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Security5 min read

MD5 vs SHA-256: Which Hash Should You Use?

Compare MD5, SHA-1, SHA-256, and SHA-512 for checksums, integrity checks, and security-sensitive hashing.

Use the related XKit tool

Open Hash Generator

Hash functions turn input data into fixed-length fingerprints. Developers use them for checksums, cache keys, file integrity checks, deduplication, and security-sensitive workflows.

When MD5 is acceptable

MD5 is fast and widely supported, but it is not collision-resistant. That means attackers can create different inputs with the same MD5 hash. Do not use MD5 for signatures, certificates, password storage, or any trust decision.

MD5 can still be useful for non-security checks such as quick file fingerprints, duplicate detection, or legacy compatibility when collision resistance does not matter.

Why SHA-256 is the safer default

SHA-256 belongs to the SHA-2 family and is the practical default for integrity checks and many security workflows. It is slower than MD5 but much stronger against known collision attacks.

SHA-512 can be useful when a larger digest is preferred or when performance is favorable on 64-bit platforms.

  • Use SHA-256 for general-purpose integrity checks.
  • Use SHA-512 when a longer digest is required.
  • Avoid MD5 and SHA-1 for security-sensitive decisions.
  • Use password-specific algorithms for passwords.

A note about passwords

General hash functions are not enough for password storage. Password systems should use slow, salted password-hashing algorithms such as Argon2, bcrypt, scrypt, or PBKDF2.

A hash generator is useful for checksums and debugging, but production password storage needs dedicated server-side controls.

Frequently Asked Questions

Is MD5 secure?

No. MD5 has known collision weaknesses and should not be used for security-sensitive applications.

Is SHA-256 good for passwords?

Not by itself. Use a password-hashing algorithm such as Argon2, bcrypt, scrypt, or PBKDF2 with a unique salt.

What is a checksum?

A checksum is a calculated value used to detect accidental changes in data, such as a corrupted download or modified file.