Hash Functions: How Do Hash Functions Generate Hash Values? A Must-Know for Beginners

I. What is a Hash Function?

Imagine you have an important document, like an exam answer sheet, and you want to verify if it has been secretly modified by someone. If you treat the document’s content as a string (e.g., “abc123”), a hash function acts like an “ID number” for this string—regardless of how large the document is, this “ID number” always has a fixed length (e.g., 128 bits or 32 hexadecimal characters). We call this “ID number” the hash value.

In simple terms: A hash function is a “translator” that converts input data of any length (e.g., files, text, passwords) into a fixed-length, seemingly “nonsensical” hash value.

II. Core Characteristics of Hash Functions

Although hash functions seem simple, they have several key properties that beginners must remember:

  1. Fixed Length: No matter how long the input data is, the output hash value has a consistent length. For example, the MD5 algorithm produces a 128-bit hash (32 hexadecimal characters), while SHA-256 produces 64 hexadecimal characters.
  2. Unidirectional (Irreversible): You can derive the hash value from the input data, but you cannot reverse-engineer the original input from the hash value. For instance, if you pass the password “123456” to a hash function and get the hash value “Hx8a7f…”, others cannot guess the original password from “Hx8a7f…”.
  3. Uniqueness (Approximate): Different input data will almost always produce different hash values. However, collisions can occur—in extremely rare cases, two distinct inputs might generate the same hash value (e.g., if a hash function is poorly designed, “abc” and “abd” might produce the same hash). Nevertheless, mainstream hash functions (e.g., MD5, SHA-256) have negligible collision probabilities.
  4. Avalanche Effect: Even a tiny change in the input data (e.g., changing “123” to “124”) will cause a drastic change in the output hash value, with little to no correlation between the original and modified hash values. It’s like changing one character completely “overturns” the “ID number”.

III. How Are Hash Values Generated?

Don’t be intimidated by “generating”—the principle of hash functions can be analogized to “processing ingredients”:

  1. Step 1: Input Preprocessing
    Convert input data (e.g., text, files) into binary numbers (combinations of 0s and 1s) that computers can process. If the input is text, it may first be converted to ASCII or Unicode encoding.

  2. Step 2: Chunk Processing
    Split the large binary data into smaller chunks (e.g., 512 bits each) and process each chunk. This “processing” involves a series of mathematical operations (addition, multiplication, modulo, etc.), with different hash functions using different rules (e.g., MD5 uses bitwise shifts and logical operations, while SHA-256 adds more steps).

  3. Step 3: Combine Results
    Concatenate the results of all processed chunks to form a fixed-length string—the hash value.

A Simple Example: Suppose we have an ultra-simplified hash function: “sum the digits of the input number and take the remainder modulo 100”. For input “123”, the sum is 1+2+3=6, and the remainder modulo 100 is 06. For input “124”, the sum is 1+2+4=7, and the remainder is 07. While this example is simple, it clearly illustrates the “tiny input change → hash value change” process.

IV. Common Misconception: Hash Functions vs. Encryption Functions

Many people confuse hash functions with encryption functions, so we must clarify:

  • Hash Functions: Unidirectional and irreversible, only “input → output” is possible, not “output → input”. Used for data verification, password storage, etc. (e.g., when storing passwords, we store the hash value, not the plaintext).
  • Encryption Functions: Reversible (or decryptable) and require a key (e.g., AES encryption uses a key, and the same key is used to decrypt). Used to secure data transmission (e.g., encrypted WeChat chat messages).

Key Difference: Hash functions are “one-way locks”, while encryption is a “two-way lock”. If someone asks, “Can you crack a password using its hash value?”, the answer is: No! Because hash functions have no “key”—they only follow fixed rules, similar to not being able to reverse “1+2=3” to find 1 and 2.

V. Practical Applications of Hash Functions

Hash functions are ubiquitous in daily life; here are familiar scenarios:

  1. File Verification: When downloading software, official websites provide the file’s hash value. After downloading, compute the local file’s hash value and compare it with the official one. If they match, the file is unmodified (e.g., viruses may alter downloaded files, causing hash mismatches).
  2. Password Security: Websites do not store plaintext passwords. Instead, they generate hash values of passwords using a hash function and store those hashes. When you log in, the system computes the hash value of your input password and compares it with the stored hash. If they match, the password is verified.
  3. Fast Data Lookup: In databases, hash values can act as “indices”. For example, to find a user ID, compute the hash value of the ID and quickly locate the corresponding storage location, avoiding full database traversal.
  4. Distributed Systems: In distributed storage (e.g., multiple servers), hash functions (e.g., consistent hashing) distribute data evenly across servers. This minimizes data migration when servers are added or removed.

VI. Summary

Hash functions act as a “fingerprint” for data, marking input data of any length with a fixed-length “ID number”. Their core features are unidirectionality, fixed length, and the avalanche effect, making them crucial in data verification, password security, and data indexing.

If you are new to data structures, remember: You don’t need to understand complex algorithms for hash functions—simply grasping that they “convert arbitrary data into a fixed-length, irreversibly unique ‘fingerprint’” is sufficient to get started.

Final Reminder: While mainstream hash functions (e.g., MD5, SHA-256) have not been shown to have large-scale collisions, their vulnerabilities may be exploited as computing power increases. However, for beginners, mastering the basic principles and applications of hash functions is enough to meet daily needs.

Xiaoye