O365 Email Reported By Admin Found Malicious
Description
The following analytic detects when an email manually submitted to Microsoft through the Security & Compliance portal is found to be malicious. This capability is an enhanced protection feature that can be used within o365 tenants by administrative users to report potentially malicious emails. This correlation looks for any submission that returns a Phish or Malware verdict upon submission.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2024-04-01
- Author: Steven Dick
- ID: 94396c3e-7728-422a-9956-e4b77b53dbdf
Annotations
ATT&CK
Kill Chain Phase
- Delivery
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
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`o365_management_activity` Workload=SecurityComplianceCenter Operation=AdminSubmission
| search RescanVerdict IN (Phish,Malware)
| stats values(Subject) as subject, values(RescanVerdict) as result, values(SenderIP) as src, values(P2Sender) as sender, values(P1Sender) as src_user, values(Recipients{}) as user, count min(_time) as firstTime, max(_time) as lastTime, by Id,Operation,UserId
| rename Name as signature, Id as signature_id, UserId as o365_adminuser
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `o365_email_reported_by_admin_found_malicious_filter`
Macros
The SPL above uses the following Macros:
o365_email_reported_by_admin_found_malicious_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Required fields
List of fields required to use this analytic.
- _time
- Id
- Operation
- UserId
How To Implement
You must install splunk Microsoft Office 365 add-on. This search works with o365:management:activity
Known False Positives
Administrators that submit known phishing training exercises.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
50.0 | 50 | 100 | O365 security admin $o365_adminuser$ manually reported a suspicious email from $src_user$ |
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
Reference
Test Dataset
Replay any dataset to Splunk Enterprise by using our replay.py
tool or the UI.
Alternatively you can replay a dataset into a Splunk Attack Range
source | version: 1