* Added X509_STORE_get1_objects to avoid issues with the existing
X509_STORE_get0_objects API in multi-threaded applications.
- * Support for using certificate profiles and extened delayed delivery in CMP
+ * Support for using certificate profiles and extended delayed delivery in CMP
This release incorporates the following potentially significant or incompatible
changes:
SET_EXPECT1(pparams, OSSL_STORE_INFO_PARAMS);
SET_EXPECT1(pcert, OSSL_STORE_INFO_CERT);
/*
- * Up to here, the follwing holds.
+ * Up to here, the following holds.
* If just one of the ppkey, ppubkey, pparams, and pcert function parameters
* is nonzero, expect > 0 indicates which type of credential is expected.
* If expect == 0, more than one of them is nonzero (multiple types expected).
}
/*
- * Try explicitly fetching the signature algoritm implementation to
+ * Try explicitly fetching the signature algorithm implementation to
* use in case the algorithm does not support EVP_PKEY_sign_init
*/
ERR_set_mark();
}
if (EVP_PKEY_sign(sig_sign_ctx, NULL, &max_sig_len, md, md_len) <= 0) {
BIO_printf(bio_err,
- "Error while obtaining signature bufffer length for %s.\n",
+ "Error while obtaining signature buffer length for %s.\n",
sig_name);
goto sig_err_break;
}
vpxorq %zmm6,%zmm5,%zmm5{%k2}
vpxord %zmm5,%zmm7,%zmm10
- # Make next 8 tweek values by all x 2^8
+ # Make next 8 tweak values by all x 2^8
vpsrldq \$0xf,%zmm9,%zmm13
vpclmulqdq \$0x0,%zmm25,%zmm13,%zmm14
vpslldq \$0x1,%zmm9,%zmm11
jmp .L_do_n_blocks_${rndsuffix}
.L_start_by8_${rndsuffix}:
- # Make first 7 tweek values
+ # Make first 7 tweak values
vbroadcasti32x4 ($TW),%zmm0
vbroadcasti32x4 shufb_15_7(%rip),%zmm8
mov \$0xaa,$tmp1
OPENSSL_ia32cap_P[index + 1] = (unsigned int)(vecx >> 32);
}
}
- /* skip delimeter */
+ /* skip delimiter */
if ((env = ossl_strchr(env, ':')) != NULL)
env++;
} else { /* zeroize the next two indexes */
* function to put it to good use, or maybe affect it.
*
* NOTE: even though EVP_PKEY_CTX_ctrl return value is documented
- * as return positive on Success and 0 or negative on falure. There
+ * as return positive on Success and 0 or negative on failure. There
* maybe parameters (e.g. ecdh_cofactor), which actually return 0
* as success value. That is why we do POST_PARAMS_TO_CTRL for 0
* value as well
if (*p != '\r' && *p != '\n')
break;
}
- if (*p != '\0') /* not end of headers or not end of error reponse content */
+ if (*p != '\0') /* not end of headers or not end of error response content */
goto next_line;
/* Found blank line(s) indicating end of headers */
/*
* Return whether a value that can only be 0 or 1 is non-zero, in constant time
* in practice! The return value is a mask that is all ones if true, and all
- * zeros otherwise (twos-complement arithmentic assumed for unsigned values).
+ * zeros otherwise (twos-complement arithmetic assumed for unsigned values).
*
* Although this is used in constant-time selects, we omit a value barrier
* here. Value barriers impede auto-vectorization (likely because it forces
}
/*-
- * FIPS 203, Section 4.3, Algoritm 9: "NTT".
+ * FIPS 203, Section 4.3, Algorithm 9: "NTT".
* In-place number theoretic transform of a given scalar. Note that ML-KEM's
* kPrime 3329 does not have a 512th root of unity, so this transform leaves
* off the last iteration of the usual FFT code, with the 128 relevant roots of
}
/*-
- * FIPS 203, Section 4.3, Algoritm 10: "NTT^(-1)".
+ * FIPS 203, Section 4.3, Algorithm 10: "NTT^(-1)".
* In-place inverse number theoretic transform of a given scalar, with pairs of
* entries of s->v being interpreted as elements of GF(3329^2). Just as with
* the number theoretic transform, this leaves off the first step of the normal
* GF(3329)[X]/(X^2 - 17^(2*bitreverse(i)+1)).
*
* The value of 17^(2*bitreverse(i)+1) mod 3329 is stored in the precomputed
- * ModRoots table. Note that our Barrett transform only allows us to multipy
+ * ModRoots table. Note that our Barrett transform only allows us to multiply
* two reduced numbers together, so we need some intermediate reduction steps,
* even if an uint64_t could hold 3 multiplied numbers.
*/
$code .= <<___;
vpclmulqdq \$0x01,@{[XWORD($GH1L)]},@{[XWORD($RED_POLY)]},@{[XWORD($RED_P1)]}
vpslldq \$8,@{[XWORD($RED_P1)]},@{[XWORD($RED_P1)]} # ; shift-L 2 DWs
- vpxorq @{[XWORD($RED_P1)]},@{[XWORD($GH1L)]},@{[XWORD($RED_P1)]} # ; first phase of the reduct
+ vpxorq @{[XWORD($RED_P1)]},@{[XWORD($GH1L)]},@{[XWORD($RED_P1)]} # ; first phase of the reduction
___
}
$code .= <<___;
vpclmulqdq \$0x01,@{[XWORD($GH1L)]},@{[XWORD($RED_POLY)]},@{[XWORD($RED_P1)]}
vpslldq \$8,@{[XWORD($RED_P1)]},@{[XWORD($RED_P1)]} # ; shift-L 2 DWs
- vpxorq @{[XWORD($RED_P1)]},@{[XWORD($GH1L)]},@{[XWORD($RED_P1)]} # ; first phase of the reduct
+ vpxorq @{[XWORD($RED_P1)]},@{[XWORD($GH1L)]},@{[XWORD($RED_P1)]} # ; first phase of the reduction
___
}
OSSL_TRACE_BEGIN(PROVIDER)
{
BIO_printf(trc_out,
- "(provider %s) initalizing\n", prov->name);
+ "(provider %s) initializing\n", prov->name);
}
OSSL_TRACE_END(PROVIDER);
#endif
* Likely it would be good if build_chain() sets |check_signing_allowed|.
* Yet if |sk| is a list of trusted certs, as with X509_STORE_CTX_set0_trusted_stack(),
* better not set |check_signing_allowed|.
- * Maybe not touch X509_STORE_CTX_get1_issuer(), for API backward compatiblity.
+ * Maybe not touch X509_STORE_CTX_get1_issuer(), for API backward compatibility.
*/
static X509 *get0_best_issuer_sk(X509_STORE_CTX *ctx, int check_signing_allowed,
int no_dup, STACK_OF(X509) *sk, X509 *x)
Since the private key includes the public key as one of its components, the matrix
is also pre-computed and stored with the private key, and then need not be
regenerated during decapsulation.
-During encapsulation (typically peformed by servers), it is in principle
+During encapsulation (typically performed by servers), it is in principle
possible to save space and compute the matrix elements *just-in-time*, as each
matrix element is used exactly once.
This is not currently implemented, and the matrix is pre-computed in full.
An explicit seed can be specified by setting the key generation
**OSSL_PKEY_PARAM_ML_KEM_SEED** parameter to a 64-byte octet-string
-(concatentation of the **d** and **z** values (32-bytes each) in that order).
+(concatenation of the **d** and **z** values (32-bytes each) in that order).
KEM API
-------
Some more recent verification algorithms need to obtain the signature
before processing the data.
This is particularly important for streaming modes of operation.
-This design proposes a mechanism to accomodate these algorithms
+This design proposes a mechanism to accommodate these algorithms
and modes of operation.
New public API - API Reference
OpenSSL command line support
----------------------------
-For backwards compatability reasons `EVP_DigestSignInit_ex()`,
+For backwards compatibility reasons `EVP_DigestSignInit_ex()`,
`EVP_DigestSign()`, `EVP_DigestVerifyInit_ex()` and `EVP_DigestVerify()` may
also be used, but the digest passed in `mdname` must be NULL (i.e. it
effectively behaves the same as above).
/*
* Returns the number of bytes a receiving pipe currently has waiting to be
* read. The returned value may increase over time asynchronously but will only
- * decreate in response to an ossl_cml_read call.
+ * decrease in response to an ossl_cml_read call.
*/
size_t ossl_cml_read_available(QUIC_CML *cml, QUIC_CML_PIPE pipe_handle);
* this, applications must still ensure no events in an SSL_POLL_EVENT
* structure recorded from a previous call to this function are left over, which
* may still reference that poll descriptor. Therefore, applications must still
- * excercise caution when freeing resources which are registered, or which were
+ * exercise caution when freeing resources which are registered, or which were
* previously registered in a poll group.
*/
#define SSL_POLL_FLAG_NO_HANDLE_EVENTS (1U << 0)
for (i = 0; i < nevents; ++i) {
process_event(&events[i]); /* do something in application */
- /* We have processed the event so now reenable it. */
+ /* We have processed the event so now re-enable it. */
SSL_POLL_CHANGE_chflag(chg++, events[i].desc, events[i].instance,
SSL_POLL_EVENT_FLAG_DISABLE, 0);
++nchanges;
}
- /* Reenable any event we processed and go to sleep again. */
+ /* Re-enable any event we processed and go to sleep again. */
if (!SSL_POLL_GROUP_change_poll(pg, changes, nchanges, sizeof(changes[0]),
events, OSSL_NELEM(events), sizeof(events[0]),
NULL, 0, &nevents))
Firstly, the `SSL_POLL_METHOD` object is defined abstractly as follows:
```c
-/* API (Psuedocode) */
+/* API (Pseudocode) */
#define SSL_POLL_METHOD_CAP_IMMEDIATE (1U << 0) /* supports immediate mode */
#define SSL_POLL_METHOD_CAP_RETAINED (1U << 1) /* supports retained mode */
The extKeyUsage (EKU) extension places additional restrictions on
certificate use. If this extension is present (whether critical or not)
-in an end-entity certficiate, the key is allowed only for the uses specified,
+in an end-entity certificate, the key is allowed only for the uses specified,
while the special EKU B<anyExtendedKeyUsage> allows for all uses.
Note that according to RFC 5280 section 4.2.1.12,
=item B<Netscape SSL Server> (C<nssslserver>)
In addition to what has been described for B<sslserver>, for a Netscape
-SSL client to connect to an SSL server, its EE certficate must have the
+SSL client to connect to an SSL server, its EE certificate must have the
B<keyEncipherment> bit set if the keyUsage extension is present. This isn't
always valid because some cipher suites use the key for digital signing.
Otherwise it is the same as a normal SSL server.
=item B<S/MIME Signing> (C<smimesign>)
-In addition to the common S/MIME checks, for target certficiates
+In addition to the common S/MIME checks, for target certificates
the key usage must allow for C<digitalSignature> and/or B<nonRepudiation>.
=item B<S/MIME Encryption> (C<smimeencrypt>)
-In addition to the common S/MIME checks, for target certficiates
+In addition to the common S/MIME checks, for target certificates
the key usage must allow for C<keyEncipherment>.
=item B<CRL Signing> (C<crlsign>)
For target certificates, the key usage must allow for C<cRLSign>.
-For all other certifcates the normal CA checks apply.
+For all other certificates the normal CA checks apply.
Except in this case the basicConstraints extension must be present.
=item B<OCSP Helper> (C<ocsphelper>)
For target certificates, no checks are performed at this stage,
but special checks apply; see L<OCSP_basic_verify(3)>.
-For all other certifcates the normal CA checks apply.
+For all other certificates the normal CA checks apply.
=item B<Timestamp Signing> (C<timestampsign>)
The EKU extension must be present and contain C<timeStamping> only.
Moreover, it must be marked as critical.
-For all other certifcates the normal CA checks apply.
+For all other certificates the normal CA checks apply.
=item B<Code Signing> (C<codesign>)
The EKU extension must be present and contain C<codeSign>,
but must not include C<anyExtendedKeyUsage> nor C<serverAuth>.
-For all other certifcates the normal CA checks apply.
+For all other certificates the normal CA checks apply.
=back
EVP_SKEY_export() and EVP_SKEY_get0_raw_key() return 1 for success and 0 on failure.
EVP_SKEY_get0_skeymgmt_name() and EVP_SKEY_get0_provider_name() return the
-names of the associated EVP_SKEYMGMT object and its provider correspondigly.
+names of the associated EVP_SKEYMGMT object and its provider correspondingly.
EVP_SKEY_is_a() returns 1 if I<skey> has the key type I<name>,
otherwise 0.
will call the callback I<cb> and supply a set of L<OSSL_PARAM(3)>s describing the
capability. It will also pass back the argument I<arg>. For more details about
capabilities and what they can be used for please see
-L<provider-base(7)/CAPABILTIIES>.
+L<provider-base(7)/CAPABILITIES>.
=head1 RETURN VALUES
=item B<SSL_DOMAIN_FLAG_MULTI_THREAD>
-Speciyfing this flag configures the Contentive Concurrency Model (CCM) (unless
+Specifying this flag configures the Contentive Concurrency Model (CCM) (unless
B<SSL_DOMAIN_FLAG_THREAD_ASSISTED> is also specified).
If OpenSSL was built without thread support, this is identical to
enable trace output of specific parts of OpenSSL libraries, by name.
This output usually makes sense only if you know OpenSSL internals well.
-The value of this environment varialble is a comma-separated list of names,
+The value of this environment variable is a comma-separated list of names,
with the following available:
=over 4
return -1;
/*
* Get the first byte of the buffer to tell us what operation
- * to preform
+ * to perform
*/
buffer_cursor = consume_uint8t(buf, &len, &operation);
if (buffer_cursor == NULL)
/*
* the context_string parameter can be no more than 255 bytes, so if
* our random input buffer is greater than that, we expect failure above,
- * which we check for. In that event, theres nothing more we can do here
+ * which we check for. In that event, there's nothing more we can do here
* so bail out
*/
if (expect_init_rc == 0)
* EVP_PKEY returns:
* 1 if the keys are equivalent
* 0 if the keys are not equivalent
- * -1 if the key types are differnt
+ * -1 if the key types are different
* -2 if the operation is not supported
*/
OPENSSL_assert(EVP_PKEY_eq(alice, new) == 1);
return -1;
/*
* Get the first byte of the buffer to tell us what operation
- * to preform
+ * to perform
*/
buffer_cursor = consume_uint8t(buf, &len, &operation);
if (buffer_cursor == NULL)
int secbits;
} ML_KEM_VINFO;
-/* Retrive global variant-specific parameters */
+/* Retrieve global variant-specific parameters */
const ML_KEM_VINFO *ossl_ml_kem_get_vinfo(int evp_type);
/* Known as ML_KEM_KEY via crypto/types.h */
/*
* Formats are case-insensitive, separated by spaces, tabs or commas.
- * Duplicate formats are allowed, the first occurence determines the order.
+ * Duplicate formats are allowed, the first occurrence determines the order.
*/
do {
if (*(fmt += strspn(fmt, sep)) == '\0')
if (!ossl_ml_dsa_pk_decode(ret, pk, (size_t)pk_len)) {
ERR_raise_data(ERR_LIB_PROV, PROV_R_BAD_ENCODING,
- "errror parsing %s public key from input SPKI",
+ "error parsing %s public key from input SPKI",
params->alg);
ossl_ml_dsa_key_free(ret);
return NULL;
if (!ossl_ml_kem_parse_public_key(pubenc, (size_t)publen, ret)) {
ERR_raise_data(ERR_LIB_PROV, PROV_R_BAD_ENCODING,
- "errror parsing %s public key from input SPKI",
+ "error parsing %s public key from input SPKI",
v->algorithm_name);
ossl_ml_kem_key_free(ret);
return NULL;
/*
* If outlen is specified, then it must report the length
* of the out buffer on input so that we can confirm
- * its size is sufficent for encapsulation
+ * its size is sufficient for encapsulation
*/
if (outlen != NULL && *outlen < nlen) {
ERR_raise(ERR_LIB_PROV, PROV_R_INVALID_OUTPUT_LENGTH);
/**
* rsasve_recover - Recovers a secret value from ciphertext using an RSA
* private key. Once, recovered, the secret value is considered to be a
- * shared secret. Algorithm is preformed as per
- * NIST SP 800-56B Rev 2
+ * shared secret. Algorithm is performed as per NIST SP 800-56B Rev 2
* 7.2.1.3 RSASVE Recovery Operation (RSASVE.RECOVER).
*
* This function performs RSA decryption using the private key from the
unsigned int mgf1_md_set : 1;
/*
* Flags to say what are the possible next external calls in what
- * consitutes the life cycle of an algorithm. The relevant calls are:
+ * constitutes the life cycle of an algorithm. The relevant calls are:
* - init
* - update
* - final
while (PACKET_remaining(&vpkt) > 0) {
/*
* We only support quic version 1 at the moment, so
- * look to see if thats offered
+ * look to see if that's offered
*/
if (!PACKET_get_net_4(&vpkt, &supported_ver))
return;
/*
* Creating a a new channel is made a bit tricky here as there is a
- * bit of a circular dependency. Initalizing a channel requires that
+ * bit of a circular dependency. Initializing a channel requires that
* the ch->tls and optionally the qlog_title be configured prior to
- * initalization, but we need the channel at least partially configured
+ * initialization, but we need the channel at least partially configured
* to create the new handshake layer, so we have to do this in a few steps.
*/
/**
* @brief Parses contents of a buffer into a validation token.
*
- * VALIDATION_TOKEN should already be initalized. Does some basic sanity checks.
+ * VALIDATION_TOKEN should already be initialized. Does some basic sanity checks.
*
* @param token Validation token to fill data in.
* @param buf Buffer of previously marshaled validation token.
}
/**
- * @brief defintions of token lifetimes
+ * @brief definitions of token lifetimes
*
* RETRY tokens are only valid for 10 seconds
* NEW_TOKEN tokens have a lifetime of 3600 sec (1 hour)
* at least 8 bytes. It means that the length of destination connection ID
* may be less than the minimum length for HKDF required by FIPS provider.
*
- * Therefore, we need to set `key-check` to zero to allow using destionation
+ * Therefore, we need to set `key-check` to zero to allow using destination
* connection ID as IKM.
*/
*p++ = OSSL_PARAM_construct_int(OSSL_KDF_PARAM_FIPS_KEY_CHECK, &key_check);
/*
* Its also possible that someone is building a binary on a newer windows
* SDK, but running it on a runtime that doesn't support inheritance
- * supression. In that case the above will return INVALID_SOCKET, and
+ * suppression. In that case the above will return INVALID_SOCKET, and
* our response for those older platforms is to try the call again
* without the flag
*/
*
* Win32 does not support socketpair(2), and Win32 pipes are not compatible with
* Winsock select(2). This means our only means of making select(2) wakeable is
- * to artifically create a loopback TCP connection and send bytes to it.
+ * to artificially create a loopback TCP connection and send bytes to it.
*/
int ossl_rio_notifier_init(RIO_NOTIFIER *nfy)
{
/*
* Note we _dont_ take the keylog_lock here
* This is intentional, because we only free the keylog lock
- * During SSL_CTX_free, in which we already posess the lock, so
- * Theres no need to grab it again here
+ * During SSL_CTX_free, in which we already possess the lock, so
+ * There's no need to grab it again here
*/
if (oper == BIO_CB_FREE)
keylog_bio = NULL;
/* Make sure we have a global lock allocated */
if (!RUN_ONCE(&ssl_keylog_once, ssl_keylog_init)) {
/* use a trace message as a warning */
- OSSL_TRACE(TLS, "Unable to initalize keylog data\n");
+ OSSL_TRACE(TLS, "Unable to initialize keylog data\n");
goto out;
}
goto end;
/*
- * We now have the folowing lists available to make a decision for
+ * We now have the following lists available to make a decision for
* which group the server should use for key exchange :
* From client: clntgroups[clnt_num_groups],
* keyshares_arr[keyshares_cnt], encoded_pubkey_arr[keyshares_cnt]
/*
* Set groups and prepare generation of keyshares based on a string of groupnames,
* names separated by the group or the tuple delimiter, with per-group prefixes to
- * (1) add a key share for this group, (2) ignore the group if unkown to the current
+ * (1) add a key share for this group, (2) ignore the group if unknown to the current
* context, (3) delete a previous occurrence of the group in the current tuple.
*
- * The list parsing is done in two hierachical steps: The top-level step extracts the
+ * The list parsing is done in two hierarchical steps: The top-level step extracts the
* string of a tuple using tuple_cb, while the next lower step uses gid_cb to
* parse and process the groups inside a tuple
*/
}
/*
- * We check whether a tuple was completly emptied by using "-" prefix
+ * We check whether a tuple was completely emptied by using "-" prefix
* excessively, in which case we remove the tuple
*/
for (i = j = 0; j < gcb.tplcnt; j++) {
/*
* tuple_cb and gid_cb combo ensures there are no duplicates or unknown groups so we
- * can just go ahead and set the results (after diposing the existing)
+ * can just go ahead and set the results (after disposing the existing)
*/
OPENSSL_free(*grpext);
*grpext = gcb.gid_arr;
x = NULL;
}
if (x == NULL)
- BIO_puts(bio, "<UNPARSEABLE CERTIFICATE>\n");
+ BIO_puts(bio, "<UNPARSABLE CERTIFICATE>\n");
else {
BIO_puts(bio, "\n------details-----\n");
X509_print_ex(bio, x, XN_FLAG_ONELINE, 0);
p = msg;
nm = d2i_X509_NAME(NULL, &p, dlen);
if (!nm) {
- BIO_puts(bio, "<UNPARSEABLE DN>\n");
+ BIO_puts(bio, "<UNPARSABLE DN>\n");
} else {
X509_NAME_print_ex(bio, nm, 0, XN_FLAG_ONELINE);
BIO_puts(bio, "\n");
/*
* 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;
* 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
*
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.
*/
* 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
/*
* 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
* 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;
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.
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");
};
#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");
Input = 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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
EncodedPrivateKey = 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
Input = 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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
EncodedPrivateKey = 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
Input = 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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
EncodedPrivateKey = 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
Input = 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
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
EncodedPrivateKey = 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
Input = c60d4aa71649960bedcfd1ba225807739b82f912425f50d32153167826926e51f8ed961b5439fcc7a3804d55ff46d5b873e13a0c8ee7606fbb21c5e121fb8e60377ec46ead034bea9c44a685e7a588875e5bc2dff98e5529cff460ef5fd1ede8d4cf2b02e9a537887028150d0d79ee6a0ef2f0d5507c42ad1d788a75899d0b7243f7179af88cd6b7fa41849f1f49f782eb0bb727a9b0fd51ebe3f05ae80fe7259aac42c8b0a70b7b74da297c03dc1f06c44edf72773958e5a0d38aa91c35e71b27155e875f3378ad6a2d064d6d7cd56689b1a42dc4a26ce2cfc8012e147940980403bb6bc164f3a0f9055867efd0bdd3ff4c36ad8165aaba00c8365d217d4bf208312f3ce9fbd7bde30d6e4d3f1a98b0a20f947d03b45f3a25ad481fd1dc271a0cafdcc04f02d314ce3da2e1aeb00c7d3a88ea3ea2783b75e16768f0aa122db015492b0ac9bab3d3f85fe6d8e32cfd66fab8e3138402f690bfd3a5fcf09ca27cfaffca96181b8a906a67d93303069ff91c2e3e6cb26c5608bb04e05ddeab18ad3ff916bded7e9e27c99492b7525f95e02833ae827c48b1f4ef06b77633a66ef85520768b64641c5b1b3bf319c390006a026b3a77331c530aa5a86d0e329d4c7bd729992e3c574876ad9a29d79b09018e850e2e63d51f75861af33e6acbdabb722d41312294a9b302aba8e3f04ab1f04688e373f86e3753d84070bda2feabf6b94617cccae0fd427f90f43d3b686fd772292fe1c93f355fffd2683eb8dbdf171b69bb6a5c929b7109744f542a21539e04151ac7e46f5d4b8b151981d4860a366d3500c3422a2bb5c24fced0221e1b84b9e5b587e9bcb87220dd92c127be67a396ac18cfd3470e715ebd320fa07097122f696ff81923e4c2d3c0310bb8b70690dabee4e17efe6d871b32eeaeebb448f7d65fd60e7a3f32cd07e61948be330179dfdab4d748d01694d64edabfa95647a21ceafd5261cca24a0548a135ca1f7c262952bee7a291857062d3546dea97cd745050121c82a73ec9c0095847e0563229ec36046ee1564ef3747b49812eb2bd015025f077b56d63500bfe523689a6be7b886fd8aebbff18cfb6e4ca18c2d0dcbdcff8fb7a9e852f81ffb39245abc6ebb9f58a28beb15942cfd5f797dc867f7a855a3e6ecbdd9a8123ecdc30c7240d44dffcbdca05bb17d524a791ea32d60c65dcb6ae3ae3b724ae7da36b88d3563a63f4c059fc83c97ad79602cd7701749f92c02bd65f505f407b64ab3f8417d3de5631804eeae565af62d7fbf95bfe25126aa2494368bab7afabc23825d6cb03151222bec05b09a3fabd5937b7a0ff17246564e163d049e0724456576f250045d13d99aa07a5f298cd76ac73f69c3547ec9a344998dea3448a96480ece462922f76f1fab68d030796bcf570298013001414ee238a8ac4d7047514ebd5c3e55e051846403acbd3d7a581c1d53084eef20edce56c2f50443440ad0fc77a955c1e5c4d610cb45f43435b1a66bcec638ce88126ad88bd1b0d10cc5aa23789d5c8f4d9c63cf796e1ee6f7fb309855f332a648c731775edbcb4968592f1f633a3fc74bc5fbfe9c0e74d8379fc56f869e63d8db3b9ffa92e9b470e668e10acc1c7606839f2ec0abd02629007e3b1300e558e5afd136f949eb1e6ae56b5a8c21d15ec4b62b22af89618501c1af9992a3f002242288fe01140e2476ff900afe32685afac7baee893bcfaa54c1bcae65b2c9db04b1e17dec3821145daa041150f3282a500ca46c535ee47ec02b1a1639713354bc4ff7217ec169a63bbf26a26b2c712b02c76b56a8ed0535e3ee1c3f118f2a68f9c699ed8702f3eb30328118922b15b8399a3fca410dae21e7d762e6e45c8de7ff023a75211e42d1acf1d8f506223cb281fb9615b2de1848ad674236e768a0f315041daab6f491195453081535f9235f6d215e5750226ae7eef4df26469cea1d0541e7932ad917fb360f4a9d5601126b1c76bdd1696e6d59749635b844c9d416a12d0eff4c4a9e7f40860b047ffad7bce7439ef0fef50cccbdcc848b02f66bf67f2d3cd795242896c5f2cff82864b1d1f00974c9142d0b0ef2a8d00289238e822d352a924c689ab15e6e5b201ee7ebca1253b9964a04efb4d7af21c6ecdc03365b4275d72502523d562209a316a88163ca33ea279702309f8c2373514d459a5298ce6999571072852d996fa8421fa594069645f034d3
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
EncodedPrivateKey = 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
Input = 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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
EncodedPrivateKey = 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
Input = 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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
EncodedPrivateKey = 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
Input = 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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
EncodedPrivateKey = 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
Input = 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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
EncodedPrivateKey = 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
Input = 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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
EncodedPrivateKey = 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
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
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
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
Ciphertext = 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
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
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
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
Ciphertext = 1feb4f1d63f08052045012a21c33c2951b16c4b5ec02c00093d54ded6f94309e44d558787273bf593ac4bd77a56fe4dc30a54eb68a2f473c31c239ba18c9ca489cd50611fcd3be42f6f5069facdbcb7166a64ba7c06ba953142e5914ce20ec69038895c9860e69ce6cc3dac6c1b28d30fe83487d40591995f091d4ea116ad2675e32bb83325b7f379449dcded935027120d01ee43b2208deba910ca7ee635c5b928e5f6167307c813c8e7034096878a2915ed2d20898d8412ae61a72378a4eaee2f227ad5467d04ab884340cbfde2400cbdbca7e07a2f14016fa9e403a2b0ed27ad1dbb3cc492f584a6b5a7525baa628303039f69cf1c1e4db920ef7882de21eda5d2bad76231c88a061fbb2829fe93149c69204e2e783009beb4188fb876a6f869eb11b1c32c2ef15f9aef62f699f9692a502a4d87e5a497097ca73f8fddacbc03dd40a53abf267f749f9ac0f7b4ce9417a0f5eafa91fef75441ff7c887dc2eab2336fd257d4cda373121af864d4707fd20965e063fae456f0bef8f587bb385f8e5c96592c9b7d6c284197ca1706e1961dadf16a2264f74be425ce117a95dc9466474c856adb20931cc920177dc3f8c93d2bb3ad5f7c5517f0b7d141b87a8c287207e64158934766c8845ff0a480da124716b11d0e257206f68f2d4334e8e260895ab83e218e032a35f8d792be7b413b2679f8044e1c0ff67c474ef4c9b7e0dfd3d9bc4252fa81922cb146417dcadae7d7a7ee96e13bd480c96a4314f31fea83eef588bbf1435528c51eaf05cee2f193c3fc234d695ba32546ec77a16b1ea8047498125f2bf78dc9510812be57fe0ec77bfb3e28f42a4d15c2a2f0b54aae023ada92395cf384a1524a24e36ee2e69128fd2ab78b5af77d28c2e9ccd6c706315d46887db0c0c4f28666da7437489e3b245a19fcee97f187327a5806d35889e63940b19249d627165727f66f50aee62dd9496d6493c1f01ed0091e985048c2aa85a3b25a4f90f6e9f9cf67d6961ca246d763d3437ad64e7bc5c58b10117a66c40be088c58a27be4bc1360d114e61d002e271c4806b872f5ef7127217d5af6092e4aedf8b5c40198f266f9e10c560d4873668d58c912ec7ec18d27249f5be604a82d50421d436a3230780419bdefd10f049f404184b3530361c5c0644c3205c32fd451f6c6919487aefb12a75c821cfddeaa14c2abe20db3ac57ae0ee8ac4567db2d1e2d0920fa036351e8bcadbc14ab73d0868df6ab06e675ee193722f93f64a5344bd70593c23647152a81acb4d1a08b62b5f0b2669210d5d7845248d95fe9ccd796d73e34af955d1c94edcd2bba91be211cacb0884a90eab8a0125130ae65318f5419810f4df129c8504def662df4879e2a8df02d881e9990148065942c0d52865425f3239c4a4af51eeb85e1baeaf647e794b9fc04ea16eb328b8b1d0550e5dad8bf6248782b530735f8f5da40cf21241a2d62951cc9e894a339491f64b78d436c635eccb855d3a1f7d64f63f23023620408df6b3d190e7965d219a0cabc0933f7d50d9854e4d4aa7a5cf67b37e0475241a5af8e5000d117ebcea40b526c5a669dea1760d7fc30519148649fb00ca434f2cd84862a2755a99531854cdc847b7d5af3ede653ad6959f49c921d4a8675f7f3f51416c39e026488c297d844a8429caab43671093cc3ebf8730a18bae06f10ff8047cafb8d80edd7630c95d008cefca78f2b08ccb330d36eb33b18cf47bfbbcd0e2f81daa87160f421603d10409b8eab53f1561623f5167dafccda4f9a4e6504a0b5e67ab5dcfae98672f4cf62e4f152d09f2c64dd81e3476839aef8538a86f3b616ce55adf1dfe9451ca48acbe210c32ea1cc574730b37d4747b580c66820caf475858b4b6ad0eb7c06ed56b8f16f83595ee3466bdb8aaba3bbf35a177fd6645610b9dc238571e81b27b94757c9004a4c512cbad25730bc6f85255ffdcd052447766219e667095d4058e5f0045e16c0fcae1aed8dcb7c25fbcaf29a71a8abf72c398a61b1a57bec4b11a8c746bcce3ef0f82b9b2bd702d92a7fabc1efe0065e662270e1ab664cb1197f00983f1d265ff738f63b93d5d95aa4ddef2ea3f473440ce7ca1558b28fd68ee09c7b97e9d4c2052fb1dd657ecf09a2f664de0902f23bacab5d64bd449a0ddab34d4c0695c67ff5f6e11044a0db15d2d19a9ce2aeb818f0ecaf8c1522276521b0193f76e2
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
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
Ciphertext = 021a27d9ee3c76b205152ced9c68003eedb09245954d50316a14a3e1d877bd9d6480d479265cf7a693e77b8761f11a09c1c30d2fa5f50497ae6a4d2afa3e61b0b7fb4b3504024763ac6c10fc2e6bc77dda7fd837ce115b84b1d0c749e8e4a961d3e7de1bf6b36741be282f9df710b46410df07191c3207dd9e74e8c4d43e3c75607966a1894e86caa95cba51a9c3289b00ad0fe59c034099b822654caec138a1b06635d1de59fd469ca3e928deb7873cc3dc2fe03aa4b5729f91b940f01ce83ae5aedac13d0a961cd9420584346346955780974ef21ccbe3208cb019f050fac0b80076b48ac6c0f3c2aa2dc3a13b914ce5343c7a140186728bb335a47515d361466c2d78f3fc6250f13a4d4fe6c8a587512700fd5272c9de73eb698045708e18b86d6b6692e3afa1b73e5ed55614dce4b8e71ba9dab03a246b1469c617f5bbf3e502632b060c7c17145ba7df290ec310661480de58a56cdab7a2e5a8e298746eb1b7b8703c5c650456c567056451e209148059a59af315540e448c0c6a7f48df9e22f373aca8be4df3bc9bda80e94a92634a612afdbfced39194e124c07748328698cc21f39de459b4cb08c6c73e80fcb6d0d86adbea470a207b0575f180ddc0d658d7ae66b2166cdecdee265a02e56bc4880797f0fe09c081788f5bb507db2406f37a2743a3c22ee0caa51ab62ceccaeaa9e189ae412f8dece857b0faaf61f81f2bd968d0f6c9048fca287f74d954e48ecf05806a695d06bfc66ed8b5297899dd4b3942424cec559c33ef0da1ca083e7eea98585f89003ae0ba98fb3f51becb80094ba0091f97b3a32c635a12308851e070f4a94502be51fc6f4e11bb7803cfbee43135c82bdd3bc82d58383636eee387d2c13c1866982d7c4f15f0be3bf5f87c8fa5d43daba703c73135ff3aafe4cec43abf9c1bcd16e56d6df85fc38dca4d09245677ed75b585722a9b20fd5ffe9d0436b3fb592ca6982ec2b96a8af589296b0b0ffcae14ec9027d4815bb9b933470a357d0afe5aba5010eb0d93a0fab2c28f84d7091e607505ecada258a551238a2ff68621bdf5ee1246c27d6e8673f1b785f7abc9b88310e3c1ca5e266f2c974d1c88a31e27a102330f924fb3713adccfd09c4415c1773c8da37e4e18ef274b00d462970873b54ad108f588c8bee6a7b4cce157109aa04ba0daefc9b5119b3ff9f70d4728574cb9f57573f41760248a8a8cdbbf7492083cfbf585c844f03ee2e08da4a08d04717b6244b63bbf80d0f4f0477f94de7ae6b2883388ba05b27ffe8a497541f012f16bd9ec50f64cd0d14e1a6c2be8c77ffd39d1d19ef402b46c0c41718ac406acb1b71fc044b1f93a4fe98fa8a0bbf09caf9dcfcbd8e8ecba42e4bbac9bb5de40f089b86ef71003b92a3fe385bfe603b098185d05f43819f8686b4f4e14a75463f2026baa66789edc52610ca8d3d5b11f10672c70c80effd7ba0352b2079de6910221ed21c487a7367cff076e84e1cd3ec625065d7a9b8ce4eed9d91c8a72b16a4a50d96b8a00921695a00167b53471e79aa445c656fc0d41da64d836ac21a34be767c514d1571e500fcea435d1a1d59a6d07140ee4d1a4014cfa8a6f0be9c334ebdea053c842a06124dfd165232c1a2ce63babadd8a56fd78ffbed64b63bac3b49e5af81c746253bcfdfd045deec785e0e272ef8c7151bcefdad6fa2bea962d621abd97f9b5cbf1eab792139d16b51e1f732326a5e02926817ed0bc4c6c4680e42e7d5847d6e0195c402e59290ce8a8f040a70980eac1a0bcd3867ddc0f2de9b204514011491c8dd63a371d331b2edb870e76e7ec5b27146a0097b969a6b157d00f66ce53b71598b71869063b9a29b23f3623837385571962ac29ac868301e2ec0643bf639b074c8a28f0a66acbd0ad77e5c86d01cabd8fddd77a4fce6185768566a6d98e679986aaf9978c49189a2ef1a218977f4d2c34c5027188d816cc918061ad13421be77fb910ee5aef5e159fb74169d7763b446e523470409c4fc4e76aa6d98f120013d4af284bb0a8e9eecff71b8544f9d3815062173ad6d4e9c4727cd6395bd3da54237501c73390cc5c48683d780efec478d2a15a40a5ffa3455f52c092993859fc8ff9c1ebb308ed03b5b88f6de341c3be3ddc96f695d68c1562b85806e162f1b07c5f10a1213f8d85f6b7d92e06d664cda2ddba47b93e2922d30c3bb110405fc7dd9213812
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
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
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 = ea53a046a53b7e3298d588b38c403e67b5620c5c73a438ab7357660362ab3822b5e774a9dae973c83a96db79b550dc176f9b0182d37f12118bc96a4982249a352219a110704e4a0ddbe545e4f55cfc2c50d54cac33ecb6fcbb3ac2a7bd4e41282476797a3c24f4ac4f60c33da281cb1313035c9c804d755267894d867469dbfac7be52a34f55c0dc642354e52967b043a0e0167c806581b51519e04af675147578c79f492da3ac0748352c6e5c7ff462008cb42e9817155444b214c3b93ff3ae7d44b5c2b659627a833cc18ccfab4fe6d6513dfa67cec499cd7a0d052a5f9ba378bff75033e69ad053c04b74c8cd756c7cc0bd494129e069cfb4358324066415bc2a4d1cb8401867c9954aa8a33f929ca279696cd515bff0abcb6c8692aa9cc076861e2bf27ec360983f775e9f166964d0c43c380366f19d3f868a7e038752d30e389c0c057b6d93a9ae64746d5b3a146d31269b94c7a753412be68d09d820be6890e5db1ec3eab1acb14cee8a317ee7ba0eb6027f13a540b07c12cb1164bc7d295c16eef4c8d9773bd2d32ead764f58fa48abc2a5491bbe00e07965017ebf40c973343704112bc90849d219c70b028ff3769e720c4599098d172674358bcaa8947ba6b874e3d94e623122ffb3984a0b571632be1c540cc5da45ed1c57da1054abbc4456678249a2589544c3dfdb6330ab35416ca49c8046c9446150660b45e05b720722bf390e307445dd8a3e23253cbf633c8ccb098976a68e481ee86b86a32865d9caaf385842cdd071b0974e807710e2b44c598a4a36bb2af048b0fd30bb6c64a539513ed2a5a9c6cb16129cb88d6bc62389b4846a2a0afc532eeb0f055aa85ce7b43f8099cbf194e664c59e683e535ca809d40f72d4a3d5e287b5ca3880d4af1f1523b60c8f811a17b2881602ec0393d54988d63a1620a48ab25a5336b25ca25d5b21425ee54673062020f065693665c68399691748ed8c2b6ea47b89391e7dbcbb3e4bb8bc0972916aa0ee5b90292b23618c5e9a68bff8476fec1c7e382b1cddd45069263a507c44b97663a9c8b4bc690c89d25893c4caca0caa7633bc66f449bc06603fb747843b0a8ce11d46ca100b3243a8617904a2ae48db08ba24bacd5b946cc96b834491a246850c44a0f049bb3e099b3353b28c3889bd4520ce75749b745e65e6442d970e917362cafcc9cd1a6194d9ba41f29feab98320e10234c1b0fa367f7c3a420052a9ace9a0787bbc420832db814e8f86804fb74090146f899a624ee9739ed55c40b3716724b8a8164b8b976130d89e15dc24e2078f24a953b2781b7d36a12334356a6998870a0128ab5152a89ddc84aca3475f8cf849bd762ea7b23bd2d743a9d3a9a2c2ae4723b5c1a3b5349a2d4bd2907d89ab8fe80624838130697bb1d45f873a3416164f862630e96075fbc5192be26755eaa1f33026a1f201a05b6b57ccc83fe9c191b13016a921532c4558b44ff0a26c864c3102ca921c299b38199f7162938387c3598362e5f616756bb5aad68c68e0a34ce96684597712341f391ca6696538582ab0dbd532c7757b5b24b0413145395123f0c4668cd538782b0f65ecc30b687efa78183de47f53b73831210c513c54febca5ddabceea01649d9c6588d68c05e93cb6959fbe348468cb6e7f482d2b0507a097625325a7ff5740086bc203410414845a177c578698b313842dd2737d79806fdc8aa4ad8b91b514b6aab60885a49be68ba60d05891dd1cb47c1850b0105ec15a95c93136f22a170e346d2256a0cea672941335423cde35492967759b4317981c34fb0d759a2b08aeb411c362b2630c4b8ef342cf844206d7a5a3934bdfda95ba9fac912fb1844a0bb62041868ba0e3660a5551951b39880eac2959b5028eaa765492416ecf7a05102450eb20eb2a28be460972066b41ac87abcc28b38a7c92d91779e0c7cc8b42f107b48269521edf0c558a1b767536d295c3a7e60b9de6a8f299563be7c4d33d33940234af8c7764b181fb7b5af1dc88e4e830725533656520af7344e4ab40f6df34a90a898c672b854021d0631c1b1e9999d8176b22a5ce829a240642e19472e635a83c5086f87872f72a62e5fa038481a6861141227666f9203675db45a444c6310518d86a9221c9b6bedd753bb7914f7995e39031963ea056536a96c9b14598c95652091dba9210168467d7388b73770aa905052645eaa877c6f8a45acbb775d080521479314e214a5217835667dc2cc67dac17b0103b1049a03585b30631c6dac53b6d4056e5877786b295fe94c8804b57a027609bee938a8812666d12345e04c92469463443fad1c2188c951cfc6a06c3b8c3ad8856ef26a67b7841428a1f5b69a3fb82cad843a55645b78219d6de824701b0b1f192d4f816f45032b1cd5b465d33b3a9cb2fb04cb271a3cc74a8bf7ab6ac7a00e8ce6a0486c660680219c6ace0917b31595584f4756c9c5273ee36c37d25d5da146e57613edd34795b9cf61bbb7ebc441d575631215a87c4070159136348854c297cf3ca44fb2814448e30eb2c555aa2393bee966ceec0221a278f048aaa6d09b1d801aa0fb369ae4480f051329390af222712c61a59f98a31a03ba90c1a6c34c1c98c0be7bf59fd717ad9894786acb1cd081405c66a2e79a1fd77cad853761461c99218aca3cf4920703654fb9529c106f41a78b259294709bbc91679d0442bb383c28d64683ebdc7b94f4592c8ba2c1126c9dba9377040d3a124176fa33a3905cbb96764bc89a69480b74e38f558b422ef22e390bbc76e048c01129c97c26125bb2f86c4bcd274816265d8c41167223b0a22406d2a193ad3b1083b0cb75f9542e55b9aac02845f59618b5aa580b5b2bb44c192a906ce61b8c368278618d8ca8409fc02bb9b097acb208e3c2a9b651a316b70cafe6b9bdb32ad794b4f018b66ce55639e5558f5a3990475794bcaa06f17093d490fa583e6fd9596b40958359a30f813b940b1e1e4223d3857cfea691eeca944de845c2fb502e35a5f1a3750454593fe1c41662a3b3da407aa269c43167acc98f5f3c662d6177d3594d0cb800087c6a525c586d86c12e941b046625d90c8ec6dc8a5c546abb19a0b585aef39379db926691124265103bbb49cfc4e9100c803b4ef68a904273a6c899e48609bca003bcea9cf82203d52b5f9b65c409ba9503b3b16c7077465aae45d2cd4ada79ca43a9e99a124b7c9fa24a323f6c6bc18b81d9a6161191561f3776740b539479582a46bd913ad73e0900000000000000000000000000000000000000000000000000000009ff3bbc6c725ac014b798e2d5146532f55ca1f580b27b436aafd30679eb4bf35ea63afb095b03165e6f3b9488778fdd771036713df7b893ab8777554eb05f64
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 = 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
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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
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
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
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
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
Ciphertext = b0e578cabf9deab616e52934955f42eec74bde5ea98acb022c427e08232142dd08f9120eefe5f455c8f120e672cb68f3a146c3aa457b637d0901fe2b4cd45e8b208e06823b8aae09778cd00fff5bed5232d219a2c33645f2dc30593e591f697118a8472eadbce05c9fbbc5d4b717b880065173cc0854182555376dbbe39194e4204067358808c890e5fe96028921fca344e3500b615f2201a1c4e4d13dcc889cc9b1ac72429074c21a52f4c78ea2c467d65cd2c9ed682f21f31b27af4eb5cad33dd633185bf32e726fe6e57b03168803f693bd85f5a9f2c3ec6944e9ded2b8f3270a89139ce50ba6ded6bc6b0be8893f44aa5856acda60dc1c4c0834d45574ecb6183d6e59a183c0125ff45c718be2cf85b5ce6daae6e37336ea63856561f1bd4404df725d5ed9263038d1c623b2e1aeb35924b79de474407168834891af783fe5d83a631eb14d7cfa949d698ffa45e7d8c46ed4abf75cc666b78526c9b95ebb2920c77c56227eae6c893b57f9f463ff2ebc9acddb2f7ad543c5b2259047a4cc87ad05c08bbf02e8bb267bc490c4b67106fb598d42135c927fef3397f4c3f6838776787f23a9759dd3214075e79eb3929932becde84e82c257e4638a19e1e3312cfe09d4ac681d653d749c8fa6efa6dac35ad59399f1e233540fa354681ca55db90007039b7e504e2e4082aa3e4d672019741aa02a281454d4e1c73a1c7d0b5449c2e143ceaa3b18cb9a74a89f1ba74963dc5dd4155a356211277af3a267947700a2cfd84a605ab02d37bd6faa8a26b50f7b3d9bdc79913272c31dcc0f0183d05933a9f233504ddee2dd851529667ec5174a3d23bfca197538ebacda36bc29ca675384c0b3f45e4f67fb66d8dd4aa57b7da50ead391e6b663af173e7f4d46139f5d0f4cea84dd32e4e718967c6b93617271224f2fb3a1ca5febff5f26c4edc60e9acdd9e464ebb4571dced645814e1038a50515a7e06501adb2de19fec4119dec7548c41097964c3151226153ccac24abd1415579ba1c37c805a5827332d97ba90713829fb30b7b09b275d75bc10d4a26b33980a0ccd4b00844d9f379551bd0170ee895286526ea9625a72b6cb8decd9cf18e57262f8102a025025e8168465a65a7c7e4d5fc8742781acdc16171085d51dd5ec9f4f71f58cfaf4557a55d07e7c164ccf7eb427145c7f9a800e9bd9192ec0f74d19fc17d3881b1d55e8600aa55abf78fd1e226d9dd6e8da2bea15712f5f43325d4b9c083d6e37d35c043f2bc8c796ade072555263331bee7fffa54e2099135ea363575847abb770322376cbfd3f1b7980a1857c55fc82aa80bdcd701c7b7d66221f08492efb5438a04d041b485bcb61f6fd306e96cfe758d99ca1cee70b200eedee86145fe37ab7aafcfbb2df694361fe9923e754187c3277cc895c4a53732ee118c7b6156b55b30847a6e828b7069a5d4be623abff66ba87bff49294dd9b1f698ba445d610973d052a80691c9968e3179aa3eea5b0bccb3cf674c5cfe7d2c14d7b6daa7a4813abcd56ef930099
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
Ciphertext = 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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
Entropy = 4960ccb1276f96d7aa55885b6ae6f90343d42e1391e8241b5952931a979837e1
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
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
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
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
* write case
* NOTE: There is an odd corner case here. It may occur that
* in a single iteration of the state machine, the read key is yielded
- * prior to the write key for the same level. This is undesireable
+ * prior to the write key for the same level. This is undesirable
* for quic, but it is ok, as the general implementation of every 3rd
- * party quic stack while prefering write keys before read, allows
+ * party quic stack while preferring write keys before read, allows
* for read before write if both keys are yielded in the same call
* to SSL_do_handshake, as the tls adaptation code for that quic stack
* can then cache keys until both are available, so we allow read before
'LIBSSL_RECORD_LAYER_PARAM_BLOCK_PADDING' => "block_padding",
'LIBSSL_RECORD_LAYER_PARAM_HS_PADDING' => "hs_padding",
-# Symmetric Key parametes
+# Symmetric Key parameters
'SKEY_PARAM_RAW_BYTES' => "raw-bytes",
'SKEY_PARAM_KEY_LENGTH' => "key-length",
);
my $test_client_port;
# Sometimes, our random selection of client ports gets unlucky
- # And we randomly select a port thats already in use. This causes
+ # And we randomly select a port that's already in use. This causes
# this test to fail, so lets harden ourselves against that by doing
# a test bind to the randomly selected port, and only continue once we
- # find a port thats available.
+ # find a port that's available.
my $test_client_addr = $have_IPv6 ? "[::1]" : "127.0.0.1";
my $found_port = 0;
for (my $i = 0; $i <= 10; $i++) {
projects / thirdparty / openssl.git / commitdiff
