<stix:STIX_Package 
	xmlns:cyboxCommon="http://cybox.mitre.org/common-2"
	xmlns:cybox="http://cybox.mitre.org/cybox-2"
	xmlns:cyboxVocabs="http://cybox.mitre.org/default_vocabularies-2"
	xmlns:AddressObj="http://cybox.mitre.org/objects#AddressObject-2"
	xmlns:ArtifactObj="http://cybox.mitre.org/objects#ArtifactObject-2"
	xmlns:FileObj="http://cybox.mitre.org/objects#FileObject-2"
	xmlns:PortObj="http://cybox.mitre.org/objects#PortObject-2"
	xmlns:WinExecutableFileObj="http://cybox.mitre.org/objects#WinExecutableFileObject-2"
	xmlns:WinFileObj="http://cybox.mitre.org/objects#WinFileObject-2"
	xmlns:marking="http://data-marking.mitre.org/Marking-1"
	xmlns:tlpMarking="http://data-marking.mitre.org/extensions/MarkingStructure#TLP-1"
	xmlns:TOUMarking="http://data-marking.mitre.org/extensions/MarkingStructure#Terms_Of_Use-1"
	xmlns:maecBundle="http://maec.mitre.org/XMLSchema/maec-bundle-4"
	xmlns:maecPackage="http://maec.mitre.org/XMLSchema/maec-package-2"
	xmlns:maecVocabs="http://maec.mitre.org/default_vocabularies-1"
	xmlns:incident="http://stix.mitre.org/Incident-1"
	xmlns:indicator="http://stix.mitre.org/Indicator-2"
	xmlns:ttp="http://stix.mitre.org/TTP-1"
	xmlns:stixCommon="http://stix.mitre.org/common-1"
	xmlns:stixVocabs="http://stix.mitre.org/default_vocabularies-1"
	xmlns:stix-maec="http://stix.mitre.org/extensions/Malware#MAEC4.1-1"
	xmlns:stix="http://stix.mitre.org/stix-1"
	xmlns:NCCIC="http://www.us-cert.gov/"
	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="
	http://cybox.mitre.org/common-2 http://cybox.mitre.org/XMLSchema/common/2.1/cybox_common.xsd
	http://cybox.mitre.org/cybox-2 http://cybox.mitre.org/XMLSchema/core/2.1/cybox_core.xsd
	http://cybox.mitre.org/default_vocabularies-2 http://cybox.mitre.org/XMLSchema/default_vocabularies/2.1/cybox_default_vocabularies.xsd
	http://cybox.mitre.org/objects#AddressObject-2 http://cybox.mitre.org/XMLSchema/objects/Address/2.1/Address_Object.xsd
	http://cybox.mitre.org/objects#ArtifactObject-2 http://cybox.mitre.org/XMLSchema/objects/Artifact/2.1/Artifact_Object.xsd
	http://cybox.mitre.org/objects#FileObject-2 http://cybox.mitre.org/XMLSchema/objects/File/2.1/File_Object.xsd
	http://cybox.mitre.org/objects#PortObject-2 http://cybox.mitre.org/XMLSchema/objects/Port/2.1/Port_Object.xsd
	http://cybox.mitre.org/objects#WinExecutableFileObject-2 http://cybox.mitre.org/XMLSchema/objects/Win_Executable_File/2.1/Win_Executable_File_Object.xsd
	http://cybox.mitre.org/objects#WinFileObject-2 http://cybox.mitre.org/XMLSchema/objects/Win_File/2.1/Win_File_Object.xsd
	http://data-marking.mitre.org/Marking-1 http://stix.mitre.org/XMLSchema/data_marking/1.1.1/data_marking.xsd
	http://data-marking.mitre.org/extensions/MarkingStructure#TLP-1 http://stix.mitre.org/XMLSchema/extensions/marking/tlp/1.1.1/tlp_marking.xsd
	http://data-marking.mitre.org/extensions/MarkingStructure#Terms_Of_Use-1 http://stix.mitre.org/XMLSchema/extensions/marking/terms_of_use/1.0.1/terms_of_use_marking.xsd
	http://maec.mitre.org/XMLSchema/maec-bundle-4 http://maec.mitre.org/language/version4.1/maec_bundle_schema.xsd
	http://maec.mitre.org/XMLSchema/maec-package-2 http://maec.mitre.org/language/version4.1/maec_package_schema.xsd
	http://maec.mitre.org/default_vocabularies-1 http://maec.mitre.org/language/version4.1/maec_default_vocabularies.xsd
	http://stix.mitre.org/Incident-1 http://stix.mitre.org/XMLSchema/incident/1.1.1/incident.xsd
	http://stix.mitre.org/Indicator-2 http://stix.mitre.org/XMLSchema/indicator/2.1.1/indicator.xsd
	http://stix.mitre.org/TTP-1 http://stix.mitre.org/XMLSchema/ttp/1.1.1/ttp.xsd
	http://stix.mitre.org/common-1 http://stix.mitre.org/XMLSchema/common/1.1.1/stix_common.xsd
	http://stix.mitre.org/default_vocabularies-1 http://stix.mitre.org/XMLSchema/default_vocabularies/1.1.1/stix_default_vocabularies.xsd
	http://stix.mitre.org/extensions/Malware#MAEC4.1-1 http://stix.mitre.org/XMLSchema/extensions/malware/maec_4.1/1.0.1/maec_4.1_malware.xsd
	http://stix.mitre.org/stix-1 http://stix.mitre.org/XMLSchema/core/1.1.1/stix_core.xsd" id="NCCIC:Package-8d5185a7-1218-4d8a-af2a-3fa57cb3e446" version="1.1.1" timestamp="2020-02-12T08:50:19-05:00">
    <stix:STIX_Header>
        <stix:Title>MAR-10265965.r2.v1</stix:Title>
        <stix:Package_Intent>Malware Characterization</stix:Package_Intent>
        <stix:Handling>
            <marking:Marking>
                <marking:Controlled_Structure>//node() | //@*</marking:Controlled_Structure>
                <marking:Marking_Structure xsi:type='tlpMarking:TLPMarkingStructureType' color="WHITE"/>
                <marking:Marking_Structure xsi:type='TOUMarking:TermsOfUseMarkingStructureType'>
                    <TOUMarking:Terms_Of_Use>This document is marked TLP:WHITE--Disclosure is not limited. Sources may use TLP:WHITE when information carries minimal or no foreseeable risk of misuse, in accordance with applicable rules and procedures for public release. Subject to standard copyright rules, TLP:WHITE information may be distributed without restriction. For more information on the Traffic Light Protocol (TLP), see http://www.us-cert.gov/tlp.</TOUMarking:Terms_Of_Use>
                </marking:Marking_Structure>
            </marking:Marking>
        </stix:Handling>
        <stix:Information_Source>
            <stixCommon:Identity>
                <stixCommon:Name>US-CERT</stixCommon:Name>
            </stixCommon:Identity>
            <stixCommon:Time>
                <cyboxCommon:Produced_Time>2020-02-12T08:50:19-05:00</cyboxCommon:Produced_Time>
            </stixCommon:Time>
            <stixCommon:Tools>
                <cyboxCommon:Tool>
                    <cyboxCommon:Name>BMachine</cyboxCommon:Name>
                    <cyboxCommon:Description>89</cyboxCommon:Description>
                    <cyboxCommon:Version>7.1.0</cyboxCommon:Version>
                </cyboxCommon:Tool>
            </stixCommon:Tools>
        </stix:Information_Source>
    </stix:STIX_Header>
    <stix:Observables cybox_major_version="2" cybox_minor_version="1" cybox_update_version="0">
        <cybox:Observable id="NCCIC:Observable-c4299633-27e5-428d-89f5-e4c0a80da45c">
            <cybox:Description><![CDATA[This sample is a Themida-packed dropper that decodes and drops an embedded file (MD5: B57DB76CC1C0175C4F18EA059D9E2AB2 / SHA256: 7250ccf4fad4d83d087a03d0dd67d1c00bf6cb8e7fa718140507a9d5ffa50b54) to C:\Windows\Web\taskenc.exe.  This dropper does not execute the dropped file or create any auto-run keys or scheduled tasks to execute it. 

The dropped file (taskenc.exe) is a Themida-packed beaconing implant with RAT functionality.  The implant beacons to a hardcoded IP (188.165.37.168) over the hardcoded TCP port 80 every 60 seconds.  The initial beacon contains the string “ApolloZeus” as well as victim information, including OS version, user name, and IP address.  All traffic, including the beacon, is encoded with an indigenous encoding algorithm.  Due to the way the implant decodes the hardcoded string “ApolloZeus” in-place in memory, the first beacon contains the string in plaintext, the second beacon will contain the string encoded, and so on.  This is probably unintended and an oversight by the developers.

--Begin Packet Format--
[8 Bytes data length][2Byte Opcode][data]
--End Packet Format--

--Begin Victim Information--
OS Version
User name
IP address
--End Victim Information--

A Python3 script for decoding the traffic is displayed below:

--Begin Python3 Script--
def decode(enc):
  dec = b’’
  key1 = 0x49;
  key2 = 0x1310a024;
  key3 = 0xa323da32;

  for e in enc:
    dec += chr((ord(e) ^ key3 ^ key1) & 0xff)
    tmp1 = key3 >> 8
    key1 = (key2>>0x10) & (key2>>8) & key2 ^ (key3>>0x10) & tmp1 ^ key3 & key1 ^ (key3>>0x18);
    tmp2 = key3 * 2 ^ key3;
    key3 = key2 << 0x18 | key3 >> 8;
    key2 = (tmp2 & 0x1fe) << 0x16 | key2 >> 8;
  return dec
--End Python3 Script--]]></cybox:Description>
            <cybox:Object id="NCCIC:WinExecutableFile-49b344f2-f4ae-416f-a284-ad685cc66f3e">
                <cybox:Properties xsi:type="WinExecutableFileObj:WindowsExecutableFileObjectType">
                    <FileObj:File_Name>CCA9FBB11C194FC53015185B741887A8</FileObj:File_Name>
                    <FileObj:Size_In_Bytes>3133440</FileObj:Size_In_Bytes>
                    <FileObj:File_Format>PE32 executable (GUI) Intel 80386, for MS Windows</FileObj:File_Format>
                    <FileObj:Hashes>
                        <cyboxCommon:Hash>
                            <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">MD5</cyboxCommon:Type>
                            <cyboxCommon:Simple_Hash_Value>cca9fbb11c194fc53015185b741887a8</cyboxCommon:Simple_Hash_Value>
                        </cyboxCommon:Hash>
                        <cyboxCommon:Hash>
                            <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">SHA1</cyboxCommon:Type>
                            <cyboxCommon:Simple_Hash_Value>9e7bf03a607558dafe146907db28d77fda81be22</cyboxCommon:Simple_Hash_Value>
                        </cyboxCommon:Hash>
                        <cyboxCommon:Hash>
                            <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">SHA256</cyboxCommon:Type>
                            <cyboxCommon:Simple_Hash_Value>fdb87add07d3459c43cfa88744656f6c00effa6b7ec92cb7c8b911d233aeb4ac</cyboxCommon:Simple_Hash_Value>
                        </cyboxCommon:Hash>
                        <cyboxCommon:Hash>
                            <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">SHA512</cyboxCommon:Type>
                            <cyboxCommon:Simple_Hash_Value>a1d1747dbc96c14b45f345679c0f7ba38186458f4992eecf382dd0af6391b4224c1b487431d681f5ffd052839f2901bc6203ea81c3235efcd82061d60eb10618</cyboxCommon:Simple_Hash_Value>
                        </cyboxCommon:Hash>
                        <cyboxCommon:Hash>
                            <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">SSDEEP</cyboxCommon:Type>
                            <cyboxCommon:Simple_Hash_Value>49152:bbcROoCHuumCvGyQwNr6Ljvhg1J/4fxcBhmdSP8sWNRy8kLn3o1Dn:jVHaaGyQG6npcJ4xcD5d2Ry8kDo</cyboxCommon:Simple_Hash_Value>
                        </cyboxCommon:Hash>
                    </FileObj:Hashes>
                    <FileObj:Peak_Entropy>7.968879</FileObj:Peak_Entropy>
                    <WinExecutableFileObj:Headers>
                        <WinExecutableFileObj:File_Header>
                            <WinExecutableFileObj:Number_Of_Sections>7</WinExecutableFileObj:Number_Of_Sections>
                            <WinExecutableFileObj:Time_Date_Stamp>2018-02-26 20:08:54-05:00</WinExecutableFileObj:Time_Date_Stamp>
                            <WinExecutableFileObj:Size_Of_Optional_Header>4096</WinExecutableFileObj:Size_Of_Optional_Header>
                            <WinExecutableFileObj:Hashes>
                                <cyboxCommon:Hash>
                                    <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">MD5</cyboxCommon:Type>
                                    <cyboxCommon:Simple_Hash_Value>0de0ceb73fba415dc20a730f628429a6</cyboxCommon:Simple_Hash_Value>
                                </cyboxCommon:Hash>
                            </WinExecutableFileObj:Hashes>
                        </WinExecutableFileObj:File_Header>
                        <WinExecutableFileObj:Entropy>
                            <WinExecutableFileObj:Value>0.816628</WinExecutableFileObj:Value>
                        </WinExecutableFileObj:Entropy>
                    </WinExecutableFileObj:Headers>
                    <WinExecutableFileObj:Sections>
                        <WinExecutableFileObj:Section>
                            <WinExecutableFileObj:Section_Header>
                                <WinExecutableFileObj:Name>       </WinExecutableFileObj:Name>
                                <WinExecutableFileObj:Size_Of_Raw_Data>1572864</WinExecutableFileObj:Size_Of_Raw_Data>
                            </WinExecutableFileObj:Section_Header>
                            <WinExecutableFileObj:Entropy>
                                <WinExecutableFileObj:Value>7.979303</WinExecutableFileObj:Value>
                            </WinExecutableFileObj:Entropy>
                            <WinExecutableFileObj:Header_Hashes>
                                <cyboxCommon:Hash>
                                    <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">MD5</cyboxCommon:Type>
                                    <cyboxCommon:Simple_Hash_Value>74520bd2f6bb3211bd82b6f9547ff207</cyboxCommon:Simple_Hash_Value>
                                </cyboxCommon:Hash>
                            </WinExecutableFileObj:Header_Hashes>
                        </WinExecutableFileObj:Section>
                        <WinExecutableFileObj:Section>
                            <WinExecutableFileObj:Section_Header>
                                <WinExecutableFileObj:Name>.rsrc</WinExecutableFileObj:Name>
                                <WinExecutableFileObj:Size_Of_Raw_Data>49152</WinExecutableFileObj:Size_Of_Raw_Data>
                            </WinExecutableFileObj:Section_Header>
                            <WinExecutableFileObj:Entropy>
                                <WinExecutableFileObj:Value>4.290489</WinExecutableFileObj:Value>
                            </WinExecutableFileObj:Entropy>
                            <WinExecutableFileObj:Header_Hashes>
                                <cyboxCommon:Hash>
                                    <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">MD5</cyboxCommon:Type>
                                    <cyboxCommon:Simple_Hash_Value>32762b0a8ae1347aebaba811505cadcf</cyboxCommon:Simple_Hash_Value>
                                </cyboxCommon:Hash>
                            </WinExecutableFileObj:Header_Hashes>
                        </WinExecutableFileObj:Section>
                        <WinExecutableFileObj:Section>
                            <WinExecutableFileObj:Section_Header>
                                <WinExecutableFileObj:Name>.idata  </WinExecutableFileObj:Name>
                                <WinExecutableFileObj:Size_Of_Raw_Data>512</WinExecutableFileObj:Size_Of_Raw_Data>
                            </WinExecutableFileObj:Section_Header>
                            <WinExecutableFileObj:Entropy>
                                <WinExecutableFileObj:Value>1.308723</WinExecutableFileObj:Value>
                            </WinExecutableFileObj:Entropy>
                            <WinExecutableFileObj:Header_Hashes>
                                <cyboxCommon:Hash>
                                    <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">MD5</cyboxCommon:Type>
                                    <cyboxCommon:Simple_Hash_Value>79cf217f58f3178dafbfe532c01ef5c4</cyboxCommon:Simple_Hash_Value>
                                </cyboxCommon:Hash>
                            </WinExecutableFileObj:Header_Hashes>
                        </WinExecutableFileObj:Section>
                        <WinExecutableFileObj:Section>
                            <WinExecutableFileObj:Section_Header>
                                <WinExecutableFileObj:Name>        </WinExecutableFileObj:Name>
                                <WinExecutableFileObj:Size_Of_Raw_Data>512</WinExecutableFileObj:Size_Of_Raw_Data>
                            </WinExecutableFileObj:Section_Header>
                            <WinExecutableFileObj:Entropy>
                                <WinExecutableFileObj:Value>0.264678</WinExecutableFileObj:Value>
                            </WinExecutableFileObj:Entropy>
                            <WinExecutableFileObj:Header_Hashes>
                                <cyboxCommon:Hash>
                                    <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">MD5</cyboxCommon:Type>
                                    <cyboxCommon:Simple_Hash_Value>f0347e7e1ac9efb817c55b3ba9e5bf2d</cyboxCommon:Simple_Hash_Value>
                                </cyboxCommon:Hash>
                            </WinExecutableFileObj:Header_Hashes>
                        </WinExecutableFileObj:Section>
                        <WinExecutableFileObj:Section>
                            <WinExecutableFileObj:Section_Header>
                                <WinExecutableFileObj:Name>suylcrzz</WinExecutableFileObj:Name>
                                <WinExecutableFileObj:Size_Of_Raw_Data>1505792</WinExecutableFileObj:Size_Of_Raw_Data>
                            </WinExecutableFileObj:Section_Header>
                            <WinExecutableFileObj:Entropy>
                                <WinExecutableFileObj:Value>7.954736</WinExecutableFileObj:Value>
                            </WinExecutableFileObj:Entropy>
                            <WinExecutableFileObj:Header_Hashes>
                                <cyboxCommon:Hash>
                                    <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">MD5</cyboxCommon:Type>
                                    <cyboxCommon:Simple_Hash_Value>4fb94c6713c62a51c1b230a2bc033fac</cyboxCommon:Simple_Hash_Value>
                                </cyboxCommon:Hash>
                            </WinExecutableFileObj:Header_Hashes>
                        </WinExecutableFileObj:Section>
                        <WinExecutableFileObj:Section>
                            <WinExecutableFileObj:Section_Header>
                                <WinExecutableFileObj:Name>ajqluhke</WinExecutableFileObj:Name>
                                <WinExecutableFileObj:Size_Of_Raw_Data>512</WinExecutableFileObj:Size_Of_Raw_Data>
                            </WinExecutableFileObj:Section_Header>
                            <WinExecutableFileObj:Entropy>
                                <WinExecutableFileObj:Value>3.110274</WinExecutableFileObj:Value>
                            </WinExecutableFileObj:Entropy>
                            <WinExecutableFileObj:Header_Hashes>
                                <cyboxCommon:Hash>
                                    <cyboxCommon:Type xsi:type="cyboxVocabs:HashNameVocab-1.0">MD5</cyboxCommon:Type>
                                    <cyboxCommon:Simple_Hash_Value>81610ae95a418f6ef9ef042b37a26c4a</cyboxCommon:Simple_Hash_Value>
                                </cyboxCommon:Hash>
                            </WinExecutableFileObj:Header_Hashes>
                        </WinExecutableFileObj:Section>
                    </WinExecutableFileObj:Sections>
                </cybox:Properties>
                <cybox:Related_Objects>
                    <cybox:Related_Object idref="NCCIC:Artifact-45f83a9f-d737-4002-a8a7-4ac48a0ec7fb">
                        <cybox:Relationship xsi:type="cyboxVocabs:ObjectRelationshipVocab-1.1">Characterized_By</cybox:Relationship>
                    </cybox:Related_Object>
                    <cybox:Related_Object idref="NCCIC:Address-449872c5-290d-4f2e-b38b-aa4a767a50d9">
                        <cybox:Relationship xsi:type="cyboxVocabs:ObjectRelationshipVocab-1.1">Connected_To</cybox:Relationship>
                    </cybox:Related_Object>
                </cybox:Related_Objects>
            </cybox:Object>
        </cybox:Observable>
        <cybox:Observable id="NCCIC:Observable-0ec04313-1772-42c6-a475-9fe30cfc180b">
            <cybox:Title>Figure 1</cybox:Title>
            <cybox:Description><![CDATA[Implant Functionality.]]></cybox:Description>
            <cybox:Object id="NCCIC:Artifact-45f83a9f-d737-4002-a8a7-4ac48a0ec7fb">
                <cybox:Properties xsi:type="ArtifactObj:ArtifactObjectType" type="File">
                    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]]></ArtifactObj:Raw_Artifact>
                </cybox:Properties>
            </cybox:Object>
        </cybox:Observable>
        <cybox:Observable id="NCCIC:Observable-244095ff-0ba8-44e7-bf14-2089d6d4fc68">
            <cybox:Description><![CDATA[Hardcoded C2 address used in implant.]]></cybox:Description>
            <cybox:Object id="NCCIC:Address-449872c5-290d-4f2e-b38b-aa4a767a50d9">
                <cybox:Properties xsi:type="AddressObj:AddressObjectType" category="ipv4-addr">
                    <AddressObj:Address_Value>188.165.37.168</AddressObj:Address_Value>
                </cybox:Properties>
                <cybox:Related_Objects>
                    <cybox:Related_Object idref="NCCIC:WinExecutableFile-49b344f2-f4ae-416f-a284-ad685cc66f3e">
                        <cybox:Relationship xsi:type="cyboxVocabs:ObjectRelationshipVocab-1.1">Connected_From</cybox:Relationship>
                    </cybox:Related_Object>
                    <cybox:Related_Object idref="NCCIC:Port-6fca97be-2447-4498-9c02-3c3edbc2eae8">
                        <cybox:Relationship xsi:type="cyboxVocabs:ObjectRelationshipVocab-1.1">Related_To</cybox:Relationship>
                    </cybox:Related_Object>
                </cybox:Related_Objects>
            </cybox:Object>
        </cybox:Observable>
        <cybox:Observable id="NCCIC:Observable-265bace3-7276-4316-ae63-092e8e5b0681">
            <cybox:Object id="NCCIC:Port-6fca97be-2447-4498-9c02-3c3edbc2eae8">
                <cybox:Properties xsi:type="PortObj:PortObjectType">
                    <PortObj:Port_Value>80</PortObj:Port_Value>
                    <PortObj:Layer4_Protocol>TCP</PortObj:Layer4_Protocol>
                </cybox:Properties>
            </cybox:Object>
        </cybox:Observable>
    </stix:Observables>
    <stix:Indicators>
        <stix:Indicator id="NCCIC:indicator-7da81689-9804-4b9d-b6f9-03b0d273a74b" timestamp="2020-02-12T13:54:55.252405+00:00" xsi:type='indicator:IndicatorType'>
            <indicator:Title>MD5 and SHA1 of Malicious File</indicator:Title>
            <indicator:Type>Malware Artifacts</indicator:Type>
            <indicator:Observable id="NCCIC:Observable-19fa632b-f528-41ce-be12-bffb9d3debc5">
                <cybox:Object id="NCCIC:File-c4da7ee6-bf14-4122-8225-48d2b2765e02">
                    <cybox:Properties xsi:type="FileObj:FileObjectType">
                        <FileObj:Hashes>
                            <cyboxCommon:Hash>
                                <cyboxCommon:Type condition="Equals" xsi:type="cyboxVocabs:HashNameVocab-1.0">MD5</cyboxCommon:Type>
                                <cyboxCommon:Simple_Hash_Value condition="Equals">cca9fbb11c194fc53015185b741887a8</cyboxCommon:Simple_Hash_Value>
                            </cyboxCommon:Hash>
                            <cyboxCommon:Hash>
                                <cyboxCommon:Type condition="Equals" xsi:type="cyboxVocabs:HashNameVocab-1.0">SHA1</cyboxCommon:Type>
                                <cyboxCommon:Simple_Hash_Value condition="Equals">9e7bf03a607558dafe146907db28d77fda81be22</cyboxCommon:Simple_Hash_Value>
                            </cyboxCommon:Hash>
                            <cyboxCommon:Hash>
                                <cyboxCommon:Type condition="Equals" xsi:type="cyboxVocabs:HashNameVocab-1.0">SHA256</cyboxCommon:Type>
                                <cyboxCommon:Simple_Hash_Value condition="Equals">fdb87add07d3459c43cfa88744656f6c00effa6b7ec92cb7c8b911d233aeb4ac</cyboxCommon:Simple_Hash_Value>
                            </cyboxCommon:Hash>
                        </FileObj:Hashes>
                    </cybox:Properties>
                </cybox:Object>
            </indicator:Observable>
            <indicator:Indicated_TTP>
                <stixCommon:TTP idref="NCCIC:ttp-93e930a2-f24b-4a7d-8c9a-732398d81db3" xsi:type='ttp:TTPType'/>
            </indicator:Indicated_TTP>
            <indicator:Indicated_TTP>
                <stixCommon:TTP idref="NCCIC:ttp-5c408461-e8c3-4d22-be16-5c9749b8ee5b" xsi:type='ttp:TTPType'/>
            </indicator:Indicated_TTP>
            <indicator:Indicated_TTP>
                <stixCommon:TTP idref="NCCIC:ttp-ff018f8b-f21a-4bc9-bc4b-a193e986e0d5" xsi:type='ttp:TTPType'/>
            </indicator:Indicated_TTP>
            <indicator:Producer>
                <stixCommon:Identity>
                    <stixCommon:Name>NCCIC</stixCommon:Name>
                </stixCommon:Identity>
                <stixCommon:Time>
                    <cyboxCommon:Produced_Time>2020-02-12T13:54:55+00:00</cyboxCommon:Produced_Time>
                </stixCommon:Time>
            </indicator:Producer>
        </stix:Indicator>
    </stix:Indicators>
    <stix:TTPs>
        <stix:TTP id="NCCIC:ttp-93e930a2-f24b-4a7d-8c9a-732398d81db3" timestamp="2020-02-12T13:54:55.251326+00:00" xsi:type='ttp:TTPType'>
            <ttp:Title>MAEC Characterization of cca9fbb11c194fc53015185b741887a8</ttp:Title>
            <ttp:Behavior>
                <ttp:Malware>
                    <ttp:Malware_Instance xsi:type='stix-maec:MAEC4.1InstanceType'>
                        <stix-maec:MAEC id="NCCIC:package-b0a3bacd-c023-4178-afbb-9376136a613f" schema_version="2.1">
                            <maecPackage:Malware_Subjects>
                                <maecPackage:Malware_Subject id="NCCIC:malware_subject-e4b656ea-84e3-49c6-86ce-906ac1845405">
                                    <maecPackage:Malware_Instance_Object_Attributes idref="NCCIC:WinExecutableFile-49b344f2-f4ae-416f-a284-ad685cc66f3e"/>
                                    <maecPackage:Findings_Bundles>
                                        <maecPackage:Bundle defined_subject="true" id="NCCIC:bundle-3b1a4ecd-5fc9-4bba-94f9-3b550c1f4531" schema_version="4.1">
                                            <maecBundle:AV_Classifications>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>Antiy</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Trojan/Win32.Casdet</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>McAfee</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Trojan-Themida</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>K7</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Trojan ( 0040f4ef1 )</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>Cyren</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>W32/Trojan.QBAU-3559</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>Symantec</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Trojan Horse</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>Zillya!</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Trojan.Themida.Win32.3185</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>ClamAV</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Win.Trojan.Agent-7376504-0</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>BitDefender</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Gen:Variant.Barys.1619</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>Microsoft Security Essentials</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Trojan:Win32/Emotet</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>Sophos</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Troj/Agent-BCXR</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>Emsisoft</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Gen:Variant.Barys.1619 (B)</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>Avira</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>TR/Crypt.TPM.Gen</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>VirusBlokAda</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Trojan.Wacatac</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>Ahnlab</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Trojan/Win32.Agent</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>ESET</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>a variant of Win32/Packed.Themida.AOO trojan</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>NANOAV</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Trojan.Win32.TPM.ggaakh</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                                <maecBundle:AV_Classification>
                                                    <cyboxCommon:Vendor>Ikarus</cyboxCommon:Vendor>
                                                    <maecBundle:Classification_Name>Trojan.Win32.Themida</maecBundle:Classification_Name>
                                                </maecBundle:AV_Classification>
                                            </maecBundle:AV_Classifications>
                                        </maecPackage:Bundle>
                                    </maecPackage:Findings_Bundles>
                                </maecPackage:Malware_Subject>
                            </maecPackage:Malware_Subjects>
                        </stix-maec:MAEC>
                    </ttp:Malware_Instance>
                </ttp:Malware>
            </ttp:Behavior>
            <ttp:Resources>
                <ttp:Infrastructure>
                    <ttp:Observable_Characterization cybox_major_version="2" cybox_minor_version="1" cybox_update_version="0">
                        <cybox:Observable idref="NCCIC:Observable-c4299633-27e5-428d-89f5-e4c0a80da45c">
                        </cybox:Observable>
                    </ttp:Observable_Characterization>
                </ttp:Infrastructure>
            </ttp:Resources>
        </stix:TTP>
        <stix:TTP id="NCCIC:ttp-5c408461-e8c3-4d22-be16-5c9749b8ee5b" timestamp="2020-02-12T13:54:55.273860+00:00" xsi:type='ttp:TTPType'>
            <ttp:Title>emotet</ttp:Title>
            <ttp:Resources>
                <ttp:Infrastructure>
                    <ttp:Observable_Characterization cybox_major_version="2" cybox_minor_version="1" cybox_update_version="0">
                        <cybox:Observable idref="NCCIC:Observable-c4299633-27e5-428d-89f5-e4c0a80da45c">
                        </cybox:Observable>
                    </ttp:Observable_Characterization>
                </ttp:Infrastructure>
            </ttp:Resources>
        </stix:TTP>
        <stix:TTP id="NCCIC:ttp-ff018f8b-f21a-4bc9-bc4b-a193e986e0d5" timestamp="2020-02-12T13:54:55.274387+00:00" xsi:type='ttp:TTPType'>
            <ttp:Title>trojan</ttp:Title>
            <ttp:Resources>
                <ttp:Infrastructure>
                    <ttp:Observable_Characterization cybox_major_version="2" cybox_minor_version="1" cybox_update_version="0">
                        <cybox:Observable idref="NCCIC:Observable-c4299633-27e5-428d-89f5-e4c0a80da45c">
                        </cybox:Observable>
                    </ttp:Observable_Characterization>
                </ttp:Infrastructure>
            </ttp:Resources>
        </stix:TTP>
    </stix:TTPs>
    <stix:Incidents>
        <stix:Incident id="NCCIC:incident-3fc89923-6c1d-4ef2-8c8c-dc467633bb79" timestamp="2020-02-11T10:55:42-05:00" xsi:type='incident:IncidentType'>
            <incident:Title>10265965.r2.v1</incident:Title>
            <incident:Description><![CDATA[##### Incident Summary #####

None

##### Report Summary #####

This Malware Analysis Report (MAR) is the result of analytic efforts between Department of Homeland Security (DHS), the Federal Bureau of Investigation (FBI), and the Department of Defense (DoD). Working with U.S. Government partners, DHS, FBI, and DoD identified Trojan malware variants used by the North Korean government.  This malware variant has been identified as SLICKSHOES.  The U.S. Government refers to malicious cyber activity by the North Korean government as HIDDEN COBRA. For more information on HIDDEN COBRA activity, visit https[:]//www[.]us-cert.gov/hiddencobra. 

DHS, FBI, and DoD are distributing this MAR to enable network defense and reduce exposure to North Korean government malicious cyber activity. 

This MAR includes malware descriptions related to HIDDEN COBRA, suggested response actions and recommended mitigation techniques. Users or administrators should flag activity associated with the malware and report the activity to the Cybersecurity and Infrastructure Security Agency (CISA) or the FBI Cyber Watch (CyWatch), and give the activity the highest priority for enhanced mitigation. 

This sample is a Themida-packed dropper that decodes and drops a file "C:\Windows\Web\taskenc.exe" which is a Themida-packed beaconing implant. The beaconing implant does not execute the dropped file nor does it schedule any tasks to run the malware. The dropped beaconing implant uses an indigenous network encoding algorithm and is capable of many features including conducting system surveys, file upload/download, process and command execution, and screen captures.

##### Conclusion #####

None

##### Mitigation #####

None]]></incident:Description>
            <incident:Categories>
                <incident:Category xsi:type="stixVocabs:IncidentCategoryVocab-1.0">Malicious Code</incident:Category>
            </incident:Categories>
            <incident:Related_Indicators>
                <incident:Related_Indicator>
                    <stixCommon:Indicator idref="NCCIC:indicator-7da81689-9804-4b9d-b6f9-03b0d273a74b" xsi:type='indicator:IndicatorType'/>
                </incident:Related_Indicator>
            </incident:Related_Indicators>
            <incident:Related_Observables>
                <incident:Related_Observable>
                    <stixCommon:Relationship>Malicious Artifact Detected</stixCommon:Relationship>
                    <stixCommon:Observable idref="NCCIC:Observable-c4299633-27e5-428d-89f5-e4c0a80da45c">
                    </stixCommon:Observable>
                </incident:Related_Observable>
                <incident:Related_Observable>
                    <stixCommon:Relationship>Malicious Artifact Detected</stixCommon:Relationship>
                    <stixCommon:Observable idref="NCCIC:Observable-0ec04313-1772-42c6-a475-9fe30cfc180b">
                    </stixCommon:Observable>
                </incident:Related_Observable>
                <incident:Related_Observable>
                    <stixCommon:Relationship>Malicious Artifact Detected</stixCommon:Relationship>
                    <stixCommon:Observable idref="NCCIC:Observable-244095ff-0ba8-44e7-bf14-2089d6d4fc68">
                    </stixCommon:Observable>
                </incident:Related_Observable>
                <incident:Related_Observable>
                    <stixCommon:Relationship>Malicious Artifact Detected</stixCommon:Relationship>
                    <stixCommon:Observable idref="NCCIC:Observable-265bace3-7276-4316-ae63-092e8e5b0681">
                    </stixCommon:Observable>
                </incident:Related_Observable>
            </incident:Related_Observables>
            <incident:Leveraged_TTPs>
                <incident:Leveraged_TTP>
                    <stixCommon:TTP idref="NCCIC:ttp-93e930a2-f24b-4a7d-8c9a-732398d81db3" xsi:type='ttp:TTPType'/>
                </incident:Leveraged_TTP>
                <incident:Leveraged_TTP>
                    <stixCommon:TTP idref="NCCIC:ttp-5c408461-e8c3-4d22-be16-5c9749b8ee5b" xsi:type='ttp:TTPType'/>
                </incident:Leveraged_TTP>
                <incident:Leveraged_TTP>
                    <stixCommon:TTP idref="NCCIC:ttp-ff018f8b-f21a-4bc9-bc4b-a193e986e0d5" xsi:type='ttp:TTPType'/>
                </incident:Leveraged_TTP>
            </incident:Leveraged_TTPs>
        </stix:Incident>
    </stix:Incidents>
</stix:STIX_Package>
