| ID | Technique | Tactic |
|---|---|---|
| T1649 | Steal or Forge Authentication Certificates | Credential Access |
| T1550 | Use Alternate Authentication Material | Defense Evasion |
Detection: Windows Steal Authentication Certificates - ESC1 Authentication
Description
The following analytic detects when a suspicious certificate with a Subject Alternative Name (SAN) is issued using Active Directory Certificate Services (AD CS) and then immediately used for authentication. This detection leverages Windows Security Event Logs, specifically EventCode 4887, to identify the issuance and subsequent use of the certificate. This activity is significant because improperly configured certificate templates can be exploited for privilege escalation and environment compromise. If confirmed malicious, an attacker could gain unauthorized access, escalate privileges, and potentially compromise the entire environment.
Search
1`wineventlog_security`
2EventCode IN (4887)
3Attributes="*SAN:*upn*"
4Attributes="*CertificateTemplate:*"
5
6| stats
7 count
8 min(_time) as firstTime
9 max(_time) as lastTime
10 values(name) as name
11 values(status) as status
12 values(Subject) as ssl_subject
13 values(SubjectKeyIdentifier) as ssl_hash
14 by Computer, EventCode, Requester, Attributes, RequestId
15
16| rex field=Attributes "(?i)CertificateTemplate:(?<object>[^\r\n]+)"
17
18| rex field=Attributes "(?i)ccm:(?<req_src>[^\r\n]+)"
19
20| rex max_match=10 field=Attributes "(?i)(upn=(?<req_user_1>[^\r\n&]+))"
21
22| rex max_match=10 field=Attributes "(?i)(dns=(?<req_dest_1>[^\r\n&]+))"
23
24| rex field=Requester "(.+\\\\)?(?<src_user>[^\r\n]+)"
25
26| rename
27 Attributes as object_attrs
28 EventCode as signature_id
29 name as signature
30 RequestId as ssl_serial
31 Requester as ssl_subject_common_name
32
33| eval user = lower(coalesce(req_user_1, req_user_2))
34
35| join user [
36 search `wineventlog_security`
37 EventCode=4768
38 CertThumbprint=*
39
40| rename
41 TargetUserName as user
42 Computer as auth_dest
43 IpAddress as auth_src
44
45| fields auth_src, auth_dest, user
46]
47
48| eval
49 src = upper(coalesce(auth_src, req_src)),
50 dest = upper(coalesce(auth_dest, req_dest_1, req_dest_2)),
51 risk_score = 50
52
53| eval flavor_text = case(
54 signature_id=="4887",
55 "User account [" . user . "] authenticated after a suspicious certificate was issued for it by [" . src_user . "] using certificate request ID: " . ssl_serial
56)
57
58| fields - req_* auth_*
59
60| `security_content_ctime(firstTime)`
61
62| `security_content_ctime(lastTime)`
63
64| `windows_steal_authentication_certificates___esc1_authentication_filter`
Data Source
| Name | Platform | Sourcetype | Source |
|---|---|---|---|
| Windows Event Log Security 4768 | 'XmlWinEventLog' |
'XmlWinEventLog:Security' |
|
| Windows Event Log Security 4887 | 'XmlWinEventLog' |
'XmlWinEventLog:Security' |
Macros Used
| Name | Value |
|---|---|
| security_content_ctime | convert timeformat="%Y-%m-%dT%H:%M:%S" ctime($field$) |
| windows_steal_authentication_certificates___esc1_authentication_filter | search * |
windows_steal_authentication_certificates___esc1_authentication_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Annotations
Default Configuration
This detection is configured by default in Splunk Enterprise Security to run with the following settings:
| Setting | Value |
|---|---|
| Disabled | true |
| Cron Schedule | 0 * * * * |
| Earliest Time | -70m@m |
| Latest Time | -10m@m |
| Schedule Window | auto |
| Creates Notable | Yes |
| Rule Title | %name% |
| Rule Description | %description% |
| Notable Event Fields | user, dest |
| Creates Risk Event | True |
Implementation
To implement this analytic, enhanced Audit Logging must be enabled on AD CS and within Group Policy Management for CS server. See Page 115 of first reference. Recommend throttle correlation by RequestId/ssl_serial at minimum.
Known False Positives
False positives may be generated in environments where administrative users or processes are allowed to generate certificates with Subject Alternative Names for authentication. Sources or templates used in these processes may need to be tuned out for accurate function.
Associated Analytic Story
Risk Based Analytics (RBA)
Risk Message:
Possible AD CS ESC1 authentication on $dest$
| Risk Object | Risk Object Type | Risk Score | Threat Objects |
|---|---|---|---|
| dest | system | 50 | ssl_hash, ssl_serial |
| src | system | 50 | ssl_hash, ssl_serial |
| user | user | 50 | ssl_hash, ssl_serial |
| src_user | user | 50 | ssl_hash, ssl_serial |
References
-
https://specterops.io/wp-content/uploads/sites/3/2022/06/Certified_Pre-Owned.pdf
-
https://pentestlaboratories.com/2021/11/08/threat-hunting-certificate-account-persistence/
Detection Testing
| Test Type | Status | Dataset | Source | Sourcetype |
|---|---|---|---|---|
| Validation | ✅ Passing | N/A | N/A | N/A |
| Unit | ✅ Passing | Dataset | XmlWinEventLog:Security |
XmlWinEventLog |
| Integration | ✅ Passing | Dataset | XmlWinEventLog:Security |
XmlWinEventLog |
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: GitHub | Version: 8