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chg: [attack] update to latest ATT&CK data
This commit is contained in:
Christophe Vandeplas
parent
1581827875
commit
4ab9bbbfa3
6 changed files with 5873 additions and 1040 deletions
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@ -246,6 +246,13 @@
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "d376668f-b208-42de-b1f5-fdfe0ad4b753",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "eb88d97c-32f1-40be-80f0-d61a4b0b4b31",
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@ -895,6 +902,20 @@
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "723e3a2b-ca0d-4daa-ada8-82ea35d3733a",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "3298ce88-1628-43b1-87d9-0b5336b193d7",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "987988f0-cf86-4680-a875-2f6456ab2448",
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@ -1612,26 +1633,6 @@
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"uuid": "82c21600-ccb6-4232-8c04-ef3792b56628",
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"value": "Endpoint Denial of Service Mitigation - T1499"
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},
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{
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"description": "Application developers should use device-provided credential storage mechanisms such as Android's KeyStore or iOS's KeyChain. These can prevent credentials from being exposed to an adversary.",
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"meta": {
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"external_id": "M1008",
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"refs": [
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"https://attack.mitre.org/mitigations/M1008"
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]
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},
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"related": [
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{
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"dest-uuid": "702055ac-4e54-4ae9-9527-e23a38e0b160",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "d2a199d2-dfea-4d0c-987d-6195ed17be9c",
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"value": "Use Device-Provided Credential Storage - M1008"
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},
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{
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"description": "Application isolation and least privilege help lesson the impact of an exploit. Application isolation will limit what other processes and system features the exploited target can access, and least privilege for service accounts will limit what permissions the exploited process gets on the rest of the system. Web Application Firewalls may be used to limit exposure of applications.\n\nSegment externally facing servers and services from the rest of the network with a DMZ or on separate hosting infrastructure.\n\nUse secure coding best practices when designing custom software that is meant for deployment to externally facing systems. Avoid issues documented by OWASP, CWE, and other software weakness identification efforts.\n\nRegularly scan externally facing systems for vulnerabilities and establish procedures to rapidly patch systems when critical vulnerabilities are discovered through scanning and through public disclosure.",
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"meta": {
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@ -1991,6 +1992,41 @@
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "e399430e-30b7-48c5-b70a-f44dc8c175cb",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "c4b96c0b-cb58-497a-a1c2-bb447d79d692",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "d8940e76-f9c1-4912-bea6-e21c251370b6",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "6683aa0c-d98a-4f5b-ac57-ca7e9934a760",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "6c49d50f-494d-4150-b774-a655022d20a6",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "0beabf44-e8d8-4ae4-9122-ef56369a2564",
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@ -3509,6 +3545,20 @@
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "27960489-4e7f-461d-a62a-f5c0cb521e4a",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "890c9858-598c-401d-a4d5-c67ebcdd703a",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "21da4fd4-27ad-4e9c-b93d-0b9b14d02c96",
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@ -4157,6 +4207,27 @@
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "b17a1a56-e99c-403c-8948-561df0cffe81",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "73c26732-6422-4081-8b63-6d0ae93d449e",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "39dd7871-f59b-495f-a9a5-3cb8cc50c9b2",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "25dc1ce8-eb55-4333-ae30-a7cb4f5894a1",
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@ -4479,6 +4550,20 @@
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "27960489-4e7f-461d-a62a-f5c0cb521e4a",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "3298ce88-1628-43b1-87d9-0b5336b193d7",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "feff9142-e8c2-46f4-842b-bd6fb3d41157",
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@ -4898,6 +4983,41 @@
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "3298ce88-1628-43b1-87d9-0b5336b193d7",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "890c9858-598c-401d-a4d5-c67ebcdd703a",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "d4bdbdea-eaec-4071-b4f9-5105e12ea4b6",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "e49920b0-6c54-40c1-9571-73723653205f",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "b17a1a56-e99c-403c-8948-561df0cffe81",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "93e7968a-9074-4eac-8ae9-9f5200ec3317",
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@ -5492,6 +5612,20 @@
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "d456de47-a16f-4e46-8980-e67478a12dcb",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "4fd8a28b-4b3a-4cd6-a8cf-85ba5f824a7f",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "9bb9e696-bff8-4ae1-9454-961fc7d91d5f",
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"value": "Account Use Policies - M1036"
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},
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{
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"description": "Use network appliances to filter ingress or egress traffic and perform protocol-based filtering.",
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"description": "Use network appliances to filter ingress or egress traffic and perform protocol-based filtering. Configure software on endpoints to filter network traffic.",
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"meta": {
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"external_id": "M1037",
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"refs": [
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@ -6029,6 +6163,34 @@
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "1c2fd73a-e634-44ed-b1b5-9e7cf7404e9f",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "d4bdbdea-eaec-4071-b4f9-5105e12ea4b6",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "3298ce88-1628-43b1-87d9-0b5336b193d7",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "b17a1a56-e99c-403c-8948-561df0cffe81",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "20f6a9df-37c4-4e20-9e47-025983b1b39d",
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@ -7402,6 +7564,27 @@
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "3298ce88-1628-43b1-87d9-0b5336b193d7",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "b17a1a56-e99c-403c-8948-561df0cffe81",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "10ffac09-e42d-4f56-ab20-db94c67d76ff",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "b045d015-6bed-4490-bd38-56b41ece59a0",
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@ -8053,6 +8236,55 @@
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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{
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"dest-uuid": "e2ea7f6b-8d4f-49c3-819d-660530d12b77",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "948a447c-d783-4ba0-8516-a64140fcacd5",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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"type": "mitigates"
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{
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"dest-uuid": "d1f1337e-aea7-454c-86bd-482a98ffaf62",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "786f488c-cb1f-4602-89c5-86d982ee326b",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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"type": "mitigates"
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{
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"dest-uuid": "d8940e76-f9c1-4912-bea6-e21c251370b6",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "73c26732-6422-4081-8b63-6d0ae93d449e",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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},
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{
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"dest-uuid": "e399430e-30b7-48c5-b70a-f44dc8c175cb",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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}
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],
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"uuid": "1553b156-6767-47f7-9eb4-2a692505666d",
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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"tags": [
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"type": "mitigates"
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},
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{
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"dest-uuid": "d1f1337e-aea7-454c-86bd-482a98ffaf62",
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"tags": [
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"estimative-language:likelihood-probability=\"almost-certain\""
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],
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"type": "mitigates"
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"uuid": "653492e3-27be-4a0e-b08c-938dd2b7e0e1",
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"estimative-language:likelihood-probability=\"almost-certain\""
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||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "649f7268-4c12-483b-ac84-4b7bca9fe2ee",
|
||||
|
|
@ -8631,6 +8912,20 @@
|
|||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "890c9858-598c-401d-a4d5-c67ebcdd703a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "10ffac09-e42d-4f56-ab20-db94c67d76ff",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "2a4f6c11-a4a7-4cb9-b0ef-6ae1bb3a718a",
|
||||
|
|
@ -8831,6 +9126,20 @@
|
|||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "4579d9c9-d5b9-45e0-9848-0104637b579f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "d4bdbdea-eaec-4071-b4f9-5105e12ea4b6",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "90c218c3-fbf8-4830-98a7-e8cfb7eaa485",
|
||||
|
|
@ -9162,6 +9471,13 @@
|
|||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "101c3a64-9ba5-46c9-b573-5c501053cbca",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "47e0e9fe-96ce-4f65-8bb1-8be1feacb5db",
|
||||
|
|
@ -9203,6 +9519,34 @@
|
|||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "723e3a2b-ca0d-4daa-ada8-82ea35d3733a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "59bd0dec-f8b2-4b9a-9141-37a1e6899761",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "10ffac09-e42d-4f56-ab20-db94c67d76ff",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "c5e31fb5-fcbd-48a4-af8c-5a6ed5b932e5",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "b5dbb4c5-b0b1-40b1-80b6-e9e84ab90067",
|
||||
|
|
@ -9265,6 +9609,27 @@
|
|||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "d456de47-a16f-4e46-8980-e67478a12dcb",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "723e3a2b-ca0d-4daa-ada8-82ea35d3733a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "4fd8a28b-4b3a-4cd6-a8cf-85ba5f824a7f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "590777b3-b475-4c7c-aaf8-f4a73b140312",
|
||||
|
|
@ -9813,11 +10178,60 @@
|
|||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "27960489-4e7f-461d-a62a-f5c0cb521e4a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "d456de47-a16f-4e46-8980-e67478a12dcb",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "4fd8a28b-4b3a-4cd6-a8cf-85ba5f824a7f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "1608f3e1-598a-42f4-a01a-2e252e81728f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "3298ce88-1628-43b1-87d9-0b5336b193d7",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "890c9858-598c-401d-a4d5-c67ebcdd703a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "b17a1a56-e99c-403c-8948-561df0cffe81",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "cc2399fd-3cd3-4319-8d0a-fbd6420cdaf8",
|
||||
"value": "Audit - M1047"
|
||||
}
|
||||
],
|
||||
"version": 14
|
||||
"version": 15
|
||||
}
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load diff
File diff suppressed because it is too large
Load diff
|
|
@ -361,6 +361,13 @@
|
|||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "9ddc2534-e91c-4dab-a8f6-43dab81e8142",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
}
|
||||
],
|
||||
"uuid": "aafea02e-ece5-4bb2-91a6-3bf8c7f38a39",
|
||||
|
|
@ -1031,6 +1038,13 @@
|
|||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "c8e87b83-edbb-48d4-9295-4974897525b7",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
}
|
||||
],
|
||||
"uuid": "64764dc6-a032-495f-8250-1e4c06bdc163",
|
||||
|
|
@ -1338,6 +1352,196 @@
|
|||
"uuid": "03342581-f790-4f03-ba41-e82e67392e23",
|
||||
"value": "Net - S0039"
|
||||
},
|
||||
{
|
||||
"description": "[esentutl](https://attack.mitre.org/software/S0404) is a command-line tool that provides database utilities for the Windows Extensible Storage Engine.(Citation: Microsoft Esentutl)",
|
||||
"meta": {
|
||||
"external_id": "S0404",
|
||||
"mitre_platforms": [
|
||||
"Windows"
|
||||
],
|
||||
"refs": [
|
||||
"https://attack.mitre.org/software/S0404",
|
||||
"https://docs.microsoft.com/en-us/previous-versions/windows/it-pro/windows-server-2012-R2-and-2012/hh875546(v=ws.11)"
|
||||
],
|
||||
"synonyms": [
|
||||
"esentutl",
|
||||
"esentutl.exe"
|
||||
]
|
||||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "e6919abc-99f9-4c6c-95a5-14761e7b2add",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "f2d44246-91f1-478a-b6c8-1227e0ca109d",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "0a3ead4e-6d47-4ccb-854c-a6a4f9d96b22",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
}
|
||||
],
|
||||
"uuid": "c256da91-6dd5-40b2-beeb-ee3b22ab3d27",
|
||||
"value": "esentutl - S0404"
|
||||
},
|
||||
{
|
||||
"description": "[FlexiSpy](https://attack.mitre.org/software/S0408) is sophisticated surveillanceware for iOS and Android. Publicly-available, comprehensive analysis has only been found for the Android version.(Citation: FortiGuard-FlexiSpy)(Citation: CyberMerchants-FlexiSpy)\n\n[FlexiSpy](https://attack.mitre.org/software/S0408) markets itself as a parental control and employee monitoring application.(Citation: FlexiSpy-Website)",
|
||||
"meta": {
|
||||
"external_id": "S0408",
|
||||
"mitre_platforms": [
|
||||
"Android"
|
||||
],
|
||||
"refs": [
|
||||
"https://attack.mitre.org/software/S0408",
|
||||
"https://d3gpjj9d20n0p3.cloudfront.net/fortiguard/research/Dig%20Deep%20into%20FlexiSpy%20for%20Android%28white%20paper%29_KaiLu.pdf",
|
||||
"http://www.cybermerchantsofdeath.com/blog/2017/04/22/FlexiSpy.html",
|
||||
"https://www.flexispy.com/"
|
||||
],
|
||||
"synonyms": [
|
||||
"FlexiSpy"
|
||||
]
|
||||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "948a447c-d783-4ba0-8516-a64140fcacd5",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "d13fa042-8f26-44e1-a2a8-af0bf8e2ac9a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "fd658820-cbba-4c95-8ac9-0fac6b1099e2",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "c5089859-b21f-40a3-8be4-63e381b8b1c0",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "bd4d32f5-eed4-4018-a649-40b229dd1d69",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "702055ac-4e54-4ae9-9527-e23a38e0b160",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "6683aa0c-d98a-4f5b-ac57-ca7e9934a760",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "d8940e76-f9c1-4912-bea6-e21c251370b6",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "8e27551a-5080-4148-a584-c64348212e4f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "e8b4e1ec-8e3b-484c-9038-4459b1ed8060",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "4e6620ac-c30c-4f6d-918e-fa20cae7c1ce",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "62adb627-f647-498e-b4cc-41499361bacb",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "99e6295e-741b-4857-b6e5-64989eb039b4",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "e4c347e9-fb91-4bc5-83b8-391e389131e2",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "198ce408-1470-45ee-b47f-7056050d4fc2",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "73c26732-6422-4081-8b63-6d0ae93d449e",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "a8c31121-852b-46bd-9ba4-674ae5afe7ad",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "e1c912a9-e305-434b-9172-8a6ce3ec9c4a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
}
|
||||
],
|
||||
"uuid": "1622fd3d-fcfc-4d02-ac49-f2d786f79b81",
|
||||
"value": "FlexiSpy - S0408"
|
||||
},
|
||||
{
|
||||
"description": "[Reg](https://attack.mitre.org/software/S0075) is a Windows utility used to interact with the Windows Registry. It can be used at the command-line interface to query, add, modify, and remove information. (Citation: Microsoft Reg)\n\nUtilities such as [Reg](https://attack.mitre.org/software/S0075) are known to be used by persistent threats. (Citation: Windows Commands JPCERT)",
|
||||
"meta": {
|
||||
|
|
@ -1993,6 +2197,49 @@
|
|||
"uuid": "cb69b20d-56d0-41ab-8440-4a4b251614d4",
|
||||
"value": "Pupy - S0192"
|
||||
},
|
||||
{
|
||||
"description": "MailSniper is a penetration testing tool for searching through email in a Microsoft Exchange environment for specific terms (passwords, insider intel, network architecture information, etc.). It can be used by a non-administrative user to search their own email, or by an Exchange administrator to search the mailboxes of every user in a domain.(Citation: GitHub MailSniper)",
|
||||
"meta": {
|
||||
"external_id": "S0413",
|
||||
"mitre_platforms": [
|
||||
"Office 365",
|
||||
"Windows",
|
||||
"Azure AD"
|
||||
],
|
||||
"refs": [
|
||||
"https://attack.mitre.org/software/S0413",
|
||||
"https://github.com/dafthack/MailSniper"
|
||||
],
|
||||
"synonyms": [
|
||||
"MailSniper"
|
||||
]
|
||||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "a93494bb-4b80-4ea1-8695-3236a49916fd",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "1608f3e1-598a-42f4-a01a-2e252e81728f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "72b74d71-8169-42aa-92e0-e7b04b9f5a08",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
}
|
||||
],
|
||||
"uuid": "999c4e6e-b8dc-4b4f-8d6e-1b829f29997e",
|
||||
"value": "MailSniper - S0413"
|
||||
},
|
||||
{
|
||||
"description": "[Expand](https://attack.mitre.org/software/S0361) is a Windows utility used to expand one or more compressed CAB files.(Citation: Microsoft Expand Utility) It has been used by [BBSRAT](https://attack.mitre.org/software/S0127) to decompress a CAB file into executable content.(Citation: Palo Alto Networks BBSRAT)",
|
||||
"meta": {
|
||||
|
|
@ -2599,6 +2846,13 @@
|
|||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "4579d9c9-d5b9-45e0-9848-0104637b579f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
}
|
||||
],
|
||||
"uuid": "da04ac30-27da-4959-a67d-450ce47d9470",
|
||||
|
|
@ -2776,7 +3030,7 @@
|
|||
],
|
||||
"refs": [
|
||||
"https://attack.mitre.org/software/S0378",
|
||||
"https://github.com/nettitude/PoshC2"
|
||||
"https://github.com/nettitude/PoshC2_Python"
|
||||
],
|
||||
"synonyms": [
|
||||
"PoshC2"
|
||||
|
|
@ -3500,6 +3754,13 @@
|
|||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "4579d9c9-d5b9-45e0-9848-0104637b579f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
}
|
||||
],
|
||||
"uuid": "3433a9e8-1c47-4320-b9bf-ed449061d1c3",
|
||||
|
|
@ -3578,6 +3839,13 @@
|
|||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "4579d9c9-d5b9-45e0-9848-0104637b579f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "uses"
|
||||
}
|
||||
],
|
||||
"uuid": "b76b2d94-60e4-4107-a903-4a3a7622fb3b",
|
||||
|
|
@ -3724,5 +3992,5 @@
|
|||
"value": "Nltest - S0359"
|
||||
}
|
||||
],
|
||||
"version": 15
|
||||
"version": 16
|
||||
}
|
||||
|
|
|
|||
|
|
@ -18,35 +18,29 @@ types = ['attack-pattern', 'course-of-action', 'intrusion-set', 'malware', 'tool
|
|||
all_data = {} # variable that will contain everything
|
||||
|
||||
# read in existing data
|
||||
# THIS IS FOR MIGRATION - reading the data from the enterprise-attack, mobile-attack, pre-attack
|
||||
# first build a data set of the MISP Galaxy ATT&CK elements by using the UUID as reference, this speeds up lookups later on.
|
||||
# at the end we will convert everything again to separate datasets
|
||||
all_data_uuid = {}
|
||||
for domain in domains:
|
||||
for t in types:
|
||||
fname = os.path.join(misp_dir, 'clusters', 'mitre-{}-{}.json'.format(domain, t))
|
||||
if os.path.exists(fname):
|
||||
# print("##### {}".format(fname))
|
||||
with open(fname) as f:
|
||||
file_data = json.load(f)
|
||||
# print(file_data)
|
||||
for value in file_data['values']:
|
||||
if value['uuid'] in all_data_uuid:
|
||||
# exit("ERROR: Something is really wrong, we seem to have duplicates.")
|
||||
# if it already exists we need to copy over all the data manually to merge it
|
||||
# on the other hand, from a manual analysis it looks like it's mostly the relations that are different
|
||||
# so now we will just copy over the relationships
|
||||
# actually, at time of writing the code below results in no change as the new items always contained more than the previously seen items
|
||||
value_orig = all_data_uuid[value['uuid']]
|
||||
if 'related' in value_orig:
|
||||
for related_item in value_orig['related']:
|
||||
if related_item not in value['related']:
|
||||
value['related'].append(related_item)
|
||||
all_data_uuid[value['uuid']] = value
|
||||
|
||||
# THIS IS FOR NORMAL OPERATIONS - reading from the very old and new models - one model per type
|
||||
# FIXME implement this (copy paste above or put above in function and call function)
|
||||
|
||||
for t in types:
|
||||
fname = os.path.join(misp_dir, 'clusters', 'mitre-{}.json'.format(t))
|
||||
if os.path.exists(fname):
|
||||
# print("##### {}".format(fname))
|
||||
with open(fname) as f:
|
||||
file_data = json.load(f)
|
||||
# print(file_data)
|
||||
for value in file_data['values']:
|
||||
if value['uuid'] in all_data_uuid:
|
||||
# exit("ERROR: Something is really wrong, we seem to have duplicates.")
|
||||
# if it already exists we need to copy over all the data manually to merge it
|
||||
# on the other hand, from a manual analysis it looks like it's mostly the relations that are different
|
||||
# so now we will just copy over the relationships
|
||||
# actually, at time of writing the code below results in no change as the new items always contained more than the previously seen items
|
||||
value_orig = all_data_uuid[value['uuid']]
|
||||
if 'related' in value_orig:
|
||||
for related_item in value_orig['related']:
|
||||
if related_item not in value['related']:
|
||||
value['related'].append(related_item)
|
||||
all_data_uuid[value['uuid']] = value
|
||||
|
||||
# now load the MITRE ATT&CK
|
||||
for domain in domains:
|
||||
|
|
@ -136,6 +130,7 @@ for domain in domains:
|
|||
|
||||
# LATER find the opposite word of "rel_type" and build the relation in the opposite direction
|
||||
|
||||
|
||||
# dump all_data to their respective file
|
||||
for t in types:
|
||||
fname = os.path.join(misp_dir, 'clusters', 'mitre-{}.json'.format(t))
|
||||
|
|
@ -147,7 +142,7 @@ for t in types:
|
|||
file_data['values'] = []
|
||||
for item in all_data_uuid.values():
|
||||
# print(json.dumps(item, sort_keys=True, indent=2))
|
||||
if item['type'] != t:
|
||||
if 'type' not in item or item['type'] != t: # drop old data or not from the right type
|
||||
continue
|
||||
item_2 = item.copy()
|
||||
item_2.pop('type', None)
|
||||
|
|
|
|||
Loading…
Reference in a new issue