{
    "type": "bundle",
    "id": "bundle--2e29b34e-9558-46ba-96b2-211295ece344",
    "objects": [
        {
            "type": "identity",
            "spec_version": "2.1",
            "id": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T11:21:12.000Z",
            "modified": "2021-02-04T11:21:12.000Z",
            "name": "CIRCL",
            "identity_class": "organization"
        },
        {
            "type": "report",
            "spec_version": "2.1",
            "id": "report--2e29b34e-9558-46ba-96b2-211295ece344",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T11:21:12.000Z",
            "modified": "2021-02-04T11:21:12.000Z",
            "name": "OSINT - Hildegard: New TeamTNT Malware Targeting Kubernetes",
            "published": "2021-02-04T11:21:39Z",
            "object_refs": [
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                "indicator--282fc55b-627c-4d5e-9342-1af5184ddb5a",
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                "indicator--a086e984-6da5-4f73-8030-469f98c3227c",
                "x-misp-object--94c1c886-20de-4707-b937-40b85b53bd3f",
                "indicator--d5ed01ea-338f-445b-90e6-e5344378aa83",
                "x-misp-object--62edf8d4-05c9-4862-8d42-f8a4806a36bc",
                "indicator--387943cb-ee93-42dd-98b0-2c27066365df",
                "x-misp-object--10416647-701f-4247-93af-3e201abed9b2",
                "indicator--13c55aeb-731f-4f9f-bed7-54bc16691ee0",
                "x-misp-object--663a8f21-2bf4-499e-9f5c-ba6bd04faa87",
                "indicator--1cc03dbc-d46a-4ee2-aef9-82cc7ef7c97a",
                "x-misp-object--1247892f-3395-4415-933b-581bc19ca772",
                "indicator--0c47742b-164b-4df9-8c71-ef7acafe77cc",
                "x-misp-object--7454fe7f-f8e1-45bc-acb5-b270c3d9d93d",
                "indicator--b7657286-0c79-4c4e-9e45-b5c47795b70e",
                "x-misp-object--16f3ee0a-c011-439f-8bf5-2f88b5671de2",
                "indicator--cd4e86bb-5672-428e-ad55-00bd5ec27323",
                "x-misp-object--31ac78bf-1fb8-40f3-8c88-a6f5c1c1ed9c",
                "indicator--172dce95-5a65-4cf0-b710-277a5832b326",
                "x-misp-object--cd6c16c4-35f5-474c-b49d-e5d213880efc",
                "indicator--de8d5991-babe-4c5d-9343-0a1bd17eaba9",
                "x-misp-object--a38d8b07-b456-42ae-b58a-036d656a2a25",
                "indicator--3b265851-d607-41db-883a-3cdf383f8c65",
                "x-misp-object--383195f4-cd06-40ad-b1f9-8a3f078d3c81",
                "x-misp-object--4a242786-2019-442c-a76c-a9b208d7a3c3",
                "note--2b0419ad-bb80-44c9-895c-eb6d227715f7",
                "relationship--d8295004-cc8a-45b1-918a-d89db53694a4",
                "relationship--4471af3d-0027-4204-85ca-c7a84b86b941",
                "relationship--2c6825db-5177-4066-9c31-ed1cf3aadc92",
                "relationship--bbe2b70d-d70d-4951-81ee-26f51d8087c4",
                "relationship--1f8dfd9c-6a89-4b23-964d-edfdd90c1b6f",
                "relationship--1cfed017-8d99-45f7-a0a5-0ca16ab17ef3",
                "relationship--6917a916-6b74-4ba2-8697-ff0cfeb3d772",
                "relationship--487348ab-913a-4eb4-a85b-d9b2f90d443b",
                "relationship--86b13727-5385-4767-a53e-e073fdf32cee",
                "relationship--d8b2fdd4-011b-4479-b821-64217ca241fa"
            ],
            "labels": [
                "Threat-Report",
                "misp:tool=\"MISP-STIX-Converter\"",
                "type:OSINT",
                "osint:lifetime=\"perpetual\"",
                "osint:certainty=\"50\""
            ],
            "object_marking_refs": [
                "marking-definition--613f2e26-407d-48c7-9eca-b8e91df99dc9"
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--176f9db1-1f95-4ea1-998a-7d0253d6d45f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T08:58:34.000Z",
            "modified": "2021-02-04T08:58:34.000Z",
            "description": "This machine hosts malicious files used in the campaign and receives the collected data to this C2.\r\nHosted files: TDGG, api.key, tmate, tt.sh, sGAU.sh, t.sh, x86_64.so, xmr.sh, xmrig, xmrig.so, ziggy, xmr3.assi",
            "pattern": "[domain-name:value = 'the.borg.wtf' AND domain-name:resolves_to_refs[*].value = '45.9.150.36']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T08:58:34Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "network"
                }
            ],
            "labels": [
                "misp:name=\"domain-ip\"",
                "misp:meta-category=\"network\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--ea90cee2-3338-459b-bf2e-8f84edd9c74d",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T08:59:13.000Z",
            "modified": "2021-02-04T08:59:13.000Z",
            "description": "The malware connects to this IP to obtain the victim host\u2019s public IP.\r\n",
            "pattern": "[(network-traffic:dst_ref.type = 'ipv4-addr' AND network-traffic:dst_ref.value = '147.75.47.199')]",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T08:59:13Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "network"
                }
            ],
            "labels": [
                "misp:name=\"ip-port\"",
                "misp:meta-category=\"network\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--4f61af6e-155f-46bd-ad05-8ef20e4ca408",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:00:11.000Z",
            "modified": "2021-02-04T09:00:11.000Z",
            "description": "This host hosts malicious scripts and binaries.\r\nHosted files: pei.sh, pei64.",
            "pattern": "[domain-name:value = 'teamtnt.red' AND domain-name:resolves_to_refs[*].value = '45.9.148.108']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:00:11Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "network"
                }
            ],
            "labels": [
                "misp:name=\"domain-ip\"",
                "misp:meta-category=\"network\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--740ba33d-f828-4737-a56f-303cfcd290f5",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:00:59.000Z",
            "modified": "2021-02-04T09:00:59.000Z",
            "description": "This host hosts malicious scripts and binaries.\r\nHosted files: aws2.sh",
            "pattern": "[domain-name:value = 'borg.wtf' AND domain-name:resolves_to_refs[*].value = '45.9.148.108']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:00:59Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "network"
                }
            ],
            "labels": [
                "misp:name=\"domain-ip\"",
                "misp:meta-category=\"network\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--2062baa3-04a0-4feb-9623-842a1aafec3c",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:01:53.000Z",
            "modified": "2021-02-04T09:01:53.000Z",
            "description": "This host is one of the C2s. It runs an IRC server on port 6667.\r\n",
            "pattern": "[domain-name:value = 'irc.borg.wtf' AND domain-name:resolves_to_refs[*].value = '123.245.9.147']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:01:53Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "network"
                }
            ],
            "labels": [
                "misp:name=\"domain-ip\"",
                "misp:meta-category=\"network\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--d335ffab-1b09-4ece-a139-43524c9a871a",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:02:43.000Z",
            "modified": "2021-02-04T09:02:43.000Z",
            "description": "This host is one of the C2s. It runs an IRC server on port 6667.\r\n",
            "pattern": "[domain-name:value = 'sampwn.anondns.net' AND domain-name:resolves_to_refs[*].value = '13.245.9.147']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:02:43Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "network"
                }
            ],
            "labels": [
                "misp:name=\"domain-ip\"",
                "misp:meta-category=\"network\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--ccd37fe0-a473-4e9c-acb0-55f7dc917a66",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:03:16.000Z",
            "modified": "2021-02-04T09:03:16.000Z",
            "description": "This host is one of the C2s. It runs an IRC server on port 6667.\r\n",
            "pattern": "[domain-name:resolves_to_refs[*].value = '164.68.106.96']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:03:16Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "network"
                }
            ],
            "labels": [
                "misp:name=\"domain-ip\"",
                "misp:meta-category=\"network\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--85a67a9c-b76a-424c-8fd7-fd2f413deafd",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:03:47.000Z",
            "modified": "2021-02-04T09:03:47.000Z",
            "description": "This host is one of the C2s. It runs an IRC server on port 6667.\r\n",
            "pattern": "[domain-name:resolves_to_refs[*].value = '62.234.121.105']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:03:47Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "network"
                }
            ],
            "labels": [
                "misp:name=\"domain-ip\"",
                "misp:meta-category=\"network\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--282fc55b-627c-4d5e-9342-1af5184ddb5a",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:59:06.000Z",
            "modified": "2021-02-04T09:59:06.000Z",
            "pattern": "[file:hashes.SHA256 = '2c1528253656ac09c7473911b24b243f083e60b98a19ba1bbb050979a1f38a0f' AND file:name = 'TDGGi' AND file:x_misp_text = 'script\tThis script downloads and executes tt.sh.']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:59:06Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--bdeca9c5-acfc-482a-973f-80386ddc837f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:59:06.000Z",
            "modified": "2021-02-04T09:59:06.000Z",
            "pattern": "[file:hashes.SHA256 = '2cde98579162ab165623241719b2ab33ac40f0b5d0a8ba7e7067c7aebc530172' AND file:name = 'tt.sh' AND file:x_misp_text = 'script\tThis script downloads and runs tmate. It collects system information from the victim\u2019s host and sends the collected data to C2(45.9.150[.]36)']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:59:06Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5d9e3240-96da-40be-866a-ea3fc431a40e",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:59:07.000Z",
            "modified": "2021-02-04T09:59:07.000Z",
            "pattern": "[file:hashes.SHA256 = 'b34df4b273b3bedaab531be46a0780d97b87588e93c1818158a47f7add8c7204' AND file:name = 'api.key' AND file:x_misp_text = 'text\tThe API key is used for creating a named tmate session from the compromised containers.']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:59:07Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--afa6e590-1959-4c42-b77e-1fd4a9896826",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:59:07.000Z",
            "modified": "2021-02-04T09:59:07.000Z",
            "pattern": "[file:hashes.SHA256 = 'd2fff992e40ce18ff81b9a92fa1cb93a56fb5a82c1cc428204552d8dfa1bc04f' AND file:name = 'tmate' AND file:x_misp_text = 'ELF\ttmate v2.4.0']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:59:07Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--a5e1d11b-0f73-4cf4-b3ef-b8e723e6d30a",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:59:07.000Z",
            "modified": "2021-02-04T09:59:07.000Z",
            "pattern": "[file:hashes.SHA256 = '74e3ccaea4df277e1a9c458a671db74aa47630928a7825f75994756512b09d64' AND file:name = 'sGAU.sh' AND file:x_misp_text = 'script\tThis script downloads and installs masscan. It scans Kubernetes\u2019 internal IP Kubelets running on port 10250. If masscan finds an exploitable Kubelet']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:59:07Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--2c26666d-b912-4e8a-9f68-803f0b824429",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T09:59:07.000Z",
            "modified": "2021-02-04T09:59:07.000Z",
            "pattern": "[file:hashes.SHA256 = '8e33496ea00218c07145396c6bcf3e25f4e38a1061f807d2d3653497a291348c' AND file:name = 'kshell' AND file:x_misp_text = 'script\tThe script performs remote code execution in containers via Kubelet\u2019s API. It also downloads and executes xmr.sh in a target container.']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T09:59:07Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--c939eb92-cd87-408a-b2c1-5c25430c0470",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
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                }
            ],
            "x_misp_meta_category": "file",
            "x_misp_name": "file"
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--d5ed01ea-338f-445b-90e6-e5344378aa83",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T10:14:24.000Z",
            "modified": "2021-02-04T10:14:24.000Z",
            "pattern": "[file:hashes.MD5 = 'fe9d149dec9cd182254ace576a332f56' AND file:hashes.SHA1 = '66f858f47aebad049a58d416ca5f7916bf3ec524' AND file:hashes.SHA256 = '3de32f315fd01b7b741cfbb7dfee22c30bf7b9a5a01d7ab6690fcb42759a3e9f']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2021-02-04T10:14:24Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "x-misp-object",
            "spec_version": "2.1",
            "id": "x-misp-object--62edf8d4-05c9-4862-8d42-f8a4806a36bc",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T10:14:24.000Z",
            "modified": "2021-02-04T10:14:24.000Z",
            "labels": [
                "misp:name=\"virustotal-report\"",
                "misp:meta-category=\"misc\""
            ],
            "x_misp_attributes": [
                {
                    "type": "datetime",
                    "object_relation": "last-submission",
                    "value": "2021-02-03T19:27:51+00:00",
                    "category": "Other",
                    "uuid": "7cce5fc0-9644-441d-8697-37e733ef44f5"
                },
                {
                    "type": "link",
                    "object_relation": "permalink",
                    "value": "https://www.virustotal.com/gui/file/3de32f315fd01b7b741cfbb7dfee22c30bf7b9a5a01d7ab6690fcb42759a3e9f/detection/f-3de32f315fd01b7b741cfbb7dfee22c30bf7b9a5a01d7ab6690fcb42759a3e9f-1612380471",
                    "category": "Payload delivery",
                    "uuid": "7d3b53ae-687b-416c-b654-f25154c2070d"
                },
                {
                    "type": "text",
                    "object_relation": "detection-ratio",
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                    "category": "Payload delivery",
                    "uuid": "70d081db-33dd-49a8-970b-038e2fd244b2"
                }
            ],
            "x_misp_meta_category": "misc",
            "x_misp_name": "virustotal-report"
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        {
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            "created": "2021-02-04T10:14:24.000Z",
            "modified": "2021-02-04T10:14:24.000Z",
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            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
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                "misp:meta-category=\"file\"",
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            ]
        },
        {
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            "created": "2021-02-04T10:14:24.000Z",
            "modified": "2021-02-04T10:14:24.000Z",
            "labels": [
                "misp:name=\"virustotal-report\"",
                "misp:meta-category=\"misc\""
            ],
            "x_misp_attributes": [
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                    "object_relation": "last-submission",
                    "value": "2021-02-03T19:40:43+00:00",
                    "category": "Other",
                    "uuid": "d4cd28b1-b60e-44b4-9c64-7e7c4f45b5b6"
                },
                {
                    "type": "link",
                    "object_relation": "permalink",
                    "value": "https://www.virustotal.com/gui/file/e6422d97d381f255cd9e9f91f06e5e4921f070b23e4e35edd539a589b1d6aea7/detection/f-e6422d97d381f255cd9e9f91f06e5e4921f070b23e4e35edd539a589b1d6aea7-1612381243",
                    "category": "Payload delivery",
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                },
                {
                    "type": "text",
                    "object_relation": "detection-ratio",
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                    "category": "Payload delivery",
                    "uuid": "563c3788-bd32-4dcc-a076-af2cdfff1e33"
                }
            ],
            "x_misp_meta_category": "misc",
            "x_misp_name": "virustotal-report"
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            "created": "2021-02-04T10:14:24.000Z",
            "modified": "2021-02-04T10:14:24.000Z",
            "pattern": "[file:hashes.MD5 = '9f98db93197c6dfb27475075ae14e8ae' AND file:hashes.SHA1 = 'd849ca5d8fea568c2ccc56719d9b1bc145c64c9e' AND file:hashes.SHA256 = '053318adb15cf23075f737daa153b81ab8bd0f2958fa81cd85336ecdf3d7de4e']",
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            "kill_chain_phases": [
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                    "phase_name": "file"
                }
            ],
            "labels": [
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                "misp:meta-category=\"file\"",
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            ]
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                    "value": "In January 2021, Unit 42 researchers detected a new malware campaign targeting Kubernetes clusters. The attackers gained initial access via a misconfigured kubelet that allowed anonymous access. Once getting a foothold into a Kubernetes cluster, the malware attempted to spread over as many containers as possible and eventually launched cryptojacking operations. Based on the tactics, techniques and procedures (TTP) that the attackers used, we believe this is a new campaign from TeamTNT. We refer to this new malware as Hildegard, the username of the tmate account that the malware used.\r\n\r\nTeamTNT is known for exploiting unsecured Docker daemons and deploying malicious container images, as documented in previous research (Cetus, Black-T and TeamTNT DDoS). However, this is the first time we found TeamTNT targeting Kubernetes environments. In addition to the same tools and domains identified in TeamTNT\u2019s previous campaigns, this new malware carries multiple new capabilities that make it more stealthy and persistent. In particular, we found that TeamTNT\u2019s Hildegard malware:\r\n\r\nUses two ways to establish command and control (C2) connections: a tmate reverse shell and an Internet Relay Chat (IRC) channel.\r\nUses a known Linux process name (bioset) to disguise the malicious process.\r\nUses a library injection technique based on LD_PRELOAD to hide the malicious processes.\r\nEncrypts the malicious payload inside a binary to make automated static analysis more difficult.\r\nWe believe that this new malware campaign is still under development due to its seemingly incomplete codebase and infrastructure. At the time of writing, most of Hildegard\u2019s infrastructure has been online for only a month. The C2 domain borg[.]wtf was registered on Dec. 24, 2020, the IRC server went online on Jan. 9, 2021, and some malicious scripts have been updated frequently. The malware campaign has ~25.05 KH/s hashing power, and there is 11 XMR (~$1,500) in the wallet.\r\n\r\nThere has not been any activity since our initial detection, which indicates the threat campaign may still be in the reconnaissance and weaponization stage. However, knowing this malware\u2019s capabilities and target environments, we have good reason to believe that the group will soon launch a larger-scale attack. The malware can leverage the abundant computing resources in Kubernetes environments for cryptojacking and potentially exfiltrate sensitive data from tens to thousands of applications running in the clusters.",
                    "category": "Other",
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            "x_misp_meta_category": "misc",
            "x_misp_name": "report"
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            "id": "note--2b0419ad-bb80-44c9-895c-eb6d227715f7",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2021-02-04T11:21:12.000Z",
            "modified": "2021-02-04T11:21:12.000Z",
            "abstract": "Report from - https://unit42.paloaltonetworks.com/hildegard-malware-teamtnt/ (1612437672)",
            "content": "html   [if IE]> <div class=\"alert alert-warning\"> You are using an <strong>outdated</strong> browser. Please <a href=\"http://browsehappy.com/\">upgrade your browser</a> to improve your experience. </div> <![endif]   \n* Tools\n * ATOMs\n * Speaking Events\n * About Us\n \n            By Jay Chen, Aviv Sasson and Ariel Zelivansky \n\n February 3, 2021 at 6:00 AM\n\n Category: Unit 42\n\n Tags: Cloud, containers, cryptojacking, Docker, Kubernetes, public cloud, TeamTnT\n\n           This post is also available in: \u65e5\u672c\u8a9e (Japanese)\n\n## Executive Summary\n\n In January 2021, Unit 42 researchers detected a new malware campaign targeting Kubernetes clusters. The attackers gained initial access via a misconfigured kubelet that allowed anonymous access. Once getting a foothold into a Kubernetes cluster, the malware attempted to spread over as many containers as possible and eventually launched cryptojacking operations. Based on the tactics, techniques and procedures (TTP) that the attackers used, we believe this is a new campaign from TeamTNT. We refer to this new malware as **Hildegard**, the username of the tmate account that the malware used.\n\n TeamTNT is known for exploiting unsecured Docker daemons and deploying malicious container images, as documented in previous research (Cetus, Black-T and TeamTNT DDoS). However, this is the first time we found TeamTNT targeting Kubernetes environments. In addition to the same tools and domains identified in TeamTNT\u2019s previous campaigns, this new malware carries multiple new capabilities that make it more stealthy and persistent. In particular, we found that TeamTNT\u2019s Hildegard malware:\n\n \n * Uses two ways to establish command and control (C2) connections: a tmate reverse shell and an Internet Relay Chat (IRC) channel.\n * Uses a known Linux process name (bioset) to disguise the malicious process.\n * Uses a library injection technique based on LD\\_PRELOAD to hide the malicious processes.\n * Encrypts the malicious payload inside a binary to make automated static analysis more difficult.\n \n We believe that this new malware campaign is still under development due to its seemingly incomplete codebase and infrastructure. At the time of writing, most of Hildegard\u2019s infrastructure has been online for only a month. The C2 domain borg[.]wtf was registered on Dec. 24, 2020, the IRC server went online on Jan. 9, 2021, and some malicious scripts have been updated frequently. The malware campaign has ~25.05 KH/s hashing power, and there is 11 XMR (~$1,500) in the wallet.\n\n **There has not been any activity since our initial detection, which indicates the threat campaign may still be in the reconnaissance and weaponization stage.** However, knowing this malware\u2019s capabilities and target environments, we have good reason to believe that the group will soon launch a larger-scale attack. The malware can leverage the abundant computing resources in Kubernetes environments for cryptojacking and potentially exfiltrate sensitive data from tens to thousands of applications running in the clusters.\n\n Palo Alto Networks customers running Prisma Cloud are protected from this threat by the Runtime Protection feature, Cryptominer Detection feature and the Prisma Cloud Compute Kubernetes Compliance Protection, which alerts on an insufficient Kubernetes configuration and provides secure alternatives.\n\n # \n\n Figure 1. Attacker and malware\u2019s movement. ## Tactics, Techniques and Procedures\n\n Figure 1 illustrates how the attacker entered, moved laterally and eventually performed cryptojacking in multiple containers.\n\n \n 2. The attacker started by exploiting an unsecured Kubelet on the internet and searched for containers running inside the Kubernetes nodes. After finding container 1 in Node A, the attacker attempted to perform remote code execution (RCE) in container 1.\n 4. The attacker downloaded tmate and issued a command to run it and establish a reverse shell to tmate.io from container 1. The attacker then continued the attack with this tmate session.\n 6. From container 1, the attacker used masscan to scan Kubernetes\u2019s internal network and found unsecured Kubelets in Node B and Node C. The attacker then attempted to deploy a malicious crypto mining script (xmr.sh) to containers managed by these Kubelets (containers 2-7).\n 8. Containers that ran xmr.sh started an xmrig process and established an IRC channel back to the IRC C2.\n 10. The attacker could also create another tmate session from one of the containers (container 4). With the reverse shell, the attacker could perform more manual reconnaissance and operations.\n \n The indicators of compromise (IOCs) found in each container are listed below. These files are either shell script or Executable Linkable Format (ELF). The IOC section at the end of the blog contains the hash and details of each file.\n\n \n * **Container 1**: TDGG was dropped and executed via Kubelet. TDGG then subsequently downloaded and executed tt.sh, api.key and tmate. The attacker used the established tmate connection to drop and run sGAU.sh, kshell, install\\_monerod.bash, setup\\_moneroocean\\_miner.sh and xmrig (MoneroOcean).\n * **Container 2-7**: xmr.sh was dropped and executed via Kubelet.\n * **Container 4**: The attacker also established a tmate session in this container. The attacker then dropped and executed pei.sh, pei64/32, xmr3.assi, aws2.sh, t.sh, tmate,x86\\_64.so, xmrig and xmrig.so.\n \n Figure 2 maps the malware campaign\u2019s TTP to MITRE ATT&CK tactics. The following sections will detail the techniques used in each stage.\n\n Figure 2. Attacker\u2019s tactics, techniques and procedures. ## Initial Access\n\n kubelet is an agent running on each Kubernetes node. It takes RESTful requests from various components (mainly kube-apiserver) and performs pod-level operations. Depending on the configuration, kubelet may or may not accept unauthenticated requests. Standard Kubernetes deployments come with anonymous access to kubelet by default. However, most managed Kubernetes services such as Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE) and Kubernetes operations (Kops) all enforce proper authentication by default.\n\n We discovered that TeamTNT gained initial access with the Hildegard malware by executing commands on kubelets that allow anonymous access. This was achieved by accessing the kubelet\u2019s run command API and executing commands on running containers.\n\n ## Execution\n\n Hildegard uses kubelet\u2019s API to execute commands inside containers. The initial commands create a tmate reverse shell that allows the attacker to carry out the subsequent operation. Unlike the techniques that TeamTNT used in the past, this malware campaign did not pull or run any new container image.\n\n ## Privilege Escalation\n\n Although Unit 42 researchers have not observed an attempt to perform privilege escalation, the malware dropped two adversarial tools, Peirates and BOtB, which are capable of breaking out of containers via known vulnerabilities or accessing cloud resources via exposed cloud credentials.\n\n #### **Container Breakout**\n\n BOtB can perform a container breakout using a known vulnerability such as CVE-2019-5736. It can also escape from privileged containers that have enabled CAPS and SYSCALLS.\n\n #### **Access to Cloud Resources**\n\n Peirates can gather multiple infrastructures and cloud credentials. It looks for identity and access management (IAM) credentials from cloud metadata services and service account tokens from the Kubernetes clusters. With the identified credentials, it then further attempts to move laterally or gain control of the cluster. While we observed Peirates in use, the container it was executed in had no credentials.\n\n ## Defense Evasion\n\n #### **Library Injection**\n\n Hildegard uses LD\\_PRELOAD to hide the malicious process launched inside the containers. The malware modified the /etc/ld.so.preload file to intercept shared libraries\u2019 imported functions. In particular, the malware overwrites two functions: readdir() and readdir64(), which are responsible for returning the directory entries in the file system. The overwritten functions filter out queries made to directory entries under /proc. The functions then drop queries with keywords such as tmate, xmrig and ziggy. This way, when applications try to identify the running processes (by reading files under /proc) in the containers, tmate, xmrig and ziggy will not be found. Linux tools such as ps, top and many other container monitoring tools will be blinded from these malicious processes.\n\n Figure 3. Function that overwrites readdir64() in X86\\_64.so. #### **Encrypted ELF Binary**\n\n Hildegard deploys an IRC agent built from the open-source project ziggystartux. To avoid being detected by automated static analysis tools, the ziggystartux ELF is encrypted and packed in another binary (ziggy). When the binary is executed, the ziggystartux ELF is decrypted by a hardcoded Advanced Encryption Standard (AES) key and executed in memory.\n\n Figure 4. Unpacking and executing the payload. #### **Disguised Process Name**\n\n The malware names the IRC process \u201cbioset\u201d, which is the name of a well-known Linux kernel process bioset. If one is only looking at the names of the running processes on a host, one can easily overlook this disguised process.\n\n **DNS Monitoring Bypass**  \n The malware modifies the system DNS resolvers and uses Google\u2019s public DNS servers to avoid being detected by DNS monitoring tools.\n\n Figure 5. DNS resolver modification. #### **Delete Files and Clear Shell History**\n\n All the scripts are deleted immediately after being executed. TeamTNT also uses the \u201chistory -c\u201d command to clear the shell log in every script.\n\n Figure 6. The script clears the history and deletes itself. ## Credential Access\n\n Hildegard searches for credential files on the host, as well as queries metadata for cloud-specific credentials. The identified credentials are sent back to the C2.\n\n The searched credentials include:\n\n \n * Cloud access keys.\n * Cloud access tokens.\n * SSH keys.\n * Docker credentials.\n * Kubernetes service tokens.\n \n The metadata servers searched:\n\n \n * 169.254.169.254\n * 169.254.170.2\n \n Figure 7. The script looks for credentials. ## Discovery\n\n Hildegard performs several reconnaissance operations to explore the environment.\n\n \n * It gathers and sends back the host\u2019s OS, CPU and memory information.\n * It uses masscan to search for kubelets in Kubernetes\u2019 internal network.\n * It uses kubelet\u2019s API to search for running containers in a particular node.\n \n Figure 8. The script looks for system and network information. ## Lateral Movement\n\n Hildegard mainly uses the unsecured kubelet to move laterally inside a Kubernetes cluster. During the discovery stage, the malware finds the exploitable kubelets and the containers these kubelets manage. The malware then creates C2 channels (tmate or IRC) and deploys malicious crypto miners in these containers. Although not observed by Unit 42 researchers, the attacker may also move laterally with the stolen credentials.\n\n ## Command and Control\n\n Once gaining the initial foothold into a container, Hildegard establishes either a tmate session or an IRC channel back to the C2. It is unclear how TeamTNT chooses and tasks between these two C2 channels, as both can serve the same purpose. At the time of writing, tmate sessions are the only way the attacker interacts with the compromised containers. Unit 42 researchers have not observed any commands in the IRC channel. However, the IRC server\u2019s metadata indicates that the server was deployed on Jan. 9, 2021, and there are around 220 clients currently connected to the server.\n\n Figure 9. Tmate named session created by the malware. Figure 10. The IRC servers are hardcoded in the ziggy binary. Figure 11.The IRC traffic captured at the IRC client. ## Impact\n\n The most significant impact of the malware is resource hijacking and denial of service (DoS). The cryptojacking operation can quickly drain the entire system\u2019s resources and disrupt every application in the cluster. The xmrig mining process joins the supportxmr mining pool using the wallet address 428uyvSqdpVZL7HHgpj2T5SpasCcoHZNTTzE3Lz2H5ZkiMzqayy19sYDcBGDCjoWbTfLBnc3tc9rG4Y8gXQ8fJiP5tqeBda. At the time of writing, the malware campaign has ~25.05 KH/s hashing power and there is 11 XMR (~$1,500) in the wallet.\n\n Figure 12. Mining activity on supportxmr. ## Conclusion\n\n Unlike a Docker engine that runs on a single host, a Kubernetes cluster typically contains more than one host and every host can run multiple containers. Given the abundant resources in a Kubernetes infrastructure, a hijacked Kubernetes cluster can be more profitable than a hijacked Docker host. This new TeamTNT malware campaign is one of the most complicated attacks targeting Kubernetes. This is also the most feature-rich malware we have seen from TeamTNT so far. In particular, the threat actor has developed more sophisticated tactics for initial access, execution, defense evasion and C2. These efforts make the malware more stealthy and persistent. Although the malware is still under development and the campaign is not yet widely spread, we believe the attacker will soon mature the tools and start a large-scale deployment.\n\n Palo Alto Networks customers running Prisma Cloud are protected from this threat by the Runtime Protection features, Cryptominer Detection and by the Prisma Cloud Compute Kubernetes Compliance Protection, which alerts on an insufficient Kubernetes configuration and provides secure alternatives.\n\n Figure 13. Prisma Cloud Compute Kubernetes compliance protections. Figure 14. Prisma Cloud Compute alerting on crypto mining incident. ## **Indicators of Compromise**\n\n #### **Domains/IPs:**\n\n    **Domain/IP** **Description**   The.borg[.]wtf (45.9.150[.]36)\n\n This machine hosts malicious files used in the campaign and receives the collected data to this C2. Hosted files: TDGG, api.key, tmate, tt.sh, sGAU.sh, t.sh, x86\\_64.so, xmr.sh, xmrig, xmrig.so, ziggy, xmr3.assi\n\n   147.75.47[.]199 The malware connects to this IP to obtain the victim host\u2019s public IP.   teamtnt[.]red  \n (45.9.148[.]108) This host hosts malicious scripts and binaries.  \n Hosted files: pei.sh, pei64.   Borg[.]wtf  \n (45.9.148[.]108) This host hosts malicious scripts and binaries.  \n Hosted files: aws2.sh   irc.borg[.]wtf  \n (123.245.9[.]147) This host is one of the C2s. It runs an IRC server on port 6667.   sampwn.anondns[.]net (13.245.9[.]147)\n\n This host is one of the C2s. It runs an IRC server on port 6667.   164.68.106[.]96 This host is one of the C2s. It runs an IRC server on port 6667.   62.234.121[.]105 This host is one of the C2s. It runs an IRC server on port 6667.    #### **Files:**\n\n    **SHA256** **File Name** **Type** **Description**   2c1528253656ac09c7473911b24b243f083e60b98a19ba1bbb050979a1f38a0f TDGG script This script downloads and executes tt.sh.   2cde98579162ab165623241719b2ab33ac40f0b5d0a8ba7e7067c7aebc530172 tt.sh script This script downloads and runs tmate. It collects system information from the victim\u2019s host and sends the collected data to C2(45.9.150[.]36)   b34df4b273b3bedaab531be46a0780d97b87588e93c1818158a47f7add8c7204 api.key text The API key is used for creating a named tmate session from the compromised containers.   d2fff992e40ce18ff81b9a92fa1cb93a56fb5a82c1cc428204552d8dfa1bc04f tmate ELF tmate v2.4.0   74e3ccaea4df277e1a9c458a671db74aa47630928a7825f75994756512b09d64 sGAU.sh script This script downloads and installs masscan. It scans Kubernetes\u2019 internal IP Kubelets running on port 10250. If masscan finds an exploitable Kubelet, it attempts to download and execute a cryptojacking script in all the containers.   8e33496ea00218c07145396c6bcf3e25f4e38a1061f807d2d3653497a291348c kshell script The script performs remote code execution in containers via Kubelet\u2019s API. It also downloads and executes xmr.sh in a target container.   518a19aa2c3c9f895efa0d130e6355af5b5d7edf28e2a2d9b944aa358c23d887 install\\_monerod.bash script The script is hosted in this Github repo. It pulls and builds the official monero project. It then creates a user named \u201cmonerodaemon\u201d and starts the monero service.   5923f20010cb7c1d59aab36ba41c84cd20c25c6e64aace65dc8243ea827b537b setup\\_moneroocean\\_miner.sh script The script is hosted in this Github repo. It pulls and runs the MoneroOcean advanced version of xmrig.   a22c2a6c2fdc5f5b962d2534aaae10d4de0379c9872f07aa10c77210ca652fa9 xmrig (oneroocean) ELF xmrig 6.7.2-mo3. This binary is hosted in MoneroOcean/xmrig Github repo.   ee6dbbf85a3bb301a2e448c7fddaa4c1c6f234a8c75597ee766c66f52540d015 pei.sh script This script downloads and executes pei64 or pei32, depending on the host\u2019s architecture.   937842811b9e2eb87c4c19354a1a790315f2669eea58b63264f751de4da5438d pei64 ELF This is a Kubernetes penetration tool from the peirates project. The tool is capable of escalating privilege and pivoting through the Kubernetes cluster.   72cff62d801c5bcb185aa299eb26f417aad843e617cf9c39c69f9dde6eb82742 pei32 ELF Same as pei64, but for i686 architecture.   12c5c5d556394aa107a433144c185a686aba3bb44389b7241d84bea766e2aea3 xmr3.assi script The script downloads and runs aws2.sh, t.sh and xmrig.   053318adb15cf23075f737daa153b81ab8bd0f2958fa81cd85336ecdf3d7de4e aws2.sh script The script searches for cloud credentials and sends the identified credentials to C2 (the.borg[.]wtf).   e6422d97d381f255cd9e9f91f06e5e4921f070b23e4e35edd539a589b1d6aea7 t.sh script The script downloads x86\\_64.so and tmate from C2. It modifies ld.so.preload and starts a tmate named session. It then sends back the victim\u2019s system info and tmate session to C2.   77456c099facd775238086e8f9420308be432d461e55e49e1b24d96a8ea585e8 x86\\_64.so ELF This shared object replaces the existing /etc/ld.so.preload file. It uses the LD\\_PRELOAD trick to hide the tmate process.   78f92857e18107872526feb1ae834edb9b7189df4a2129a4125a3dd8917f9983 xmrig ELF xmrig v6.7.0   3de32f315fd01b7b741cfbb7dfee22c30bf7b9a5a01d7ab6690fcb42759a3e9f xmrig.so ELF This shared object replaces the existing /etc/ld.so.preload. It uses the LD\\_PRELOAD trick to hide the xmrig process.\n\n   fe0f5fef4d78db808b9dc4e63eeda9f8626f8ea21b9d03cbd884e37cde9018ee xmr.sh script The script downloads and executes xmrig and ziggy.   74f122fb0059977167c5ed34a7e217d9dfe8e8199020e3fe19532be108a7d607 ziggy ELF ziggy is a binary that packs an encrypted ELF. The binary decrypts the ELF at runtime and runs it in the memory. The encrypted ELF is built from ZiggyStarTux, an IRC client for embedded devices.     \n\n  #### Get updates from   \n Palo Alto  \n Networks!\n\n Sign up to receive the latest news, cyber threat intelligence and research from us\n\n  <form action=\"https://app-guse4001.marketo.com/index.php/leadCapture/save2\" method=\"post\" novalidate class=\"subscribe-form py-25\" name=\"Unit42\\_Subscribe\">     <input type=\"hidden\" value=\"818-CZC-273\" name=\"munchkinId\">          Please enter your email address!\n\n        Please mark, I'm not a robot!\n\n    By submitting this form, you agree to our Terms of Use and acknowledge our Privacy Statement.",
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    ]
}