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Advanced Hunting API | Use this API to run advanced queries | apis, supported apis, advanced hunting, query | eADQiWindows 10XVcnh | w10 | deploy | library | security | macapara | mjcaparas | medium | dansimp | ITPro | M365-security-compliance | article |
Advanced Hunting using Python
Applies to:
Run advanced queries using Python, see Advanced Hunting API.
In this section we share Python samples to retrieve a token and use it to run a query.
Prerequisite: You first need to create an app.
Get token
- Run the following:
import json
import urllib.request
import urllib.parse
tenantId = '00000000-0000-0000-0000-000000000000' # Paste your own tenant ID here
appId = '11111111-1111-1111-1111-111111111111' # Paste your own app ID here
appSecret = '22222222-2222-2222-2222-222222222222' # Paste your own app secret here
url = "https://login.windows.net/%s/oauth2/token" % (tenantId)
resourceAppIdUri = 'https://api.securitycenter.windows.com'
body = {
'resource' : resourceAppIdUri,
'client_id' : appId,
'client_secret' : appSecret,
'grant_type' : 'client_credentials'
}
data = urllib.parse.urlencode(body).encode("utf-8")
req = urllib.request.Request(url, data)
response = urllib.request.urlopen(req)
jsonResponse = json.loads(response.read())
aadToken = jsonResponse["access_token"]
where
- tenantId: ID of the tenant on behalf of which you want to run the query (i.e., the query will be run on the data of this tenant)
- appId: ID of your AAD app (the app must have 'Run advanced queries' permission to Microsoft Defender ATP)
- appSecret: Secret of your AAD app
Run query
Run the following query:
query = 'RegistryEvents | limit 10' # Paste your own query here
url = "https://api.securitycenter.windows.com/api/advancedqueries/run"
headers = {
'Content-Type' : 'application/json',
'Accept' : 'application/json',
'Authorization' : "Bearer " + aadToken
}
data = json.dumps({ 'Query' : query }).encode("utf-8")
req = urllib.request.Request(url, data, headers)
response = urllib.request.urlopen(req)
jsonResponse = json.loads(response.read())
schema = jsonResponse["Schema"]
results = jsonResponse["Results"]
- schema contains the schema of the results of your query
- results contains the results of your query
Complex queries
If you want to run complex queries (or multilines queries), save your query in a file and, instead of the first line in the above sample, run the below command:
queryFile = open("D:\\Temp\\myQuery.txt", 'r') # Replace with the path to your file
query = queryFile.read()
queryFile.close()
Work with query results
You can now use the query results.
To iterate over the results do the below:
for result in results:
print(result) # Prints the whole result
print(result["EventTime"]) # Prints only the property 'EventTime' from the result
To output the results of the query in CSV format in file file1.csv do the below:
import csv
outputFile = open("D:\\Temp\\file1.csv", 'w')
output = csv.writer(outputFile)
output.writerow(results[0].keys())
for result in results:
output.writerow(result.values())
outputFile.close()
To output the results of the query in JSON format in file file1.json do the below:
outputFile = open("D:\\Temp\\file1.json", 'w')
json.dump(results, outputFile)
outputFile.close()