Hash Text
Quickly generate multiple hash values for text, supporting mainstream hash algorithms including MD5, SHA series, SHA3, and RIPEMD160. Completely browser-based calculation, secure and reliable, suitable for data verification, cryptographic applications, development debugging, and other scenarios.
Supported Hash Algorithms
MD5
- Length: 128 bits (32 hexadecimal characters)
- Features: Fast computation, widely used
- Use Cases: File integrity verification, non-cryptographic unique identifiers
- Security: Proven collision vulnerabilities exist; not recommended for security-sensitive scenarios
SHA-1
- Length: 160 bits (40 hexadecimal characters)
- Features: More secure than MD5 but still has known vulnerabilities
- Use Cases: Git version control, legacy system compatibility
- Security: Proven insecure, gradually being phased out
SHA-256
- Length: 256 bits (64 hexadecimal characters)
- Features: SHA-2 series, currently widely used secure hash algorithm
- Use Cases: Digital signatures, blockchain, password storage
- Security: Currently no known practical attack methods, recommended
SHA-224
- Length: 224 bits (56 hexadecimal characters)
- Features: Truncated version of SHA-256
- Use Cases: Scenarios requiring medium-length hashes
- Security: Comparable to SHA-256
SHA-512
- Length: 512 bits (128 hexadecimal characters)
- Features: Longest version in SHA-2 series, provides higher security margin
- Use Cases: High-security scenarios, large data integrity verification
- Security: Very secure, suitable for long-term use
SHA-384
- Length: 384 bits (96 hexadecimal characters)
- Features: Truncated version of SHA-512
- Use Cases: Scenarios balancing security and performance
- Security: Comparable to SHA-512
SHA3
- Length: 512 bits (128 hexadecimal characters)
- Features: Based on Keccak algorithm, SHA-3 standard
- Use Cases: Latest secure hash standard, future trend
- Security: Different design principles from SHA-2, provides additional security guarantees
RIPEMD-160
- Length: 160 bits (40 hexadecimal characters)
- Features: Hash algorithm developed in Europe
- Use Cases: Bitcoin address generation, SHA-1 alternative
- Security: Currently no known serious vulnerabilities
Use Cases
Data Integrity Verification
- Verify downloaded files are complete and undamaged
- Check if data was tampered with during transmission
- Confirm backup files match original files
- Verify authenticity of software installation packages
Cryptographic Applications
- Generate password hash storage
- Implement Message Authentication Code (HMAC)
- Message digest for digital signatures
- Data fingerprints in blockchain
Development Debugging
- Generate unique identifiers
- Cache key generation
- API signature calculation
- Test hash function implementations
Deduplication Detection
- Quickly determine if content is duplicate through hash values
- Build unique content indexes
- Implement data consistency checks in distributed systems
How to Use
- Enter content needing hash calculation in text box
- Tool automatically calculates all supported hash values in real-time
- View various hash values in results panel
- Click any hash value to copy to clipboard
Security Recommendations
Recommended Use
- SHA-256: First choice for general security scenarios
- SHA-512: High-security requirement scenarios
- SHA3: Future-oriented applications
Use with Caution
- MD5: Only for non-security scenarios (like file verification, unique identifiers)
- SHA-1: Only for legacy system compatibility
Not Recommended for Security Scenarios
MD5 and SHA-1 have proven collision vulnerabilities allowing attackers to construct different content with identical hash values. In security-sensitive scenarios like password storage and digital signatures, must use SHA-256 or stronger algorithms.
Important Notes
- Hashing is one-way function; cannot restore original content from hash value
- Same input necessarily produces same hash value
- Minor input differences cause completely different hash values (avalanche effect)
- Hash values are fixed length regardless of input length
Related Knowledge
Hash Collisions
Theoretically, due to finite hash value length and infinite input space, different inputs necessarily exist that produce same hash (collision). Secure hash algorithms should ensure finding collisions is computationally infeasible.
Rainbow Table Attacks
Pre-computing hash values of many common passwords to build lookup tables for quickly cracking weak passwords. Defense methods include using salted hashing or dedicated password hash functions (like bcrypt, Argon2).
Tool Comparison
Compared to online hash services, this tool runs completely offline protecting privacy. Compared to command-line tools (like md5sum, sha256sum), this tool provides visual interface simultaneously showing multiple algorithm results, more convenient.
