diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 17cc21714..211ba3cf9 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -16,11 +16,12 @@ repos: hooks: - id: trailing-whitespace - id: check-added-large-files + exclude: ^config/local_ti_files/known_fp_hashes\.csv$ - id: check-docstring-first - id: check-merge-conflict - id: end-of-file-fixer - id: detect-private-key - exclude: .*dataset/.*| + exclude: .*dataset/.* | (?x)( ^config/$| .*test.* | diff --git a/config/local_ti_files/known_fp_md5_hashes.csv b/config/local_ti_files/known_fp_md5_hashes.csv new file mode 100644 index 000000000..63024be61 --- /dev/null +++ b/config/local_ti_files/known_fp_md5_hashes.csv @@ -0,0 +1,8220 @@ +# This file is constucted by using https://github.com/Neo23x0/ti-falsepositives/tree/master +# This is a list of typical false positive hashes +# Description, MD5 +1024 bytes 0x00, 0f343b0931126a20f133d67c2b018a3b +1x1 pixel JPEG, c5e389341a0b19b6f045823abffc9814 +1x1 tracking pixel GIF, 325472601571f31e1bf00674c368d335 +2048 bytes 0x00, c99a74c555371a433d121f551d6c6398 +404 error message, 8e325dc2fea7c8900fc6c4b8c6c394fe +404 error page, 60ac8e889a1c2af330432bf793164a14 +4096 bytes 0x00 - sometimes caused by an AV, 620f0b67a91f7f74151bc5be745b7110 +Empty Word document, e617348b8947f28e2a280dd93c75a6ad +Empty file, d41d8cd98f00b204e9800998ecf8427e +File filled with 99 zeros - sometimes caused by an AV, fa8715078d45101200a6e2bf7321aa04 +File that contains 2, 10400c6faf166902b52fb97042f1e0eb +File that contains 44 43 48 01 18 40 80 25 03 00 06 00 DCH..@.%.... (unknown), 4b6c7f3146f86136507497232d2f04a0 +File that contains the word 'administrator', 200ceb26807d6bf99fd6f4f0d1ca54d4 +File that contains the word 'foo', d3b07384d113edec49eaa6238ad5ff00 +File that contains the word 'yes', a6105c0a611b41b08f1209506350279e +Hashes of 0 b'\x00', d41d8cd98f00b204e9800998ecf8427e +Hashes of 1 b'\x00', 93b885adfe0da089cdf634904fd59f71 +Hashes of 10 b'\x00', c9ea3314b91c9fd4e38f9432064fd1f2 +Hashes of 100 b'\x00', 3b3485fbfd90ddf7028cf9fa3128cd75 +Hashes of 1000 b'\x00', fdd8cd38dd93555259c0c61ba7498206 +Hashes of 1001 b'\x00', ad1a201db9e2349a840e7fe0e3bf8d2d +Hashes of 1002 b'\x00', 3d2ca43531d71ab30acddceb74c0e6c1 +Hashes of 1003 b'\x00', 4de815a6f392f22933edbed5bfe0c1ea +Hashes of 1004 b'\x00', 3ad258c1fcf267ba4fa0ae3dcf2a827b +Hashes of 1005 b'\x00', a4cd1f5aa72c80f274fdd6417aff798e +Hashes of 1006 b'\x00', a447f418a8ea9bc28a46adb39236f23a +Hashes of 1007 b'\x00', cb23e94b3635001ae53c72929b4f8134 +Hashes of 1008 b'\x00', ef2391a2f6cc7a47101de9370344e02b +Hashes of 1009 b'\x00', 27b9e9f2e7f156c5561a519784dd9cc0 +Hashes of 101 b'\x00', 25ab1f455d011960e05afe6647d498b3 +Hashes of 1010 b'\x00', cc2c4d19ddc8daa6a05a7e25f60b4147 +Hashes of 1011 b'\x00', fe381e747af150f064a8859c8616b7f1 +Hashes of 1012 b'\x00', 29f9585e08461cab3b52036f252c3535 +Hashes of 1013 b'\x00', 680941c4b9ae1f81e33bf2eeeaace663 +Hashes of 1014 b'\x00', ca20aacdd18d981d47446bb7f8ada684 +Hashes of 1015 b'\x00', a4c3cb906f12c5bb9408c8f6a8885d6d +Hashes of 1016 b'\x00', f2e5df83a08304d379e39133d1f2de6c +Hashes of 1017 b'\x00', 997e3cc09988c140a8f314944ed71315 +Hashes of 1018 b'\x00', f1dec3e298245a6e7a7dd97ec60e2602 +Hashes of 1019 b'\x00', 4d0af596a7432b37fde606e9cd04f833 +Hashes of 102 b'\x00', c972215a00c08bd4f69fb460d1c8b148 +Hashes of 1020 b'\x00', 19011ece6d7a951afc2de0cdc48f5208 +Hashes of 1021 b'\x00', 996fa941de4a6e85468f5f04d3c1c06c +Hashes of 1022 b'\x00', 557ad1dade81d969cc6193152ae1f620 +Hashes of 1023 b'\x00', e93c30b166585fc831da9908a70b7098 +Hashes of 1024 b'\x00', 4df05865469d38c7c3ed8c042b1420c6 +Hashes of 1025 b'\x00', c12878be2ce09dd357dfafff64676354 +Hashes of 1026 b'\x00', 85f47cedf9634954b5e2e221797d487f +Hashes of 1027 b'\x00', 4201f3fec5475440106a8ac5789fc29a +Hashes of 1028 b'\x00', 8b45c1b96132f43cdd4f0f4c8cb1e323 +Hashes of 1029 b'\x00', 6d799c4b6e19d83c5ff1f60528e81b7a +Hashes of 103 b'\x00', b002d22b446750abb0bef73745408c4a +Hashes of 1030 b'\x00', ce26a7925e7aebac490b8c7904013689 +Hashes of 1031 b'\x00', b56db9f16c7ef8eda9abb26310d7d5b4 +Hashes of 1032 b'\x00', b2e23b0313aa17baf42d4282046b1b18 +Hashes of 1033 b'\x00', 9be62c69d321c4a414d91f0e7599ee8f +Hashes of 1034 b'\x00', a545c730d8b0fd8bbfe08f024a92e761 +Hashes of 1035 b'\x00', d21b51bf6d7f42daba709f30b52cb8e3 +Hashes of 1036 b'\x00', 60e97056c07600e06bda62e0d9f923c2 +Hashes of 1037 b'\x00', cd0b7bc634d3755030e9e6e1d85e2405 +Hashes of 1038 b'\x00', 197453d4fd920adfbe622c927b1e4414 +Hashes of 1039 b'\x00', 72636df6b299fb02b4ab2b7b9289958c +Hashes of 104 b'\x00', 496e4dc994b6ed0947673f8af9affabb +Hashes of 1040 b'\x00', fee923a59fd0859f59ac8149bcef95ff +Hashes of 1041 b'\x00', 0a08824b8988d7090025f188f15702f7 +Hashes of 1042 b'\x00', db9cb629442935713cb88d0e2dab90dc +Hashes of 1043 b'\x00', e10dd135f408f25fa7ae75d402f20846 +Hashes of 1044 b'\x00', b68c36a3d6bb4b197be824d36b109428 +Hashes of 1045 b'\x00', 675a38a07c1ff69b37fd57b152aa891a +Hashes of 1046 b'\x00', 2e7ee907ba962127bb366c74e1ab6d53 +Hashes of 1047 b'\x00', 0e7f3397c708cb3c8c9f51a8733ace1e +Hashes of 1048 b'\x00', 9edd108786a072abb98489e97a37e75c +Hashes of 1049 b'\x00', fd1bf972acd4aa69ce3b03d0dfcfe82f +Hashes of 105 b'\x00', 0efb23e9857a7a91cca713b66fe0e858 +Hashes of 1050 b'\x00', 95aba93d2fb739d85b1730dd3b6d895a +Hashes of 1051 b'\x00', 90acd2575661fa9ca6f7d6d83bbe76a0 +Hashes of 1052 b'\x00', fd266e9f00ae39a40ab42325d47adaa4 +Hashes of 1053 b'\x00', d7517c3ee0f102f67420f3f313be84f3 +Hashes of 1054 b'\x00', 8a6d54a6d330a1603b2ec5a3b85a76fd +Hashes of 1055 b'\x00', 799bbe1e9b50abbe3c312eecc0885642 +Hashes of 1056 b'\x00', b70652ffeffebe5648d80c9789437609 +Hashes of 1057 b'\x00', 6bc9604f8a803d9bc9c108457c053180 +Hashes of 1058 b'\x00', 7e66d2b1f6a5f4db5c7bae9e8e367f19 +Hashes of 1059 b'\x00', 7116cc0f39f5e1c0cd835beec45a762e +Hashes of 106 b'\x00', ecd35f72b3cbc7d6297533bd9ee0c9e7 +Hashes of 1060 b'\x00', b64d87ea5442c1129888b9f5f7fb90d7 +Hashes of 1061 b'\x00', c0fc6eaa31d18aa2e6634a9f1c6c4e7a +Hashes of 1062 b'\x00', bb16deaf3be081c172309c6c73a56c6a +Hashes of 1063 b'\x00', 87b3ad1f994d50135ef4166d96688cfa +Hashes of 1064 b'\x00', 3b4d1ca7341c825838eadddcc8b0f1ba +Hashes of 1065 b'\x00', a633036548d0e4c8d33adb5ae226ebd5 +Hashes of 1066 b'\x00', 6628b19aefc34cbdbbf6bb017bc50dc2 +Hashes of 1067 b'\x00', 018ea7088d87a616164f2a7b43111788 +Hashes of 1068 b'\x00', 272fe1f669973b3ae607b1966d0041eb +Hashes of 1069 b'\x00', 88c3c543e728fe48fcc6f66a56654573 +Hashes of 107 b'\x00', fef03c3cc17571b3d7ec6e71e295aad7 +Hashes of 1070 b'\x00', 2debe015c54e1312b886236ea5526b04 +Hashes of 1071 b'\x00', 26dd45a7407a83c738c25b33b8ab62ee +Hashes of 1072 b'\x00', 0db9921080914c4462a139212811b7fe +Hashes of 1073 b'\x00', 9febacaf7ec131d973389b5c8548e370 +Hashes of 1074 b'\x00', 34c852bfe31ec7d46062a41e72bfe98d +Hashes of 1075 b'\x00', 09b2348d3726992880720b614d920f5a +Hashes of 1076 b'\x00', 246bd29b8ad6bb29034500b030902787 +Hashes of 1077 b'\x00', 0e49aa83adacf98c803e2877b01f7fad +Hashes of 1078 b'\x00', 309f7433f80d7d30f0398460ccf90399 +Hashes of 1079 b'\x00', 3a70c5b6388df9e7ade6ffcaffd2b7f7 +Hashes of 108 b'\x00', 1c95eb40a91846c83c141c846892cb4b +Hashes of 1080 b'\x00', a7563bc1f6b34d1d1ee095b87980ffcb +Hashes of 1081 b'\x00', f4bb603c6165a9228aee7dd5876b4224 +Hashes of 1082 b'\x00', ce8437efe9e430b595282a6386c20715 +Hashes of 1083 b'\x00', 250ce932a2ef6eaf5e8700e6445bd9ef +Hashes of 1084 b'\x00', 483d1667cbf2f6897d2bcee2f11d11f6 +Hashes of 1085 b'\x00', b9baefcd740a1a6872b8f037baff7d0a +Hashes of 1086 b'\x00', 621fcc3e546c588dfaf17e6adaff7360 +Hashes of 1087 b'\x00', 39ff0ea6e3bd796b69502fe04f8633aa +Hashes of 1088 b'\x00', 6827a5d08940d200be0375b9d526892d +Hashes of 1089 b'\x00', da611dc0d779816e657c6c51597eae2c +Hashes of 109 b'\x00', a2dd0cff129b1f3299a0fc66ef743345 +Hashes of 1090 b'\x00', 61e6c090748a8608a793d86f721f2645 +Hashes of 1091 b'\x00', 4def33273a29c7cd41ee18c5dfa83929 +Hashes of 1092 b'\x00', 0068940f9a34883f549ef1230372dcc5 +Hashes of 1093 b'\x00', 7700e3efae5b1a492272abbcc2a001fa +Hashes of 1094 b'\x00', b2bb9d950bb563ac509191fd8a9b906f +Hashes of 1095 b'\x00', 491de16c7dd2e1807882d777f4291fdc +Hashes of 1096 b'\x00', 65ca4612ddc690b4510d4ce4f1c92c95 +Hashes of 1097 b'\x00', 205b497c3050aeb6b5552827d07d9479 +Hashes of 1098 b'\x00', f1bb70edf9d4466838a03781503e984d +Hashes of 1099 b'\x00', a1c84ae2848d697c50b5533ced342401 +Hashes of 11 b'\x00', 402535c9f22ff836ea91dd12e8b8847b +Hashes of 110 b'\x00', e621971eef59e6424c1b23702c36eca9 +Hashes of 1100 b'\x00', 7bb7f31c4f51d645014d94b375cf7d3a +Hashes of 1101 b'\x00', 6d594ca87a8be8014a718167b67e5e50 +Hashes of 1102 b'\x00', 2e8a263d2a148bb58dbe4f60917c3158 +Hashes of 1103 b'\x00', ab3ab45aba01be95e90a67b5c852a94a +Hashes of 1104 b'\x00', 7501d4dce697130b2699349ac4970b10 +Hashes of 1105 b'\x00', a091f1dd4b70fd8e1677b6a43e6f52c0 +Hashes of 1106 b'\x00', 646f196f6b4a69202dd5f3b9c5d877bb +Hashes of 1107 b'\x00', ce2979afc9ce0aea2ab954e8804ea6cd +Hashes of 1108 b'\x00', 45df0138c462615870c3bd6dffd1e80f +Hashes of 1109 b'\x00', fcd121be4fd94563520b18a7353a152c +Hashes of 111 b'\x00', 92ef391c5213ebe4f294b8e23152f9fc +Hashes of 1110 b'\x00', 830e3bd81df1dd2cdace77ca47e4ddea +Hashes of 1111 b'\x00', 8a7fc4e2106bf61975900187b28eacdc +Hashes of 1112 b'\x00', 196f7d06657383533836ab95a556940f +Hashes of 1113 b'\x00', 6cfa64bf69062b2830d2b7110acb0b01 +Hashes of 1114 b'\x00', 5c8ad90c50752de7b5bf903ca330d670 +Hashes of 1115 b'\x00', 7033ad948ae74b33eca81cb8f57a4abe +Hashes of 1116 b'\x00', 65a41a7df3131c742c8b7a3d2014e4d9 +Hashes of 1117 b'\x00', a3d2be3b0f03854003e4230960b0c52b +Hashes of 1118 b'\x00', a23cc71fdf26cd846eef924f8b540480 +Hashes of 1119 b'\x00', f3e4d4056d67bf7f8475641977f52cb5 +Hashes of 112 b'\x00', f8ea18115954224e5dcd8a42a2f10b66 +Hashes of 1120 b'\x00', c70d48f54442c5d446ba2b0950d569d2 +Hashes of 1121 b'\x00', e8ab730fd176ea2c2293415fcb1c6a95 +Hashes of 1122 b'\x00', a77332014bde7261cd5442d755bd508c +Hashes of 1123 b'\x00', a8b72b4770c0cc5f444ea9414f740215 +Hashes of 1124 b'\x00', 6efe009c733fd2363c77f5edf9528bc3 +Hashes of 1125 b'\x00', 1914ad4225aa6fe9f53b716287c0b01f +Hashes of 1126 b'\x00', 9a1d011bbcab9dd784c7155b1ea2b05d +Hashes of 1127 b'\x00', 506bd8ac63a7871f3649e0c6b7ce8b35 +Hashes of 1128 b'\x00', 8c785917525175483649350d92516623 +Hashes of 1129 b'\x00', 3f7750db216e9985bdb6db10ad605275 +Hashes of 113 b'\x00', c4533faefb546a3ea1d0032b35b68cc4 +Hashes of 1130 b'\x00', 988f1e64015ec74136dca4df4f801e5c +Hashes of 1131 b'\x00', 0cc6cc3316dfb61b67fb88f4e3b28123 +Hashes of 1132 b'\x00', 0fea1b867255568d3d9088e987d4a07d +Hashes of 1133 b'\x00', b7c6e14903edcb1d1b01fdfa338cd9bc +Hashes of 1134 b'\x00', 48b0cf1c78017aa2941a9032f46419f4 +Hashes of 1135 b'\x00', 6be37b5d50753ac47df915d1dc962ab5 +Hashes of 1136 b'\x00', 467952ea505ddc427f895ab46a77be4f +Hashes of 1137 b'\x00', 6830b6a0d4c4a08b9708c07eaf57323a +Hashes of 1138 b'\x00', cd0c0bc53036ffaac8e2bc320a4ab7da +Hashes of 1139 b'\x00', c2d3e876270938c2f478f2a6c6dcf37c +Hashes of 114 b'\x00', 001e73b6915f4128065470cdd3766fcd +Hashes of 1140 b'\x00', b22ed960c726a004d6504572e78911cd +Hashes of 1141 b'\x00', 0a56943bbe73e0b134945840a3db92fc +Hashes of 1142 b'\x00', 4e4c02b4d17f9680b0a3409b9dcdfb99 +Hashes of 1143 b'\x00', feddc821b2f1d834960fa20043ac0306 +Hashes of 1144 b'\x00', b13e9ac7b03ac0f095b149cc439560be +Hashes of 1145 b'\x00', 9618220a4b407c63c044b3fb654b5a13 +Hashes of 1146 b'\x00', fef2ebbf7c64df98e5b02296898b5bff +Hashes of 1147 b'\x00', 638f2143db6798fd25416432f70bdd95 +Hashes of 1148 b'\x00', 175d41d94477390680264f76d7c88f18 +Hashes of 1149 b'\x00', 6a8d546b176d0ee4757a198986fb6d92 +Hashes of 115 b'\x00', b1a52b21805d70198c93869e9386665d +Hashes of 1150 b'\x00', 56ef5669f0fc58b0e641f344acfca85c +Hashes of 1151 b'\x00', d3f18fd79a490e15a3646dc4b6dbda81 +Hashes of 1152 b'\x00', 347972a3505865c5940e08f3cc188651 +Hashes of 1153 b'\x00', aa7effbe2cae830e7e721aa89500fbc6 +Hashes of 1154 b'\x00', 45adb31f240cc054a3f5dbef07dbda68 +Hashes of 1155 b'\x00', 6d11788d6a7d24f98d615fd921ff7bf7 +Hashes of 1156 b'\x00', fd2f0482138267d9bd4799cc17a03fe8 +Hashes of 1157 b'\x00', 22d2d3ce7dc6fdbbc6067a83e4635a87 +Hashes of 1158 b'\x00', 93e84ad87a68745666a7fedadfe6224a +Hashes of 1159 b'\x00', a0c55baba6887772afa08f86a9f092d4 +Hashes of 116 b'\x00', 47372909daadd2df19527e367de09b6d +Hashes of 1160 b'\x00', 28286360531b897f048c2b5eeca7aa29 +Hashes of 1161 b'\x00', 25e41512ce7d034865fb0338b52c18f3 +Hashes of 1162 b'\x00', a5604ca356cd06f2f87d8f4fe2802dda +Hashes of 1163 b'\x00', 14546896f942a4185dfe451fd2324231 +Hashes of 1164 b'\x00', 2212087c7a9ee25f27eced2edfb82e96 +Hashes of 1165 b'\x00', 7aea7bc78a05d37a3cb7eba48807bea8 +Hashes of 1166 b'\x00', 542730265b2bd929388f8c46f722837f +Hashes of 1167 b'\x00', 0da5d175266d36d4c36858528982c5a3 +Hashes of 1168 b'\x00', 0ed796d76d74afe7bbbc476543f9bb1c +Hashes of 1169 b'\x00', 2c636bb6e4bc5d213b5a94b9d1afd2d8 +Hashes of 117 b'\x00', bd9530cd0252eb5d3bc14c6e84146b7b +Hashes of 1170 b'\x00', a640d404838e4129310b77458771bc4d +Hashes of 1171 b'\x00', deaa5d48e69ec4174c69468215eab241 +Hashes of 1172 b'\x00', 4f4ad24dac90d37d1186c18be4475084 +Hashes of 1173 b'\x00', b7d68edde164645aacac5c08dec8d1bb +Hashes of 1174 b'\x00', 86d3fcfd69c54cc0ea5766a9956e1bab +Hashes of 1175 b'\x00', f741f12b6b1d7cee35e1ff3520fd48ce +Hashes of 1176 b'\x00', 4141a8e641b3c8925024336f0328be9a +Hashes of 1177 b'\x00', 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4e60552e7de28a4a348feec4756eec32 +Hashes of 1974 b'\x00', c519b4950630945430dac3f0b7ee277d +Hashes of 1975 b'\x00', 3c672c57a43fa658b89c8cca6a005e5f +Hashes of 1976 b'\x00', b100892a98bd5c2c375dfadf1e648951 +Hashes of 1977 b'\x00', 825e08c3b012d248ea136606b83d557c +Hashes of 1978 b'\x00', b3bc8eebc393be2da18bb3df5f57303d +Hashes of 1979 b'\x00', 4c69ed725727ff1e5c93b5da2721b302 +Hashes of 198 b'\x00', 44408d3443c2a33634313d5ae25c7000 +Hashes of 1980 b'\x00', f9a0558e38a245c1f25aeeb1d34362b2 +Hashes of 1981 b'\x00', 5b2dd0e36be999c8358c3e343a3b7e7d +Hashes of 1982 b'\x00', 06915953c8cdd75e8a9f632e1894831f +Hashes of 1983 b'\x00', 0773cf36684f0caf833186e306017d7c +Hashes of 1984 b'\x00', 18b96d6c1a31b445703ff0e3e1aba759 +Hashes of 1985 b'\x00', 453808d0ba030a782498d5091a056fc8 +Hashes of 1986 b'\x00', 6957b33e70e61649207fc777d833ab1b +Hashes of 1987 b'\x00', a92b599fab88b071b8aec2024ed0cc25 +Hashes of 1988 b'\x00', 8bfd3e10eecd46e95bf3b33c3a86fac8 +Hashes of 1989 b'\x00', 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+Hashes of 844 b'\x00', d4333b9b32093f63dec4ba4add6d4479 +Hashes of 845 b'\x00', 8b9d10c18c8c8ffc227739164e6a9dbc +Hashes of 846 b'\x00', fe73be800e529352e44c6caf51f6ea93 +Hashes of 847 b'\x00', 0cfb3d19d277c2a6b0c03035a71b4d6f +Hashes of 848 b'\x00', 73653c9e46e67e620aa6ed0caef392d6 +Hashes of 849 b'\x00', 8ae5a3705b2e25e1495e1d642e8b8433 +Hashes of 85 b'\x00', 3558dec16100bbb347ec1ebb387452b6 +Hashes of 850 b'\x00', a8e3d24a778af361cadaba115fe50d24 +Hashes of 851 b'\x00', d7758e7aec8ca9921c7b0a9d54f63a02 +Hashes of 852 b'\x00', 8aad56e1ef921bb7624d2989204038d5 +Hashes of 853 b'\x00', 739034d1cfe97e3085345944f113df57 +Hashes of 854 b'\x00', f8eed8624e8bc675e0e7212cc0058a84 +Hashes of 855 b'\x00', 43791ef12b5ab02b3540cc14f18ef3bb +Hashes of 856 b'\x00', fffe27c71763b84431fe8d8ffb5f156e +Hashes of 857 b'\x00', 85a76cf0789f9fa14b7f789151be28ba +Hashes of 858 b'\x00', 4006f2e4539e4fd42db3596372087854 +Hashes of 859 b'\x00', 92d0207c07e22aaa8b92908a0b9743e9 +Hashes of 86 b'\x00', 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+Hashes of 876 b'\x00', 8e2eaea0ddd183fe13b601439c79f63f +Hashes of 877 b'\x00', ff63afbe271f39b1bcc9527f3f28cfc3 +Hashes of 878 b'\x00', 97fd425e6d2272f73ba62308db7b2055 +Hashes of 879 b'\x00', 98fdd91aadc098fb110ca57dedf18c0b +Hashes of 88 b'\x00', 122945cd43ef89794519cc5748c8303a +Hashes of 880 b'\x00', 053bb9ec55a402244ec75f7b344317c6 +Hashes of 881 b'\x00', d7c10f9f7ad5c1633a2fd703b492970d +Hashes of 882 b'\x00', e03b976a059784d0d6ae5a74f7d15aac +Hashes of 883 b'\x00', bc6374da83ac3860eb530d605922aa75 +Hashes of 884 b'\x00', 388bc1b940aee3d5934da4af13c599d0 +Hashes of 885 b'\x00', 92456e0e0a1e4767b7843967cdd5a8a3 +Hashes of 886 b'\x00', 66f64fe49014b426d40cbd691f2b3232 +Hashes of 887 b'\x00', 049a77378c94f26c8ad0c80cd9d03919 +Hashes of 888 b'\x00', 0563793adb1736e1ac5e082f31e82517 +Hashes of 889 b'\x00', f9dc01bb4dd83340e38875a6e52961c8 +Hashes of 89 b'\x00', 64a0af69d6fa84671d8797bb79a62186 +Hashes of 890 b'\x00', 170849478faac6dd5d9008376713a0cc +Hashes of 891 b'\x00', fc6de2811dfae7e87ae9a86854112864 +Hashes of 892 b'\x00', bd81d319e08e077caa0883770ccd1749 +Hashes of 893 b'\x00', 31a1cd71c1a11300d2213e889a650e0e +Hashes of 894 b'\x00', 56c1256d44e5fbf14266200ebaf1f0d6 +Hashes of 895 b'\x00', be96d1f79a73a72fe05c1b072fc965b8 +Hashes of 896 b'\x00', 5fdbaa5eb114280392e476f6354ffc79 +Hashes of 897 b'\x00', 3e7fe00e32fcd6e7b1d8af693f4f8053 +Hashes of 898 b'\x00', 1fce6946fcbbc44793d09baabb2d0bd6 +Hashes of 899 b'\x00', ba35013b4c198f49f2b2c9422d439ebc +Hashes of 9 b'\x00', 7622214b8536afe7b89b1c6606069b0d +Hashes of 90 b'\x00', 21b9f9b8a6d5dba96e74dc7504404ee1 +Hashes of 900 b'\x00', cf2dcdf22d8359bd0100327b2f4a7dfa +Hashes of 901 b'\x00', d2e882baae3bb1ec8ac6b95cf32644b8 +Hashes of 902 b'\x00', 24047c6000f0d3d9e33e70585bfa5683 +Hashes of 903 b'\x00', 285c568e93f13fa9b2e366fc18f80d87 +Hashes of 904 b'\x00', ed0347aa94467e33ced6c01bcacc91de +Hashes of 905 b'\x00', 4b161701f6a24f1c31447f25454d49dc +Hashes of 906 b'\x00', 5e233438560fba43200522b6e214cf4d +Hashes of 907 b'\x00', 01cc9a53c12a50ff09964253122686e3 +Hashes of 908 b'\x00', 6bc8d519c6da360fd6f04c10978618b3 +Hashes of 909 b'\x00', 4faf3282bda35183776f5636c47a207c +Hashes of 91 b'\x00', 12fa1cd0cfb57817fae11f4a90716eb7 +Hashes of 910 b'\x00', c23312cd173bea1835b807220f8995b8 +Hashes of 911 b'\x00', efe1219f9609cc9580563d299b63f6bc +Hashes of 912 b'\x00', 50efe79df43df9d48ba9e56bfe1cc2c0 +Hashes of 913 b'\x00', a72712140367ebe93f2a6f471465f0a9 +Hashes of 914 b'\x00', 25c66346411eea02490673e82784d6cb +Hashes of 915 b'\x00', 753f83cb70a70a5e4d08668a43148b3d +Hashes of 916 b'\x00', e5f5f402f47491dd6ea8586d6e009c4b +Hashes of 917 b'\x00', 07887f8503cbb2f93d5017b33dda0b8e +Hashes of 918 b'\x00', b3b4f3d3ad992e328dac78a8e5a26fd3 +Hashes of 919 b'\x00', 4c4b5d9a80e5ed94cf6cb0234e90ff6d +Hashes of 92 b'\x00', afb0a787f708e0507c2e21b5f46132e9 +Hashes of 920 b'\x00', 62681ec7793f230a6ac80223eb3d97dd +Hashes of 921 b'\x00', 8af9d4c1a95b4815383d7329e0238f48 +Hashes of 922 b'\x00', a17ec88ba855f02adaba6f76a0132f7f +Hashes of 923 b'\x00', b740faa192d60e8277693e41a86154a1 +Hashes of 924 b'\x00', e95f974716a501aa8bc1df45ca4958a2 +Hashes of 925 b'\x00', 5744bc8758213da345f81862ac20209e +Hashes of 926 b'\x00', dff11926e59c7f700014c07a1521e21e +Hashes of 927 b'\x00', 2003eab1e7d6b8c9de9910eeb7a2d59d +Hashes of 928 b'\x00', 8dc2cf9cab71f04e1e09ba82837a0d4f +Hashes of 929 b'\x00', 9e5592db78849be92e322d7ad858db71 +Hashes of 93 b'\x00', 2749a25b7d6eadb94ae0493ff02e2081 +Hashes of 930 b'\x00', 091e492cdfcc69d43ee8cc8a8e88f783 +Hashes of 931 b'\x00', f912a3e52d68983117836fda976da015 +Hashes of 932 b'\x00', 272f39f1d27e22f5c697742b0b1595a3 +Hashes of 933 b'\x00', a3450e2719f7955cf944f7314d743978 +Hashes of 934 b'\x00', 67b50589f90ea88039a239749ba02afd +Hashes of 935 b'\x00', 36cd6c26a2537757df1f732a2eaf8bc8 +Hashes of 936 b'\x00', 0cda8d662ee3d279e3a006c39a0d2d41 +Hashes of 937 b'\x00', 0a4036f4f3f54662d21c0766a03d30df +Hashes of 938 b'\x00', d3734f4fa14c1164be48f8deb34cdf0a +Hashes of 939 b'\x00', d1baa19035387894c60f318b11759b08 +Hashes of 94 b'\x00', 7bf53a1d3aeea9a5dc6749cdcac4a8a4 +Hashes of 940 b'\x00', d25a4273b782da5cfbd901b1adb4af6a +Hashes of 941 b'\x00', 015c9ca9d68879ed770c8996bc2aa52c +Hashes of 942 b'\x00', f323854c2aaefbe8221678815dcc53ec +Hashes of 943 b'\x00', fc3cd46833796bdc8887a84d8f3dc9cb +Hashes of 944 b'\x00', 5637536767aab912fe3b68e01deff759 +Hashes of 945 b'\x00', 57a1a426e957e0ce7a16513c2d3667c7 +Hashes of 946 b'\x00', 5db063b9280a82c29fae2a5d179df488 +Hashes of 947 b'\x00', 5580f58c6584ee90d469b05ed5cf4ab0 +Hashes of 948 b'\x00', a99ed22b88865d7f1d6e8c83b1dcb5d3 +Hashes of 949 b'\x00', d95356e09f47e7234fcac7e6e2a94f01 +Hashes of 95 b'\x00', f0a2569ea4220ec552072bd88564bb25 +Hashes of 950 b'\x00', 0764555f0b542b4a3d1a750ca244c1b3 +Hashes of 951 b'\x00', bf7537dcdf0ed2f972572394d04cb0ba +Hashes of 952 b'\x00', e6bfe9878386acc8575741e8383b056f +Hashes of 953 b'\x00', 2a97480fe443b44c974593cc764fca26 +Hashes of 954 b'\x00', 2b664b7486e1c898b9771baf63fa9547 +Hashes of 955 b'\x00', f85aeb10e24d2fec4751d9b849580ea3 +Hashes of 956 b'\x00', f25b437df0e27f500e83e7227643a0ff +Hashes of 957 b'\x00', 7cd9e049bac58b7f260b82cff7c1cbab +Hashes of 958 b'\x00', 0459128b581e5347ff611451057df3b0 +Hashes of 959 b'\x00', 6ab47ea42ed9d994bf860d2e28d5f04d +Hashes of 96 b'\x00', 424df5f7fb9fbeeac29a8421ae884ec3 +Hashes of 960 b'\x00', 690cd020d272c5178bf7e7718817a57f +Hashes of 961 b'\x00', 69f4a40885b4cefa26afa5932a226afd +Hashes of 962 b'\x00', 8b9697e73aea5fac18d8c9268eb967b1 +Hashes of 963 b'\x00', cd04901b32a459e51ffd7ed3535700f8 +Hashes of 964 b'\x00', f1720637c2a479daa1fb02b4f0843c37 +Hashes of 965 b'\x00', 9436214805a70b9a6a3b32f8e30e10b4 +Hashes of 966 b'\x00', 0ca3e3214a9196d571b62efc17958790 +Hashes of 967 b'\x00', 036d3d37002b8ea03bce92cb3e061fc8 +Hashes of 968 b'\x00', 732c63042dfc803d37c50b359dfa4a95 +Hashes of 969 b'\x00', 46632b707b427e16989bd10d0ef54d6c +Hashes of 97 b'\x00', 64847f2a7d3ee5cfb19b04ee860dbcdb +Hashes of 970 b'\x00', 2db7da90c82868a02f70fa0028e0620e +Hashes of 971 b'\x00', 740183deb50d91cd8271a9318ae7e075 +Hashes of 972 b'\x00', 863225b763c881844c51ea6a4349b12e +Hashes of 973 b'\x00', 103768c9a9eebe26abc75d1ba8498d15 +Hashes of 974 b'\x00', 2fafc3077ee1b5d766ed9559ba14a3ba +Hashes of 975 b'\x00', 354ce7c04989b548b87f155deb065abb +Hashes of 976 b'\x00', b5c22285a8caaf82ca755823ba0d07f2 +Hashes of 977 b'\x00', 995e7316e004da6b7b3f493826addb17 +Hashes of 978 b'\x00', 5ca087eae4a72325f4572c6cbeff95de +Hashes of 979 b'\x00', f499651ac5243b4da810c7a300c1fbc1 +Hashes of 98 b'\x00', f051f0fc348d6eab8fcb33fef356d1a8 +Hashes of 980 b'\x00', cb9673a6b7ace2a7923ab70f9c08f90e +Hashes of 981 b'\x00', 2bf8b158645b5d77dbfb7e4b336852b2 +Hashes of 982 b'\x00', 079d543d76430cf9cf26cecedb5b9372 +Hashes of 983 b'\x00', 5768ced7f702f9ce197ac2731df4b9e7 +Hashes of 984 b'\x00', 1f5188c63616f08e142d98febd25930a +Hashes of 985 b'\x00', de201447711b84447cc573557b57ce4a +Hashes of 986 b'\x00', 9bed10c00ca73acea42cdd7701706ab9 +Hashes of 987 b'\x00', a9abed31246170c45bc9b93e51a11998 +Hashes of 988 b'\x00', ae02bca47ecacbcbefeec849c4ec155c +Hashes of 989 b'\x00', c2d404a0247f03a80d556d5e12fdde62 +Hashes of 99 b'\x00', 7b142681a580faf8847774748fefe607 +Hashes of 990 b'\x00', d90514dd71d86331b8862f320ca0e7a3 +Hashes of 991 b'\x00', c3accd61b58e2af0f0fae2f521eb3df1 +Hashes of 992 b'\x00', 0f23c608f3066e90aeabd07fe943942e +Hashes of 993 b'\x00', 9441ec57114936668c09f442464b9d27 +Hashes of 994 b'\x00', c0eec84d09bbb7f4cd1a8896f9dff718 +Hashes of 995 b'\x00', 9836a08d3ab9e9f65824eb67b083544f +Hashes of 996 b'\x00', 4dcd40e7db782a607f3f0d913b109e43 +Hashes of 997 b'\x00', b430a27fa24755f51a75e706d7913379 +Hashes of 998 b'\x00', 868b1a7a355acc098a8ad80684d4f17e +Hashes of 999 b'\x00', bf9f9327f316b99f6c92a8ff31fbc119 +MS Notepad, d378bffb70923139d6a4f546864aa61c +MSVCR71.DLL, 86f1895ae8c5e8b17d99ece768a70732 +One byte file with 0x00, 93b885adfe0da089cdf634904fd59f71 +One byte line break file (Unix) 0x0a, 68b329da9893e34099c7d8ad5cb9c940 +One byte line break file (Windows) 0x0d0a, 81051bcc2cf1bedf378224b0a93e2877 +Powerpoint 2010, e24133dd836d99182a6227dcf6613d08 +RecordedTV.library-ms, b6f9aa44c5f0565b5deb761b1926e9b6 +Special CAB file, 41f958d2d3e9ed4504b6a8863fd72b49 +WinPCap 4.1.3, a11a2f0cfe6d0b4c50945989db6360cd +disallowedcertstl.cab, 16e8e953c65d610c3bfc595240f3f5b7 diff --git a/docs/detection_modules.md b/docs/detection_modules.md index 90044a2bd..88d25f930 100644 --- a/docs/detection_modules.md +++ b/docs/detection_modules.md @@ -449,6 +449,14 @@ Example: "6734f37431670b3ab4292b8f60f29984", "high", "Trickbot Malwar" +### Whitelisting known FP hashes + +To avoid false positive "Malicious downloaded file" detections, before looking up MD5 hashes of each downloaded file online, Slips checks if the given hash is part of a known FP. + +The list of known FP MD5 hashes is at config/local_ti_files/known_fp_md5_hashes.csv. This list is taken from https://github.com/Neo23x0/ti-falsepositives/tree/master + +If the hash is a part of that list, Slips doesn't look it up. + ### Adding your own remote feed diff --git a/modules/threat_intelligence/threat_intelligence.py b/modules/threat_intelligence/threat_intelligence.py index b5187ef6c..14973e6dd 100644 --- a/modules/threat_intelligence/threat_intelligence.py +++ b/modules/threat_intelligence/threat_intelligence.py @@ -62,7 +62,7 @@ def init(self): self.urlhaus = URLhaus(self.db) self.spamhaus = Spamhaus(self.db) self.pending_queries = multiprocessing.Queue() - self.calls_thread = threading.Thread( + self.pending_circllu_calls_thread = threading.Thread( target=self.handle_pending_queries, daemon=True ) self.circllu = Circllu(self.db, self.pending_queries) @@ -559,6 +559,23 @@ def set_evidence_malicious_domain( def is_valid_threat_level(self, threat_level): return threat_level in utils.threat_levels + def parse_known_fp_hashes(self, fullpath: str): + fp_hashes = {} + with open(fullpath) as fps: + # skip comments + for line in fps: + if line.startswith("#"): + continue + + # split the line into parts + parts = line.split(", ") + description = parts[0] + hashes = parts[1:] + for hash in hashes: + fp_hashes[hash] = description + + self.db.store_known_fp_md5_hashes(fp_hashes) + def parse_local_ti_file(self, ti_file_path: str) -> bool: """Parses a local threat intelligence (TI) file to extract and store various indicators of compromise (IoCs), including IP @@ -824,34 +841,20 @@ def parse_ja3_file(self, path): return True def parse_jarm_file(self, path): - """Parses a file containing JARM hashes, their associated threat levels, and - descriptions, then stores this information in the database. The file is expected - to follow a specific format where each line contains a JARM hash, its threat - level, and a descriptive text, separated by commas. + """ + Parses a file of JARM hashes with their threat levels and descriptions, then stores the data in the database. Parameters: - path (str): The absolute path to the local file containing - JARM hashes. - + path (str): Absolute path to the JARM hash file. Returns: - bool: Always returns True to indicate the method has executed. - This behavior could be modified in the future to reflect the - success status of parsing and database storage operations. - This method processes each line of the provided file, skipping any - lines that are commented out or improperly formatted. It validates - the threat level of each JARM hash against a predefined list of - valid levels, - defaulting to 'medium' if the provided level is not recognized. + bool: Always True, indicating execution success (may change in the future). + Details: - Side Effects: - - Populates the database with new JARM hash records extracted - from the provided file. Existing records for a JARM hash are - not explicitly handled in this method, so duplicate entries - could occur if not managed elsewhere. - - Logs the progress of reading the file, including a message - indicating the start of the process and any errors related to - invalid line formats. + Processes each line, skipping comments and invalid formats. + Validates threat levels, defaulting to 'medium' if unrecognized. + Populates the database with parsed JARM hash records (duplicates are not handled). + Logs progress, including errors for invalid lines. """ filename = os.path.basename(path) jarm_dict = {} @@ -898,7 +901,6 @@ def parse_jarm_file(self, path): "threat_level": threat_level, } ) - # Add all loaded JARM to the database self.db.add_jarm_to_IoC(jarm_dict) return True @@ -1407,6 +1409,11 @@ def is_malicious_hash(self, flow_info: dict): # .. } return + if self.db.is_known_fp_md5_hash(): + # this is a known FP https://github.com/Neo23x0/ti-falsepositives/tree/master + # its benign so dont look it up + return + if blacklist_details := self.search_online_for_hash(flow_info): # the md5 appeared in a blacklist # update the blacklist_details dict with uid, @@ -1706,16 +1713,14 @@ def update_local_file(self, filename): of the TI file. """ fullpath = os.path.join(self.path_to_local_ti_files, filename) + parsers = { + "own_malicious_iocs.csv": self.parse_local_ti_file, + "own_malicious_JA3.csv": self.parse_ja3_file, + "own_malicious_JARM.csv": self.parse_jarm_file, + "known_fp_md5_hashes.csv": self.parse_known_fp_hashes, + } if filehash := self.should_update_local_ti_file(fullpath): - if "JA3" in filename: - # Load updated data to the database - self.parse_ja3_file(fullpath) - elif "JARM" in filename: - # Load updated data to the database - self.parse_jarm_file(fullpath) - else: - # Load updated data to the database - self.parse_local_ti_file(fullpath) + parsers[filename](fullpath) # Store the new etag and time of file in the database malicious_file_info = {"hash": filehash} self.db.set_ti_feed_info(filename, malicious_file_info) @@ -1767,11 +1772,12 @@ def pre_main(self): "own_malicious_iocs.csv", "own_malicious_JA3.csv", "own_malicious_JARM.csv", + "known_fp_md5_hashes.csv", ) for local_file in local_files: self.update_local_file(local_file) - self.calls_thread.start() + self.pending_circllu_calls_thread.start() def main(self): # The channel can receive an IP address or a domain name diff --git a/slips_files/core/database/database_manager.py b/slips_files/core/database/database_manager.py index 1cf9e6ead..0860c97cc 100644 --- a/slips_files/core/database/database_manager.py +++ b/slips_files/core/database/database_manager.py @@ -86,6 +86,12 @@ def get_ip_info(self, *args, **kwargs): def set_new_ip(self, *args, **kwargs): return self.rdb.set_new_ip(*args, **kwargs) + def store_known_fp_md5_hashes(self, *args, **kwargs): + return self.rdb.store_known_fp_md5_hashes(*args, **kwargs) + + def is_known_fp_md5_hash(self, *args, **kwargs): + return self.rdb.is_known_fp_md5_hash(*args, **kwargs) + def ask_for_ip_info(self, *args, **kwargs): return self.rdb.ask_for_ip_info(*args, **kwargs) diff --git a/slips_files/core/database/redis_db/constants.py b/slips_files/core/database/redis_db/constants.py index 783da99de..8562a8717 100644 --- a/slips_files/core/database/redis_db/constants.py +++ b/slips_files/core/database/redis_db/constants.py @@ -18,6 +18,7 @@ class Constants: DOMAINS_INFO = "DomainsInfo" IPS_INFO = "IPsInfo" PROCESSED_FLOWS = "processed_flows_so_far" + KNOWN_FPS = "known_fps" class Channels: diff --git a/slips_files/core/database/redis_db/ioc_handler.py b/slips_files/core/database/redis_db/ioc_handler.py index 54a1d4e82..d6aeafb4c 100644 --- a/slips_files/core/database/redis_db/ioc_handler.py +++ b/slips_files/core/database/redis_db/ioc_handler.py @@ -4,6 +4,7 @@ List, Tuple, Union, + Optional, ) @@ -119,6 +120,14 @@ def set_ti_feed_info(self, file, data): data = json.dumps(data) self.rcache.hset(self.constants.TI_FILES_INFO, file, data) + def store_known_fp_md5_hashes(self, fps: Dict[str, List[str]]): + self.rcache.hmset(self.constants.KNOWN_FPS, fps) + + def is_known_fp_md5_hash(self, hash: str) -> Optional[str]: + """returns the description of the given hash if it is a FP. and + returns Fals eif the hash is not a FP""" + return self.rcache.hmget(self.constants.KNOWN_FPS, hash) + def delete_ips_from_IoC_ips(self, ips: List[str]): """ Delete the given IPs from IoC diff --git a/tests/test_threat_intelligence.py b/tests/test_threat_intelligence.py index 04a64d99b..c15882aa3 100644 --- a/tests/test_threat_intelligence.py +++ b/tests/test_threat_intelligence.py @@ -944,7 +944,7 @@ def test_pre_main(mocker): threatintel = ModuleFactory().create_threatintel_obj() mocker.patch.object(threatintel, "update_local_file") threatintel.pre_main() - assert threatintel.update_local_file.call_count == 3 + assert threatintel.update_local_file.call_count == 4 @pytest.mark.parametrize( @@ -1178,7 +1178,7 @@ def test_is_malicious_hash( recording evidence of malicious file hashes. """ threatintel = ModuleFactory().create_threatintel_obj() - + threatintel.db.is_known_fp_md5_hash.return_value = False mock_search_online_for_hash = mocker.patch.object( threatintel, "search_online_for_hash" ) @@ -1197,11 +1197,19 @@ def test_is_malicious_hash( "twid": "timewindow1", } mock_search_online_for_hash.return_value = search_online_result + threatintel.is_malicious_hash(flow_info) assert threatintel.db.set_evidence.called == expected_set_evidence_call +def test_is_malicious_hash_known_fp_md5(): + threatintel = ModuleFactory().create_threatintel_obj() + threatintel.db.is_known_fp_md5_hash.return_value = True + flow = {"flow": {"md5": "c0eec84d09bbb7f4cd1a8896f9dff718"}} + assert threatintel.is_malicious_hash(flow) is None + + @pytest.mark.parametrize( "url, result, is_malicious", [