Add HMAC_DRBG

8 files changed, 2646 insertions, 22 deletions

diff --git a/src/lib/rng/hmac_drbg/hmac_drbg.cpp b/src/lib/rng/hmac_drbg/hmac_drbg.cpp
new file mode 100644
index 000000000..3227841f0
--- /dev/null
+++ b/src/lib/rng/hmac_drbg/hmac_drbg.cpp
@@ -0,0 +1,103 @@
+/*
+* HMAC_DRBG
+* (C) 2014 Jack Lloyd
+*
+* Distributed under the terms of the Botan license
+*/
+
+#include <botan/hmac_drbg.h>
+#include <algorithm>
+
+namespace Botan {
+
+HMAC_DRBG::HMAC_DRBG(MessageAuthenticationCode* mac,
+                     RandomNumberGenerator* prng) :
+   m_mac(mac),
+   m_prng(prng),
+   m_V(m_mac->output_length(), 0x01),
+   m_reseed_counter(0)
+   {
+   m_mac->set_key(secure_vector<byte>(m_mac->output_length(), 0x00));
+   }
+
+void HMAC_DRBG::randomize(byte out[], size_t length)
+   {
+   if(!is_seeded() || m_reseed_counter > BOTAN_RNG_MAX_OUTPUT_BEFORE_RESEED)
+      reseed(m_mac->output_length() * 8);
+
+   if(!is_seeded())
+      throw PRNG_Unseeded(name());
+
+   while(length)
+      {
+      const size_t to_copy = std::min(length, m_V.size());
+      m_V = m_mac->process(m_V);
+      copy_mem(&out[0], &m_V[0], to_copy);
+
+      length -= to_copy;
+      out += to_copy;
+      }
+
+   update(nullptr, 0); // additional_data is always empty
+   }
+
+/*
+* Reset V and the mac key with new values
+*/
+void HMAC_DRBG::update(const byte input[], size_t input_len)
+   {
+   m_mac->update(m_V);
+   m_mac->update(0x00);
+   m_mac->update(input, input_len);
+   m_mac->set_key(m_mac->final());
+
+   m_V = m_mac->process(m_V);
+
+   if(input_len)
+      {
+      m_mac->update(m_V);
+      m_mac->update(0x01);
+      m_mac->update(input, input_len);
+      m_mac->set_key(m_mac->final());
+
+      m_V = m_mac->process(m_V);
+      }
+   }
+
+void HMAC_DRBG::reseed(size_t poll_bits)
+   {
+   m_prng->reseed(poll_bits);
+
+   if(m_prng->is_seeded())
+      {
+      secure_vector<byte> input = m_prng->random_vec(m_mac->output_length());
+      update(&input[0], input.size());
+      m_reseed_counter = 1;
+      }
+   }
+
+void HMAC_DRBG::add_entropy(const byte input[], size_t length)
+   {
+   // Should we also poll the underlying PRNG here?
+   update(input, length);
+   }
+
+bool HMAC_DRBG::is_seeded() const
+   {
+   return m_reseed_counter > 0;
+   }
+
+void HMAC_DRBG::clear()
+   {
+   m_mac->clear();
+   m_prng->clear();
+   zeroise(m_V);
+   zeroise(m_K);
+   }
+
+std::string HMAC_DRBG::name() const
+   {
+   return "HMAC_DRBG(" + m_mac->name() + ")";
+   }
+
+}
diff --git a/src/lib/rng/hmac_drbg/hmac_drbg.h b/src/lib/rng/hmac_drbg/hmac_drbg.h
new file mode 100644
index 000000000..43729c7fa
--- /dev/null
+++ b/src/lib/rng/hmac_drbg/hmac_drbg.h
@@ -0,0 +1,50 @@
+/*
+* HMAC_DRBG (SP800-90A)
+* (C) 2014 Jack Lloyd
+*
+* Distributed under the terms of the Botan license
+*/
+
+#ifndef BOTAN_HMAC_DRBG_H__
+#define BOTAN_HMAC_DRBG_H__
+
+#include <botan/rng.h>
+#include <botan/mac.h>
+
+namespace Botan {
+
+/**
+* HMAC_DRBG (SP800-90A)
+*/
+class BOTAN_DLL HMAC_DRBG : public RandomNumberGenerator
+   {
+   public:
+      void randomize(byte buf[], size_t buf_len);
+      bool is_seeded() const;
+      void clear();
+      std::string name() const;
+
+      void reseed(size_t poll_bits);
+
+      void add_entropy(const byte input[], size_t input_len);
+
+      /**
+      * @param mac the underlying mac function (eg HMAC(SHA-512))
+      * @param underlying_rng RNG used generating inputs (eg HMAC_RNG)
+      */
+      HMAC_DRBG(MessageAuthenticationCode* mac,
+                RandomNumberGenerator* underlying_rng);
+
+   private:
+      void update(const byte input[], size_t input_len);
+
+      std::unique_ptr<MessageAuthenticationCode> m_mac;
+      std::unique_ptr<RandomNumberGenerator> m_prng;
+
+      secure_vector<byte> m_K, m_V;
+      size_t m_reseed_counter;
+   };
+
+}
+
+#endif
diff --git a/src/lib/rng/hmac_drbg/info.txt b/src/lib/rng/hmac_drbg/info.txt
new file mode 100644
index 000000000..f386db199
--- /dev/null
+++ b/src/lib/rng/hmac_drbg/info.txt
@@ -0,0 +1,5 @@
+define HMAC_DRBG 20140319
+
+<requires>
+hmac
+</requires>
diff --git a/src/lib/rng/rng.h b/src/lib/rng/rng.h
index 812b13527..c69c147e6 100644
--- a/src/lib/rng/rng.h
+++ b/src/lib/rng/rng.h
@@ -45,7 +45,7 @@ class BOTAN_DLL RandomNumberGenerator
       * @param bytes number of bytes in the result
       * @return randomized vector of length bytes
       */
-      secure_vector<byte> random_vec(size_t bytes)
+      virtual secure_vector<byte> random_vec(size_t bytes)
          {
          secure_vector<byte> output(bytes);
          randomize(&output[0], output.size());
diff --git a/src/tests/data/hmac_drbg.vec b/src/tests/data/hmac_drbg.vec
new file mode 100644
index 000000000..d244cd4ca
--- /dev/null
+++ b/src/tests/data/hmac_drbg.vec
@@ -0,0 +1,2405 @@
+[HMAC_DRBG(SHA-1)]
+EntropyInput = 79349BBF7CDDA5799557866621C913831146733ABF8C35C8
+EntropyInputReseed = C7215B5B96C48E9B338C74E3E99DFEDF
+Out = C6A16AB8D420706F0F34AB7FEC5ADCA9D8CA3A133E159CA6AC43C6F8A2BE22834A4C0A0AFFB10D7194F1C1A5CF7322EC1AE0964ED4BF122746E087FDB5B3E91B3493D5BB98FAED49E85F130FC8A459B7
+
+EntropyInput = EE57FC23600FB9029A9EC6C82E7B51E43E9721E4393EF9AD
+EntropyInputReseed = 841D276CA9519061D92D7DDFA6628CA3
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+
+EntropyInput = EBFDAD13C8F941D279DBB4DE8D7706DDFDAA279F5E4428D6
+EntropyInputReseed = F785C5B2F833B69B09B71A57CF5701D4
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+EntropyInput = 4FC0EC777EC5A5F3B9EA06831A36ACBB9E9ADD057DBB73A8
+EntropyInputReseed = 3367BA7C163F7B99A56AB64274EE64CD
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+
+EntropyInput = 85A41BAFAA923240DCF613A53E28D8535474E05FB59BA1EA
+EntropyInputReseed = CCB5E28B1F2493675CC4F63475A69B0D
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+
+EntropyInput = B64416EA406772F955FBD7DA30C67F6A42E0B9A889D55454
+EntropyInputReseed = E03A88205EAAFDD584DD54A40EA5C7DF
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
+EntropyInput = D549C3D26DF339DB88B81BEF795F5CF87C2733CE8E9C76D2FAF622DE5CF0A4C4941DD21C2028DDE261D94A13F6EF56EB2968174C8BFFDB9F11CE1DE6
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+
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+EntropyInputReseed = A8628BCC9BF64339936BC35B36BEB423B07D0987A4791ABE
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+
+EntropyInput = 7905311E1C3E62880033C9909CECFF0C81A1F351C81BB71D80E329C843C25C98052C74C25254F0AFCEE1998FC855874294C0EE2BD321D201E77E4640
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+
+[HMAC_DRBG(SHA-256)]
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+
+[HMAC_DRBG(SHA-384)]
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+
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+EntropyInputReseed = 46DF7F2F4A78CDA588758D692864779C5F8ECADB8F356E31F48DDBF5478FBE4E
+Out = 8057DDD85CFA68D2F676B58E0EBD6F47F2B782599AC554A868AFEF5EF9FACFAAAD233ED63771B4A8CC26610085B617FC8E3810197B1F072AF39A7B6BD495091FF27196A30304CA2DF769DAFD2DAD295568AEA98B144E97BEC1B972E023DEC779E19D9C9D0E59E5E291FC6AE2269BC49D9CAEFBC267859E713304A2B6DCB6450F758323DB30B6FA0176873168360B51C425832A6B50848B343842FC64DA603A26787E34745B3FE11144335E9A83D3FBF16844E8FDC71ED9955872E36088E2C757
+
+EntropyInput = BAC8043DB8017AB9E29497198D2AEF8DD9B48D594216271ACDB78C2520E0B4A2109BE67410132DCE355A17AAFDEC8657AFCC6E2BDB560B4264463E9EBBCDFBC9E05EF0D5ADA30CB86689DCBDA4D29D01
+EntropyInputReseed = BE932C4BEB1D48BA3B92C4646F959CDB846FB7D06E8B92116F7626ACB9F3AFBD
+Out = CB2D07A7A7F17E5796CC00C3CC269289CA0617115307F27AE5D5687C050C67AE232B40B0E515115F236A2D1FB5B42A48D08E3EE5CB351BB40C91055AB8C81CFDA8D6DCF1672231754C6E8FEC37C6A4D201B524D890223D13DCD36D4B039A30D6B5376517EAF32471964887B6CC36B6C75CB0794240DB7464592BE688EAC2FB64A7BA36D9A318009E02D9968CAEC61FAAAEA6AABC6CEF7B5A9FBDC12A806D353FF821EFB24C97799601257D20C53033C0193E6DC8FC13FC638FD3BC6C51EC17EA
+
+EntropyInput = E6FE191BAECC26D1AE13BB0946F2CB2F6A98E91A069804FB3D9C6B6959849EC1A4A38D486BBBA707319C339E3E2B7EE0EB1AA6239A39A5EFD1249715834CF1BCCF9BB170214DC4ABD2D5ECE1C1C34227
+EntropyInputReseed = DDB1BC0E396A7A7BADE7A01965C0E252B9DDBE2E8664857B3A6FCDF665205E9F
+Out = E60AD0D64A8F0D1D9707B0F9C354CBF6E2BC7F38D9F4B95C9D0649B00A273FDBB1ACDDE56D6AFF30D9CD1CCA38DD5CDB1F5B5ED4B42807B1DAA4BFBE9377FC659CBDF26CDA2B3B730BD643A05F1B5FC3A5B468D259D74D3A72BED102F28A962DAFBD42A64A86249D04CDE4E91E080A1B143B6E42585773856C1EAE30601A768A8DED03A6801630BACD5CB44DDDEBE7BD4B0BA3CFB09C37572FF9C5946D746CC82CED212CD0B954C3539D60F893767ED07FDFBB946D768B374C8A67D2BBA537E3
+
+EntropyInput = 6864E3357BE93E2D67E9EF978F12631C25E2490E2CC66052F85CD5A86B07BF9D3A9967235225C2704B910C4615EDA5D3A911F2BE3198670C7E6A395F8CF17600F389EE9BDEF1F2677EA808B391368E29
+EntropyInputReseed = 5B7D62A8387EC6C0E46688682FCB7E75043299D20284B7546A429599B847A7D2
+Out = 0D796346931A20B45C517FDE1B097C42ACD7848585D811D4BC39DB3224D066F5F8EE732495764FA30E557EEE81DBED190399D35BD0DE96B6E9ED47F9C24E0515C2B80518F29F88F6B9ED37B9F0A70003EF1663F0D2B330274B0E66F3BDC1620837BB718B6247309AE8355748209F8D44D158EDA17F34179CF66A8A1FB2D3EBAAAC41A9EC788CFCC76D53EB2EDE037C04BB3B5A2F90078E49A6DBE96E916DB908F525BEFBAC22CEB26F2A47B710B84711CF0FA4107BFED8ECC2849BC073F1E867
+
+EntropyInput = 261E565B21D0C6BAB57AC87510F4CC62AF8E0D4926795D8FFE9A32EBAA03D87E8CD31E78F5AFAF3557E470F8962518C7AF05E0B9C8B1F6AA3542DA53F32AEB66526CFC7D8F08C098D2B0E620F9F0D898
+EntropyInputReseed = C9BAE97B50D95CF9FF79AE976EE812650BA1D7009012596F400DD42D2080F3B0
+Out = EA2B1BA22CD3D7628A2A884E501212CB88241DA2AECF2F73365451A550E9AB7132246199017EBEEE3B2FF993400500442CFD7DBD3AD99F1EBC952F51AD0577AB494D4D1B7D4ECDCDB61331CAC064F12A6C0DF4CCA2C1137EDB9D4151FA6555545053407BA84F02B947CD8D9B0A57DF32C55CF0FECE1254FE88E45D06F845F30A665FE4C6F9B158CEC31EBFB8F5ECF14E094DAAD89CA5BF5D35CABF237B0FEAFD275F5911491DA1D7C30BEA46CDE672F3E6948B4A14E1152D8A7CDEC9EE3F90DC
+
+EntropyInput = 12EC506A4CB92C15A7C3BEF1B7206CB8C4D9D1077AA9075AD64EA08534B7CD52F6E59BA6CEE388F5DA7DAD606C84DF0999F754A426BE869E6F53BF602E2BBCA04B83FE89355ECDD4E6A8E46D82340067
+EntropyInputReseed = CA5997482F404157C390BC5758B0A110579B9233EC236B42C6F655CD04B0B2F4
+Out = BBD63D6AC1C7021BCD53BC7A4EC94FCCA11315135225FAFA9EB28E1B5B35E9951357F980D12FF15EC7D5724566BC1B23D59CBD7F6FE6E7D7E9376B56A1012EB6CFA077ECEDC01E978143996AE51F55DA4A589E2AB7DE79B59ABD8BABFAA03E1207760BC154C6B48A2C669EF334DAB20B47D7BD8457EF3FF9256A11D245388102159D80BE21494C4A2DFD7820F9FD62D2492C1AFFD2F5F939221388AE936805EB070C250B7F4E78DC6729C757327F3FD2B7F75159941BD4FFE64FCC7B195FFEB4
+
+EntropyInput = E600174F49F2A2D39569B23E507BDB34A0C841A1E6B2A68A304AF02B7194DFBFB8708C6266E0665E5BB28795071DAB3ADBF4DFB226612E343EA20B66378935FBFC726FD08764070D4F7288CC42C20672
+EntropyInputReseed = F47A00A287B61992D38F77BCA92B9ABE7E3A11599E100FAE573243A5F0B15EA8
+Out = 1506206A7E7A5A7BB9185280ABC102F47FA5A4B9A4CB897A76E327D3FFA07C852279D9DA79DC623D201DC4E270DBCE3396BC9C94AEB6A02D6E280C03056610A2F67CBEE5F25DC7FABB77796C3923AFF1A35AF12C6155331A4BAB27C8C8779A203758ED6C5471F174CAA332E6E2F530373D3C210973A3FBC74EB06E926D0F26957EBFF68E38823D8FD6FA81CA8D27D836F140E57907CA5D7EE3E8FF3F4C3EB435751D0119443D165C9A9B2B497E20586FE188073BAC6DD4C18BDCEB8B24EEE754
+
+EntropyInput = 10BA7017C84DC62544A932155501C10396419E4BA104871C81FB442B0A719C7BD283CF806D7E6263A3E6F975711B9BD7AD512CCEC77B6729B0E20551DBB4E01912271D22625A8E63B2DFCBD1884F0998
+EntropyInputReseed = D9C5BFCA1DB6ED0E62CDBFB209895092DBD350B3BBE8EAD1AAF0EABAE44A85F8
+Out = 2C1C62F7A0666D96C086DF3BB70F40243F926A2D6F47E24D3886DB8AABE351F3C7626B708F2F89F84F67CF34B553D656367AAAF8FCD74448F7524CCC663C326238F5EBC3DD6DB1474A0DED6D6311FFD5860453AE1AC73FD76ECAF219686DFE58D908C74B0A2BC7AD187BBE6DDECB72D3C54B68E5EB5DBC9582739847FC07CF6E1E1FD6DAF5B71B1412C125322096C4DC2842B89D1F43ABA9B485594CD260E1D267D74AF96798A6249BE623D5ECF2F9C6D816D7CCC596C2AB1313A020E3AEEC3D
+
+EntropyInput = E13FD026AACD9C37D771C6BE869B2FB98D5B32ED63B1FE93FA59CEA3255DC74D73D591CD860854B6A06727F1EC041169429775755087D933EDD967D4FF03926E9B761616E7FF99A3DD97EF1F610651D9
+EntropyInputReseed = 92E474D5E2BEB240677B4EAAC78446F3F48CB21CEDA8120D13FD5DDD6A4D8A34
+Out = D06D8E99830407BCC57CA3432E75ACBF3DBBCCEB54102CB619BEE3F9B085E8DAEAFA657E12E17709C9518B147F6572C3869D7E336054EA3560518DB9055B7E37E45DA62032D5B4A535E5E3B8DBA3DB4C10B58B227267193D775C34DF22159C3446BA15F768E03A64B64D4C39A3CFD48F3D916B4ADCEAB1AC6968546DC85C3D6543808D97E67A16D99EC23BF5DB0709376473792C7794D1EECFEB0BB092024562833A2AC65B815B167EA93D89CF24213CE25883B9D06F0C01B9B4EB89DDC8EFC6
+
+EntropyInput = 37E7F0FD4109D7AC355FA6A3B8DF6372D706D637EAAE8C1CEA569A17F2FC44504BD179EE4A711678C1A0C244C003B1F7022DF5A086614796DA69BDD8B06895816E049189D1F08F4E620C036E9371BF3B
+EntropyInputReseed = 96D979CD9A32EE85BD97199CA35DF590C36444C8B1AD900AB4E0442D5B288CF5
+Out = 68109368D80BD0A7379D525D7C6FE9E7EFC02F4F9DCB62774E4866CD0E8279512FC97DFBD6FB602526688B32F837596531CD675086DAEF8686A6D064214CA2BE7F1D54BD97BB54EF1578CECF3887DFABE246FC737A9E8592E30DE8B69E613EF7724806FAE960FAA39B29CAD75DD005D6D09DFD241C43E88E54DEBB43CBF498580927CF6A3CF652C45AC94F81743AD86A8E5C3AE1CD6835AB4261968BE78D4EB55F9C760FCF04413EE414246DEFABA6B1911D06DCEA9ACF7E87AA0B0C52BDCDFF
+
+EntropyInput = 7B9CC17409A64DE98171684205DF0177A8B75BC81103004288EBCF1B8CD646B2B0D9D1582FEDD2F9365E95B6C4CA984576B2F8A30B94F0C462196E3F0AD8820303A35D0304E46268A7AFA5ABA7C1E6EC
+EntropyInputReseed = 97F5006FF023F3FBB48452DCB8E3F4EFD8580303730407411F3A53D44D4B13CB
+Out = 8C457791B5E79A32C1A5BDB023A51FE82DE8217D12CC45A91AC15C11BC81BBD7F545A587422191C361F10E44FAFDF576D33A580F34682B9BA132CF5154F0FA3BB221CEE52B3C7227823858B487867D326D1D139C0DBD88BE8720346AA6AD9DDD8D7C55844B4FCB75C7B79F1091320B8DF9CEFD837A45CE9071013E74D67615FAC3E64189152296F0BB695A2C0DE27DF23A1CB2728F35259404A656E7B238812045301520584AD9E3A39D19F16A0ED6C64B5544E9AA4750A2F44445C4AC9E9A3C
+
+[HMAC_DRBG(SHA-512)]
+EntropyInput = 48C121B18733AF15C27E1DD9BA66A9A81A5579CDBA0F5B657EC53C2B9E90BBF6BBB7C777428068FAD9970891F879B1AF
+EntropyInputReseed = E0FFEFDADB9CCF990504D568BDB4D862CBE17CCCE6E22DFCAB8B4804FD21421A
+Out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
+
+EntropyInput = 8802D43F70294F532D2AF0BE0852B7A9EF6584E8B1631845306B583AB059111C0A88CC670B8A827E5057B902563840B6
+EntropyInputReseed = BA6F6919295F2206BC8738EEE2B4E7B4D3D492B945150C76EDF466CDFEDE4868
+Out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
+
+EntropyInput = A53ADCD8C8EA16BA80A57D9A55955197CE0D957BC92D8A0B548BEDCA149D78FFA9DDDB64710D5DEE89F1EDD37D8B55DC
+EntropyInputReseed = 2F50BD67E4A6AD0F3A01947E3673B10688178710BA2E7BB5F3DBD826C792C9D8
+Out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
+
+EntropyInput = EDCDDC13604E036F16687E36BB576CECD71B20DC78F070033D8B6F1F8125BA2D2D3EFDD9F01A93910EC29FC4718420A2
+EntropyInputReseed = 1385F8798218E1AEBB810379A0871B534E067B04D6EC9D523F7CDC8D45BED4D2
+Out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
+
+EntropyInput = 7EE0378EB594BD2EF129F35C9C1D87727C71AE472363A596467A2D71871863D8476B636E2FFDC0DB70BE5F7792AE8A8C
+EntropyInputReseed = D40D3F03347700D3CA515880CFD7962F8CE1DCDFC5FF134DAF552F8C2A911758
+Out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
+
+EntropyInput = FB35F3AD6B7618735DDD273D95B442A362B6822502A217E893BE3E36FD7BE4553CFDE0EDF5D9B5F15BE9288FF78FD0C0
+EntropyInputReseed = 9EBAC49E71484169170F343F4B21E244D1391F963112DC061075D9B7D26CD171
+Out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
+
+EntropyInput = A8DB61234723DA2F0883224563A1BC04C7B4D040A7DE3B659DEA0086BAB7F454C73D1F918FF29E2F98CEE562E05F5AD6
+EntropyInputReseed = F2781F5786228CF0CBB50D2C8D94A1307383D41229A90C0DCF142B94B704C56A
+Out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
+
+EntropyInput = 95D7851BCD43FC71CD9656737A0B05B5F83E55451C4672061230B9B34BFF71C025BD51CCC3F4C2A14407D5D569D250B8
+EntropyInputReseed = 40E24828C319C1B7FE093E5551F8ACD20167B2839C8D5CE9710532D69812B8A6
+Out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
+
+EntropyInput = EE7A62EFC8403A0F988711436EFACC44B5098F9A3526DAC49AD9343C80C98EEC51F064968EB37D1A8BC8604E3324E5A6
+EntropyInputReseed = 4A99315401A2DF8D8935E94FEA3FC5990107BAE19AF886415EDD6ECCC95EE942
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+
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+EntropyInput = B6E6BFD1FB785269F0CDB7EF27FD5B85F8B0852F2B9389C9F0D94A0DE919F60A008B4284EBDEF4FE10297C4F9CA8788BAB662F385EC3AA56CA1E492CFFFCD969C44F3998B0401CA06169D60143291105
+EntropyInputReseed = 989E6924AFB53B10EE87528CB57D053CB4AC21B0587C9A8316C2F54696436B2E
+Out = 728101E40803BF32D014CCFEC65B3C2BE6642874BEF91FE23EF7802D4FC78E943F9036288404CE71ADFC41AE215462F82DC77ACF3E10773D2A62503C40186FE4B0142A2CE36F2A73F0FC9CFA98485E7D59876CB4B68E703D20DEE8C51C5E68F22222C253B61CF59CF903DDA0D7CFE746B54C83EFA45AF17F34FB76834A5826F8A2CE7603CE69E819C2D066AF6E8FE670A2CA05BD0E5267F8B0DDB89EBAA9B70C88A15B6FB3D6EB1F30F14AE65DD7B358001DCB89BA17CBF4815443CC8628F1F707C90C9BDBE92402A5A6C64903AEFC4F207052AD741496CE2EA7BC5C3F8BDC97BD4C15EC1EE14DB8B10FE0AD6CFB919C3D91C67FAC7BAD3D3030BA09965BDC67
+
+EntropyInput = E01C2E06DB41D630C7E2C1ED5081959B494A6F71BE2B79F41251F87D51128653DA74E4B9A3FD9315BF35D9CB5931C52DF65ABAA5C4C543578B8A05A80E7EDC546244650A1FE3084CAC5B3CDCB5B2879A
+EntropyInputReseed = B07401D6E705FFE17B47047AEB7240D4B4078E5C2FAA2838F7ACC2C87EC5EE58
+Out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
+
+EntropyInput = 7219D935FE623BF89D5E755D899011418DD2C5B26918573881B2F689B2EFD80BF4B3001C35ED8C8CEAF2AD64D610ED338C48AFC7C0893C0C38BA0AA716E9775FA3F8D3A230797E2050AC90CBEBD495FD
+EntropyInputReseed = A7F1F2598015E629D22A3AFB815BAE721B2298B224EE5DE59E58DC238DC00EF4
+Out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
+
+EntropyInput = F3D86E49FF537EE60C3CACFA7895C075144C84DD6E2122A2C3DE17F9D89C0DF784C38250C98A8268B68812B183B311E225D5090F990B207821F9B21DEE87E0B94A3D2BF90C331EFBE0323ED582F45888
+EntropyInputReseed = F3088CD35771AD0E97E2838F08EA19D544E23AE7BE167AAC19AE473004590AAE
+Out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
+
+EntropyInput = A2C4730D71871D2072DF3AC8F10ADB962D1D28AB1C9E809C7C61C4B3783AC19C0F54B479CB981A43D1B6E7D3378F54ED2198E11600CFC152362F5C9AF31C288E366DE62EAC4BC8CCE2B8B1939712363B
+EntropyInputReseed = 6AFB327484B0965C04EC06D7202F1EA9ABD899E034F51A3852C7946068F417C7
+Out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
+
diff --git a/src/tests/test_rng.cpp b/src/tests/test_rng.cpp
index 84e291c6a..6d10de9a7 100644
--- a/src/tests/test_rng.cpp
+++ b/src/tests/test_rng.cpp
@@ -6,29 +6,51 @@
 #include <iostream>
 #include <fstream>
 
+#if defined(BOTAN_HAS_HMAC_DRBG)
+  #include <botan/hmac_drbg.h>
+#endif
+
 #if defined(BOTAN_HAS_X931_RNG)
   #include <botan/x931_rng.h>
-  #include <botan/aes.h>
-  #include <botan/des.h>
 #endif
 
 using namespace Botan;
 
 namespace {
 
-RandomNumberGenerator* get_rng(const std::string& algo, const std::string& ikm_hex)
+RandomNumberGenerator* get_rng(const std::string& algo_str, const std::string& ikm_hex)
    {
+   class AllOnce_RNG : public Fixed_Output_RNG
+      {
+      public:
+         AllOnce_RNG(const std::vector<byte>& in) : Fixed_Output_RNG(in) {}
+
+         Botan::secure_vector<byte> random_vec(size_t)
+            {
+            Botan::secure_vector<byte> vec(this->remaining());
+            this->randomize(&vec[0], vec.size());
+            return vec;
+            }
+      };
+
    const auto ikm = hex_decode(ikm_hex);
 
+   Algorithm_Factory& af = global_state().algorithm_factory();
+
+   const auto algo_name = parse_algorithm_name(algo_str);
+
+   const std::string rng_name = algo_name[0];
+
+#if defined(BOTAN_HAS_HMAC_DRBG)
+   if(rng_name == "HMAC_DRBG")
+      return new HMAC_DRBG(af.make_mac("HMAC(" + algo_name[1] + ")"),
+                               new AllOnce_RNG(ikm));
+#endif
+
 #if defined(BOTAN_HAS_X931_RNG)
-   if(algo == "X9.31-RNG(TripleDES)")
-      return new ANSI_X931_RNG(new TripleDES, new Fixed_Output_RNG(ikm));
-   else if(algo == "X9.31-RNG(AES-128)")
-      return new ANSI_X931_RNG(new AES_128, new Fixed_Output_RNG(ikm));
-   else if(algo == "X9.31-RNG(AES-192)")
-      return new ANSI_X931_RNG(new AES_192, new Fixed_Output_RNG(ikm));
-   else if(algo == "X9.31-RNG(AES-256)")
-      return new ANSI_X931_RNG(new AES_256, new Fixed_Output_RNG(ikm));
+   if(rng_name == "X9.31-RNG")
+      return new ANSI_X931_RNG(af.make_block_cipher(algo_name[1]),
+                               new Fixed_Output_RNG(ikm));
 #endif
 
    return nullptr;
@@ -44,8 +66,6 @@ size_t x931_test(const std::string& algo,
    if(!rng)
       throw std::runtime_error("Unknown RNG " + algo);
 
-   rng->reseed(0);
-
    const std::string got = hex_encode(rng->random_vec(L));
 
    if(got != out)
@@ -57,15 +77,54 @@ size_t x931_test(const std::string& algo,
    return 0;
    }
 
+size_t hmac_drbg_test(std::map<std::string, std::string> m)
+   {
+   const std::string algo = m["RNG"];
+   const std::string ikm = m["EntropyInput"];
+
+   std::unique_ptr<RandomNumberGenerator> rng(get_rng(algo, ikm));
+   if(!rng)
+      throw std::runtime_error("Unknown RNG " + algo);
+
+   rng->reseed(0); // force initialization
+
+   // now reseed
+   const auto reseed_input = hex_decode(m["EntropyInputReseed"]);
+   rng->add_entropy(&reseed_input[0], reseed_input.size());
+
+   const std::string out = m["Out"];
+
+   const size_t out_len = out.size() / 2;
+
+   rng->random_vec(out_len); // gen 1st block (discarded)
+
+   const std::string got = hex_encode(rng->random_vec(out_len));
+
+   if(got != out)
+      {
+      std::cout << algo << " " << got << " != " << out << "\n";
+      return 1;
+      }
+
+   return 0;
+   }
+
 }
 
 size_t test_rngs()
    {
-   std::ifstream vec(TEST_DATA_DIR "/x931.vec");
+   std::ifstream hmac_drbg_vec(TEST_DATA_DIR "/hmac_drbg.vec");
+   std::ifstream x931_vec(TEST_DATA_DIR "/x931.vec");
+
+   size_t fails = 0;
+
+   fails += run_tests_bb(hmac_drbg_vec, "RNG", "Out", true, hmac_drbg_test);
+
+   fails += run_tests_bb(x931_vec, "RNG", "Out", true,
+                         [](std::map<std::string, std::string> m) -> size_t
+                         {
+                         return x931_test(m["RNG"], m["IKM"], m["Out"], to_u32bit(m["L"]));
+                         });
 
-   return run_tests_bb(vec, "RNG", "Out", true,
-             [](std::map<std::string, std::string> m) -> size_t
-             {
-             return x931_test(m["RNG"], m["IKM"], m["Out"], to_u32bit(m["L"]));
-             });
+   return fails;
    }
diff --git a/src/tests/test_rng.h b/src/tests/test_rng.h
index b3da5f08a..6a5052973 100644
--- a/src/tests/test_rng.h
+++ b/src/tests/test_rng.h
@@ -54,6 +54,8 @@ class Fixed_Output_RNG : public Botan::RandomNumberGenerator
          }
 
       Fixed_Output_RNG() {}
+   protected:
+      size_t remaining() const { return buf.size(); }
    private:
       std::deque<byte> buf;
    };
diff --git a/src/tests/tests.cpp b/src/tests/tests.cpp
index 05fbebc89..f1f5b5323 100644
--- a/src/tests/tests.cpp
+++ b/src/tests/tests.cpp
@@ -67,9 +67,9 @@ void test_report(const std::string& name, size_t ran, size_t failed)
       std::cout << " " << ran << " tests";
 
    if(failed)
-      std::cout << " " << failed << " FAILs\n";
+      std::cout << " " << failed << " FAILs" << std::endl;
    else
-      std::cout << " all ok\n";
+      std::cout << " all ok" << std::endl;
    }
 
 size_t run_tests_bb(std::istream& src,