An off-chain computation service that executes complex operations and returns results with zero-knowledge proofs of correctness verified on-chain. ZK coprocessors extend smart contract capabilities beyond gas limits by outsourcing intensive computation while maintaining trustless verification. Projects like Brevis, RISC Zero Steel, and Lagrange enable dApps to access verified off-chain computation.
Empieza por la explicación más corta y útil antes de profundizar.
An off-chain computation service that executes complex operations and returns results with zero-knowledge proofs of correctness verified on-chain. ZK coprocessors extend smart contract capabilities beyond gas limits by outsourcing intensive computation while maintaining trustless verification. Projects like Brevis, RISC Zero Steel, and Lagrange enable dApps to access verified off-chain computation.
Usa primero la analogía corta para razonar mejor sobre el término cuando aparezca en código, docs o prompts.
Piensa en esto como un bloque de construcción que conecta una definición aislada con el sistema mayor donde vive.
Ubica el término dentro de la capa de Solana en la que vive para razonar mejor sobre él.
Fallos, auditorías, superficies de ataque y patrones seguros.
Convierte el término de vocabulario en algo operacional para producto e ingeniería.
Este término desbloquea conceptos adyacentes rápido, así que funciona mejor cuando lo tratas como un punto de conexión y no como una definición aislada.
Usa este bloque compacto cuando quieras dar contexto sólido a un agente o asistente sin volcar toda la página.
ZK Coprocessor (zk-coprocessor) Categoría: Seguridad Definición: An off-chain computation service that executes complex operations and returns results with zero-knowledge proofs of correctness verified on-chain. ZK coprocessors extend smart contract capabilities beyond gas limits by outsourcing intensive computation while maintaining trustless verification. Projects like Brevis, RISC Zero Steel, and Lagrange enable dApps to access verified off-chain computation. Aliases: ZK Data Coprocessor Relacionados: Zero-Knowledge Proofs (ZKP), ZK-EVM
Usa contexto del glosario, relaciones entre términos, modelos mentales y builder paths para recibir respuestas estructuradas en vez de output genérico.
Opcional: pega código Anchor, Solana o Rust para que el Copilot mapee primitivas de vuelta al glosario.
El Copilot responderá usando el término actual, conceptos relacionados, modelos mentales y el grafo alrededor del glosario.
Estas ramas muestran qué conceptos toca este término directamente y qué existe una capa más allá de ellos.
A zero-knowledge proof is a cryptographic protocol by which a prover convinces a verifier that a statement is true — for example, that a state transition is valid — without revealing any information beyond the truth of the statement itself, satisfying the properties of completeness, soundness, and zero-knowledge. In Solana's ecosystem, ZKPs are used by ZK Compression (via Groth16 SNARKs) to prove correct state transitions for compressed accounts without storing full account state on-chain, and by the Token-2022 Confidential Transfers extension (via ElGamal encryption and range proofs) to prove token balances are non-negative without revealing the actual amounts. Solana's BPF VM exposes the alt_bn128 elliptic curve syscall to make on-chain Groth16 proof verification computationally feasible within the 1.4M compute unit budget.
A zero-knowledge virtual machine that generates cryptographic validity proofs for Ethereum-compatible smart contract execution, enabling ZK rollups that run existing Solidity code. Vitalik Buterin's Type 1-4 classification captures the trade-off between full Ethereum equivalence (Type 1, slower proving) and modified execution (Type 4, faster proving). Major implementations include Polygon zkEVM, zkSync Era, Scroll, and Linea.
Estos son los siguientes conceptos que vale la pena abrir si quieres que este término tenga más sentido dentro de un workflow real de Solana.
Las entradas del glosario se vuelven útiles cuando están conectadas. Estos enlaces son el camino más corto hacia ideas adyacentes.
A zero-knowledge proof is a cryptographic protocol by which a prover convinces a verifier that a statement is true — for example, that a state transition is valid — without revealing any information beyond the truth of the statement itself, satisfying the properties of completeness, soundness, and zero-knowledge. In Solana's ecosystem, ZKPs are used by ZK Compression (via Groth16 SNARKs) to prove correct state transitions for compressed accounts without storing full account state on-chain, and by the Token-2022 Confidential Transfers extension (via ElGamal encryption and range proofs) to prove token balances are non-negative without revealing the actual amounts. Solana's BPF VM exposes the alt_bn128 elliptic curve syscall to make on-chain Groth16 proof verification computationally feasible within the 1.4M compute unit budget.
A zero-knowledge virtual machine that generates cryptographic validity proofs for Ethereum-compatible smart contract execution, enabling ZK rollups that run existing Solidity code. Vitalik Buterin's Type 1-4 classification captures the trade-off between full Ethereum equivalence (Type 1, slower proving) and modified execution (Type 4, faster proving). Major implementations include Polygon zkEVM, zkSync Era, Scroll, and Linea.
Estas entradas viven junto al término actual y ayudan a que la página se sienta parte de un grafo de conocimiento más amplio en lugar de un callejón sin salida.
A vulnerability where a program accepts an account in a privileged role (e.g., admin, authority, payer) without verifying that the account actually signed the transaction, allowing any caller to impersonate that authority by simply passing the target pubkey as an instruction account. In native Solana programs, the check requires asserting account.is_signer == true; in Anchor, the Signer<'info> type enforces this automatically. Exploitation lets an attacker bypass all access control gated on authority equality checks, making it one of the most critical and commonly audited vulnerabilities in Solana programs.
A vulnerability where a program deserializes and trusts account data without first confirming that the account is owned by the expected program, allowing an attacker to substitute a maliciously crafted account owned by a different program whose byte layout happens to satisfy the deserialization. On Solana, every account stores a 32-byte owner field set to the program that created it; native programs must assert account.owner == &expected_program_id, while Anchor's Account<'info, T> wrapper performs this check automatically. Failure to validate ownership can lead to complete auth bypass if an attacker can construct a fake account whose data parses into a struct with elevated privileges.
A vulnerability where a program accepts an arbitrary program account from the caller and invokes it via Cross-Program Invocation (CPI) without verifying it matches a known, trusted program ID, effectively letting an attacker substitute a malicious program that executes under the victim program's authority or manipulates accounts the victim program passes to it. A common pattern is accepting a token_program account without checking it equals spl_token::ID, so the attacker passes a lookalike program that records or drains account data. Prevention requires hard-coding or explicitly checking the program ID before every CPI call.
A vulnerability where a program derives a PDA internally but accepts an externally supplied account as that PDA without re-deriving and comparing the address, allowing an attacker to pass a different PDA (derived from attacker-controlled seeds) that the program will treat as legitimate. Because PDAs are deterministic, the only way to guarantee account identity is to call Pubkey::find_program_address (or equivalent) with the expected seeds inside the program and assert the result equals the supplied key. Anchor's seeds and bump constraints on the Account type automate this re-derivation and equality check.