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LABS
Glossary

Sealed Data

Data encrypted by a Trusted Execution Environment (TEE) so it can only be decrypted by the same TEE instance or under specific, authorized conditions.
Chainscore © 2026
definition
BLOCKCHAIN DATA INTEGRITY

What is Sealed Data?

Sealed Data refers to information that has been cryptographically committed to a blockchain, creating an immutable and verifiable record of its existence and state at a specific point in time.

In blockchain systems, Sealed Data is the result of a cryptographic process that finalizes a block of transactions or state information. This process, often involving a consensus mechanism like Proof of Work or Proof of Stake, generates a unique cryptographic fingerprint called a hash. The data is considered 'sealed' once this hash is included in the block header and the block is appended to the canonical chain. This seal acts as a tamper-evident lock; any subsequent alteration to the underlying data would invalidate the hash and break the chain's continuity.

The primary technical mechanism for sealing data is the Merkle Tree (or hash tree). Transactions are hashed in pairs, and those hashes are combined and re-hashed repeatedly until a single root hash—the Merkle Root—is produced. This root is stored in the block header. To verify a single piece of sealed data, a node only needs a small cryptographic proof (a Merkle proof) rather than the entire dataset. This design ensures data integrity with exceptional efficiency, a cornerstone of blockchain's trust model.

Sealed Data enables critical blockchain functionalities. It provides non-repudiation, proving a specific datum existed when the block was sealed. It is foundational for light clients and simplified payment verification (SPV), which trust the chain's proof-of-work but verify transactions via Merkle proofs. Furthermore, sealed state roots in smart contract platforms like Ethereum allow external systems to trustlessly verify the state of a contract without running a full node, enabling advanced layer-2 scaling solutions and oracles.

A common misconception is that sealing data encrypts it. Sealing is about integrity, not confidentiality. The sealed data is typically public and readable (as in Bitcoin transactions), but its immutability is guaranteed. For private data, sealing can be combined with encryption, but the two processes are distinct. The seal proves the encrypted data hasn't changed, without revealing its contents.

The concept extends beyond base-layer transactions. Data availability layers and modular blockchain architectures rely on sealing to commit to large batches of data off-chain, with only the commitment (seal) posted on-chain. Projects like Celestia use this to scale data availability. Similarly, verifiable delay functions (VDFs) and timestamping services use cryptographic sealing to prove data existed prior to a certain time, a crucial property for supply chain logs and intellectual property registries.

how-it-works
BLOCKCHAIN DATA INTEGRITY

How Sealed Data Works

An explanation of the cryptographic mechanism that ensures data immutability and verifiable provenance on a blockchain.

Sealed data refers to information that has been cryptographically committed to a blockchain, making it tamper-evident and permanently verifiable. This is achieved by generating a unique cryptographic fingerprint, or hash, of the data and recording that hash within a block on the chain. The original data itself may be stored on-chain or off-chain, but its integrity is now anchored to the immutable ledger. Any subsequent alteration to the original data would produce a completely different hash, immediately revealing the tampering attempt when compared to the sealed record.

The sealing process typically involves a commit-reveal scheme. First, a user commits to the data by publishing its hash in a transaction. Later, they can reveal the original data, allowing anyone to recompute the hash and verify it matches the earlier commitment. This is crucial for applications like voting systems (where votes are sealed before being tallied) or data marketplaces (where a data provider can prove they possessed certain information at a specific time without initially disclosing it). The core property is cryptographic binding: the hash is a deterministic, one-way function of the data.

Technically, sealing leverages the underlying security of the blockchain's consensus mechanism. Once the hash is included in a block and that block receives sufficient confirmations, it becomes economically and computationally infeasible to alter. This creates a timestamped, non-repudiable proof of existence. Common standards for this include storing data hashes in transaction op_return fields on Bitcoin or as events within smart contract storage on Ethereum and other programmable chains. The seal function in many smart contract libraries encapsulates this logic.

A key distinction is between on-chain sealing (where only the hash is stored) and complete on-chain storage. Sealing is far more cost-efficient for large datasets, as the blockchain only stores the small, fixed-size hash. The original data can reside in decentralized storage networks like IPFS or Arweave, with the content identifier (CID) itself being the sealed hash. This pattern, central to data availability layers, allows blockchains to act as a supreme verification layer for data stored elsewhere.

For developers, working with sealed data involves using cryptographic libraries to generate hashes (e.g., SHA-256, Keccak-256) and understanding the merkle tree structures often used to seal multiple data points efficiently. Verifying sealed data is a core function for oracles, auditors, and any system relying on proven data integrity. The concept is foundational to digital notarization, software supply chain security (sealing build artifacts), and proving the state of off-chain databases in a trust-minimized way.

key-features
BLOCKCHAIN PRIMITIVE

Key Features of Sealed Data

Sealed Data is a cryptographic primitive that ensures data integrity and authenticity by binding it to a specific state of a blockchain. It is a foundational component for verifiable computation and data availability.

01

Cryptographic Commitment

Sealed Data is created by generating a cryptographic commitment (e.g., a Merkle root or a KZG polynomial commitment) to a dataset. This commitment is a short, fixed-size fingerprint that uniquely represents the original data. Any change to the underlying data results in a completely different commitment, making tampering detectable. This is the core mechanism enabling data availability proofs and fraud proofs.

02

State Binding

The commitment is irrevocably bound to a specific blockchain state (e.g., a block header). This creates a permanent, timestamped, and publicly verifiable attestation that the data existed at that point in time. This binding is crucial for proof-of-custody schemes and for creating verifiable delay functions (VDFs) that rely on a specific historical state as a seed.

03

Data Availability Guarantee

A key property is the guarantee that the underlying data is available for download. Systems like Ethereum's danksharding use Sealed Data commitments so that light clients can verify, via data availability sampling (DAS), that the full data is published without downloading it entirely. This separates data availability from data retrieval.

04

Enabling Verifiable Computation

By committing to input data and program code, Sealed Data enables verifiable computation. Systems like zk-rollups and optimistic rollups post Sealed Data commitments of their transaction batches on-chain. Provers can then generate validity proofs or fraud proofs relative to that committed state, allowing for secure off-chain execution.

05

Trust-Minimized Bridges

Sealed Data is fundamental for building trust-minimized cross-chain bridges. A light client of Chain A can verify a Sealed Data commitment for a block header of Chain B. This allows it to trustlessly verify events (like token locks) that occurred on Chain B, enabling secure message passing without relying on a centralized multisig.

06

Contrast with Encrypted Data

It is critical to distinguish Sealed Data from encrypted data. Sealing is about integrity and availability—the data may be public, but its state is locked. Encryption is about confidentiality—hiding the data's content. A system can use both: data can be encrypted and then sealed to prove the encrypted version is available.

examples
SEALED DATA

Examples & Use Cases

Sealed data is a cryptographic primitive where data is encrypted and its decryption key is committed to a blockchain, enabling verifiable computation without exposing the underlying information. This section explores its practical implementations.

02

Dark Pool Trading

Facilitates private order matching on decentralized exchanges. Traders submit sealed orders containing price and size. The matching engine can verify that orders meet criteria (e.g., price crosses) using zero-knowledge proofs without revealing the exact values until a match is found and executed. This prevents front-running and market manipulation from visible order books.

03

Confidential DeFi Auctions

Used in mechanisms like sealed-bid auctions for NFT sales or token launches. Bidders submit encrypted bids (sealed data). Once the bidding period closes, the auction contract verifiably reveals the highest bidder and their bid without exposing losing bids. This prevents bid sniping and ensures a fair, strategy-resistant auction outcome.

04

Selective KYC & Compliance

Allows users to prove regulatory compliance (e.g., they are not a sanctioned entity) to a service without revealing their full identity. A trusted attester seals the user's KYC status into a ciphertext. The user can then generate a ZK proof that this sealed data contains a valid attestation, enabling access to services while preserving data minimization principles.

05

Private State Channels

Enables off-chain interactions where the intermediate state is kept private between participants. Parties exchange sealed state updates, which can be fraud-proofed on-chain if needed. The final settlement state is revealed to conclude the channel. This is crucial for scalable, confidential micropayments and game state channels.

06

Encrypted Mempools

Protects transaction privacy in the mempool by having users submit transactions as sealed data to validators. Validators can include the ciphertext in a block without knowing its contents. A decryption key is then published, allowing the network to verify the transaction's validity post-confirmation. This mitigates MEV extraction through front-running and sandwich attacks.

technical-details
DATA PRIVACY

Technical Details: Sealing & Unsealing

A technical examination of cryptographic data sealing, a core mechanism for enabling confidential computation on public blockchains.

Sealed data refers to encrypted information that is cryptographically bound to a specific set of conditions, such as a future block height or a successful zero-knowledge proof, before it can be accessed. This process, known as sealing, transforms plaintext data into an opaque ciphertext, rendering it unreadable on-chain while guaranteeing its integrity and authenticity for future unsealing. The sealed state persists on the public ledger, but the content remains confidential until the pre-defined cryptographic conditions are met.

The sealing process typically employs symmetric encryption (e.g., AES-GCM) or hybrid encryption schemes. A common method involves generating a random symmetric key to encrypt the data, then encrypting that key itself with the public key of a designated oracle or threshold network (like the DECO protocol or a Trusted Execution Environment (TEE)). This encrypted key, along with the data ciphertext and the unsealing conditions, is posted to the blockchain. The original data and the symmetric key are then securely deleted, leaving only the sealed package.

Unsealing is the authorized decryption of sealed data, which occurs only when the pre-committed conditions are verifiably satisfied. This is not a simple key release; it often requires an attestation from a secure component. For instance, a TEE must produce a valid attestation proving it correctly executed the agreed-upon computation. Alternatively, in a timelock encryption scheme, unsealing becomes possible only after a specific future time has passed, as determined by a sequential computational puzzle. The entity that performs the unsealing provides a cryptographic proof that the conditions were met, which can be verified by anyone.

This technology is fundamental to applications requiring conditional transparency. Use cases include sealed-bid auctions, where bids are hidden until the auction closes; confidential voting; and privacy-preserving data bridges, where sensitive information must be provably transmitted between chains. It enables commit-reveal schemes without the risk of front-running, as the commitment is a sealed value that cannot be peeked into before the reveal phase.

ecosystem-usage
SEALED DATA

Ecosystem Usage

Sealed data is a cryptographic commitment to a state or data set, enabling verifiable computation and privacy. Its primary use cases involve creating trustless bridges between different systems.

01

Zero-Knowledge Proof Inputs

Sealed data is a core component in zero-knowledge (ZK) applications. A prover can commit to a private data set by publishing its cryptographic hash (seal). They then generate a ZK proof demonstrating that a computation on that hidden data produced a valid public result, without revealing the inputs. This enables private transactions and verifiable off-chain computation.

  • Example: A zkRollup's sequencer seals the pre-state of its rollup chain, processes transactions, and publishes a ZK validity proof alongside the new state's seal.
02

Cross-Chain State Verification

Seals act as lightweight, verifiable anchors for cross-chain communication. A source chain (e.g., Ethereum) can produce a seal representing its latest state. A destination chain (e.g., a sidechain) can trustlessly verify this seal against a known consensus mechanism or light client to confirm the state's validity before executing a dependent action, like minting a bridged asset.

  • Key Protocol: This pattern is fundamental to optimistic rollup bridges, where the L1 holds the sealed state root of the L2.
03

Data Availability Commitments

In modular blockchain architectures like Ethereum's danksharding, sealed data refers to blob commitments. Here, the consensus layer (Beacon Chain) does not store full transaction data but instead seals it by posting a KZG commitment. This commitment cryptographically binds the data, allowing anyone to verify its availability and correctness via data availability sampling (DAS), separating execution from data availability guarantees.

04

Trust-Minimized Oracles

Oracle networks use sealed data to provide verifiable external information. A committee of oracles reaches consensus on a data point (e.g., an asset price) and publishes a multi-signature or threshold signature that acts as a seal. Smart contracts can verify this cryptographic seal to trust the data's authenticity without relying on a single centralized source, enabling decentralized finance (DeFi) price feeds and insurance triggers.

05

Commit-Reveal Schemes

Sealed data enables commit-reveal protocols for applications requiring secrecy with later verification. A user first publishes a seal (hash) of their hidden data. Later, they reveal the original data. Anyone can hash the revealed data and verify it matches the initial seal. This prevents front-running in auctions or voting by hiding bids or votes until a reveal phase, ensuring fairness and privacy.

security-considerations
SEALED DATA

Security Considerations & Limitations

While sealing data on-chain provides cryptographic guarantees, it introduces specific security models and operational constraints that developers must understand.

01

The Trust Assumption in Sealing

Sealing data relies on a trusted execution environment (TEE) or a secure enclave (like Intel SGX). The security of the sealed data is only as strong as the hardware's integrity. If the underlying hardware is compromised via side-channel attacks or physical tampering, the confidentiality and integrity guarantees of the sealed state can be broken. This shifts trust from the blockchain's decentralized consensus to the hardware manufacturer and the enclave's implementation.

02

Key Management & Attestation

The sealing key, which encrypts data for a specific enclave, must be managed securely. Remote attestation is critical to verify that the correct, uncompromised code is running inside the genuine enclave before sharing sensitive data or keys with it. A failure in the attestation process or a leak of the sealing key can lead to permanent data exposure. The process adds complexity and requires robust off-chain infrastructure.

03

Data Availability & Recovery

Sealed data is stored off-chain, creating a data availability problem. If the operator hosting the sealed state goes offline, the data becomes inaccessible, potentially freezing associated smart contracts. There is no built-in mechanism for decentralized recovery of sealed private keys or state. Solutions often involve key sharding across multiple operators, which introduces its own coordination and trust challenges.

04

Throughput & Cost Limitations

The process of entering and exiting the secure enclave for computation (context switching) is computationally expensive. This creates a bottleneck, limiting transaction throughput and increasing latency compared to purely public computation. Additionally, the cost of operating and attesting TEEs adds significant overhead, making sealed computation less suitable for high-frequency, low-value transactions.

05

Verifiability vs. Zero-Knowledge Proofs

Sealing provides confidentiality but limited verifiability. Observers must trust the attestation that the correct code is running. In contrast, Zero-Knowledge Proofs (ZKPs) provide cryptographic proof of correct execution without revealing inputs, offering verifiability by anyone. Sealing is often chosen for complex computations where ZKPs are currently impractical, accepting a different trust model.

06

Attack Surface & Supply Chain Risk

The attack surface extends beyond smart contract code to include the TEE hardware, its microcode, the host operating system, and the sealing software SDK. Supply chain attacks targeting the hardware manufacturer or compiler can undermine the entire system. Regular security patches and updates are required, which can be difficult to coordinate in a decentralized network and may require enclave downtime.

TECHNICAL OVERVIEW

Comparison: Sealed Data vs. Other Privacy Methods

A technical comparison of cryptographic privacy methods based on core architectural properties and trade-offs.

Feature / PropertySealed Data (e.g., FHE)Zero-Knowledge Proofs (ZKPs)Secure Multi-Party Computation (MPC)

Data Processing State

Encrypted (Ciphertext)

Private Inputs, Public Proof

Distributed Secret Shares

Computation Type

Arbitrary on encrypted data

Verification of a statement

Joint computation on private inputs

Primary Output

Encrypted result

Validity proof

Cleartext computation result

On-Chain Data Leakage

None (only ciphertexts)

Proof reveals no inputs

None (only final result)

Computational Overhead

Very High

High (Prover), Low (Verifier)

High (Network rounds)

Trust Model

Cryptographic (trustless)

Cryptographic (trustless)

Honest majority / threshold

Typical Latency

Seconds to minutes

Seconds to minutes (proving)

Network-dependent (high)

Use Case Example

Private smart contract state

Private transaction verification

Private auctions or key generation

SEALED DATA

Frequently Asked Questions (FAQ)

Common questions about the cryptographic technique of sealing data, which ensures data integrity and confidentiality for on-chain and off-chain computations.

Sealed data is a cryptographic technique where data is encrypted with a secret key and a commitment (like a hash) is published on-chain, allowing anyone to verify that a computation was performed correctly on the original, hidden data without revealing it. It works by having a prover encrypt the input data, generate a cryptographic commitment, and then perform a computation. The prover subsequently creates a zero-knowledge proof or validity proof that demonstrates the computation's correctness relative to the committed input and the public output. This enables verifiable off-chain computation where the data remains confidential, a core component of privacy-preserving applications and certain Layer 2 scaling solutions.

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