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-rw-r--r--checks/dolook.cpp251
-rw-r--r--checks/dolook2.cpp212
-rw-r--r--checks/validate.cpp43
-rw-r--r--checks/validate.dat1253
4 files changed, 269 insertions, 1490 deletions
diff --git a/checks/dolook.cpp b/checks/dolook.cpp
index 0c20448af..b64c5a5a3 100644
--- a/checks/dolook.cpp
+++ b/checks/dolook.cpp
@@ -4,6 +4,11 @@
#include <botan/lookup.h>
#include <botan/filters.h>
#include <botan/libstate.h>
+#include <botan/hmac.h>
+#include <botan/aes.h>
+#include <botan/sha2_32.h>
+#include <botan/sha2_64.h>
+#include <botan/parsing.h>
#ifdef BOTAN_HAS_COMPRESSOR_BZIP2
#include <botan/bzip2.h>
@@ -17,84 +22,203 @@
#include <botan/zlib.h>
#endif
+#if defined(BOTAN_HAS_RANDPOOL)
+ #include <botan/randpool.h>
+#endif
+
+#if defined(BOTAN_HAS_HMAC_RNG)
+ #include <botan/hmac_rng.h>
+#endif
+
+#if defined(BOTAN_HAS_X931_RNG)
+ #include <botan/x931_rng.h>
+ #include <botan/des.h>
+#endif
+
+#if defined(BOTAN_HAS_AUTO_SEEDING_RNG)
+ #include <botan/auto_rng.h>
+#endif
+
using namespace Botan;
#include "common.h"
-Filter* lookup(const std::string& algname,
- const std::vector<std::string>& params,
- const std::string& section)
+/* A weird little hack to fit S2K algorithms into the validation suite
+ You probably wouldn't ever want to actually use the S2K algorithms like
+ this, the raw S2K interface is more convenient for actually using them
+*/
+class S2K_Filter : public Filter
{
- std::string key = params[0];
- std::string iv = params[1];
- Filter* filter = 0;
-
- // The order of the lookup has to change based on how the names are
- // formatted and parsed.
- filter = lookup_kdf(algname, key, iv);
- if(filter) return filter;
+ public:
+ void write(const byte in[], u32bit len)
+ { passphrase += std::string(reinterpret_cast<const char*>(in), len); }
+ void end_msg()
+ {
+ s2k->change_salt(salt, salt.size());
+ s2k->set_iterations(iterations);
+ SymmetricKey x = s2k->derive_key(outlen, passphrase);
+ send(x.bits_of());
+ }
+ S2K_Filter(S2K* algo, const SymmetricKey& s, u32bit o, u32bit i)
+ {
+ s2k = algo;
+ outlen = o;
+ iterations = i;
+ salt = s.bits_of();
- if(section == "Cipher Modes (Decryption)")
- filter = lookup_cipher(algname, key, iv, false);
- else
- filter = lookup_cipher(algname, key, iv, true);
- if(filter) return filter;
+ }
+ ~S2K_Filter() { delete s2k; }
+ private:
+ std::string passphrase;
+ S2K* s2k;
+ SecureVector<byte> salt;
+ u32bit outlen, iterations;
+ };
- filter = lookup_block(algname, key);
- if(filter) return filter;
-
- filter = lookup_rng(algname, key);
- if(filter) return filter;
+/* Not too useful generally; just dumps random bits for benchmarking */
+class RNG_Filter : public Filter
+ {
+ public:
+ void write(const byte[], u32bit);
- filter = lookup_encoder(algname);
- if(filter) return filter;
+ RNG_Filter(RandomNumberGenerator* r) : rng(r) {}
+ ~RNG_Filter() { delete rng; }
+ private:
+ RandomNumberGenerator* rng;
+ };
- filter = lookup_hash(algname);
- if(filter) return filter;
+class KDF_Filter : public Filter
+ {
+ public:
+ void write(const byte in[], u32bit len)
+ { secret.append(in, len); }
+ void end_msg()
+ {
+ SymmetricKey x = kdf->derive_key(outlen,
+ secret, secret.size(),
+ salt, salt.size());
+ send(x.bits_of(), x.length());
+ }
+ KDF_Filter(KDF* algo, const SymmetricKey& s, u32bit o)
+ {
+ kdf = algo;
+ outlen = o;
+ salt = s.bits_of();
+ }
+ ~KDF_Filter() { delete kdf; }
+ private:
+ SecureVector<byte> secret;
+ SecureVector<byte> salt;
+ KDF* kdf;
+ u32bit outlen;
+ };
- filter = lookup_mac(algname, key);
- if(filter) return filter;
+Filter* lookup_s2k(const std::string& algname,
+ const std::vector<std::string>& params)
+ {
+ S2K* s2k = 0;
- filter = lookup_s2k(algname, params);
- if(filter) return filter;
+ try {
+ s2k = get_s2k(algname);
+ }
+ catch(...) { }
+ if(s2k)
+ return new S2K_Filter(s2k, params[0], to_u32bit(params[1]),
+ to_u32bit(params[2]));
return 0;
}
-Filter* lookup_hash(const std::string& algname)
+void RNG_Filter::write(const byte[], u32bit length)
{
- Filter* hash = 0;
-
- try {
- hash = new Hash_Filter(algname);
+ if(length)
+ {
+ SecureVector<byte> out(length);
+ rng->randomize(out, out.size());
+ send(out);
}
- catch(Algorithm_Not_Found) {}
-
- return hash;
}
-Filter* lookup_mac(const std::string& algname, const std::string& key)
+Filter* lookup_rng(const std::string& algname,
+ const std::string& key)
{
- Filter* mac = 0;
- try {
- mac = new MAC_Filter(algname, key);
+ RandomNumberGenerator* prng = 0;
+
+#if defined(BOTAN_HAS_AUTO_SEEDING_RNG)
+ if(algname == "AutoSeeded")
+ prng = new AutoSeeded_RNG;
+#endif
+
+#if defined(BOTAN_HAS_X931_RNG)
+ if(algname == "X9.31-RNG(TripleDES)")
+ prng = new ANSI_X931_RNG(new TripleDES,
+ new Fixed_Output_RNG(decode_hex(key)));
+ else if(algname == "X9.31-RNG(AES-128)")
+ prng = new ANSI_X931_RNG(new AES_128,
+ new Fixed_Output_RNG(decode_hex(key)));
+ else if(algname == "X9.31-RNG(AES-192)")
+ prng = new ANSI_X931_RNG(new AES_192,
+ new Fixed_Output_RNG(decode_hex(key)));
+ else if(algname == "X9.31-RNG(AES-256)")
+ prng = new ANSI_X931_RNG(new AES_256,
+ new Fixed_Output_RNG(decode_hex(key)));
+#endif
+
+#if defined(BOTAN_HAS_RANDPOOL)
+ if(algname == "Randpool")
+ {
+ prng = new Randpool(new AES_256, new HMAC(new SHA_256));
+
+ prng->add_entropy(reinterpret_cast<const byte*>(key.c_str()),
+ key.length());
+ }
+#endif
+
+#if defined(BOTAN_HAS_X931_RNG)
+ // these are used for benchmarking: AES-256/SHA-256 matches library
+ // defaults, so benchmark reflects real-world performance (maybe)
+ if(algname == "X9.31-RNG")
+ {
+ RandomNumberGenerator* rng =
+#if defined(BOTAN_HAS_HMAC_RNG)
+ new HMAC_RNG(new HMAC(new SHA_512), new HMAC(new SHA_256));
+#elif defined(BOTAN_HAS_RANDPOOL)
+ new Randpool(new AES_256, new HMAC(new SHA_256));
+#endif
+
+ prng = new ANSI_X931_RNG(new AES_256, rng);
+
+ }
+#endif
+
+#if defined(BOTAN_HAS_HMAC_RNG)
+ if(algname == "HMAC_RNG")
+ {
+ prng = new HMAC_RNG(new HMAC(new SHA_512), new HMAC(new SHA_256));
}
- catch(Algorithm_Not_Found) {}
+#endif
- return mac;
+ if(prng)
+ {
+ prng->add_entropy(reinterpret_cast<const byte*>(key.c_str()),
+ key.length());
+ return new RNG_Filter(prng);
+ }
+
+ return 0;
}
-Filter* lookup_cipher(const std::string& algname, const std::string& key,
- const std::string& iv, bool encrypt)
+Filter* lookup_kdf(const std::string& algname, const std::string& salt,
+ const std::string& params)
{
+ KDF* kdf = 0;
try {
- if(encrypt)
- return get_cipher(algname, key, iv, ENCRYPTION);
- else
- return get_cipher(algname, key, iv, DECRYPTION);
+ kdf = get_kdf(algname);
}
- catch(Algorithm_Not_Found) {}
- catch(Invalid_Algorithm_Name) {}
+ catch(...) { return 0; }
+
+ if(kdf)
+ return new KDF_Filter(kdf, salt, to_u32bit(params));
return 0;
}
@@ -128,3 +252,28 @@ Filter* lookup_encoder(const std::string& algname)
return 0;
}
+
+Filter* lookup(const std::string& algname,
+ const std::vector<std::string>& params)
+ {
+ std::string key = params[0];
+ std::string iv = params[1];
+ Filter* filter = 0;
+
+ // The order of the lookup has to change based on how the names are
+ // formatted and parsed.
+ filter = lookup_kdf(algname, key, iv);
+ if(filter) return filter;
+
+ filter = lookup_rng(algname, key);
+ if(filter) return filter;
+
+ filter = lookup_encoder(algname);
+ if(filter) return filter;
+
+ filter = lookup_s2k(algname, params);
+ if(filter) return filter;
+
+ return 0;
+ }
+
diff --git a/checks/dolook2.cpp b/checks/dolook2.cpp
deleted file mode 100644
index 51ee8fec1..000000000
--- a/checks/dolook2.cpp
+++ /dev/null
@@ -1,212 +0,0 @@
-#include <vector>
-#include <string>
-#include <cstdlib>
-
-#include <botan/botan.h>
-#include <botan/lookup.h>
-#include <botan/filters.h>
-
-#include <botan/hmac.h>
-#include <botan/aes.h>
-#include <botan/sha2_32.h>
-#include <botan/sha2_64.h>
-
-#if defined(BOTAN_HAS_RANDPOOL)
- #include <botan/randpool.h>
-#endif
-
-#if defined(BOTAN_HAS_HMAC_RNG)
- #include <botan/hmac_rng.h>
-#endif
-
-#if defined(BOTAN_HAS_X931_RNG)
- #include <botan/x931_rng.h>
- #include <botan/des.h>
-#endif
-
-#if defined(BOTAN_HAS_AUTO_SEEDING_RNG)
- #include <botan/auto_rng.h>
-#endif
-
-#include "common.h"
-using namespace Botan;
-
-
-/* A weird little hack to fit S2K algorithms into the validation suite
- You probably wouldn't ever want to actually use the S2K algorithms like
- this, the raw S2K interface is more convenient for actually using them
-*/
-class S2K_Filter : public Filter
- {
- public:
- void write(const byte in[], u32bit len)
- { passphrase += std::string(reinterpret_cast<const char*>(in), len); }
- void end_msg()
- {
- s2k->change_salt(salt, salt.size());
- s2k->set_iterations(iterations);
- SymmetricKey x = s2k->derive_key(outlen, passphrase);
- send(x.bits_of());
- }
- S2K_Filter(S2K* algo, const SymmetricKey& s, u32bit o, u32bit i)
- {
- s2k = algo;
- outlen = o;
- iterations = i;
- salt = s.bits_of();
-
- }
- ~S2K_Filter() { delete s2k; }
- private:
- std::string passphrase;
- S2K* s2k;
- SecureVector<byte> salt;
- u32bit outlen, iterations;
- };
-
-/* Not too useful generally; just dumps random bits for benchmarking */
-class RNG_Filter : public Filter
- {
- public:
- void write(const byte[], u32bit);
-
- RNG_Filter(RandomNumberGenerator* r) : rng(r) {}
- ~RNG_Filter() { delete rng; }
- private:
- RandomNumberGenerator* rng;
- };
-
-class KDF_Filter : public Filter
- {
- public:
- void write(const byte in[], u32bit len)
- { secret.append(in, len); }
- void end_msg()
- {
- SymmetricKey x = kdf->derive_key(outlen,
- secret, secret.size(),
- salt, salt.size());
- send(x.bits_of(), x.length());
- }
- KDF_Filter(KDF* algo, const SymmetricKey& s, u32bit o)
- {
- kdf = algo;
- outlen = o;
- salt = s.bits_of();
- }
- ~KDF_Filter() { delete kdf; }
- private:
- SecureVector<byte> secret;
- SecureVector<byte> salt;
- KDF* kdf;
- u32bit outlen;
- };
-
-Filter* lookup_s2k(const std::string& algname,
- const std::vector<std::string>& params)
- {
- S2K* s2k = 0;
-
- try {
- s2k = get_s2k(algname);
- }
- catch(...) { }
-
- if(s2k)
- return new S2K_Filter(s2k, params[0], to_u32bit(params[1]),
- to_u32bit(params[2]));
- return 0;
- }
-
-void RNG_Filter::write(const byte[], u32bit length)
- {
- if(length)
- {
- SecureVector<byte> out(length);
- rng->randomize(out, out.size());
- send(out);
- }
- }
-
-Filter* lookup_rng(const std::string& algname,
- const std::string& key)
- {
- RandomNumberGenerator* prng = 0;
-
-#if defined(BOTAN_HAS_AUTO_SEEDING_RNG)
- if(algname == "AutoSeeded")
- prng = new AutoSeeded_RNG;
-#endif
-
-#if defined(BOTAN_HAS_X931_RNG)
- if(algname == "X9.31-RNG(TripleDES)")
- prng = new ANSI_X931_RNG(new TripleDES,
- new Fixed_Output_RNG(decode_hex(key)));
- else if(algname == "X9.31-RNG(AES-128)")
- prng = new ANSI_X931_RNG(new AES_128,
- new Fixed_Output_RNG(decode_hex(key)));
- else if(algname == "X9.31-RNG(AES-192)")
- prng = new ANSI_X931_RNG(new AES_192,
- new Fixed_Output_RNG(decode_hex(key)));
- else if(algname == "X9.31-RNG(AES-256)")
- prng = new ANSI_X931_RNG(new AES_256,
- new Fixed_Output_RNG(decode_hex(key)));
-#endif
-
-#if defined(BOTAN_HAS_RANDPOOL)
- if(algname == "Randpool")
- {
- prng = new Randpool(new AES_256, new HMAC(new SHA_256));
-
- prng->add_entropy(reinterpret_cast<const byte*>(key.c_str()),
- key.length());
- }
-#endif
-
-#if defined(BOTAN_HAS_X931_RNG)
- // these are used for benchmarking: AES-256/SHA-256 matches library
- // defaults, so benchmark reflects real-world performance (maybe)
- if(algname == "X9.31-RNG")
- {
- RandomNumberGenerator* rng =
-#if defined(BOTAN_HAS_HMAC_RNG)
- new HMAC_RNG(new HMAC(new SHA_512), new HMAC(new SHA_256));
-#elif defined(BOTAN_HAS_RANDPOOL)
- new Randpool(new AES_256, new HMAC(new SHA_256));
-#endif
-
- prng = new ANSI_X931_RNG(new AES_256, rng);
-
- }
-#endif
-
-#if defined(BOTAN_HAS_HMAC_RNG)
- if(algname == "HMAC_RNG")
- {
- prng = new HMAC_RNG(new HMAC(new SHA_512), new HMAC(new SHA_256));
- }
-#endif
-
- if(prng)
- {
- prng->add_entropy(reinterpret_cast<const byte*>(key.c_str()),
- key.length());
- return new RNG_Filter(prng);
- }
-
- return 0;
- }
-
-Filter* lookup_kdf(const std::string& algname, const std::string& salt,
- const std::string& params)
- {
- KDF* kdf = 0;
- try {
- kdf = get_kdf(algname);
- }
- catch(...) { return 0; }
-
- if(kdf)
- return new KDF_Filter(kdf, salt, to_u32bit(params));
- return 0;
- }
diff --git a/checks/validate.cpp b/checks/validate.cpp
index 8fb225137..6a8fed3d9 100644
--- a/checks/validate.cpp
+++ b/checks/validate.cpp
@@ -10,6 +10,8 @@
#include <botan/filters.h>
#include <botan/exceptn.h>
+#include <botan/selftest.h>
+#include <botan/libstate.h>
using namespace Botan;
#include "validate.h"
@@ -43,8 +45,7 @@ u32bit random_word(Botan::RandomNumberGenerator& rng,
}
-Botan::Filter* lookup(const std::string&, const std::vector<std::string>&,
- const std::string& = "All");
+Botan::Filter* lookup(const std::string&, const std::vector<std::string>&);
bool failed_test(const std::string&, std::vector<std::string>, bool, bool,
const std::string&, std::string&,
@@ -184,17 +185,39 @@ bool failed_test(const std::string& algo,
std::string& last_missing,
Botan::RandomNumberGenerator& rng)
{
-#if DEBUG
- std::cout << "Testing: " << algo;
- if(!exp_pass)
- std::cout << " (expecting failure)";
- std::cout << std::endl;
-#endif
-
#if !EXTRA_TESTS
if(!exp_pass) return true;
#endif
+ std::map<std::string, std::string> vars;
+ vars["input"] = params[0];
+ vars["output"] = params[1];
+
+ if(params.size() > 2)
+ vars["key"] = params[2];
+
+ if(params.size() > 3)
+ vars["iv"] = params[3];
+
+ std::map<std::string, bool> results =
+ algorithm_kat(algo, vars, global_state().algorithm_factory());
+
+ if(results.size())
+ {
+ for(std::map<std::string, bool>::const_iterator i = results.begin();
+ i != results.end(); ++i)
+ {
+ if(i->second == false)
+ {
+ std::cout << algo << " test with provider "
+ << i->first << " failed\n";
+ return true;
+ }
+ }
+
+ return false; // OK
+ }
+
const std::string in = params[0];
const std::string expected = params[1];
@@ -210,7 +233,7 @@ bool failed_test(const std::string& algo,
Botan::Pipe pipe;
try {
- Botan::Filter* test = lookup(algo, params, section);
+ Botan::Filter* test = lookup(algo, params);
if(test == 0 && is_extension) return !exp_pass;
if(test == 0)
{
diff --git a/checks/validate.dat b/checks/validate.dat
index 7b743149b..de9db0b89 100644
--- a/checks/validate.dat
+++ b/checks/validate.dat
@@ -22945,7 +22945,7 @@ F922CA875B991A31:2763F255636A34C1:22EBE7A30E8855B3B453A6E926D4F187
B4ECC305C3DBD8E5:FBBEC8F5DBF4CEFD:1B5E23EBD915C1FEE59F57DD91AF7347
3DAADD7A9633E19B:4DE5C07EA1564A64:A6BFB85FA91B8CA4197C8B502A62F972
-# MARKER: Cipher Modes (Encryption)
+# MARKER: Cipher Modes
# Cipher mode format is plaintext:ciphertext:key:iv
@@ -22979,7 +22979,7 @@ BE5DEBD559E303C9C92B174A5107BBFEB626D8F65EDCCDF3AEE475C8A1837722\
41DDE7C1F1631F5FDED4F42746471BD651D238BA86176EFE39E4695AAEB73B52\
EA5926CADAD8018962E469BA920CB8BF1EA9062E4D9CEDD5FAD4F4C7990367A4\
B966E5C5D2277288C61B96A559CC84AFB6A6583C5AACFCD6212B0BD8AEF3C6A9\
-A11DDBD175639341052B0B384678D8D9352299B71DD880E29D1B96452DB86540:\
+A11DDBD175639341052B0B384678D8D9352299B71DD880E29D1B96452DB86540\
B2288B968AE8B08648D1CE9606FD992D717EB02EB81A2E939D54ACA91087112D\
0D809C5EE82F477EBA7B956DBB23463B0F0190D616F5294112FFB7884E8B37F9\
41BA1B505386B7428B88338188F7E718A3348230BF5CFA552F88D22463D9703A\
@@ -22994,6 +22994,34 @@ EEFA51FC91FEBB6E9F8CB141CC0EB6AF3C6F8380CBD3C996167F2F0E90E71B75\
DDEB59F02132BE4581FC23EABAA960D6341D9352E36DFD6E4EAF0F6F439BC8CE\
73A9AB3164FF30350F2DC08E939A104D6DF0C2C28F8E2D44468A61278BB6B429\
4DAE45AE0CAA032FC97CD4D8C57FB83BBA8AFCAE22070BC882D3A42B38A09E65:\
+B2288B968AE8B08648D1CE9606FD992D717EB02EB81A2E939D54ACA91087112D\
+0D809C5EE82F477EBA7B956DBB23463B0F0190D616F5294112FFB7884E8B37F9\
+41BA1B505386B7428B88338188F7E718A3348230BF5CFA552F88D22463D9703A\
+115351622E016BCA26918D17E13225F67EE4E3F2C46FE52ECBDA044C585717DC\
+563A8403FF5309D62370B1DCF5A11EDD2F7D73602B70CD2553E44C1D3F170126\
+155BBD9BE3A965B345E834718F651CEF6CC65E8C5C566E894817350F497816F1\
+EEFA51FC91FEBB6E9F8CB141CC0EB6AF3C6F8380CBD3C996167F2F0E90E71B75\
+6C87EB62A4975356B28DCBF6A64A0BD107206D48FE6DBE19D50314B90AC87B83\
+35706F9B26007071AD8105CFAA1C1E2FF7FEAE5CEC4D11477F24E6B200906870\
+3C0E29E2950F2AC2DACD63DEEB5C7EFA9FDB9F3B740563D5518287DC981FC9CB\
+46D4B5A5A86FEC08FE70D18297DCF51072DDBE038DA040EBB12C509F5940A212\
+DDEB59F02132BE4581FC23EABAA960D6341D9352E36DFD6E4EAF0F6F439BC8CE\
+73A9AB3164FF30350F2DC08E939A104D6DF0C2C28F8E2D44468A61278BB6B429\
+4DAE45AE0CAA032FC97CD4D8C57FB83BBA8AFCAE22070BC882D3A42B38A09E65\
+58A51ED82169DE7027CBE72452626CA3FF6BBF2FB2C574EC9D5656505B516880\
+47AEA89DBBB5C4EBE819C5BDFDAB16033D2FE7D01071373624D99845D90E32C1\
+708C609C4E75BE40D8DE77F8EA78C2CC98852792C22E971F29C2E125247FB43C\
+AD1FD857DE9B8016C5971FFF86AD399ED669FEF7481FD73B9A45B1CFFE9C556D\
+AE9A816916FB1F5822B2CEC8986F6E5B156775D0F6F432D57D351C62A24AFE63\
+AE812270F7416D05E153E5AB703DCD3FF320F6AD3D00647C23F08699E0EE9F5E\
+DDB3C717C2A6D3E58D38269DBA0243926D64CCD92B1101086DD3F0DDB73312A3\
+1D5F5EA0FD18AB84E242C96FFCC222F9FE12D5B15F5A3C365E9FF3248FB43B38\
+5A0F73507F49A08E68952BEE09DC7D35E7B29A44C8970624CB3A93DA4AE7E498\
+35AE41A5BE2EE591750FF9A7D431B1EE8A69099E689A06324AA0AE431ACAE762\
+FD3B90A8B269090A4CEEA076CF1EB7A580DEDE896BED63917384B1C5E18B7B57\
+A7EB6B127A7A32898989E32CFF9A46BF6A62268500E53AD8A5FBC95226266BD9\
+AAE1BA501274C49A7A7EC67D7577114B7707DAB9D066AF086C09E7DD4116CEA6\
+EE25DA9A65EF05A31ED0BDF56D525EC8968D1D01AF7165C5AEAC76BD367A575A:\
00000000000000000000000000000000
[DES/ECB/NoPadding]
@@ -25409,1218 +25437,6 @@ A09120126443E8771F9700718BC94E5070DA8DAC17BB3F73555F3942AAC1C2830371D641\
BA516D7A4B7638995562CE54FEFC84B6DFB4B8A81A03F24BB065B060E4FA2966:\
23C93FBB6EF742A576769819A5BC6AC3
-# MARKER: Cipher Modes (Decryption)
-
-# Cipher mode format is plaintext:ciphertext:key:iv
-
-[DES/ECB/NoPadding]
-86A560F10EC6D85B:059B5E0851CF143A:0113B970FD34F2CE
-3FA40E8A984D4815:4E6F772069732074:0123456789ABCDEF
-
-[DES/ECB/PKCS7]
-17AE296967C5D076::AD37078F3EA426EF
-A9E2BD3B74E7F3CE:E7:9CBEDD92FF2A5B73
-059CF1BEEADC62C2:896D:2FDB746F903CAD45
-784F42BF01754613:C1B1C1:64EA8FC0D24CA010
-9F4559AC8F287060:0888EC54:4C836F4563DF32BC
-9553EAE17C9554C7:5B0E9EFF57:C6B1BAA1CE9585AC
-3ECDE9A96CC20C64:3D0B96172D78:D75487A2708B6667
-05CE6E5D61EF4C58:90628E099303AE:3B7C17F8189C21EF
-DC9D7EEDF77F3B4685EF88B5E3736DF0:3216ACECC41D0D6B:D53C39F84A7E53A4
-EAFA4A1BEB450770265C5AF8A87B807D:8C04066386282D98D5:4637A64E19D8C59A
-91A2C846731747F490596CC2C1354E2C:D2802A5A871F246AB192:0971FEDA66F7DD2E
-8763EEF91B589B6706EE96108DDB9A70:D3E87AF21F0313835ADAC3:8E8F17C42B91EADB
-C75CC89A8B528B1CFA9725A4F6F22C9F:D6FBF31C50BEF03DB36D9CFA:A87F5FF0B3545400
-3888F955A7079C88ADDFEE8C5DDDDE85:40C86D519650F7506BAE823B89:6DA82D72B5948390
-FACCCE40C05A410B329340EEE8E63E89:\
-0780C2ABA3516BDE2A2F8970EB75:040128669CE30F4C
-7AFE6045F807102D354B17B45F3D9D70:\
-BEAFD7CBD536B9800B10F9CEE81E72:A25AA7C651B67CB2
-2985CE350364A85067F32C4E5D340F1658E77714063EA91C:\
-3D8DDC8C215EC27AE07C428D093DBEBB:E4E5E82C29060303
-C78110FF4EBD0FCC3EA2A8F1B3CFECDAC527FF08EE874167:\
-BD6FC0629E56D7E151AD3BC303B02852E4:587033C361C2413E
-02F8DC588D26A55A5B8E441FC66804CAA198A38CF5837A96:\
-8AA4B5C93DB2727D4997927B4570DFDF630E:9A65A821B5FB59D9
-FDBFEBDE42AD8228D33B0032ED35B4AB687BB44CDDFBFC78:\
-13B6ED27218594D16AB5A8475BADA80C03E36E:ADFA49E8BD20F49A
-43391357D31B758921A07ACABEDA50025421B9A15CFFD863:\
-4FAFFCA861CDD5B7393C2F1171E3EAFCFF1BBF09:7C4C08429BBC99D4
-1BEF25251A46159EDC6E7410E9A3804E4DE32A202E2D3FFA:\
-4F246C4C3F679CAE3D659820ADF948B04DA101AAC7:C4D15330927DB0D5
-BAB47B7AFAFD30234BC4E69F1A602788B294438296F6E046:\
-C00AFB680484638EE4BC8999CAAA7EDBF32ADD6A32CF:DBDEDFA4B3BCB30B
-006EE0B1E90468292B72A70426DCD3975A6A4F21D6F6DC8A:\
-94CFEC7A15A35441AC72222DC4BE7508CE12B1D9690E86:95C9471D839AC3A0
-7DA18BB325DABC8F5DDFBAF9B41F4389C0FF9E37A86A1E318C9065FC7F3D654B:\
-95F6A941BBA9BA711BF1962D668996A315157A49EE32993B:F22460847CD66211
-
-[DES/ECB/OneAndZeros]
-D573EBC3919CB0FB::9EAEF4F67688739C
-96205FA42306698E:56:FCC8C062DAAF3A6E
-C2A09626D3200B09:7106:F4FA38ACB1D2A9C9
-64850779AD424E5B:9B5D19:FFAE7E198369326C
-5A4D009F2ACFD643:30A671C3:585B8E1A64E346FA
-BD29AF6B945A8413:371415B9FD:4B6C26F53E7317AE
-6904EF148ECF10B4:1F5E2F5D845C:361DF31C6F8E772A
-4A749E5874DC2FDE:FFCB40A7CDB5B6:050025D50D9773E9
-72EEC4B5CCB537C1AA223E5DF3368139:610F58A0A16D1303:D4F1D443093CF941
-25259E1C4C1E65966D933ED350668BC3:171A5D4E209F133F3B:CA2BD0CF16C9D7BD
-70C87505241FAA9BE93633B16880856D:927D2B314B4CCD1F3D04:C64374B9C7E2A06E
-393C836014C3A65EC36E6165CE192CE4:2CCC4DA982CF67BE929C4A:E30F4BDF1B96967E
-858A4172FAFD4614B5263F418EB9EC56:4E92F895CAEA28B7208236F9:308DE63A2E3A5BCE
-2716D7195AC4D979C3F81D3D08897E8E:E306358941C2BAFE286043A113:33482C296BD8D44F
-5217205AC00B31FE8D7CDB916AD49773:\
-5ABDB2059249D0672AC52085985E:C893C0B250AAD5F9
-1651D5785652365C03541F62BDB343B8:\
-D9E343F4A600D4C5467FBBB923BFDF:9490B296D0EA218D
-90C4F548C806B6B86EC2BAF6A96CEC5D9748FCA16CA51F44:\
-D3DCA72E82C0572ECC7C0DF2BE150C00:F5A1291B1A39F5E9
-39EBA35BF86A2926B0A489599B4BF94C31A9F7FEC351ECE2:\
-5E3786F3E7B3D91AFEE1295C314AFBAFC5:83B78C6CEB56CE78
-B32E06E80854E4B815E12F61A2431B7E9F378ED825168C33:\
-6DAFF95A4C3E781594AC22BE9E9E3067CBC5:1B5E0FD12573752C
-BB8FE34DE658F8E9D7CBFCA9EF0D5AC7CC48949FD419663A:\
-8340DED8A3C5DFB4C59857E5C7B066D5FFEA84:D78448EA1E73DFF9
-A6CC24FE20B8D417592A12E4912A131BCCF69B71EE25B420:\
-5EFAB4221460C884D8E84FEF593E7AD2FC065AB5:A960C2DF2037A814
-4373F2160343E9E626A13A3D28B5D9A1A6E19455374A7070:\
-BB2EEC90C104A60DA2CF1C31A1D06B84C58C55B396:001247D9B6B26506
-F92FA72F2295337D949F8F2C34A0CCA63D0A2057CB2E6F5B:\
-A3F7B5142BE18B4F54F828F42D1BC5A3643016974399:E6FF6AD89409898A
-06C29E86F4CE77256D64E320F6A6A9CA8A72336469DD1EBC:\
-249986A41700E34D49F01D21CC84059D824E9DA320FB6C:761B7C6F0F783305
-75190AC0CF194DD8620D6E6A664E5F7FFFCB615AAFBB098EF54F8430616767B6:\
-3234B4AF6F4B7CC0527C4D23DC7F22BDBE84E7BE010C2F39:F4399D05D289A404
-
-[DES/CBC/NoPadding]
-E5C7CDDE872BF27C43E934008C389C0F683788499A7C05F6:\
-4E6F77206973207468652074696D6520666F7220616C6C20:\
-0123456789ABCDEF:1234567890ABCDEF
-
-[DES/CBC/PKCS7]
-07E8E4E137A70F64::FE4BA85E69877F56:C5C7186B1F9CD61C
-D452289D1ECBFB88:DD:23FB4CBFC76F9906:550DF2EE0D0ECC39
-5270ADDA7C33A133:0AC3:4DC779C79E31D084:B6B763B034D4921A
-215580AAAA09884F:5CA7BE:07AD83CA822CBB58:2FCDEC1E5CCC7DCA
-1E89C0730B3ED0BC:7AD95A87:4C66AC5320597311:378EF56C445206CF
-4D0B351457FB1D19:F1ED735A21:ACDA801121815F40:4254636AAF235A60
-4FBCCA8DBCE392AF:C284BFF3333A:66105A77286C96F9:4F4BAC49BFEE1523
-101115733330ECE5:3E918010C3A311:FA43D72CDD6A4F04:D8773D690E7EF671
-8996ADE0774169D11A1EF78E157AB3C9:3A913A52D35F6D41:\
-82BD7722A5704C2C:7D59C67162592989
-A0B1C44602858AFC9DF4FF3703561CF6:C4E77206DE7FBEC001:\
-C4FB35FB4CECCA1B:91C5204B300E9C8E
-5EEC6084E8EA4CBD226B1CE9D03760D7:C2FFAB037354BBF6681A:\
-6462FEF31CD53A14:15F7C886C55B8C80
-635F4DA9940E6BFF3475718EC80A6032:B38993F0421A9482256C3E:\
-B1F09583E9F4332E:6B3A296CE234FFE4
-6C427B05365CE2C1CD7272F4580FF4E7:FC39AFC5C58A746797C64540:\
-C2509FECD82996B6:FCB3F5AC6122AAE6
-C48B1AED56789C2ABF1DC0A3F0F09D95:006F3067DA4F4EF4294925551F:\
-83FC0D025C2B27D4:8A9424DB9F60DB23
-ED198040B7F952B3B2C7B550B8D3E207:8953C0470CC17BEFDCFD7A178941:\
-B29FD310B15FF558:0D832323132E79B4
-F562D640B39DA7BBC5F7FBD0B84EC880:673D81110782DEB537CE33A0DD8F96:\
-E5F2856E63C54113:EEF1601F3C40CD8D
-492862C0FA48CDBDE714A0B8881BC1CE6F9F17E9A2754D65:\
-8F4169CC8771200D0BF3D8F7140AA811:\
-5DE9685DEAE62242:3835A7308345E312
-F5B8D08D269EC0F196BA8BA6BB98273F8D90325CEC83424F:\
-8DC4099DC33743F0E6B903CBE8FFCB7C68:\
-1A99B0DAF28CC879:2AFF0DB963454727
-C2DC32BDDA790DADF329874B09727A14BE6F01E097AE5B1A:\
-6EE8C6C2C73E58C82D58105B005149DEAEC7:\
-5ED0CB977CA524B1:4F45E91DE65705AD
-920184D9311F88F5D0725F4F40B066DB6FFD1CE2AA86F933:\
-968F75526E091CAC8BD85DD75AD15D49E38ED9:\
-6C9E8BCC4C9F7B91:21728BE0081A555B
-A6744F04F97363A5EB120F09DFF42275092E587B14D12492:\
-CD4CBDDA85C9B9E7DE97209472BD2BCF9182150C:\
-9908A488E9ABB414:958C9C62D9593C5E
-60B161ACFDEAB66C476EA55D13116F865687F06CFFD13CB3:\
-F58720F8B80AA229BD7642AD9807C647839D853033:\
-61F2CCFC031ECEFF:9F94F426B4ECDEBE
-8751AA8954A97684A06B2BFBB85133B33D3DFCE1B8562156:\
-A95527CFC36EFDE34B771A0370ADB1E49879AC424D66:\
-F8A2DB331D17C3BE:AF6D13D63CD74439
-FC16DDB93CAB78299B5A18D9417DFC5A84565BE49057C394:\
-604570CF9BCCCC86FF411D0774AC6559F8D293BEBAB80D:\
-B8D057BA9652F60E:B23B7F81D64B4E5D
-C3BF0218E9F75F284871BBD4D4CC6664D964EA0571FC40B1CA54BDB04105DD65:\
-4149D929BC228216A0D58E880112BE987BC1BFEA70D7D9FE:\
-283320F2BDBCECFF:06C528C2E7AAD887
-
-E5C7CDDE872BF27C43E934008C389C0F683788499A7C05F662C16A27E4FCF277:\
-4E6F77206973207468652074696D6520666F7220616C6C20:\
-0123456789ABCDEF:1234567890ABCDEF
-
-[Serpent/ECB/NoPadding]
-B2288B968AE8B08648D1CE9606FD992D717EB02EB81A2E939D54ACA91087112D\
-0D809C5EE82F477EBA7B956DBB23463B0F0190D616F5294112FFB7884E8B37F9\
-41BA1B505386B7428B88338188F7E718A3348230BF5CFA552F88D22463D9703A\
-115351622E016BCA26918D17E13225F67EE4E3F2C46FE52ECBDA044C585717DC\
-563A8403FF5309D62370B1DCF5A11EDD2F7D73602B70CD2553E44C1D3F170126\
-155BBD9BE3A965B345E834718F651CEF6CC65E8C5C566E894817350F497816F1\
-EEFA51FC91FEBB6E9F8CB141CC0EB6AF3C6F8380CBD3C996167F2F0E90E71B75\
-6C87EB62A4975356B28DCBF6A64A0BD107206D48FE6DBE19D50314B90AC87B83\
-35706F9B26007071AD8105CFAA1C1E2FF7FEAE5CEC4D11477F24E6B200906870\
-3C0E29E2950F2AC2DACD63DEEB5C7EFA9FDB9F3B740563D5518287DC981FC9CB\
-46D4B5A5A86FEC08FE70D18297DCF51072DDBE038DA040EBB12C509F5940A212\
-DDEB59F02132BE4581FC23EABAA960D6341D9352E36DFD6E4EAF0F6F439BC8CE\
-73A9AB3164FF30350F2DC08E939A104D6DF0C2C28F8E2D44468A61278BB6B429\
-4DAE45AE0CAA032FC97CD4D8C57FB83BBA8AFCAE22070BC882D3A42B38A09E65:\
-D29D576FCEA3A3A7ED9099F29273D78E2D62A890CEA3A3A7ED9099F29273D78E\
-D29D576F315C5C58ED9099F29273D78E2D62A890315C5C58ED9099F29273D78E\
-D29D576FCEA3A3A7126F660D9273D78E2D62A890CEA3A3A7126F660D9273D78E\
-D29D576F315C5C58126F660D9273D78E2D62A890315C5C58126F660D9273D78E\
-D29D576FCEA3A3A7ED9099F26D8C28712D62A890CEA3A3A7ED9099F26D8C2871\
-D29D576F315C5C58ED9099F26D8C28712D62A890315C5C58ED9099F26D8C2871\
-D29D576FCEA3A3A7126F660D6D8C28712D62A890CEA3A3A7126F660D6D8C2871\
-D29D576F315C5C58126F660D6D8C28712D62A890315C5C58126F660D6D8C2871\
-AA26D561F567520E8AE47528C24C18D731A2193D9A97FED6922B17AAA6372B74\
-BE5DEBD559E303C9C92B174A5107BBFEB626D8F65EDCCDF3AEE475C8A1837722\
-41DDE7C1F1631F5FDED4F42746471BD651D238BA86176EFE39E4695AAEB73B52\
-EA5926CADAD8018962E469BA920CB8BF1EA9062E4D9CEDD5FAD4F4C7990367A4\
-B966E5C5D2277288C61B96A559CC84AFB6A6583C5AACFCD6212B0BD8AEF3C6A9\
-A11DDBD175639341052B0B384678D8D9352299B71DD880E29D1B96452DB86540:\
-00000000000000000000000000000000
-
-[RC5(8)/CBC/PKCS7]
-7875DBF6738C64788F34C3C681C99695:FFFFFFFFFFFFFFFF:0102030405:0000000000000000
-7875DBF6738C64787CB3F1DF34F948117FD1A023A5BBA217:\
-FFFFFFFFFFFFFFFF7875DBF6738C647811223344556677:0102030405:0000000000000000
-
-[DES/CBC/OneAndZeros]
-79FCDEE6F5A94E74::0741219814F4369E:DEFD8C15FEB10458
-54EC08B8ADBBCA8F:61:113F04B28F2A9B7E:46A8D61A1D40091E
-7F5C2A6A9F539AD3:6162:7A1771070C736156:5DB9B23CCE795B60
-F0103B237AC98CE5:616263:C4FCD43F56E0AE9B:23A3C25145BE0D20
-65997360ABB15119:61626364:C4FCD43F56E0AE9B:23A3C25145BE0D20
-34D30333EFB7979B:6162636465:F0C27E2EA299D6B9:933CB62A4B934A86
-875E07E80AD49DA0:616263646566:32B6417E7DC574F4:7B42506B38E4A6E1
-994B8B68EE1B0599:61626364656667:3F269D9FF30313AD:DC044A49A694D3B1
-
-C224E73B1564AD1FC49353481E6F5E1D:FE21E07064BE5336:\
-80A21AB24ED705D6:ED03EB0F3FB37D02
-55E901FB4BADDBDF1EAE173AFC8D7099:BBAC475C9BF8287A77:\
-CDCC24E1F5D9947C:EAF397A30C64F5FF
-6105DF0EE9CF1EBDE42935D364D6C9FB:8C5350033553101EC583:\
-94DB8915D14857F3:91499DE2964505D3
-690EDC0411344EC2B0C7B41A31D2F1BA:F3DD004162E851F63D2340:\
-E32708EEC7FF69DA:5782AB9B02BBE4B6
-CC613B80C91901B3216AD10F6596D8F8:4C609BE7D7F14EA806AAFB56:\
-4F6A0EEDF83718D3:FCE76482531A27B5
-63AF78D1B2A15AECDA6897AD6007E5AE:CA17CCA6AF2B27A30B5F92A2B0:\
-C26991460E22605C:126CBBC4A9FC3EA5
-A096512FB2DA7D0A75A1DA41F234A83E:C2DFEE0749C5A21378D4506AB8A3:\
-07D0D1AF072F0737:B66510CA43FF801E
-E641C41182D543E18932FC306FD30726:5A9450CF73A49F570860727C070012:\
-533571A680807F5E:D0FB32F8A2CB7D8E
-9C1AD6A9705F9A72069BB0E4D51A968C2399686815F8DCDE:\
-04184EF5DD2105CC02AFA58B68C2C7F4:ED8250E6E97FA6E4:5CE0CB36A781C6AB
-
-EC41D8E3AA50FC221295274F65A76330:\
-6162636465666768:9F853348B078828A:1DA8B83A9ECB0F6D
-
-69E0288D17900DA45557053EE79CA771E90CCB8D28198E0D:\
-435255534820414C4C2048554D414E5A:\
-E3BB33E82BDB2B84:593A08135216F478
-
-14D752E45A8D28EAB2A5C8E0A12E8A88E804451282F62CA5:\
-7777772E6D656761746F6B796F2E636F6D:\
-458FD140271920A6:605C41F0790BE4EA
-
-[DES/CBC/CTS]
-1F807F8FB9678124B9:9E1CA14BE6538A35DB:88B23AFD0683D337:BAC170D943D262CE
-C6FBE4158F2939D81685:673E242016F6BBA293C0:FFFFCD5B8461A7DB:6D688D63D006AFCB
-F09F7DEA21F678D8FDF997:\
-15FC19F91682B6DD84E60E:4520E59F0868DA60:D572977CA711487C
-80D4E9906F5E093CAB19C835:\
-07F07F2E6E08B791641A95F9:E6A1584C2D9B0F7B:CFDCEFA5DC5CEC3F
-1D7DFB8D1670FFA2FDD99872E2:\
-CC5B006B635A022707AE5674A2:3F2B64EC09DB383A:CC26B1221547BBF3
-DEF7C893EFA8282FC430D92DEC8A:\
-25D30B3604955F5D9AB140C0CA08:41899DF2C47BB49D:E92788E786D65178
-4B0DA5D1E34EBC1AFD0EE115F6D6EB:\
-3736F5354719478759C0AE03FBA044:E15683D9B9731171:6055901E02CC51AA
-13EBA3C09DA9A92CE12FB67D8D0EDED1:\
-121BE08F10A108CF04F6BD59F8A80EA2:EB1A14148700BE54:93AE09E97D6068AC
-A3F29A3DE6B3D52054CDC85FEAEAD5440E:\
-B394FBF91C772ECF3964975819DDE9380C:166B1D73EC15EE53:477A1026883D68F8
-DF6B5B1591C712562A19631E8DAD95153F49:\
-E2416356E94211935EC4448BE0AB43EE1A80:2F01F85201D1B010:5066B27BF6719D41
-FB7FDF98254DA02C2FF2A7801EEC8CD4B5DE03:\
-50FD46F08A0EBC980F24C9484799EBC2028F75:2CA90BF9C26CCEB4:50446BBB5961F03C
-DAF13C5B1DBB958869C0633E8F7EB75646A17647:\
-CF81978920DB7182CF7CA7B5D1177DA83C372C4A:29B6B35BBD8575B3:76EC8D7FA07B8BE5
-87F9684E940E9C410327370A9F10270081B0A5B431:\
-FFE5FC92FBBA432A381F0CA62691AFAD668A0AC192:54ACB83F531EE8EA:9CC628CC5BDEE576
-E2BBA60098114B85838CCA4F1FC8D22A3D8234E0D796:\
-F84EE66897F4D44F882304C3C7D5F630BFD47250B6BD:C562A007017EFC2E:9E4C18CAC2C60138
-
-2DC5DBB9A4F55CEB1A65871417FB293A9726642DD02171:\
-3B4EB0E3405E17EDD17856D29AC97E7B6E3BC196802A24:\
-4A403657C2102B99:90474AFC765346AC
-
-B902D393A62F51E99CBC97B1310830767557835CC56BF88F:\
-506C86A1D0E325684DD23BE8445CDB08D734D6FAA48BC1F8:\
-CAC16F52CA80B183:CFF070594D1A8020
-
-BE082E12FA28CEE1F24328D50FEF71C055D61A6B71466EE56C:\
-B03B09966AC8261CBD17E6CE218B4A826B3D0D36C735BE1CB6:\
-2FDF8948B7AD54C3:8CBDBEF17F1B1328
-
-C9C4702752294E5C3410071A0BF19549AF90213619754EADA1F7:\
-4D790FAB1374E5387CFC5AE9E7FBE0ABD57F634024BB32FA6D95:\
-6A277A4D5B27FECA:6007E397C5E1B6B2
-
-C91A1979FA1A4F93FB8FDA30BD82C26EDD397D91146C044D3C9AB5:\
-01FADB9D549F559E4BD4AABEA073166D76ACB68B3BC7C38E758CE2:\
-E554075663480335:287B947D8D85E403
-
-ECAE28210D616F758CA9111276A10D2151E3F7D0BC567D88944FD697:\
-4DF4CF96C82CAFCCF4791A26DB3A55E8FFF1F374020B1495AFAC8B10:\
-81CCB226258A2BD9:48CEEAED7E7D2B60
-
-DA5A434A5416AEDE9AD557F48183C32406EA78FF5B3B37D5069A8077F8:\
-EB80E96A60CBE0E7E430BCC748F4CBCD61382FEA8787AD11DD598A202F:\
-BAF7BA1C4F38A3FC:13D4AED7365948F1
-
-243B2A015703ECD61FE8DCCC3B216389AE437C0582F5B96493BBEC9B4C68:\
-8FB383275E6F93391E97B13EFC3F7C99F731CB1B346EB15BB5F8DA6248A2:\
-24EC41340744EE04:811219783983A9A0
-
-7CF27928B68E2A4CF007F5C740EF3D42E3C86AD0A768C50F65A92F7EF76CC3:\
-A3165F6001A3C69BDACEF31D924F4CE8AC9CC6CD10BE9948742A2E98DBFDF0:\
-A9A60A3BE162FA91:771A271B54C3DBDF
-
-0190C2294922A17D6E40B2595C9552F0D460F1552315D964818F01CFC7836E74:\
-E6DD056E42D117095F389321E259A004D467096DA28EEA534DC6568C3485B9D5:\
-47B469F51A41EC35:623A5F40A498554B
-
-BAEFF9B09693512CAE7CDEE14628C39898360AE20BAE66C845D920FE16F6D626DF:\
-4D0E59994E070D66F913698947E4AAE1F3044928F29D4ED59CAD18D24E134C52F8:\
-E8C7568DD459A5D9:F82C3042C634B503
-
-B60D0279220B5AC636A861AEE3867B21533A579ABADD3EC5CCB7DD84B23AF3794CC6:\
-4786F439927802927B1AFB3B0DB3C059CA36E4E9D8851C304ABF12438A5F1D7C15E8:\
-5F4379FC61646FCB:8FFD75FA48D32230
-
-245DD4A56151DCDBD0000DF64239D4E64CBC9E82878E3465BBEB86F8DB4782565DC96F:\
-12B6CCB90894783FEC5A375C1744BC7E276DF3D21433EC842373FDDEAAF4D2FCB4229C:\
-1B9F7251AF742AF2:61E984D8B88552DC
-
-3B7598C46993B7046BADB4240143B112CAD1955913073B61E1F77871300A3A4933CE98CC:\
-B84AA9F532EB1DAEEA5332BCAF2402E4CAC762CEB614A686A7A5483AC968FFE6FA84282E:\
-CDE1C86F35672CE4:4B1A4FD4B170196C
-
-5EF4F1E99D2B142769C82590356C5C69C0B3524FC5F849A583464F6448420A7E1FC3563BE0:\
-16064D069A02CF2F8E05953D3B94764568A1C9A1B12AB56CF1032BEE90DA83A807ED5B9670:\
-D427CDE3D72512B0:DC0C33ED870E2BFD
-
-BB8ACFD2BDCD37D952FCFB3C4E668AA5A4EAD2273BD6C84DFC0E8E55AF2DC54D7E3C908FADF7:\
-2E682E802242ACD731E439A7392A5F8701256FD23BA03A65A723671920228B34EC6484E53AB4:\
-57EEEBF7FD0D4E18:B88F867E5276A8CF
-
-[DES/CFB(64)]
-F3096249C7F46E51A69E839B1A92F78403467133898EA622:\
-4E6F77206973207468652074696D6520666F7220616C6C20:\
-0123456789ABCDEF:1234567890ABCDEF
-
-F3096249C7F46E51A69E839B1A92F78403467133898EA622:\
-4E6F77206973207468652074696D6520666F7220616C6C20:\
-0123456789ABCDEF:1234567890ABCDEF
-
-0CB8929A854E61AB3BEB72CE0F13BA328BA73A:\
-D14FD67A9B4D7B0F65B7CA3DA91741603DA446:\
-7132D895529A7AFF:FA1FE8F921706C75
-
-# Random tests, 1...17 byte inputs
-8C:14:FC32B875389C53C0:6CAD29F658A72118
-4045:20A8:89D26DA778B3BA96:C6727E943ECFD50D
-3C17ED:E13C5B:A9F4D6E479BDE314:271C258E90098CC9
-4B465AAD:DDFB818A:C0DF30CA0DC7B5A7:0F141E7F0EDD71DB
-EA6E62D9AA:F70A23F77F:EB26600BD965DE91:6F700666CF4EDEAE
-C486B45156B6:73B635137A36:C56CDC1349657886:5883CBD2A332FD55
-3030B2F0CF44EC:2160B2C75B616F:0DDBF5FF8489B870:F9E9C856200036D3
-C6D70FF570F90870:260C393389E6489A:4E96BA675101F1EE:4DFCB5C3570E2235
-966F556D1AB16D9A84:86083459660733A6EC:16ABBC1F03F13DCC:571EF2769E6DBDFE
-42CD5A8DA77110EB8E56:300AB25A182F798D2195:DB2807197F31E79C:465C5C1BE8DC2699
-1A6829A79F40DBEA451043:2DFD811615ED4490B9AA6C:97D3995360F10777:B4D324EC37BC140B
-D4736432091A2DBA9E7624D5:6BC6540B34674448AF311283:\
-6C7E65D7EECBDC07:2E41B63F4381C5AD
-ACDDA761DDE4D7D23065726194:E7FE3DDC6257543EB319DD565E:\
-B55CB5A2BFED0E0C:C290747BAE6C2651
-E9CD9B31E903C3219D3D83D3B01F:1A17ADEB075B2A94777C8EF0ED11:\
-36982D604982EB26:B4AD47CB63991A37
-5501CAF4CB8843D460CE4D64AC9F3B:168583B6B5A1B5E8246EA11E1D5B25:\
-BD51A1B281929DC7:C5AAD3504E6C4BBD
-D4FE93AD0BA52E4919308E1273714C52:CF0C5D133700651565A8C1885C1576B2:\
-A8C2FAA4B9EE7986:9B733E3380066255
-E4D2F1241759BDC21164DD17CEF53043E7:DB72BF34A34159D488F9C6537D062C8E56:\
-B90CAF95123094D8:48E6D697471B2639
-
-[DES/CFB(32)]
-13799E52F0BF6B0E:BF28A5B2F3FC788F:44FD92D1AF17DA22:5EF2AB4DE2C32258
-
-BA696D0FEFF0882ABEF2E0BCC543CBE2:A6D36D854511809856A9911919FCF070:\
-5046A6A7584E015A:D006FDD64A63FFF5
-6A837A170812A9E6E1A5DC69AA6FBCE2:19359DAB792F0D020115A7722C171532:\
-B992C4C6A2320278:5AEF500DDD6608E5
-77672D81E388902A764B427DAC586F20:B4EABA09CC71CB3CFD191F20065A1B70:\
-E6862A4F40A85BE4:E743B2DD825BF2C0
-EF7DA9BCA94489CE200530EAFE1CD7E7:244273B4BD388B9099669BBEFDC4454A:\
-C4438F020753FE17:36AF1E8E06E278FB
-9B51C216FBAD699636400C962F2E3405:3B9834AB792F727E788C7D32625455D3:\
-465537A2E2167EEB:CCFDB7E38ABF99D9
-19D49D5A54C8FD15EF317AFD5A87EBDE:302C49BF921E0516261F00B2FA2E96A6:\
-F15BD42AEA7F38FD:5E10F9CAF0730C4E
-
-[DES/CFB(16)]
-D6522C5DEF57233BD3A6A30F457A079A:769DE609244B94A8B4E4727736DEA7BA:\
-E1D28FFDD5036622:7A3E915CE8A03836
-
-E8E4A04E0F07E2D9:BD4E5489C5CC01C5:BFCA0E11D1ECFBA7:E115ACDCE0EADA59
-7DDE9ACFB699E9B4:CD42413995D601FE:EDFE86AC2EF8ADFE:4ABE7D04F174CA97
-5F803D644DE8B9E5:5D4B3F430AB38F6E:B94861B7AAB541D8:9EE77D9E68A0968A
-3421750B8D2F984B:2230CF77A827A379:DCA93094B06CB02B:B7D1CF1634AC7D72
-4FBEFCBE20691E11:AA9DCA8BD9C31D51:6F4C469A7710EA31:D091690C4D0203A1
-
-[DES/CFB(8)]
-205EFAA6251E7659:C5A1343F4AC4DD7B:C42B0F47482DABA0:48848E073CF89946
-7B0CEB1D343B181B:BABB3F2ECEE17044:01E4B49A4C327C83:7837CB9035139E36
-FC48CB21644AA6A6:35BD7CBB4F42FE66:DF6B71F274CEAE61:8365BDF506BD2382
-7423BC2D230FF167:75648C39AF4DE0DC:2E1BAA1165A460A4:35E0A0149D95735E
-8E511E034A21F8D4:6FFC4455799C1A52:FB029C10575CC9EF:DCC44B7A2C4912E0
-6AF4AA1647F5D301:BCFB89E0F3FEF946:468B7763A174FB3F:99057856B861F898
-8BCF14590ECECAB3:8A8907B5BAA3C332:60E50468766A6688:ADC6C30CDD00F54E
-FB5984B0442353C5:59A6F97571EFBAAD:23A9AEAF310E7134:809E47BF2565701F
-52ED7FC58FCD4DCF:B9B761F8C8AFD67C:E9480E1E6AFBA1D5:23D1BA6B06632D52
-7DFEED75F6A1306E:DB7A16136E5B71B7:C82593A34F75DF42:B6D33655396C925A
-
-[DES/OFB]
-4E6F77206973207468652074696D6520666F7220616C6C20:\
-F3096249C7F46E5135F24A242EEB3D3F3D6D5BE3255AF8C3:\
-0123456789ABCDEF:1234567890ABCDEF
-
-B25330D1CAB11FDDFF278192AA2C935A9C7745733E6DA8:\
-39B9BF284D6DA6E639B8040B8DA01E469DBA4C6E50B1AB:\
-F871822C7FD1D6A3:B311792C8BC02EE8
-
-73AD356623A1D6E0717E838B9344B4FFF21BDA:\
-0C06E63E9E81D9976E16D2009255F917797D51:\
-5860F4A413DE6C68:527A1E050A9D71F0
-
-08A6091FA2987FDC682A8199A6D6BD1F:640B5033DCF26873FA8A34DB644F2BF2:\
-3307042DC775035E:99DE32FF0351509B
-
-[DES/CTR-BE]
-4E6F77206973207468652074696D6520666F7220616C6C20:\
-F3096249C7F46E51163A8CA0FFC94C27FA2F80F480B86F75:\
-0123456789ABCDEF:1234567890ABCDEF
-
-11919B328564DA68D9F4216AE1B4FA7C46AFC7AD5BB867DF1834D77A3023ECAB940725AB:\
-F40235A0B8B2EC0B53F3C0D8799497463638AD0CC3E07F0E8B8B0DC7605AE6AEAFBA2A88:\
-A67ABE525A0E5AB2:727BECDE9FCEA20A
-168A502D21D71F3BEB702BBF02D3F6D04B72EFF2F19EF01D217CC7AA739A67466AF3B14E:\
-3A73770D157C23EF8913D874CD92DD36C465679B2BC691DAA0DC6CD4591C4CA44D5D69D8:\
-CDB366CCD621D62B:1ACAAC3F760C674B
-24889A268E11AEF80852C4FC4893DBEBDF4CB06115FD533650CA39A639C659F47C3D5556:\
-782B24067A2C5D61BF6ED2E980F6BB16A0A6E0B5639B4208AE273C0BDC0311D65464F217:\
-EF510AA740BE98CB:74E74E01E5C72084
-3078866926F75D18239A3DA92EC9EB88D18393440B47D46A49D003F2C3B5D51C1CFE3FF4:\
-DE4D9632BE88235D717B36DE4C67B81CF3331E8925726CAD1BCC05126B87A6CD5D5DE3B6:\
-E8CBB756DE4FDEB0:AEE751205CABA9BE
-4602C97A25AFB1746DE8BC1A65AE0B635ADDAB9547A99421AD86AFB087997ABC1458F0CC:\
-754BD27902EE4248BEEE65D2BB035C9139F98735C85603BA9565EDAADE37A7FE29833DD9:\
-B050B286E47C6E6A:701F72AE37D31F2B
-E344E0C2E45990C451C75BF74406821B99D4EA5F56F67BB2F9B0EA52FF5D1BB25D82A181:\
-1A23AD101A776F902B8DB40E273A1F5EAE8AA1E43CBA52546F2EC50EF32960BDD05101D3:\
-445A14B76AFEFBC0:EE2DD8860B75788A
-2C3A117378B8DB1287CE8FE084EAA08EFCEB253DD4A92509EAD154E6AE483E25D2B790B5:\
-75235CB3E2BF7DD3ED893DA93AE25D7A34D43521DB620E2BC9072159357010E6D81E5884:\
-4B1B62B9D6B8F54F:036CC5145BCE2A01
-FBC7E48930ADF4A36DE18CABDE25ACDAC8F9AB727E3AA69FE8EC6F965C6E14EBE9AE437D:\
-B271913A8A58ADDF3C89132A15DF1263B63018CC8EE6763E6FCFB4DD5D4AA8EC4B3E2D78:\
-2E0F06AE7B1C30D7:05E144D6DB9E7939
-940C3FE78C56A0F922FBEDE7ADE31914C993BB84F5BC1557E5F8004CB75D7D339801FBBF:\
-9615A71536135E50946A8517E72A980CBB2378A3286F08E76E85E5FB62140C9B3720C7C4:\
-E6E85EABE538195C:B86615CDA5C9E9A2
-256ABA748AE0005A5F99F1C96F8A197E3867B8455A4D6BFD6795BBDB89062B222E6B0DD7:\
-2A6B043F07ACD99141C7AC616B7F89AB7E52174A41AFC1FD0C56BC77B9C2EC9CEC87A0A6:\
-9985CE7E0D79CFEF:25D1D57C3A6936F9
-44AC3E1333DE5CD00475317CBAD26AB4A812180DAA7405556C41335572F5A236C37CD36F:\
-155E5B86FC06AD433DAEFA05C329BC1407966220BA91EAC2FD32B35C5AD973D94A0B8792:\
-47550AB0F346ECB0:1C42F4559385E11B
-9DEDC376CFD97AE823AB2E0CB0072DF26DAADC4FD9316C7E8F4F796026DA9ECB8ED69DCD:\
-EDE3E69EE5B55AC758EB39E70E6533CC4D89C148F6AD68293E743CD82B9638F020EE589D:\
-098EFEE0D594C332:88D9C46E992B27AE
-
-[AES/EAX]
-B39AB9280E8E75FFB9A6C0423D94237757:A1:\
-32942F082B82885F3965397EC13315D8:79E2ABF57EAB5DCBB887FC38069FDA38
-
-F28FF0575837BBF9B18E1AF21F086271224BDC:DFA72B:\
-16EBB23CE362FE4F9D75D7FD330C57AE:13A112FDD1A803DADD153FCFF5E6FA0B
-
-79B15D05BD1198BCAFDC4E5479C94479EED48273:8EDCC43E:\
-5D83726C0764B9DE12E97C81D925BD12:E2614B57C71FC5DDE11AB56FF67AAD53
-
-6CF9258B79066C6D1D3CEF7DFDC07F1CD3A2C456:2CCE2B48:\
-898EEA34047E0896A49BD8EC9E5FEF10:86B46B759E771F7DD2F5D6FEC401474D
-
-2B098DF40219F5378FE910750AA62597BCE7F2BF91ADF6AB8933C113F81E9488:\
-C202A2C43538DFBED961D4C6B9628E3D:D41C09CE65EB3924456360D76B78C42D:\
-7A67F1AF9FD16E7832423FEBA5CD2879
-
-3592BF54500CAEA6CBB6AAAB7CB3BFBE::\
-CA0F81BA5479F3B8AC847B7EF116C2A1:29D2ECC2C99C3676E7B9F85AB3B1E57D
-
-4DA9BE08E753EA123DEAB8DFFBA315DB50:B9:\
-D71D44511C92B390AC9C7961506D9E5B:032E8F2C3E7E0B152DC087E20FB59CE6
-
-178CFF2FAA32FF902EC92AEB5B30834B5758:0ADA:\
-39F797C50D5BC13FE895367BF2ABB56C:58399D9AA144C8236655F51D81FFF7BA
-
-37ECF2F5E41D4DFDDA3DA85F1D82A3767E8360:3CD5B1:\
-DEC57BD1A4D6B9C0160E53492DEC88C5:3D60B53B4A64D1F9B6802AF9BD00AB9B
-
-3165D9ADB4E3CEC0831B85AF88C5787C0D145A92:09FEC8F9:\
-7A09C4F9265809EDF4BB32E3270D6F46:EEF79DD485F69FA5D0457DD94345D2BD
-
-05B76D5CBE49DE233B6F62E4D87763FDD0A210A84B:F3C0EAE690:\
-9FBD4E3CC8B0B54454788C5B68AAC81C:2F0269EAF6708D3B1B332EDB1E146BBD
-
-FF9CAF05A8107C410BFCDD14E3852C5A76F8EB5C116B:1F31923D5518:\
-85ABF08534075B6EE35AD7C550794BEB:AC962D0FE55AA2972BC2C8BDFF1ED584
-
-81655A74F4F64E21B004F3D04D56512A7D1EDCB9B20200:C7C8F67C72E962:\
-170247F224B15FE3D501DFDB21EEA1AA:46FB86732B98C18460897ADCFB643E12
-
-D81940ACDFB353AF804BB411C6950BD8FF9E15067B406830:06C456B3B74175FB:\
-CDC09E48511B3E38B75D14EA069BC885:CBF80EE76101BA67C5111A7C528F781F
-
-DE25F7B65F16113841D5AE12F80A1744A5F81B09EE5D29240C:0B2FC9C8FA81E7198E:\
-165372615FB7963B7A6E59364ADAE29D:401A0B4312344F41FD173B7FFF540D15
-
-BB873E2B7A879E53F513F1834C54853FC2037D9893F65824CCB9:DA2057C6401125A5808F:\
-2F32841E15A6A883EC5CE8032E563BB0:B33743A1061DC15DE3026E09A7EF98D7
-
-304864E3B8DA2359BAF5ED60C76DB298E2C12E94D18FC615F934BC:20DA4B54F8EDC93EE5DF91:\
-AD94D86D3D05ACCE0FED495B6FF5F23D:4DE497550471A059698E22A773013821
-
-8CBAFB5678D47121DC5F0CABA76F0A1A306B22C19B86C883CCA36F39:\
-26C2C7533B8481560FA3F226:\
-9D59713C92F96FA1CB0469662541540E:B4AEC9DB70912EAB15AF012552F44BF0
-
-7AEE2EA671EA8B5F25E99F000D181CBEDD36BEE605D35BB4AFE833CACA:\
-C0C7FF94C3588CEB45619BBA5C:\
-B98A22543794F9DA5C3419BD9A1FBFA3:CE98649597F858EF844335E5DFEF4198
-
-D0FE64F8842CF1A4C0750C6F11F8364E72A23D80D139900C9883CCB64090:\
-924A4112C3B76FF98D45355A60A4:\
-4AFC52C6B9C20C594DDA2CDD347E72C7:CF05111017D4C887CD55CC02B02DA6FA
-
-CB869382EB0644E9D00736793D5E19A56799CBF313F87EEAF28B7D997FD34B:\
-B545B07CAC05C6ABA080EFE09F1B58:\
-4AD8D6A4A2E9A16C690EF49ED125F92E:DA3EDE56EAE31D96839D85633DA0BC87
-
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-
# MARKER: Stream Ciphers
# Stream cipher format is plaintext:ciphertext:key
@@ -28577,7 +27393,8 @@ BD348966C075CE6B78BA2918258538ED
00000000000000000000000000000000000000:\
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# From Crypto++ via Linux kernel
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[Turing]
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generated by cgit v1.2.3 (git 2.39.1) at 2024-12-02 20:25:11 +0000