Hash is not encryption. The most direct evidence is that encryption has a decryption key, while hash by design has no "decryption" operation. The transaction hash you see on a blockchain explorer is a fixed-length data fingerprint. Its purpose is to let you verify whether certain data has been changed, not to let you restore the original transaction content from the fingerprint. On-chain data can be "verified" because of the determinism of hashing — the same input always produces the same output. It cannot be "restored" because hashing is a many-to-one mapping. Countless different inputs may produce the same output, so reverse derivation has no unique mathematical solution and is computationally infeasible.

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Verification and Restoration Are Two Different Things
The most common use of hashing in blockchain is verifying integrity. The sender calculates a hash value for a piece of data, and the receiver calculates it again after receiving the data. If the two hash values match, it means the data was not altered during transmission. Blockchain takes this logic to the extreme: each block header stores the hash value of the previous block. Any modification to a historical block would cause a chain reaction in all subsequent hash values. So you only need to remember the latest hash value to determine whether the entire chain has been tampered with.
In this process, the hash value plays the role of a "fingerprint." A fingerprint can confirm whether a person is the same person, but you cannot reverse-engineer that person's appearance, name, or address from a fingerprint. A hash value can tell you "whether this data is the same data you saw before," but it cannot tell you "what is written in this data." Verification is comparing whether two hash values are equal. Restoration is trying to recover the original input from a hash value. The latter is deliberately excluded by the design of hash functions.
Why Reverse Derivation Does Not Work
Hash functions compress inputs of arbitrary length into outputs of fixed length. Taking SHA-256 as an example, the output is always 256 bits. But the input can be a string of any length — theoretically infinite. According to the pigeonhole principle, when infinite inputs map to a finite output space, multiple different inputs must produce the same hash value. This is the source of "collisions."
This means that even if you find an input that produces a certain hash value, you cannot be sure it is the "original" input, because there may be countless other inputs that produce the same hash value. One of the design goals of hash functions is to make finding a preimage computationally infeasible: given a hash value, there is no known mathematical shortcut faster than brute-force enumeration to find an input that produces that hash value. For modern hash functions like SHA-256, the brute-force search space is so large that it is practically impossible to operate. A 6-character alphanumeric combination already has about 56.8 billion possibilities. Each additional character expands the search space by dozens of times. Real transaction data is far more complex than 6 characters.
An article from the Alibaba Cloud Developer Community puts this clearly: hashing is a "many-to-one mapping," while encryption is a "one-to-one mapping." Encryption algorithms have decryption keys, and ciphertext can be uniquely restored to plaintext. Hashing has no corresponding inverse mapping because multiple inputs share the same output, so there is no "unique correct restoration result."
A Confusing Exception: Password Cracking Is Not "Restoring a Hash"
You may see news like "the hash of a certain password has been cracked." This can easily mislead people into thinking that hashes can be reversed. What actually happens is guessing plus comparison: the attacker takes a candidate password (like "password123") and calculates its hash to see if the result matches the stolen hash value. If it matches, they have "guessed" the original password. The entire process does not reverse the hash function. It simply enumerates possible inputs. This method works for short passwords or common passwords, but quickly becomes infeasible for randomly generated complex data or long inputs.
The "one-way" property of hashing is exactly an advantage in password storage scenarios: the server only stores the hash value of the password. Even if the database is leaked, the attacker cannot get the plaintext password and can only rely on guessing. This is consistent with the logic of transaction data on the blockchain — you make the hash value public for verification, but you do not expose a reversible channel to the original data.
On-Chain Data Is Public, So Why Still "Cannot Be Restored"
On-chain data itself is actually public. Transaction content, addresses, and amounts are all stored in plaintext within blocks, and anyone running a node can see them. The role of hashing in blockchain is not to hide data, but to provide a concise commitment mechanism: the root hash value in the block header represents the collection of an entire batch of transactions. You only need to remember this value to verify whether a certain transaction belongs to this block when needed.
So the question of "restoring from a hash" itself contains an implicit misunderstanding: on-chain data does not need to be restored from a hash in the first place. Hashing solves the problem of "how to use a very short value to represent a large batch of data, and make tampering detectable." It makes verification cheap and makes restoration irrelevant — because the original data is already on the chain. You do not need to reverse-engineer from the hash. You just need to take the original data, calculate its hash, and see if the result matches.
The scenario where you really need to worry about "hash irreversibility" is when you hash a piece of data and then discard the original data, keeping only the hash value. At that point, you truly cannot recover the original data. This is not a blockchain problem, but an inherent property of hash functions. Hashing is used to verify "whether something is the same thing," not to store "what that thing is."

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References
- Alibaba Cloud Developer Community · Basic Principles, Differences, and Engineering Applications of Hash and Encryption, 2026-11-01
- Science China · Image-Text Details — Hash Algorithm, Also Known as Message Digest or One-Way Transformation, 2026-11-01
- Alibaba Cloud Developer Community · Peking University Professor Xiao Zhen's "Blockchain Technology and Applications" Open Course Notes 3 — Data Structures in Bitcoin, 2026-11-01
- Stack Overflow · Revision 3d882776-6a77-46ec-87c5-6553a28f8f20, 2026-11-01
- Stack Overflow · Revision a0981429-e9fb-46dc-b622-5f3b1ae6c218, 2026-11-01
- Stack Overflow · Revision 5 of 5, 2026-11-01
- Stack Overflow · Can we reverse second sha256 hash?, 2026-11-01
- Science China · Digital Fingerprints in Cryptography: How Hash Functions Enable Password Verification Without Plaintext, 2026-11-01


