Syrian MD5 values of malware used by Pro-Assad hackers

FireEye has published a report which holds the MD5 values of the malware which was used in the attacks on the Syrian Rebels. We have listed the MD5 values, so you will be able to research them. Please note that we do not have the malware samples. The values of the MD5 strings have been taken from the official FireEye report.

MD5 values of malware used by the Pro-Assad hackers: 

  • 0187be3ccf42c143ab96e7bbf2efbf2f
  • 0cc7b05c220ecbeb52891d49f1ab41ab
  • 29e79080b2b2de01b53223542b46d570
  • 2a456e35918700bc76f6ec1dd9ea93a1
  • 36875b44145cf20b8d3148e7f7efcea0
  • 3ffc4e4081854d04d8217c2ebabdd61d
  • 4268e2a8209429155ef5df22ca17c0be
  • 465a0bf22cd101dbd502a2576f10ceb4
  • 4cd035012ec6015e48f6fb7001330a95
  • 4d70791db506cb04e62b607e1f57699c
  • 5e334057856967a5d31c266c550549b0
  • 6439ccba5b06e434953ba209b8b07107
  • 6608ce246612d490f3b044627a5e6d9e
  • 692265ba1d4a5b2773e596d3491ed2be
  • 7091f135e4718586d16b56c04b21a6b7
  • 8a0a36d0d1d91b357e5ce8f84ad16346
  • 931bafa20756eaf8b5371222b5b81a61
  • 980c6e7f8a10144a28730f3f0adb99d0
  • 99655bacbe845ad30c6c5ed56a7e13d4
  • a19e70ffa130a096753463b23733927d
  • a577701d4b5ada66912a242a7772b48a
  • a9e5ec23ccdec9cd79af771e2dbf54d5
  • c79ad54dead0b446fe8fac60cbd133a7
  • c808ef1ab997d0234ee889ecd5176c8e
  • d023fc719fba710b44f140deff3f83e4
  • d32aaf60744678e559db59fbe2daa938
  • d87356940d3b15d87453ead6374691ab
  • dc33cbf669df01302ddd124b028a4fd9
  • e403972c890cf2eb0a361a91ac5ffe5e
  • e41c913327e6974730da99e7c327a2a2
  • e65bdb88e606c45521ab2c04c650ed86
  • ef56383f53b7ccb08016737c98fe2982
  • 27c2b873849227de45ec10fca112f322
  • 47702a6cdc59859ec97c99aa31148ae6
  • 4bd3ea86eb7d63b1bdd001e6adbe8b89
  • 57cbbe8e7d18b1980cfc4bc87121b2c7
  • 5ae84cadc1ea5a4bcc027a19eca514c5
  • 63fb57fd90590c3c0d0d95d86b6df66d
  • 748b8aca1c17415648b80f0038381097
  • 81ef5426583e1d6df4193f38402b40c1
  • 9491c4e0c08c9347421ae352f14a1329
  • a1e0d40715f66f30aad44ab4c15a474a
  • b23b16b3cccba9c1ecd0c0d17cc48979
  • b9623abd519ee688e0b9d9350c83e209
  • d4b4367f874c9c8d645b1560f9d259ea
  • d620deacd018da09a69e24cb978f556d
  • d672e9789f22b806a295f0dd2122316a
  • e2a624302af7a3eeb59cbb58f36b0fac
  • f7f8538d2ab0ffee878a4e512230f97d
  • f893d5d351a3ffc1f89a8ec8147cd060
  • fda3816d0bac2e4791cbcfaf33416633
  • ff97bc797ed27b5e21e4e4a6e7443219
  • 163595b20debdeccdeaf4cb14fba737c
  • 202eb180f5faa8460941ae60cf63da63
  • 39632325327bf21f7d9cf02caf065646
  • 64eb08013399e3ac18c936d361d80e17
  • 7247d42b3b4632dc7ed9d8559596fff8
  • 7576127f8bd805b30d0016d897211f54
  • 89dda79018d6216970a274b16b3494ad
  • a641c08e09c53858d16c0c70107979b5v
  • a691e4b629da2b37dd87e760bfb0106e
  • c421f4e12892d4ac345e7b03f6a053d2
  • d1f817744f79dad415a526c4ce51bed9
  • de65eed45ac210c66db8082f1a72db8f
  • e11aeb603cb7a31c2028976a2deed550
  • 0bf0e05247b986c484dbfe53ebb8ac48
  • ae1ea30e6fb834599a8fed11a9b00314
  • 6b5aabd26998568d9ca628713b53cacf
  • b68a7e216cb0d18030048935b67e0d68
  • 0e24a0060493bcb85ce4a5110550f204
  • 1328d3d4872bfe2c98fd7b672d8dff1b
  • 508deeb6a5a37e9f94d5d4733ce0352f
  • bd4769f37de88321a9b64e5f85baf1ef
  • f18dedf9f5d213deba18a2e037819ea1
  • 44df02ac28d80deb45f5c7c48b56a858
  • 78c5670e2cee9b5c3b88aa9cb27519be
  • 9d351b9ee731d88f12fcaa64010e828d
  • e0625817eb11874d806909a8c190d45a
  • 182c7b1ad894852d23f4de538e59ac2b
  • 4e007cb87626f0093a84ed50b1d27a7f
  • 64a17f5177157bb8c4199d38c46ec93b
  • b91315805ef1df07bdbfa07d3a467424
  • e0b1caec74f31e8196a250f133f4345a

READ THE FULL FIREEYE REPORT HERE

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