| ID | Technique | Tactic |
|---|---|---|
| T1190 | Exploit Public-Facing Application | Initial Access |
Detection: Cisco IOS XE Implant Access
Description
The following analytic identifies the potential exploitation of the Cisco IOS XE vulnerability, CVE-2023-20198, in the Web User Interface. It monitors POST requests to the "/webui/logoutconfirm.html?logon_hash=*" endpoint using the Web datamodel. This activity can be significant as it indicates potential access request to the implant If confirmed malicious, attackers could maintain privileged access, compromising the device's integrity and security.
Search
1
2| tstats `security_content_summariesonly`
3 count min(_time) as firstTime
4 max(_time) as lastTime
5
6FROM datamodel=Web WHERE
7
8Web.url="*/webui/logoutconfirm.html?logon_hash=*"
9Web.http_method=POST
10Web.status=200
11
12BY Web.http_user_agent Web.status Web.http_method
13 Web.url Web.url_length Web.src Web.dest
14
15| `drop_dm_object_name("Web")`
16
17| `security_content_ctime(firstTime)`
18
19| `security_content_ctime(lastTime)`
20
21| `cisco_ios_xe_implant_access_filter`
Data Source
| Name | Platform | Sourcetype | Source |
|---|---|---|---|
| Suricata | Other | 'suricata' |
'not_applicable' |
Macros Used
| Name | Value |
|---|---|
| security_content_ctime | convert timeformat="%Y-%m-%dT%H:%M:%S" ctime($field$) |
| cisco_ios_xe_implant_access_filter | search * |
cisco_ios_xe_implant_access_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Annotations
CVE
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
This detection requires the Web datamodel to be populated from a supported Technology Add-On like Splunk for Apache, Splunk for Nginx, Suricata, or Splunk for Palo Alto.
Known False Positives
False positives may be present from vulnerability scanners or legitimate access requests. Apply appropriate filters as needed.
Associated Analytic Story
Risk Based Analytics (RBA)
Risk Message:
Possible exploitation of CVE-2023-20198 against $dest$ via $url$ by $src$.
| Risk Object | Risk Object Type | Risk Score | Threat Objects |
|---|---|---|---|
| dest | system | 50 | src |
References
-
https://blog.talosintelligence.com/active-exploitation-of-cisco-ios-xe-software/
-
https://github.com/vulncheck-oss/cisco-ios-xe-implant-scanner
Detection Testing
| Test Type | Status | Dataset | Source | Sourcetype |
|---|---|---|---|---|
| Validation | ✅ Passing | N/A | N/A | N/A |
| Unit | ✅ Passing | Dataset | not_applicable |
suricata |
| Integration | ✅ Passing | Dataset | not_applicable |
suricata |
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