| # EVP ML-KEM tests. |
| |
| # Sample keys are from RFC 9935, appendix C. The sample public and private keys |
| # correspond to the same key. We support only the "seed" format, and not the |
| # "expanded" or "both" formats. |
| |
| PrivateKey = ML-KEM-768-RFC-Seed |
| Algorithm = ML-KEM-768 |
| Input = 3054020100300b060960864801650304040204428040000102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f202122232425262728292a2b2c2d2e2f303132333435363738393a3b3c3d3e3f |
| Bits = 9472 |
| RawPublic = 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 |
| PrivateSeed = 000102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f202122232425262728292a2b2c2d2e2f303132333435363738393a3b3c3d3e3f |
| |
| EncapsulateDecapsulate = ML-KEM-768-RFC-Seed |
| Algorithm = ML-KEM-768 |
| |
| PrivateKey = ML-KEM-768-RFC-Expanded |
| Input = 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 |
| Error = PRIVATE_KEY_WAS_NOT_SEED |
| |
| PrivateKey = ML-KEM-768-RFC-Both |
| Input = 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 |
| Error = PRIVATE_KEY_WAS_NOT_SEED |
| |
| PublicKey = ML-KEM-768-RFC-Public |
| Algorithm = ML-KEM-768 |
| Input = 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 |
| Bits = 9472 |
| RawPublic = 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 |
| |
| Encapsulate = ML-KEM-768-RFC-Public |
| Algorithm = ML-KEM-768 |
| |
| PrivateKey = ML-KEM-1024-RFC-Seed |
| Algorithm = ML-KEM-1024 |
| Input = 3054020100300b060960864801650304040304428040000102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f202122232425262728292a2b2c2d2e2f303132333435363738393a3b3c3d3e3f |
| Bits = 12544 |
| RawPublic = 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 |
| PrivateSeed = 000102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f202122232425262728292a2b2c2d2e2f303132333435363738393a3b3c3d3e3f |
| |
| EncapsulateDecapsulate = ML-KEM-1024-RFC-Seed |
| Algorithm = ML-KEM-1024 |
| |
| PrivateKey = ML-KEM-1024-RFC-Expanded |
| Input = 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 |
| Error = PRIVATE_KEY_WAS_NOT_SEED |
| |
| PrivateKey = ML-KEM-1024-RFC-Both |
| Input = 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 |
| Error = PRIVATE_KEY_WAS_NOT_SEED |
| |
| PublicKey = ML-KEM-1024-RFC-Public |
| Algorithm = ML-KEM-1024 |
| Input = 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 |
| Bits = 12544 |
| RawPublic = 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 |
| |
| Encapsulate = ML-KEM-1024-RFC-Public |
| Algorithm = ML-KEM-1024 |
| |
| # Some test vectors from Wycheproof, to test the EVP API. |
| # |
| # TODO(crbug.com/42290453): Once we've caught up with Wycheproof, consider |
| # moving Wycheproof tests to the EVP layer and replacing these. |
| |
| PrivateKeyFromSeed = ML-KEM-768-PrivateSeed |
| Algorithm = ML-KEM-768 |
| Input = 7c9935a0b07694aa0c6d10e4db6b1add2fd81a25ccb148032dcd739936737f2d8626ed79d451140800e03b59b956f8210e556067407d13dc90fa9e8b872bfb8f |
| |
| PublicKeyFromRaw = ML-KEM-768-Public |
| Algorithm = ML-KEM-768 |
| Input = 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 |
| |
| EncapsulateDecapsulate = ML-KEM-768-PrivateSeed |
| Algorithm = ML-KEM-768 |
| |
| Encapsulate = ML-KEM-768-Public |
| Algorithm = ML-KEM-768 |
| |
| Decapsulate = ML-KEM-768-PrivateSeed |
| Algorithm = ML-KEM-768 |
| Input = 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 |
| Output = e7184a0975ee3470878d2d159ec83129c8aec253d4ee17b4810311d198cd0368 |
| |
| PrivateKeyFromSeed = ML-KEM-1024-PrivateSeed |
| Algorithm = ML-KEM-1024 |
| Input = 7c9935a0b07694aa0c6d10e4db6b1add2fd81a25ccb148032dcd739936737f2d8626ed79d451140800e03b59b956f8210e556067407d13dc90fa9e8b872bfb8f |
| |
| PublicKeyFromRaw = ML-KEM-1024-Public |
| Algorithm = ML-KEM-1024 |
| Input = 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 |
| |
| EncapsulateDecapsulate = ML-KEM-1024-PrivateSeed |
| Algorithm = ML-KEM-1024 |
| |
| Encapsulate = ML-KEM-1024-Public |
| Algorithm = ML-KEM-1024 |
| |
| Decapsulate = ML-KEM-1024-PrivateSeed |
| Algorithm = ML-KEM-1024 |
| Input = 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 |
| Output = 489dd1e9c2be4af3482bdb35bb26ce760e6e414da6ecbe489985748a825f1cd6 |
| |
| # Private key too short. |
| PrivateKeyFromSeed = ML-KEM-768-TooShort |
| Algorithm = ML-KEM-768 |
| Input = 29995944b4ad2c4a8c7120e5c581ba7c3649d309e9427ced8289072599ec98c5fe49ec6c |
| Error = DECODE_ERROR |
| |
| # Private key too long. |
| PrivateKeyFromSeed = ML-KEM-768-TooLong |
| Algorithm = ML-KEM-768 |
| Input = d043e3d89f9a514f84ceb3f94da9546126191bd98f2533223c07ed0a3b671ba09135c35b80d71fd7554fd765b6f64fd0ac5dcc17091af1744ff3644964c24c74f9d25ad95745e5e2be |
| Error = DECODE_ERROR |
| |
| # Ciphertext too short. |
| PrivateKeyFromSeed = ML-KEM-768-CiphertextTooShort |
| Algorithm = ML-KEM-768 |
| Input = 315e34ebf153d056813c44e761dd584e914c1f72910d933807ef9f098bac325f5b1d97adc2a4395c7463f9014d55b3b32b640fe4d851a83a8a94c7ced7681759 |
| |
| Decapsulate = ML-KEM-768-CiphertextTooShort |
| Algorithm = ML-KEM-768 |
| Input = 0f9e66b3 |
| DecapsulateFail |
| |
| # Ciphertext too long. |
| PrivateKeyFromSeed = ML-KEM-768-CiphertextTooLong |
| Algorithm = ML-KEM-768 |
| Input = e0568b5d897629a780311baab0f7213729bc677d89ee198dd20b92310df604ca467788301f7bcb3c00ea82454b1caaca23e58a6a2159b3a967784def2afe75ac |
| |
| Decapsulate = ML-KEM-768-CiphertextTooLong |
| Algorithm = ML-KEM-768 |
| Input = 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 |
| DecapsulateFail |
| |
| # Random ciphertext. |
| PrivateKeyFromSeed = ML-KEM-768-RandomCiphertext |
| Algorithm = ML-KEM-768 |
| Input = 3f6f67ff01382a44c8d5dc52295311a1934f1a10f0ca6085e53af2eb524334881674047e7e7a1649482e1d9b0de92455cd14d0049bdcb7cea4b867ace5c8922b |
| |
| EncapsulateDecapsulate = ML-KEM-768-RandomCiphertext |
| Algorithm = ML-KEM-768 |
| |
| Decapsulate = ML-KEM-768-RandomCiphertext |
| Algorithm = ML-KEM-768 |
| Input = 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 |
| Output = 0483742b451a5b2364318ed5cc233ce07dbb3fd4ec9386050cb8cf0adc8d41e9 |
| |
| # Private key too short. |
| PrivateKeyFromSeed = ML-KEM-1024-TooShort |
| Algorithm = ML-KEM-1024 |
| Input = 8b29f0f00ae24d62b92412ffdf6a4d848a43a248204f8d36bffca5554231e8d0c26bb09957e5435b4f |
| Error = DECODE_ERROR |
| |
| # Private key too long. |
| PrivateKeyFromSeed = ML-KEM-1024-TooLong |
| Algorithm = ML-KEM-1024 |
| Input = 45d33b266fe58c856ccb161278eae257e2a0196f2a103337eada46d32824ae0c00e5027c6cfd19d6bcfd7aea984d1a80a5585fe59885400d3798f07f2bd1fd30b4a537422c222c4b31cd7177be3e2dbec196ca325ccb40395decb1ffabc7 |
| Error = DECODE_ERROR |
| |
| # Ciphertext too short. |
| PrivateKeyFromSeed = ML-KEM-1024-CiphertextTooShort |
| Algorithm = ML-KEM-1024 |
| Input = 9ca76217a0a04543609b209680efa2e6ebc37fb42520dc54805624d4bd1214e07966e4d3196958d2d5a55cfe01bbeab7812bfe7758a0590354f1ff4665289890 |
| |
| Decapsulate = ML-KEM-1024-CiphertextTooShort |
| Algorithm = ML-KEM-1024 |
| Input = 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 |
| DecapsulateFail |
| |
| # Ciphertext too long. |
| PrivateKeyFromSeed = ML-KEM-1024-CiphertextTooLong |
| Algorithm = ML-KEM-1024 |
| Input = b5b5149b95504b1d750ab4aa57cc77ef2bad3cca0d5bfbb73928465098f59fc9958e2432c0093671e5fa460bcbdd34e7894d7aa6a0b4681bcae0f7a0a660d322 |
| |
| Decapsulate = ML-KEM-1024-CiphertextTooLong |
| Algorithm = ML-KEM-1024 |
| Input = 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 |
| DecapsulateFail |
| |
| # Random ciphertext. |
| PrivateKeyFromSeed = ML-KEM-1024-RandomCiphertext |
| Algorithm = ML-KEM-1024 |
| Input = 3f6f67ff01382a44c8d5dc52295311a1934f1a10f0ca6085e53af2eb524334881674047e7e7a1649482e1d9b0de92455cd14d0049bdcb7cea4b867ace5c8922b |
| |
| EncapsulateDecapsulate = ML-KEM-1024-RandomCiphertext |
| Algorithm = ML-KEM-1024 |
| |
| Decapsulate = ML-KEM-1024-RandomCiphertext |
| Algorithm = ML-KEM-1024 |
| Input = 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 |
| Output = 66e9331f3ed7e258aea053740f4b38f7bb53eb1221eafc8c59f5216491aeff93 |
