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Fix legitimate spelling errors

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Reviewed-by: Norbert Pocs <norbertp@openssl.org>
Reviewed-by: Nikola Pajkovsky <nikolap@openssl.org>
(Merged from https://github.com/openssl/openssl/pull/29437)
This commit is contained in:
Richard Levitte
2025-12-18 09:51:36 +01:00
parent e2b15858a7
commit dc7f7f01ad
11 changed files with 54 additions and 54 deletions
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2
test/bio_base64_test.c
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@@ -229,7 +229,7 @@ static int test_bio_base64_run(test_case *t, int llen, int wscnt)
/*
* When the input is long enough, and the source bio is retriable, exercise
* retries by writting the input to the underlying BIO in two steps (1024
* retries by writing the input to the underlying BIO in two steps (1024
* bytes, then the rest) and trying to decode some data after each write.
*/
n1 = elen;

10
test/quic-openssl-docker/hq-interop/quic-hq-interop-server.c
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@@ -31,7 +31,7 @@
* Environment variables:
* - FILEPREFIX: Specifies the directory containing files to serve.
* Defaults to "./downloads" if not set.
* - SSLKEYLOGFILE: specifies that keylogging should be preformed on the server
* - SSLKEYLOGFILE: specifies that keylogging should be performed on the server
* should be set to a file name to record keylog data to
* - NO_ADDR_VALIDATE: Disables server address validation of clients
*
@@ -654,18 +654,18 @@ static int run_quic_server(SSL_CTX *ctx, BIO *sock)
if (!SSL_set_incoming_stream_policy(conn,
SSL_INCOMING_STREAM_POLICY_ACCEPT,
0)) {
fprintf(stderr, "Failed to set incomming stream policy\n");
fprintf(stderr, "Failed to set incoming stream policy\n");
goto close_conn;
}
/*
* Until the connection is closed, accept incomming stream
* Until the connection is closed, accept incoming stream
* requests and serve them
*/
for (;;) {
/*
* Note that SSL_accept_stream is blocking here, as the
* conn SSL object inherited the deafult blocking property
* conn SSL object inherited the default blocking property
* from its parent, the listener SSL object. As such there
* is no need to handle retry failures here.
*/
@@ -676,7 +676,7 @@ static int run_quic_server(SSL_CTX *ctx, BIO *sock)
* Hit a legitimate error, and should bail out
* or
* The Client closed the connection, and there are no
* more incomming streams expected
* more incoming streams expected
*
* Filter on the shutdown error, and only print an error
* message if the cause is not SHUTDOWN

6
test/quic-openssl-docker/hq-interop/quic-hq-interop.c
View File

@@ -403,7 +403,7 @@ static int setup_session_cache(SSL *ssl, SSL_CTX *ctx, const char *filename)
/*
* Because we cache sessions to a file in this client, we don't
* actualy need to internally store sessions, because we restore them
* actually need to internally store sessions, because we restore them
* from the file with SSL_set_session below, but we want to ensure
* that caching is enabled so that the session cache callbacks get called
* properly. The documentation is a bit unclear under what conditions
@@ -467,7 +467,7 @@ static BIO **outbiolist = NULL;
* This static variable holds the reference to a dynamically allocated array
* of strings, representing output names. It is initialized to NULL and
* populated as required during operation. This array holds the names of the
* output files from http GET requests. Indicies are correlated with the
* output files from http GET requests. Indices are correlated with the
* corresponding outbiolist and poll_list arrays
*/
static char **outnames = NULL;
@@ -606,7 +606,7 @@ static size_t build_request_set(SSL *ssl)
new_stream = NULL;
/*
* NOTE: We are doing groups of 25 because thats 1/4 of the initial max
* NOTE: We are doing groups of 25 because that's 1/4 of the initial max
* stream count that most servers advertise. This gives the server an
* opportunity to send us updated MAX_STREAM frames to extend our stream
* allotment before we run out, which many servers defer doing.

2
test/recipes/15-test_pkey.t
View File

@@ -88,7 +88,7 @@ subtest "=== pkey handling of public keys (Ed25519) ===" => sub {
ok(run(app([@app, '-in', $in_ed_key, '-pubin', '-pubout', '-out', $pub_out3])),
"extract public key from pkey file with -pubin");
is(compare_text($in_pubkey, $pub_out3), 0,
"public key extraced from pkey file with -pubin is same as original");
"public key extracted from pkey file with -pubin is same as original");
};

2
test/recipes/20-test_speed.t
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@@ -118,7 +118,7 @@ ok(run(app(['openssl', 'speed', '-help'])),
#Now test some invalid options. The speed app should fail
ok(!run(app(['openssl', 'speed', 'blah'])),
"Test an unknwon algorithm");
"Test an unknown algorithm");
ok(!run(app(['openssl', 'speed', '-evp', 'blah'])),
"Test a unknown evp algorithm");

2
test/recipes/25-test_configutl_data/includes.cnf
View File

@@ -2,5 +2,5 @@ openssl_conf = openssl_init
.include = ./includes.1.d
.include ./includes.2.d
.include ./nonexistant.d
.include ./nonexistent.d
.include ./included-file.noncnf

20
test/recipes/30-test_evp_data/evppkey_ml_kem_1024_decap.txt
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File diff suppressed because one or more lines are too long

20
test/recipes/30-test_evp_data/evppkey_ml_kem_1024_encap.txt
View File

@@ -2154,7 +2154,7 @@ EncodedPublicKey = 1cfa5addb505d4b3155f44c292f958f02c32de979b3b042f85ac3354fa319
Ciphertext = 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
Output = 8918cd0c3eabdb8267e24b79272ab6b67c9ea6418cab15e2e3070f6c747b4dc4
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-1024
Entropy = adf510dc0e997af14f96e4863f316475be59850bc861ca0d1b057d6b94c3b5d6
@@ -2162,7 +2162,7 @@ EncodedPublicKey = 9d76798256925e67ccd5ccac6d69a85343825b6a20793095e1a29d1b526e1
Ciphertext = 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
Output = 6e63c5ca8af98628c02c8f1d520615a1a2c4824d5d155a6e51d181e8eb44c7fa
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-1024
Entropy = 3983da6a4615805f6d55c14ba582d59a40e646c7ae77f4835a51afc6c37f11f3
@@ -2170,7 +2170,7 @@ EncodedPublicKey = 452bab83196c047889f7eb13897b3d73db6ecf5c9687c3a97d5b3fca3071a
Ciphertext = 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
Output = d0ffac51bd8b7e6192ac5954b26a5c64f4d0ea746b08d9f73602062aa8aaf7cd
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-1024
Entropy = 2676b8426b9d6a30af007094bb76d65d388c2b3da938215dd6f6987206400e13
@@ -2178,7 +2178,7 @@ EncodedPublicKey = 04db6353d04f4a88b97b6aa5a6a42a101a535da323cae6c7dd757de67c24f
Ciphertext = 8106cd6746bff4925c2620882d571c50b36b066a5ea43fa6528351d97dda7dff1d9e9ee6ddc640ddb88851844c388727c918152c41c814be39f274183e116432a61f9a7c1885f07bf118e4ba631598fa9b1e01e72a68ec43dba62235587c9b9dd1c8e806174ad612a2ffd477e8d0edc2ebaf4036393283b55144b9c83cbb31d1674565abf29a56980dc4a3803a389a20dbf78c78a907a5d651649c27c9771ef436c189d1922564397f5b5594d7efa951ba7d05962df80c49c1f73029c3d7899852d8a1fe03d1245a228028cf713f4403abc64a9093d782cd1a6dfe12a79098e07f40904ad146dbbdfa919058149b051bea097a60aa0373cf9c0803e8da99c03a6b83813f99adea8c87e6da09013947cbbbde8edc3b7ca29f3180882cb11bec706f4048a20c5938560ea83380be5cd75f48d77bf3360fc131509317dd72b9340bab91fc6bf7ce099bfa58d6c5a413fd2801a15ce7ac6f6f2c0447cba39987a37695468cd0fdc982631d9b0354205194323e74d41c54e0a026c4e67467b5595aae7c8346d1bc5538ad0acdd56fcda32f95dd7830b65b2d98c05355a3ad9c84cb43c23ef9845250888ecb6f992da17f769a13bb7bfd621571f98b42a9aaf19d0626d7d59355d9730371b29a3868b97afd7013142866e0b2f1c54841de47c47775940c58475c96a4881bc69c6de346e05f55cab15d497392fbefd2309a834c733eb3ec8df4ae65ccaf690af492e39d0b5c91d09b39966b31b47ddf6751b481966f19758dbbc373debf284640015cb197e53120e0a36ab02203e0992f35b4c8347021f8c4663c996597a466b416cf271e04a20045639635b904b63250817c29451dd2ada5f3011500f705c2f0982d236ee1cd02944e35cfc6704f0e8fa30d8d2d595340b4245d3f3d5246d368062b53f06ad365dbf12c0fe7f492690fbf3389d234e76a618e63f785af41b2f4af70be0bf0a917df6a5f34683d931604c6df9288cb9e38b8d8396ab2e21a1c9a54f4dca2a4985c3c4aaf20af5e6fdd126860df422a894dff4a857f2a8aa54c4bebb70d44a4ad15d47497be7e0b7487003ecd6f92cec84bf4c459eb5f480dc20bb6db735cfaade1ce33782aaffa6a39e4f2ce9e7df44347b91d75bbe71b824d6302608dedab325d00163cb9e0a274ce49717bd6ddf4b9c02fb6986a8f765ed565f48c10dc90f39b93aba1a69a832e41f2b0dc2113fee500c99471ab67e3ab5a1cccc0f92273739eae4747de461ca3ce6161b558577b56af9e695a978970473dc671efcddda2bbd8d15fa6eb8ec0ec9f479bd9b8d3dd4865460846733856fd57664760bbd5ed354696ce6c8b44c6ebbcb07920cb6c3cf769c005503add472c7374b8875d714d25c74e2d4390ea455e00208763f56e475b630a30875bafc70f87f541bfd0a28839d441ce567db3be7a20e2773f08ae73f9686b95623fcfa7b1b3052d64448756f9a7481b1d9c6022898e79afd4c2290a9ed2e0658c6178826ce94e0ab460798a88cc54558c51239bbcc5347d59ac87fb6580f84aae6492e1ca700093438889fd50eb7028153e8b4675fd272667fa022b17029808b88df427ac048d8b410f60a56ac39220f8b509ca93c34c7dd62934f62a7e29aa3b0918299fd5c56b3c3158775a3b3d5c78aaf2f656257fdaaaa5b7daf83294b5fc48d08922ea6f5487d647c30b1c11a30d2b1690958fd90107a0d6cc689441a36d04039bea83c447e79b04bdbcbab04427949855aa1a32790075438ca6ae6f7897581b4489ea1dbc4c025fa1ebe698959a8145e8f11aa1cb6f742d1be789cba73fdea457eb0abf1e814c931922f451a7d59514c3e2526b1378be1ba8ce317ec3fe2e3d983edb346874f5251d197ea02c7b16fef2b7ba8cd3b0179b1f935d4aa4d463bda2d5dadd6ba96c0ad630f1eff86e34dee3f2eafb9cc5f5ed13dac2149a583e2af8db3a789c39f751e645acb58743646c6f65bb12564b8f26697e80b8d9636b0833d71433a0465dd501eb313158275608390568c7130ae5f998d3819ad7f3855d26ddc9f4ec07a36d191450dd6502a28665eaf8235a3f10b90aba654c70974038cdc9b3335d9b865da8a07be70d53f6a5edc7c4a5f4b5220c8e7fc01f5740360db072a4f8d7e80246dced5c75ad642ef1b41841f43e6e422f4f9131c1b3f505197f18571b057ed1cf2dab2f37dcb88082f8d8291d13eb7abdbb14
Output = ab923efab9857dba5a68f9198c4318f54a42aec38d194133eb7f5dc172478e79
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-1024
Entropy = 319c51bcb76124b92f39820a5653c0ecfba79ec91d632b0488f4020e5df4e37a
@@ -2186,7 +2186,7 @@ EncodedPublicKey = 61e61727c66c5cdab43ea53041e25b36b56a323a12f70c99eea25fb4d387c
Ciphertext = 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
Output = a6ac9ae3077504c8a7b1e5558a0fb1e7d60cd2bc3e59d615e68d5165e4903d07
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-1024
Entropy = 00ff48b3769ffaf4e91c1c9110eb8ce9e2cb99f060b486b37035407d2f4ca517
@@ -2194,7 +2194,7 @@ EncodedPublicKey = 6328240b1a7286c71c5cc17284fb5058410381c74456c1ae3ad93735b6c7d
Ciphertext = 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
Output = be6aaee5bf0744e7ca1ca0e545171f3075aba9b4d10a71ae00848c8398e3c52c
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-1024
Entropy = 4960ccb1276f96d7aa55885b6ae6f90343d42e1391e8241b5952931a979837e1
@@ -2202,7 +2202,7 @@ EncodedPublicKey = 2b1a5060745e8525bc617900d53b414dc995772543cc58a6bb7c4868f8999
Ciphertext = 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
Output = ff81d45deb69b6890f147710945d1b750cf17e876cd4e694158efcaf4fa2cb15
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-1024
Entropy = 456be124e7f43803de5f734ea016455d68164a7f054c003f4ef49e46f42dd8d0
@@ -2210,7 +2210,7 @@ EncodedPublicKey = 101738f8f11e10897f9b1b16cc7c57ddfb3e4f6b01ad6239982baa07c56c0
Ciphertext = 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
Output = bd452a700448a4542a31dcddcd0bf285610aca6570d8bc85e20e163a13db5663
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-1024
Entropy = e8ac9e76377d67d84f85a142383e777157805be0d0f679ba89cefdfa61583780
@@ -2218,7 +2218,7 @@ EncodedPublicKey = f6036a8efa3d74327dac2417e6fb05e2f1c178023b70214296c3ce6515124
Ciphertext = 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
Output = 8d99392e447dbb7f7eefd329325bd71d1d984cfb01fd609c3283a84fdd0f0138
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-1024
Entropy = 2fe6b9cf4510f212839e348d671b3345da68a477f57513ce363414e87299a717
@@ -2226,7 +2226,7 @@ EncodedPublicKey = 2970cafb137f0e7c060db72de03a46d8a860b0cb2a45b462e5530eb566bcd
Ciphertext = 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
Output = 71e358b21b3b98d915b70e9b877e94159aabe9df32737c71c50c2f99d7a074e3
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-1024
Entropy = 86630b4f72820d19e9941784183b3a0d770609becd6fe0dc463cb6edac432d59

20
test/recipes/30-test_evp_data/evppkey_ml_kem_768_decap.txt
View File

@@ -2215,70 +2215,70 @@ EncodedPrivateKey = 16997ff80976d1506b23c012e387ac6ca0a792f7481ac3c9775317ee3ca5
Input = 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
Output = 5b357f714a293b6724c0dc2e2c5509676782a9dddb050d88e6efa0a6d09d20b7
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
EncodedPrivateKey = 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
Input = 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
Output = 54c35602dafe572b99aedb7069a59c4f7818c860b27a947347657ac1954d6454
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
EncodedPrivateKey = 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
Input = 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
Output = 7e1b4195e9cb70e6884d3d00f0b3f0a66b4d8c00ce112e1e79a1dd236ab62b26
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
EncodedPrivateKey = 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
Input = 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
Output = 2522e72d308dc9d7d701e0b024af9e15627572f13573b27c406fa750df9636fd
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
EncodedPrivateKey = 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
Input = 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
Output = 1cffb3d6d9dd9cf90d79fb2c5c974818c5bd6f32ea4d44c302337c4cbea44334
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
EncodedPrivateKey = 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
Input = 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
Output = fd9e333ac811ae8be12c052c65131e3a7a32ce82e39055012ea564e10acaa85e
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
EncodedPrivateKey = cc389888219463a7a5f6c2ca3014accb3bc26f2318f593876de6a49822b6c1e694b7e5aa9140a0765b6334ec762c8bb018d28a99004081256159c836f4f800d0c9aa4a7136fcd89ba7cc1d6a32b23ed181b3fc118ecc60096a4ce8261ea2c0a6ca49baa28b75d1b40215367e6a33a1c177937bf43a70c3889f6aa239e20e499bc7a836694a0bc2912cc7cf211ba20c12d5ec312da2815ef20c8565712b22a927451271040cf4daa44d79705b97993584424e7b3224a5583e5b8eaf640e85015676517113f53a415220fde3638b9c0a38115e668545305ab298b9923bc16de5b9137b30a39a2c8b5fb75e4d1168593a8eb0e067bb9343f1a030e5228bf0b3a49169393cd14f73c2b8221b1267627d80b97d30544b02a4c7bf06099194b2d646596aa439d82a214e6cb9c5ea1ded727c8143755cf881415b6357661a90d5ae759475baa6076eb478a5826f86f9868afc47ac3a02a0e84579a25466a63d933b071213c886790c320416d9422d280745758779635ba6f848440b2489144866e8e018200cb8305b3060926d7e7213089a06d044176b053f3bfbcecac7840dd7844ec29eb17bb2caf321a5b17848c16a678552727a3d70c34f024164b3c4856b0a4ecbc78d345187c6e09f055273bb775078b43ecc534a40e66592b607b56b5f9304aeb048375ac71c30464e979a656f1728a7b700e3b33e5026bf40198b94455d2be37cd65867522b20bddb5ecb7a010191254b8a403f37c4577a613ea30678daab55508b16d6020f074504f928dddac1e8367faf6199715048c96a8fd6bb225715accdcb012cc856a76057b6b72b09a4aeff5b8ba278c54a750596e82bda45be19014e8ff52df181435ed9ac8c402147b539ffd984c291535b7bc8b26c5036352520730195fbaf40033fac450843e808b9ccbf03b40a9ed657f6ac4af8b65b4e389280633d79799e0226b28b356fc2e39f10a80452dc934caac7c3c521f0c5544e7821a403688f08378c3086d3ab8f7e4036ad516778da606204aed3ca1ae8c42e11038a64ec78a5fc5dcd0475429124b5d665e4acbeccca3a296a8e878b917b886ec7f029491c661bba684ac4229cd71373c829055b602db0518a481230345a34a709010a03e4b197273510a0a24465288c327c10c75434d9473208a7964db7792ea81c5fe0c4bd967c3f0c98765ba7d3faa4e6097f09e9bf10638fb900a764e4a0bdba2f19165bd69832681310a7a2585bf06322a3238dd26a4807af44faad999397d4aa14e76c2cad5326ce573d7ca04c03db769dd01a65583ecbbb991e7a31b59238f8741845f1adb5992607184dfa19a9e8840ed9e1622ab93031e2b448860d411a3d239277052cc8ea71046a0b1ada191a020c322d776c6655ae71964d86314a86a47b6a367b8ac5a4aec75677226de0c1864492c88fb70a53187cb76835d5477346646a9da97301156a3ffcc231f9a0da760dac142674e5cea882364dd74fab66901dbb7eaf037008c52073054cc2f94ec845444054058402515bd206d496bfa02c442c746ff3e662b899c34c40900902c4f8ca146458522c6a7af772b2df483f9d840fe07464b0c66fe1036c070c6f70278e9506342663b07529247b1697f6513e1ec8234bc145eba3446eec18b3826b2ae709792648e071a7c4627e4ac7716db5b1d6040ba7b8ac39b347ef721a99c879453846e1aa591b8495e19003df973580d4192cabb72ae2b1f498bae9b3cfffc8bbce09122cd1910a406574106810dc556894777f35316c992f3b902186dba411ca3462b927688c81f7269b7c2770de5aaf90c81f752a3ec77942729a68fcb38a62946c601c945249bf0e280b66764ba71a44134ba84df1400bebccc61456fdf3bf50aa85e8e60f491ac1c1317d831ba5db6601133883fda81115c67fe4691d9df01fd3732b336bbc3899cf067b9e3905294902ca5686480cc94eb4e98260408b4dd060cf4b5344380c89d564b31158ce098ce1e06b91446c4189c6a4d89aa7e81befa900b250a7060406e25725e09399963c5e3e04219d390e6c28983e335646485023312c4d5bcad9aa7ee683b935d71af1908703fa2c9d66c8b6c55049b3319d39c047b5824d04975a9034e8ca1a9e1a5b0bcb222c5b5c848818d14503c31270d4f8446d013d4ecbc250b72dc25934726b426afc85631ca1065ca6e957ba00f1176a6a45b68a5e93274423e642451129ce83b7de439963c0c4e5d8b25f3b74fc053151610b4263725fe51423e886bed19c534165b4cc90fbd67256839b9371290af9853c948251c768e157041ac91fe6649bd1b1855dc417624b8ca0d798b1947c720b3414db56f01500fba30207322ede05612bb6505818a9a68538c9eb98f2b0a83dd38b765891f0d01f1db768d2355fc6b7a47414527c92ba104637072a72a6c0ce74772664e68660c9c0c28347315b17273a6846a79904a04b90a60c5b15973630209d9460365529bb72524404b3d9cacc013b0a7355a7eb2172d317cd356a07e5a341bab7c33db5a48fca4b1600443df6bf441983cc05125f6aa94f114a8c3ccea3f9c498c1126c072f27e97555456114f6bb3244c4698c3f6091864274a16bd82aaf0711eb8c4fd86a11b35b3b8b0528cefc253d7906b6b05382e37428253ebda5b48b6a068354381b24348dec73c279010bd32e41431d139a021a398f0e5c7fc1a98863f069b9d42a96b029455670caa89e0b867781f73fb7549392124485cb032a008d63812f832cab899a8d5d24b403e76d17d6ccb56c729e15abb2e04e32928c9b8971be6a4c70b15bee620eef375489347df7c622d9a803a86c2a9ec5a7a0554ff763912bcb7f57eb8b8633cf6ef39556162eadf8c285b61a53f4837c8c9ef48c3a58b3b6c31b8227c98df0b9057d452df2c258da8a1de1b99449c0054c48a0bc61a2336323367077cee252d366661904b12ea6215b3ba55aab06f60a517704a4046312731325df563cbed805e2c7b2a5848fa1cb97e17a2f926664c2947a2fdb56ed1b3c5e084a680073669b2b9e888ee010410acba461910795958e7c0c98294865cc700315e86a5c54912dc2affc2469244912d8180eab244332a00b7536c4cab62345872dc31ca3c0d2078d07beda4431f278aeaf2482cde53afc56352a894dfe3948fc14956917a4dc836f54369eacd4af052b4aa6b60af5e86bc868be275abd1118a83e5acfdcd4c92a3c2e2b13cce7101a9d303339f0b2dd4a282499579b803ede0b26c75eb8af340000000000000000000000000000000000000000000000000000005781f74024912ac52aead1be2a87e042830737220659467bd06128a096343d5fc975767ff083234b2979bb109a24a27bca17d170abd8d9e6ad3c3ba19e306bce
Input = 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
Output = b4b4634ad37852e19175ccfb5eca50093291da8f76b86be7511379188bc20d92
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
EncodedPrivateKey = 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
Input = 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
Output = d4b9a0f77a52d4f8b9c95951257348d1931725c27eede694ecc09204a931daf7
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
EncodedPrivateKey = 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
Input = 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
Output = c9d0cf3edb1172344364afec3615ba98477ce9316f92ca46ca5f42b73553a9f5
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
EncodedPrivateKey = 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
Input = 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
Output = 4bb6a6b27596869efae3d411c69c593afff99b1a703ee1f4ff3e0e7e9756e75b
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
EncodedPrivateKey = 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

20
test/recipes/30-test_evp_data/evppkey_ml_kem_768_encap.txt
View File

@@ -2154,7 +2154,7 @@ EncodedPublicKey = c30b1c077bcd1dd852cdb9736289bb441013f7132a86664c31990bf601cff
Ciphertext = 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
Output = 5b357f714a293b6724c0dc2e2c5509676782a9dddb050d88e6efa0a6d09d20b7
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
Entropy = adf510dc0e997af14f96e4863f316475be59850bc861ca0d1b057d6b94c3b5d6
@@ -2162,7 +2162,7 @@ EncodedPublicKey = d7dab73b47cd1ca43c7e036d41c94f8f31a0de404fa38a1da0992933d752a
Ciphertext = 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
Output = 54c35602dafe572b99aedb7069a59c4f7818c860b27a947347657ac1954d6454
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
Entropy = 3983da6a4615805f6d55c14ba582d59a40e646c7ae77f4835a51afc6c37f11f3
@@ -2170,7 +2170,7 @@ EncodedPublicKey = 47340db6d04313d3a689b357566b9743cace5d5b906a39249f1c2bcdf335f
Ciphertext = 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
Output = 7e1b4195e9cb70e6884d3d00f0b3f0a66b4d8c00ce112e1e79a1dd236ab62b26
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
Entropy = 2676b8426b9d6a30af007094bb76d65d388c2b3da938215dd6f6987206400e13
@@ -2178,7 +2178,7 @@ EncodedPublicKey = ddabceea01649d9c6588d68c05e93cb6959fbe348468cb6e7f482d2b0507a
Ciphertext = 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
Output = 2522e72d308dc9d7d701e0b024af9e15627572f13573b27c406fa750df9636fd
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
Entropy = 319c51bcb76124b92f39820a5653c0ecfba79ec91d632b0488f4020e5df4e37a
@@ -2186,7 +2186,7 @@ EncodedPublicKey = e2c1184862562b91806efa62f1b72a8ec43e70663de1f66a59687ae0cc1d9
Ciphertext = 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
Output = 1cffb3d6d9dd9cf90d79fb2c5c974818c5bd6f32ea4d44c302337c4cbea44334
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
Entropy = 00ff48b3769ffaf4e91c1c9110eb8ce9e2cb99f060b486b37035407d2f4ca517
@@ -2194,7 +2194,7 @@ EncodedPublicKey = e8014b4f4687bb6670b1c2a29ba577100943d5b926cb396423663f710328a
Ciphertext = 3159aa52482f4262cee553f9eb6d853d091a507831f5ed1af37b9c55f217eb1e87e8b0dfb653932c27e9e9f2c4d45cf89e9cfe9ba0d5175be56b7fe3751a4255649cfabdf0cbd5a8704d58511acf6e0580eed572561fab262b24d39c3a430a4e54fca969394037df12fd8cd71b7b6ec3d8f7345b05d4c16c5871b686690cee9804012a3379bbcf720f405c3c83f59aa391cefd8b00a73b41147d42c8b7820b0e779c44e032209067349fa4cd35e83850ae37ee73f96fc6bc5b71ff9b0462604b4e07be60cc76903175b045b908c9b8e7e94c6bc7c48ffd49698873913f9132025e51614317d27a874e319d802923804d1ce1626420d5794bbbe5e077cbd7fa3d958fb2d9608a3d41f605908d21fc7f942e3152337115a28b661f76405620b056692bfcc066f370449628f8e31b7453e5b7b10702f7c195dfb779fb3253f86acbaf4444ba9ce01c9b043133a233030247f8fc44d5b8c9b024ee83c186a62ba9fa5a3e45389217884a478f238d6a9b8eaf3d87b7b4b4375d4d5226dfb80255faab42380365b5511567978be9726d21178eced7294463a348b1e976d800b1114fb8230115b28e51f628a31aa8cf2e3253a7dccaa37f975fa2b8d32a6b6147033cfcbde33ab8857e3a6af95e4cd0db62fc020f55c2d6c9204a05835e2cf878c66502f572016d95b30c45c2ef6048471ad0cb7fe14250dddcb4014c392c22fb1dce1adc8e02f416d3e9b417f41c1b4065b975de472d0e9fd5b3a012ee9bf6311345b4968f6f18262bfc2a38d56d911f9efb981813f77a8a8d6af0618e015b8b005e7ea957f89f140192c7442a645ea7012b5ea2ba9f8cd2fea2ad3e41c6a57582237d53444fceaa933d61eac36d03a2865bfb7f12fd8cf451edb5050a35a75c95dd328296dc32daf61622ce0cc457c5968414b634b3e12a0ce45bbd733e3982c087a037d89cc86d546007bd92eef33949d19dbd4daa18e59c7ea3572bf3155a9a46af527347f4f4dcc2be3cc285d65f2f86c681a137850431ce8d2f76e295e74bd0b3c88f1b68885522dadb99fe1c8e40d938c9610e466770d62c34e9393241907d9cd7bfa470cb8fc149306d9450a7a1887d03cddad3fcdeda1ea54d3f126bb29a1ac3d7c5a60ead90d74ccbf1a75b4289a74a49e0a7c4006ab76a83915ebd4a95a471525444dd2c3e748b1bd347774e2cf01f90f05a1672c58f4f563e4da083e95e0fadd4ba57acebcb45611a3923da1d0d73f5c9a55489fb0097e123694e413460252892a0c6317dcb56efa834f7a51db4a413976afcb30ab4dafbe737f43da11c1b08a2472cdff3995dd7d23382b866873624fedee76823d37ec230dee2107258993d5b802fadeb89c9469a33c66c91567ea92581e0c2c1eaa2e2a4696b024c7c6009687d07769438a8b2ba75a7bfb32841dab8acfb8cbd4d1e26c5eb68bc49bb394b178e6f89dde843f4e2c5353b04390c245a0bddd1aeaefb87528b719fe42b35ad2a89ef34826d9e23f95b1bd3c3b24f785985e10dcaf0eb33f5f71f5cbe55
Output = fd9e333ac811ae8be12c052c65131e3a7a32ce82e39055012ea564e10acaa85e
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
Entropy = 4960ccb1276f96d7aa55885b6ae6f90343d42e1391e8241b5952931a979837e1
@@ -2202,7 +2202,7 @@ EncodedPublicKey = f6513e1ec8234bc145eba3446eec18b3826b2ae709792648e071a7c4627e4
Ciphertext = 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
Output = b4b4634ad37852e19175ccfb5eca50093291da8f76b86be7511379188bc20d92
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
Entropy = 456be124e7f43803de5f734ea016455d68164a7f054c003f4ef49e46f42dd8d0
@@ -2210,7 +2210,7 @@ EncodedPublicKey = b0abba905c1559715f25f720b7b745a52332355154e60577e598c754b6346
Ciphertext = 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
Output = d4b9a0f77a52d4f8b9c95951257348d1931725c27eede694ecc09204a931daf7
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
Entropy = e8ac9e76377d67d84f85a142383e777157805be0d0f679ba89cefdfa61583780
@@ -2218,7 +2218,7 @@ EncodedPublicKey = 038c5d80656805b427d0b9167abb3697444af88a0f3eb48bf658be44f36b0
Ciphertext = 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
Output = c9d0cf3edb1172344364afec3615ba98477ce9316f92ca46ca5f42b73553a9f5
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
Entropy = 2fe6b9cf4510f212839e348d671b3345da68a477f57513ce363414e87299a717
@@ -2226,7 +2226,7 @@ EncodedPublicKey = 7dd722a23522b0d8cb522a67d63a75af305c05f3659bc496f1c47e410582a
Ciphertext = 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
Output = 4bb6a6b27596869efae3d411c69c593afff99b1a703ee1f4ff3e0e7e9756e75b
# Rho leads to a matrix with unusally large entries
# Rho leads to a matrix with unusually large entries
FIPSversion = >=3.5.0
Kem = ML-KEM-768
Entropy = 86630b4f72820d19e9941784183b3a0d770609becd6fe0dc463cb6edac432d59

4
test/recipes/90-test_memfail.t
View File

@@ -48,7 +48,7 @@ sub get_count_info {
}
#
#The number of allocations we skip is in argument 2
#The number of mallocs we shoudl test is in argument 4
#The number of mallocs we should test is in argument 4
#
my $skipcount = $vals[2];
my $malloccount = $vals[4];
@@ -74,7 +74,7 @@ sub run_memfail_test {
#
# We need to setup our openssl malloc failures env var to fail the target malloc
# the format of this string is a series of A@B;C@D tuples where A,C are the number
# of mallocs to consider, and B,D are the likelyhood that they should fail.
# of mallocs to consider, and B,D are the likelihood that they should fail.
# We always skip the first "skip" allocations, then iteratively guarantee that
# next <idx> mallocs pass, followed by the next single malloc failing, with the remainder
# passing