Multi-Hash Generator
Compute MD5, SHA-1, SHA-256, SHA-384, and SHA-512 hashes for text or files — all at once, all in your browser. Handles multi-gigabyte files via chunked Web Crypto.
How to Use
- Type or paste text into the input area, or drop a file.
- All five hashes (MD5, SHA-1, SHA-256, SHA-384, SHA-512) compute simultaneously.
- For text, hashing is instant. For files, hashes are computed in chunks (handles multi-GB files without freezing your browser).
- Click any hash output field to select and copy the value.
- Use SHA-256 or stronger for any security-sensitive comparison.
- Use MD5 or SHA-1 only for non-security checksums (integrity vs. accidental corruption).
Algorithms
A Brief History of Cryptographic Hashing
Cryptographic hash functions emerged in the late 1970s and 1980s as building blocks for digital signatures, message authentication codes, and content integrity checks. Ron Rivest published MD2 in 1989 and MD5 in 1992; the latter became the dominant hash function of the 1990s. NIST standardized SHA-1 in 1995 (after retracting an earlier "SHA-0" with subtle weaknesses), and SHA-256/384/512 — the SHA-2 family — followed in 2001.
Cryptographic attacks have steadily eroded the older designs. Wang and Yu published practical MD5 collisions in 2004; by 2008 a fake intermediate certificate authority was forged using MD5 collisions. SHA-1 fell to Google's SHAttered attack in 2017, demonstrating two distinct PDFs with the same SHA-1 hash. SHA-2 has held up over 20+ years of analysis and remains the workhorse of modern systems. SHA-3 (the Keccak algorithm, standardized 2015) provides a structurally different alternative as insurance against any future attacks on SHA-2.
The Web Crypto API (W3C, 2017) brought efficient native hashing to browsers. Before then, JavaScript hashing was either slow pure-JS or required server uploads. This tool relies on Web Crypto for SHA family hashes (browser-native, fast); MD5 and SHA-1 are computed via small JavaScript implementations because the spec deliberately omits the broken algorithms.
About This Tool
This generator computes all five hashes in parallel using Web Crypto where available (SHA family) and small JS implementations for the legacy hashes (MD5, SHA-1). For files, the input is read in chunks via FileReader so memory usage stays bounded even on multi-gigabyte inputs. Text input is hashed instantly on every keystroke.
Everything runs entirely in your browser — text and files are never transmitted, logged, or stored. You can safely hash sensitive content (license keys, configuration files, password resets) without exposure. For password storage specifically, do not use these hashes; use a proper password-hashing library on your server.
Frequently Asked Questions
Which hash should I use?
SHA-256 for almost any new use — file integrity, digital signatures, content addressing. SHA-512 for the same use cases where you want extra collision resistance. SHA-1 and MD5 are cryptographically broken (collisions can be constructed) — use them only when an external system requires them or when you only care about catching accidental corruption (not deliberate tampering).
Are these safe for password storage?
No. Plain hashes are too fast — an attacker with a stolen database can try billions of guesses per second on commodity GPUs. For passwords use a slow, salted, key-derivation function: <strong>Argon2id</strong> (newest, recommended), <strong>bcrypt</strong> (still solid), or <strong>scrypt</strong>. They're intentionally orders of magnitude slower per guess.
What's the difference between MD5 and SHA-256 in practice?
Output length: 128 bits (32 hex) for MD5 vs. 256 bits (64 hex) for SHA-256. MD5 is faster on single threads but the speed difference rarely matters. The real difference: MD5 has documented collision attacks (two different inputs producing the same hash) since 2004; SHA-256 has none. Anywhere a malicious party could choose the input, MD5 is unsafe.
Why are MD5 hashes still everywhere?
Inertia. Linux package distributions, ROM dumps, software downloads, and ETags often still ship MD5 checksums. They're fine for what they're used for — verifying that a download wasn't accidentally corrupted in transit — because there's no attacker manufacturing collisions for your particular file. They're not fine for signing or authentication.
What's a hash collision?
Two different inputs that produce the same hash. The pigeonhole principle guarantees collisions exist for any fixed-output hash; the question is how hard they are to find. SHA-256 collisions are computationally infeasible (~2<sup>128</sup> work). MD5 collisions can be generated in seconds on a laptop using published tools. SHA-1 is also broken (Google's 2017 SHAttered attack).
How does file hashing work in the browser?
This tool uses the Web Crypto API (crypto.subtle.digest), implemented natively by every major browser. For large files we read in chunks via FileReader and incrementally update the hash, so you can hash multi-gigabyte files without exceeding browser memory. Everything happens locally — files are never uploaded.
Common Use Cases
Verifying a downloaded file
Hash a downloaded ISO, installer, or archive and compare against the publisher's published checksum to confirm integrity.
Building a content-addressable cache
Use SHA-256 of file contents as the cache key — identical content always produces the same key regardless of filename.
Git-style fingerprints
Generate stable identifiers for blobs of text, JSON, or images for use in version-control, deduplication, or audit systems.
API signature checks
Compute HMAC-style signatures for webhook verification (combine with secret key in your code; this tool only does plain hashes).
Detecting duplicate files
Hash every file in a directory tree and group by hash — duplicates fall out immediately.
Quick comparison of long strings
When you need to know whether two long strings are identical without comparing character by character — same hash means same content (with overwhelming probability).
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