mirror of
https://github.com/MISP/misp-galaxy.git
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Merge pull request #973 from cvandeplas/main
chg: [atlas] update to latest version #newUUIDsForAll
This commit is contained in:
Christophe Vandeplas
GitHub
commit
fd8b906055
5 changed files with 331 additions and 273 deletions
9
.vscode/launch.json
vendored
9
.vscode/launch.json
vendored
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@ -19,6 +19,15 @@
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"args": "-p ../../DW-VA-Taxonomy",
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"cwd": "${fileDirname}"
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},
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{
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"name": "gen_mitre_atlas",
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"type": "debugpy",
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"request": "launch",
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"program": "${file}",
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"console": "integratedTerminal",
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"args": "-p ../../atlas-navigator-data",
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"cwd": "${fileDirname}"
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},
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{
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"name": "Python Debugger: Current File",
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"type": "debugpy",
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File diff suppressed because it is too large
Load diff
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@ -19,21 +19,35 @@
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},
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"related": [
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{
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"dest-uuid": "229ead06-da1e-443c-8ff1-e57a3ae0eb61",
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"dest-uuid": "65d21e6b-7abe-4623-8f5c-88011cb362cb",
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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": "d93b2175-90a8-4250-821f-dcc3bbbe194c",
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"dest-uuid": "8c26f51a-c403-4c4d-852a-a1c56fe9e7cd",
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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": "aa17fe8d-62f8-4c4c-b7a2-6858c82dd84b",
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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": "b23cda85-3457-406d-b043-24d2cf9e6fcf",
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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": "0b016f6f-2f61-493c-bf9d-02cad4c027df",
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"uuid": "40076545-e797-4508-a294-943096a12111",
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"value": "Limit Release of Public Information"
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},
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{
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@ -46,28 +60,28 @@
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},
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"related": [
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{
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"dest-uuid": "292ebe33-addc-4fe7-b2a9-4856293c4c96",
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"dest-uuid": "0ec538ca-589b-4e42-bcaa-06097a0d679f",
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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": "6945b742-f1d5-4a83-ba4a-d0e0de6620c3",
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"dest-uuid": "a3baff3d-7228-4ab7-ae00-ffe150e7ef8a",
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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": "6a7f4fc2-272b-4f86-b137-70fa3e239f58",
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"dest-uuid": "c086784e-1494-4f75-a4a0-d3ad054b9428",
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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": "c0f65fa8-8e05-4481-b934-ff2c452ae8c3",
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"uuid": "79c75215-ada9-4c22-bfed-7d13fb6e966e",
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"value": "Limit Model Artifact Release"
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},
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{
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@ -80,49 +94,49 @@
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},
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"related": [
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{
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"dest-uuid": "569d6edd-0140-4ab2-97b1-3635d62f40cc",
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"dest-uuid": "86b5f486-afb8-4aa9-991f-0e24d5737f0c",
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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": "65c5e3b8-9296-46a2-ae7d-1b68a79cbe54",
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"dest-uuid": "943303ef-846b-49d6-b53f-b0b9341ac1ca",
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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": "79cdc11c-2ca9-4a6a-96a0-18bd84943086",
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"dest-uuid": "c4e52005-7416-45c4-9feb-8cd5fd34f70a",
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||||
"tags": [
|
||||
"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": "83c5ba15-5312-4c7d-bbb4-f9c4f2c6ffca",
|
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"dest-uuid": "c552f0b5-2e2c-4f8f-badc-0876ecca7255",
|
||||
"tags": [
|
||||
"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": "8a115a02-2b88-4a3e-9212-a39dc086320b",
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"dest-uuid": "e19c6f8a-f1e2-46cc-9387-03a3092f01ed",
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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": "b5d1fd4f-861f-43e0-b1ca-ee8a3b47f7e1",
|
||||
"dest-uuid": "f78e0ac3-6d72-42ed-b20a-e10d8c752cf6",
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"tags": [
|
||||
"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": "6b53cb14-eade-4760-8dae-75164e62cb7e",
|
||||
"uuid": "9f92e876-e2c0-4def-afee-626a4a79c524",
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||||
"value": "Passive ML Output Obfuscation"
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},
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{
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@ -135,21 +149,21 @@
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},
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"related": [
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{
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"dest-uuid": "8bcf7648-2683-421d-b623-bc539de59cb3",
|
||||
"dest-uuid": "071df654-813a-4708-85dc-f715f785d37f",
|
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"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
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||||
"type": "mitigates"
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||||
},
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{
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"dest-uuid": "bb747632-d988-45ff-9cb3-97d827b4d9db",
|
||||
"dest-uuid": "8735735d-c09d-4298-8e64-9a2b6168a74c",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
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||||
}
|
||||
],
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"uuid": "04e9bb75-1b7e-4825-bc3f-774850d3c1ef",
|
||||
"uuid": "216f862c-7f34-4676-a913-c4ec6cc4c2cd",
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"value": "Model Hardening"
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},
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{
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@ -162,77 +176,77 @@
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},
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"related": [
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{
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"dest-uuid": "1cc7f877-cb60-419a-bd1e-32b704b534d0",
|
||||
"dest-uuid": "6c1fca80-3ba9-41c9-8f7b-9824310a94f1",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
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||||
],
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||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "3247b43f-1888-4158-b3da-5b7c7dfaa4e2",
|
||||
"dest-uuid": "86b5f486-afb8-4aa9-991f-0e24d5737f0c",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
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||||
"type": "mitigates"
|
||||
},
|
||||
{
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||||
"dest-uuid": "3b829988-8bdb-4c4e-a4dd-500a3d3fd3e4",
|
||||
"dest-uuid": "8f644f37-e2e6-468e-b720-f395b8c27fbc",
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"tags": [
|
||||
"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": "569d6edd-0140-4ab2-97b1-3635d62f40cc",
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"dest-uuid": "943303ef-846b-49d6-b53f-b0b9341ac1ca",
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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": "65c5e3b8-9296-46a2-ae7d-1b68a79cbe54",
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"dest-uuid": "ae71ca3a-8ca4-40d2-bdba-4276b29ac8f9",
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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": "79cdc11c-2ca9-4a6a-96a0-18bd84943086",
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"dest-uuid": "b07d147f-51c8-4eb6-9a05-09c86762a9c1",
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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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{
|
||||
"dest-uuid": "83c5ba15-5312-4c7d-bbb4-f9c4f2c6ffca",
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"dest-uuid": "c4e52005-7416-45c4-9feb-8cd5fd34f70a",
|
||||
"tags": [
|
||||
"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": "8a115a02-2b88-4a3e-9212-a39dc086320b",
|
||||
"dest-uuid": "c552f0b5-2e2c-4f8f-badc-0876ecca7255",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
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],
|
||||
"type": "mitigates"
|
||||
},
|
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{
|
||||
"dest-uuid": "b5d1fd4f-861f-43e0-b1ca-ee8a3b47f7e1",
|
||||
"dest-uuid": "e19c6f8a-f1e2-46cc-9387-03a3092f01ed",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "ba5645e5-d1ab-4f1f-8b82-cb0792543fa8",
|
||||
"dest-uuid": "f78e0ac3-6d72-42ed-b20a-e10d8c752cf6",
|
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"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
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}
|
||||
],
|
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"uuid": "4a048bfe-dab5-434b-86cc-f4586951ec0d",
|
||||
"uuid": "46b3e92d-600b-47c9-80f5-ed62a5db0377",
|
||||
"value": "Restrict Number of ML Model Queries"
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},
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{
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@ -245,56 +259,56 @@
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},
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"related": [
|
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{
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"dest-uuid": "0d002b6b-d006-4aab-a7f9-fa69f4a1e675",
|
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"dest-uuid": "0ec538ca-589b-4e42-bcaa-06097a0d679f",
|
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"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
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{
|
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"dest-uuid": "2792e1f0-3132-4876-878d-a900b8a40e7d",
|
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"dest-uuid": "2680aa95-5620-4677-9c62-b0c3d15d9450",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
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{
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"dest-uuid": "481486ed-846c-43ce-931b-86b8a18556b0",
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"dest-uuid": "452b8fdf-8679-4013-bb38-4d16f65430bc",
|
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"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
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{
|
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"dest-uuid": "666f4d33-1a62-4ad7-9bf9-6387cd3f1fd7",
|
||||
"dest-uuid": "8d644240-ad99-4410-a7f8-3ef8f53a463e",
|
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"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "68034561-a079-4052-9b64-427bfcff76ff",
|
||||
"dest-uuid": "a50f02df-1130-4945-94bb-7857952da585",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "6945b742-f1d5-4a83-ba4a-d0e0de6620c3",
|
||||
"dest-uuid": "d1f013a8-11f3-4560-831c-8ed5e39247c9",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "822cb1e2-f35f-4b35-a650-59b7770d4abc",
|
||||
"dest-uuid": "e0eb2b64-aebd-4412-80f3-b71d7805a65f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
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"uuid": "da785068-ece5-4c52-b77d-39e1b24cb6d7",
|
||||
"uuid": "0025dadf-7900-497f-aa03-39f0e319f20e",
|
||||
"value": "Control Access to ML Models and Data at Rest"
|
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},
|
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{
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@ -307,42 +321,42 @@
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},
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||||
"related": [
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{
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|
||||
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|
||||
"tags": [
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"tags": [
|
||||
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|
||||
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|
||||
"type": "mitigates"
|
||||
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|
||||
{
|
||||
"dest-uuid": "8a115a02-2b88-4a3e-9212-a39dc086320b",
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||||
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|
||||
"tags": [
|
||||
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|
||||
],
|
||||
"type": "mitigates"
|
||||
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|
||||
{
|
||||
"dest-uuid": "8bcf7648-2683-421d-b623-bc539de59cb3",
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||||
"dest-uuid": "c552f0b5-2e2c-4f8f-badc-0876ecca7255",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "bb747632-d988-45ff-9cb3-97d827b4d9db",
|
||||
"dest-uuid": "d8292a1c-21e7-4b45-b110-0e05feb30a9a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "de7a696b-f688-454c-bf61-476a68b50e9f",
|
||||
"uuid": "dcb586a2-1135-4e2a-97bd-d4adbc79758b",
|
||||
"value": "Use Ensemble Methods"
|
||||
},
|
||||
{
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@ -355,32 +369,32 @@
|
|||
},
|
||||
"related": [
|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "822cb1e2-f35f-4b35-a650-59b7770d4abc",
|
||||
"dest-uuid": "e0eb2b64-aebd-4412-80f3-b71d7805a65f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "7e20b527-6299-4ee3-863e-59fee7cdaa9a",
|
||||
"uuid": "9395d240-cc32-452a-911b-04feea01bcfb",
|
||||
"value": "Sanitize Training Data"
|
||||
},
|
||||
{
|
||||
"description": "Validate that machine learning models perform as intended by testing for backdoor triggers or adversarial bias.\n",
|
||||
"description": "Validate that machine learning models perform as intended by testing for backdoor triggers or adversarial bias.\nMonitor model for concept drift and training data drift, which may indicate data tampering and poisoning.\n",
|
||||
"meta": {
|
||||
"external_id": "AML.M0008",
|
||||
"refs": [
|
||||
|
|
@ -389,28 +403,28 @@
|
|||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "2792e1f0-3132-4876-878d-a900b8a40e7d",
|
||||
"dest-uuid": "452b8fdf-8679-4013-bb38-4d16f65430bc",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "68034561-a079-4052-9b64-427bfcff76ff",
|
||||
"dest-uuid": "a50f02df-1130-4945-94bb-7857952da585",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "822cb1e2-f35f-4b35-a650-59b7770d4abc",
|
||||
"dest-uuid": "e0eb2b64-aebd-4412-80f3-b71d7805a65f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "32bd077a-90ce-4e97-ad40-8f130a1a7dab",
|
||||
"uuid": "01c2ec0a-e257-4a75-9e59-f71aa6362b6e",
|
||||
"value": "Validate ML Model"
|
||||
},
|
||||
{
|
||||
|
|
@ -423,21 +437,21 @@
|
|||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "bb747632-d988-45ff-9cb3-97d827b4d9db",
|
||||
"dest-uuid": "071df654-813a-4708-85dc-f715f785d37f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "e0958449-a880-4410-bbb1-fa102030a883",
|
||||
"dest-uuid": "4d5c6974-0307-4535-bf37-7bb4c6a2ef47",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "532918ce-83cf-4f6f-86fa-8ad4024e91ab",
|
||||
"uuid": "1bb9d9a7-c05a-470f-a709-64bd240e2eb0",
|
||||
"value": "Use Multi-Modal Sensors"
|
||||
},
|
||||
{
|
||||
|
|
@ -450,28 +464,28 @@
|
|||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "79cdc11c-2ca9-4a6a-96a0-18bd84943086",
|
||||
"dest-uuid": "071df654-813a-4708-85dc-f715f785d37f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "8bcf7648-2683-421d-b623-bc539de59cb3",
|
||||
"dest-uuid": "8735735d-c09d-4298-8e64-9a2b6168a74c",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "bb747632-d988-45ff-9cb3-97d827b4d9db",
|
||||
"dest-uuid": "c4e52005-7416-45c4-9feb-8cd5fd34f70a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "88aea80f-498f-403d-b82f-e76c44f9da94",
|
||||
"uuid": "73a34f24-1ad1-4421-b9c8-c2cbd13e6f47",
|
||||
"value": "Input Restoration"
|
||||
},
|
||||
{
|
||||
|
|
@ -484,14 +498,14 @@
|
|||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "d52b913b-808c-461d-8969-94cd5c9fe07b",
|
||||
"dest-uuid": "be6ef5c5-1ecb-486d-9743-42085bd2c256",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "6cd8c9ca-bd46-489f-9ccb-5b76b8ef580e",
|
||||
"uuid": "179e00cb-0948-4282-9132-f8a1f0ff6bd7",
|
||||
"value": "Restrict Library Loading"
|
||||
},
|
||||
{
|
||||
|
|
@ -504,28 +518,28 @@
|
|||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "0d002b6b-d006-4aab-a7f9-fa69f4a1e675",
|
||||
"dest-uuid": "6a88dccb-fb37-4f11-a5ad-42908aaee1d0",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "529fac49-5f88-4a3c-829f-eb50cb90bcf1",
|
||||
"dest-uuid": "d1f013a8-11f3-4560-831c-8ed5e39247c9",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "b67fc223-fecf-4ee6-9de7-9392d9f04060",
|
||||
"dest-uuid": "e2ebc190-9ff6-496e-afeb-ac868df2361e",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "8bba19a7-fc6f-4381-8b34-2d43cdc14627",
|
||||
"uuid": "aad92d43-774b-4612-8437-8d6c7ee7e4af",
|
||||
"value": "Encrypt Sensitive Information"
|
||||
},
|
||||
{
|
||||
|
|
@ -538,28 +552,28 @@
|
|||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "2792e1f0-3132-4876-878d-a900b8a40e7d",
|
||||
"dest-uuid": "452b8fdf-8679-4013-bb38-4d16f65430bc",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "4627c4e6-fb06-4bfa-add5-dc46e0043aff",
|
||||
"dest-uuid": "be6ef5c5-1ecb-486d-9743-42085bd2c256",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "d52b913b-808c-461d-8969-94cd5c9fe07b",
|
||||
"dest-uuid": "d8292a1c-21e7-4b45-b110-0e05feb30a9a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "c55ed072-eca7-41d6-b5e0-68c10753544d",
|
||||
"uuid": "88073b07-2fe9-41cb-8e76-6e244fbabc74",
|
||||
"value": "Code Signing"
|
||||
},
|
||||
{
|
||||
|
|
@ -572,28 +586,28 @@
|
|||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "0799f2f2-1038-4391-ba1f-4117595db45a",
|
||||
"dest-uuid": "be6ef5c5-1ecb-486d-9743-42085bd2c256",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "b6697dbf-3e3f-41ce-a212-361d1c0ca0e9",
|
||||
"dest-uuid": "d2cf31e0-a550-4fe0-8fdb-8941b3ac00d9",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "d52b913b-808c-461d-8969-94cd5c9fe07b",
|
||||
"dest-uuid": "f4fc2abd-71a4-401a-a742-18fc5aeb4bc3",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "a861f658-4203-48ba-bdca-fe068518eefb",
|
||||
"uuid": "cdccb3ab-2dde-41a9-a988-783a25b7bd00",
|
||||
"value": "Verify ML Artifacts"
|
||||
},
|
||||
{
|
||||
|
|
@ -606,39 +620,39 @@
|
|||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "1cc7f877-cb60-419a-bd1e-32b704b534d0",
|
||||
"dest-uuid": "071df654-813a-4708-85dc-f715f785d37f",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "79cdc11c-2ca9-4a6a-96a0-18bd84943086",
|
||||
"dest-uuid": "8735735d-c09d-4298-8e64-9a2b6168a74c",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "8bcf7648-2683-421d-b623-bc539de59cb3",
|
||||
"dest-uuid": "8f644f37-e2e6-468e-b720-f395b8c27fbc",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "bb747632-d988-45ff-9cb3-97d827b4d9db",
|
||||
"dest-uuid": "c4e52005-7416-45c4-9feb-8cd5fd34f70a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "825f21ab-f3c9-46ce-b539-28f295f519f8",
|
||||
"uuid": "0ed2ef71-cdc9-4eef-8432-1c3dadbdda20",
|
||||
"value": "Adversarial Input Detection"
|
||||
},
|
||||
{
|
||||
"description": "Vulnerability scanning is used to find potentially exploitable software vulnerabilities to remediate them.\n\nFile formats such as pickle files that are commonly used to store machine learning models can contain exploits that allow for arbitrary code execution.\n",
|
||||
"description": "Vulnerability scanning is used to find potentially exploitable software vulnerabilities to remediate them.\n\nFile formats such as pickle files that are commonly used to store machine learning models can contain exploits that allow for arbitrary code execution.\nBoth model artifacts and downstream products produced by models should be scanned for known vulnerabilities.\n",
|
||||
"meta": {
|
||||
"external_id": "AML.M0016",
|
||||
"refs": [
|
||||
|
|
@ -647,18 +661,25 @@
|
|||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "d52b913b-808c-461d-8969-94cd5c9fe07b",
|
||||
"dest-uuid": "be6ef5c5-1ecb-486d-9743-42085bd2c256",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "c704a49c-abf0-4258-9919-a862b1865469",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "e2cb599d-2714-4673-bc1a-976c471d7c58",
|
||||
"uuid": "79752061-aac1-4ed9-b7f3-3b4dc5e81280",
|
||||
"value": "Vulnerability Scanning"
|
||||
},
|
||||
{
|
||||
"description": "Deploying ML models to edge devices can increase the attack surface of the system. Consider serving models in the cloud to reduce the level of access the adversary has to the model.\n",
|
||||
"description": "Deploying ML models to edge devices can increase the attack surface of the system.\nConsider serving models in the cloud to reduce the level of access the adversary has to the model.\nAlso consider computing features in the cloud to prevent gray-box attacks, where an adversary has access to the model preprocessing methods.\n",
|
||||
"meta": {
|
||||
"external_id": "AML.M0017",
|
||||
"refs": [
|
||||
|
|
@ -667,28 +688,28 @@
|
|||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "2792e1f0-3132-4876-878d-a900b8a40e7d",
|
||||
"dest-uuid": "3de90963-bc9f-4ae1-b780-7d05e46eacdd",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "51c95da5-d7f1-4b57-9229-869b80305b37",
|
||||
"dest-uuid": "452b8fdf-8679-4013-bb38-4d16f65430bc",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "afcd723a-e5ff-4c09-8f72-fe16f7345af7",
|
||||
"dest-uuid": "ab01ba21-1438-4cd9-a588-92eb271086bc",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "79316871-3bf9-4a59-b517-b0156e84fcb4",
|
||||
"uuid": "432c3a44-3974-4b73-9eb9-fa5dd5298e47",
|
||||
"value": "Model Distribution Methods"
|
||||
},
|
||||
{
|
||||
|
|
@ -701,23 +722,50 @@
|
|||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "5e8e4108-beb6-479a-a617-323d425e5d03",
|
||||
"dest-uuid": "8c849dd4-5d15-45aa-b5b2-59c96a3ab939",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "d52b913b-808c-461d-8969-94cd5c9fe07b",
|
||||
"dest-uuid": "be6ef5c5-1ecb-486d-9743-42085bd2c256",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "8c2cb25a-46b0-4551-beeb-21e8425a48bd",
|
||||
"uuid": "cce983e7-13a2-4545-8c39-ec6c8dff148d",
|
||||
"value": "User Training"
|
||||
},
|
||||
{
|
||||
"description": "Require users to verify their identities before accessing a production model.\nRequire authentication for API endpoints and monitor production model queries to ensure compliance with usage policies and to prevent model misuse.\n",
|
||||
"meta": {
|
||||
"external_id": "AML.M0019",
|
||||
"refs": [
|
||||
"https://atlas.mitre.org/mitigations/AML.M0019"
|
||||
]
|
||||
},
|
||||
"related": [
|
||||
{
|
||||
"dest-uuid": "90a420d4-3f03-4800-86c0-223c4376804a",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
},
|
||||
{
|
||||
"dest-uuid": "b07d147f-51c8-4eb6-9a05-09c86762a9c1",
|
||||
"tags": [
|
||||
"estimative-language:likelihood-probability=\"almost-certain\""
|
||||
],
|
||||
"type": "mitigates"
|
||||
}
|
||||
],
|
||||
"uuid": "7b00dd51-f719-433d-afd6-3d386f64386d",
|
||||
"value": "Control Access to ML Models and Data in Production"
|
||||
}
|
||||
],
|
||||
"version": 10
|
||||
"version": 12
|
||||
}
|
||||
|
|
|
|||
|
|
@ -146,12 +146,6 @@ for domain in domains:
|
|||
if item['type'] not in types.values():
|
||||
continue
|
||||
|
||||
# skip deprecated and/or revoked
|
||||
# if 'revoked' in item and item['revoked']:
|
||||
# continue
|
||||
# if 'x_mitre_deprecated' in item and item['x_mitre_deprecated']:
|
||||
# continue
|
||||
|
||||
# print(json.dumps(item, indent=2, sort_keys=True, ensure_ascii=False))
|
||||
try:
|
||||
# build the new data structure
|
||||
|
|
@ -178,6 +172,12 @@ for domain in domains:
|
|||
if 'x_mitre_aliases' in item:
|
||||
value['meta']['synonyms'] = item['x_mitre_aliases']
|
||||
|
||||
# handle deprecated and/or revoked
|
||||
# if 'x_mitre_deprecated' in item and item['x_mitre_deprecated']:
|
||||
# value['deprecated'] = True
|
||||
# if 'revoked' in item and item['revoked']:
|
||||
# value['revoked'] = True
|
||||
|
||||
if 'external_references' in item:
|
||||
for reference in item['external_references']:
|
||||
if 'url' in reference and reference['url'] not in value['meta']['refs']:
|
||||
|
|
@ -205,9 +205,9 @@ for domain in domains:
|
|||
value['meta']['mitre_data_sources'] = item['x_mitre_data_sources']
|
||||
if 'x_mitre_platforms' in item:
|
||||
value['meta']['mitre_platforms'] = item['x_mitre_platforms']
|
||||
# TODO add the other x_mitre elements dynamically
|
||||
# TODO add the other x_mitre elements dynamically, but now it seems to break the tests
|
||||
# x_mitre_fields = [key for key in item.keys() if key.startswith('x_mitre')]
|
||||
# skip_x_mitre_fields = ['x_mitre_aliases', 'x_mitre_version', 'x_mitre_old_attack_id', 'mitre_attack_spec_version']
|
||||
# skip_x_mitre_fields = ['x_mitre_deprecated', 'x_mitre_aliases', 'x_mitre_version', 'x_mitre_old_attack_id', 'x_mitre_attack_spec_version']
|
||||
# for skip_field in skip_x_mitre_fields:
|
||||
# try:
|
||||
# x_mitre_fields.remove(skip_field)
|
||||
|
|
@ -220,7 +220,6 @@ for domain in domains:
|
|||
value['type'] = item['type'] # remove this before dump to json
|
||||
# print(json.dumps(value, sort_keys=True, indent=2))
|
||||
|
||||
# FIXME if 'x_mitre_deprecated' , 'revoked'
|
||||
all_data_uuid[uuid] = value
|
||||
|
||||
except Exception:
|
||||
|
|
|
|||
|
|
@ -107,9 +107,11 @@ for item in attack_data['objects']:
|
|||
if 'external_id' in reference and reference.get("source_name", None) in mitre_sources:
|
||||
value['meta']['external_id'] = reference['external_id']
|
||||
if not value['meta'].get('external_id', None):
|
||||
exit("Entry is missing an external ID, please update mitre_sources. Available references: {}".format(
|
||||
json.dumps(item['external_references'])
|
||||
))
|
||||
# dataset also contains MITRE ATT&CK, whenever we don't find external ID from the allowed sources it's a sign that the entry is not of the type of interest
|
||||
continue
|
||||
# exit("Entry is missing an external ID, please update mitre_sources. Available references: {}".format(
|
||||
# json.dumps(item['external_references'])
|
||||
# ))
|
||||
|
||||
if 'kill_chain_phases' in item: # many (but not all) attack-patterns have this
|
||||
value['meta']['kill_chain'] = []
|
||||
|
|
@ -127,7 +129,7 @@ for item in attack_data['objects']:
|
|||
|
||||
all_data_uuid[uuid] = value
|
||||
|
||||
except Exception as e:
|
||||
except Exception:
|
||||
print(json.dumps(item, sort_keys=True, indent=2))
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
|
|
|||
Loading…
Reference in a new issue