQL Server 2012
- How to implement a salt + hash password storage model with optional iterations for “key stretching”
- How to verify a password at login
- How to migrate existing passwords to a salted hash
- Common pitfalls and performance considerations
- Practical code samples you can copy-paste
Useful URLs and Resources un-clickable text:
- NIST Password Guidance – nist.gov
- OWASP Password Storage Cheat Sheet – owasp.org
- SQL Server 2012 Books Online – Microsoft Docs – docs.microsoft.com
- CRYPTOGRAPHY in SQL Server – TechNet articles
- Hashing vs Encryption: overview references – en.wikipedia.org/wiki/Cryptographic_hash_function
Introduction: what you’ll get and how to approach it
Hash and salt passwords, don’t encrypt them. use HASHBYTES with a per-password salt. In SQL Server 2012 you can implement salted hashes using HASHBYTES and CRYPT_GEN_RANDOM, then verify by re-hashing the input with the stored salt. This article provides a practical, step-by-step approach to securely storing passwords in SQL Server 2012, including:
- A real-world data model for storing password hash, salt, and iterations
- A reusable SQL function to derive a salted hash
- Stored procedures to create users and verify credentials
- A migration plan for existing passwords
- Tips on peppering, iteration counts, and performance
- A FAQ section with common questions and clear answers
Data-driven context you can rely on
- Security best practices increasingly emphasize salted hashes with a computational cost iterations to deter brute-force attacks. SHA-512 is widely used in enterprise settings as a strong hash function, but for password storage many teams also rely on specialized algorithms bcrypt, scrypt, Argon2 that are designed for password hashing. In SQL Server 2012, the most practical approach is salted hashing with a configurable number of iterations to achieve a reasonable cost on modern hardware.
- A per-user salt ensures that even identical passwords produce different hashes, so a breach of one hash doesn’t reveal others.
- Storing the salt alongside the hash and the iterations used is essential to verify passwords later during login.
Now, let’s get into the hands-on part. The steps below are designed to be copy-paste friendly and easy to adapt.
Why hashing is the right choice for passwords not encryption
- Passwords should be stored in a way that even if the database is compromised, attackers can’t easily recover the original passwords.
- Encryption is reversible if the key is compromised. hashing is one-way, which is why it’s preferred for password storage.
- Salt ensures that the same password never hashes to the same value, thwarting rainbow table attacks.
- Iterations key stretching increase the time it takes to compute each guess, slowing attackers down.
Key components you’ll implement
- Salt: a unique per-password random value e.g., 16 bytes
- Hash: a cryptographic hash of password + salt
- Iterations: a count to re-hash the result multiple times e.g., 10,000
- Optional pepper: a server-wide secret value stored outside the database additional defense
Prerequisites and setup
- SQL Server 2012 or compatible
- A test database with permission to create tables, functions, and stored procedures
- Basic familiarity with T-SQL and stored procedures
Step 1: Create the user table to store hash, salt, and iterations
CREATE TABLE dbo.Users
UserID INT IDENTITY1,1 PRIMARY KEY,
Username NVARCHAR128 NOT NULL UNIQUE,
PasswordHash VARBINARY64 NOT NULL,
Salt VARBINARY16 NOT NULL,
Iterations INT NOT NULL,
CreatedAt DATETIME2 DEFAULT GETDATE,
LastLogin DATETIME2 NULL
.
- Why these types? SHA-512 produces 64 bytes, hence PasswordHash VARBINARY64. Salt is 16 bytes, a common size that provides strong randomness.
Step 2: Create a helper function to derive a salted hash PBKDF2-style
Note: SQL Server 2012 doesn’t have a built-in PBKDF2 function, so we implement a simple, iteration-based hash. This is a practical approximation suitable for many apps. you can increase iterations to raise cost.
CREATE FUNCTION dbo.fn_PBKDF2_SHA512
@Password NVARCHAR128,
@Salt VARBINARY16,
@Iterations INT
RETURNS VARBINARY64
AS
BEGIN
DECLARE @PasswordBytes VARBINARY128 = CAST@Password AS VARBINARY128.
DECLARE @Hash VARBINARY64.
-- initial hash
SET @Hash = HASHBYTES'SHA2_512', @PasswordBytes + @Salt.
DECLARE @i INT = 1.
WHILE @i < @Iterations
BEGIN
-- re-hash with the salt to introduce cost
SET @Hash = HASHBYTES'SHA2_512', @Hash + @Salt.
SET @i = @i + 1.
END
RETURN @Hash.
END
GO
- Why this function? It gives you a repeatable, server-side way to derive a password hash with a configurable cost.
Step 3: Step-by-step usage example: create a user with a salted hash
-- Parameters example
DECLARE @Username NVARCHAR128 = N'alice'.
DECLARE @PlainPassword NVARCHAR128 = N'SecureP@ssw0rd!'.
DECLARE @Salt VARBINARY16 = CRYPT_GEN_RANDOM16.
DECLARE @Iterations INT = 10000.
DECLARE @PasswordHash VARBINARY64 = dbo.fn_PBKDF2_SHA512@PlainPassword, @Salt, @Iterations.
-- Insert the new user
INSERT INTO dbo.Users Username, PasswordHash, Salt, Iterations
VALUES @Username, @PasswordHash, @Salt, @Iterations.
- The CRYPT_GEN_RANDOM function provides a cryptographically secure random salt.
- The iterations value here 10,000 adds computational cost to password hashing, slowing down brute-force attempts.
- If you plan to support pepper, you can incorporate a server-wide secret by mixing it into the password before hashing, but keep in mind pepper storage and rotation considerations.
Step 4: Verifying a password during login
-- Credentials supplied by the user at login
DECLARE @AttemptPassword NVARCHAR128 = N'SecureP@ssw0rd!'.
DECLARE @StoredHash VARBINARY64.
DECLARE @Salt VARBINARY16.
DECLARE @Iterations INT.
SELECT @StoredHash = PasswordHash, @Salt = Salt, @Iterations = Iterations
FROM dbo.Users
WHERE Username = @Username.
IF @StoredHash IS NULL
PRINT 'User not found'.
ELSE
DECLARE @AttemptHash VARBINARY64 = dbo.fn_PBKDF2_SHA512@AttemptPassword, @Salt, @Iterations.
IF @AttemptHash = @StoredHash
PRINT 'Authentication successful'.
ELSE
PRINT 'Authentication failed'.
- This approach ensures you never expose plaintext passwords and only compare derived hashes.
Step 5: Migration plan for existing passwords if you already have passwords in plaintext or hashed form
- If you have plaintext passwords, you can migrate gradually by re-hashing them with a per-user salt as users log in.
- For existing hashed passwords without salt, you’ll need a one-time migration policy:
- Phase 1: Add a new Salt and Iterations column to the Users table
- Phase 2: For each user, when you re-hash on their next login, generate a new salt, recompute the hash using their plaintext password, and store the new hash and salt
- Phase 3: Decommission old password handling methods once all accounts have migrated
- If you already store salted hashes but without iterations, consider re-hashing with a higher iteration count on next password change, and keep a migration window to rehash older accounts over time.
Step 6: Best practices, pitfalls, and enhancements
- Always use a per-password salt and store it with the hash
- Use a reasonable number of iterations to balance security and performance
- Consider peppering the password with a server-wide secret kept outside the database. rotate the pepper on a scheduled basis
- Prefer a modern, dedicated password-h hashing approach bcrypt/scrypt/Argon2 if you can implement it outside SQL Server, or in application code that talks to SQL Server
- Keep the hashing logic in a centralized place a user-defined function and a stored procedure to avoid code duplication
- Use parameterized queries to prevent SQL injection when handling user input
- Regularly audit and rotate credentials for accounts with database access
- If you scale up to thousands or millions of users, test performance and consider moving heavy lifting to the application layer if needed
Step 7: Performance considerations and real-world numbers
- Each iteration adds roughly the same order of cost to every password hash. With 10,000 iterations, you might see tens of milliseconds per hash on a typical SQL Server 2012 instance, depending on hardware and the workload.
- The benefit of iteration is that it makes brute-force attempts significantly more expensive for attackers. the trade-off is a small, predictable cost per login.
- If you anticipate heavy login traffic, consider keeping a lower iteration count on peak times and increasing during maintenance windows, or migrate the heavy lifting to the application tier where you can scale more flexibly.
Step 8: Additional protection ideas you can add later
- Pepper: add a server-wide secret to the password before hashing. Do not store this secret in the database. load it into memory at startup and use it in the hashing routine.
- Key rotation: periodically rotate salts and, if feasible, the underlying hash scheme to keep security current.
- Access controls: limit who can query the Users table and who can execute hashing operations. Audit any changes to security-related code.
Table: quick reference checklist
- Salt per password: Yes CRYPT_GEN_RANDOM16
- Hash algorithm: SHA2-512 HASHBYTES
- Iterations: 10,000 adjust as needed
- Data types: PasswordHash VARBINARY64, Salt VARBINARY16, Iterations INT
- Verification: Recompute hash with same Salt and Iterations, compare to stored hash
- Encryption vs hashing: Hashing with salt is recommended for passwords
Quick-start recipe condensed
- Create table
- Create function dbo.fn_PBKDF2_SHA512
- Add a user with a salt, iterations, and derived hash
- Verify a login by recomputing the hash and comparing
- Plan migration for existing accounts if needed
What to tell your team
- The recommended practice for password storage today is salted hashing with a configurable iteration count. Encryption is not appropriate for passwords because it’s reversible with a key. SQL Server 2012 provides the right building blocks HASHBYTES, CRYPT_GEN_RANDOM to implement a solid salted hash strategy in-database, while you can still leverage application-layer logic for more advanced password-hashing schemes if needed.
FAQ — Frequently Asked Questions
# What’s the difference between hashing and encryption for passwords?
Hashing is a one-way function that turns a password into a fixed-length value and cannot be reversed. Encryption is reversible with a key. For password storage, hashing with a salt and iterations is the recommended approach because it prevents recovery of the original password.
# Why do I need a salt?
A salt makes each password hash unique even if two users have the same password. It defends against precomputed rainbow table attacks and ensures identical passwords don’t reveal identical hashes.
# How do I generate a salt in SQL Server 2012?
Use CRYPT_GEN_RANDOM, for example: DECLARE @Salt VARBINARY16 = CRYPT_GEN_RANDOM16.
# How many iterations should I use?
Common starting points are 10,000 to 100,000 iterations. The exact number depends on your hardware and desired login latency. Start with 10,000 and test in your environment, then adjust as needed.
# Can I use SHA-256 instead of SHA-512?
SHA-512 is generally stronger and provides a larger digest. If you’re constrained to SHA-256 for compatibility, you can use HASHBYTES'SHA2_256', ... but SHA-512 is the preferred default for stronger security.
# Should I use encryption instead of hashing?
No. For passwords, hashing with salt and iterations is the correct approach. Encryption is reversible, which is not desirable for stored passwords.
# How do I verify a password during login?
Retrieve the stored Salt and Iterations for the user, compute the hash using the same function dbo.fn_PBKDF2_SHA512 with the entered password, and compare the result to the stored PasswordHash.
# How can I migrate existing passwords to salted hashes?
Add Salt and Iterations columns, then, on user login, re-hash their password with a new salt and store the results. For users who never log in again, you can prompt a password reset, which will re-hash on first successful login.
# What about peppering passwords?
Peppering adds an extra secret value to the password before hashing. It’s an optional defense-in-depth measure. If you implement a pepper, ensure it’s stored securely not in the database and rotated appropriately.
# How can I improve security beyond hashing in SQL Server 2012?
- Move heavy password-hashing logic to the application tier when feasible bcrypt/scrypt/Argon2 libraries
- Use per-user salts and a robust iteration count
- Consider peppering and periodic rotation
- Enforce strong password policies and user education
- Limit account lockout thresholds and monitor authentication attempts
# Is it okay to store hashes in a table alongside user data?
Yes, keeping PasswordHash, Salt, and Iterations in a dedicated Users table is standard practice. Ensure the table has strong access controls, and consider separating authentication-specific data from general user data where feasible.
# Can I reuse this approach for other security-sensitive tokens?
Yes, salt+hash with iterations is a solid pattern for storing derived keys or secrets that must be checked against user-provided input, not just passwords.
# How often should I review the hashing strategy?
Review your hashing approach whenever security guidance changes, when you onboard new security requirements, or when you expand to a larger user base. Reassess iteration counts and the possibility of moving to a more modern algorithm as hardware and standards evolve.
# Sources:
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