ID | Technique | Tactic |
---|---|---|
T1190 | Exploit Public-Facing Application | Initial Access |
Detection: Ivanti EPM SQL Injection Remote Code Execution
Description
This detection identifies potential exploitation of a critical SQL injection vulnerability in Ivanti Endpoint Manager (EPM), identified as CVE-2024-29824. The vulnerability, which has a CVSS score of 9.8, allows for remote code execution through the RecordGoodApp
function in the PatchBiz.dll
file. An attacker can exploit this vulnerability by manipulating the goodApp.md5
value in an HTTP POST request to the /WSStatusEvents/EventHandler.asmx
endpoint, leading to unauthorized command execution on the server. Monitoring for unusual SQL commands and HTTP requests to this endpoint can help identify exploitation attempts. Note that, the detection is focused on the URI path, HTTP method and status code of 200, indicating potential exploitation. To properly identify if this was successful, TLS inspection and additional network traffic analysis is required as the xp_cmdshell comes in via the request body.
Search
1
2| tstats count min(_time) as firstTime max(_time) as lastTime from datamodel=Web where Web.url IN ("/WSStatusEvents/EventHandler.asmx") Web.http_method=POST Web.status=200 by Web.http_user_agent, Web.status Web.http_method, Web.url, Web.url_length, Web.src, Web.dest, sourcetype
3| `drop_dm_object_name("Web")`
4| `security_content_ctime(firstTime)`
5| `security_content_ctime(lastTime)`
6| `ivanti_epm_sql_injection_remote_code_execution_filter`
Data Source
Name | Platform | Sourcetype | Source | Supported App |
---|---|---|---|---|
Suricata | N/A | 'suricata' |
'suricata' |
N/A |
Macros Used
Name | Value |
---|---|
security_content_ctime | convert timeformat="%Y-%m-%dT%H:%M:%S" ctime($field$) |
ivanti_epm_sql_injection_remote_code_execution_filter | search * |
ivanti_epm_sql_injection_remote_code_execution_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
The detection is based on monitoring HTTP POST requests to the /WSStatusEvents/EventHandler.asmx
endpoint with a status code of 200. The detection is focused on the URI path, HTTP method, and status code, which can indicate potential exploitation of the CVE-2024-29824 vulnerability. To implement this detection, ensure that you have enabled the necessary data sources and are ingesting HTTP traffic data. The detection can be implemented using Splunk Enterprise Security and Splunk Cloud with the provided search query. The search query should be scheduled to run at regular intervals to detect potential exploitation attempts. Additionally, consider implementing TLS inspection or network traffic analysis (IDS/IPS) to identify successful exploitation attempts.
Known False Positives
False positives are not expected, as this detection is based on monitoring HTTP POST requests to a specific endpoint with a status code of 200. However, ensure that legitimate requests to the /WSStatusEvents/EventHandler.asmx
endpoint are accounted for in the environment to avoid false positives.
Associated Analytic Story
Risk Based Analytics (RBA)
Risk Message | Risk Score | Impact | Confidence |
---|---|---|---|
Potential exploitation of a critical SQL injection vulnerability in Ivanti Endpoint Manager (EPM), identified as CVE-2024-29824 against $dest$. | 80 | 100 | 80 |
References
-
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2024-29824
-
https://github.com/projectdiscovery/nuclei-templates/pull/10020/files
Detection Testing
Test Type | Status | Dataset | Source | Sourcetype |
---|---|---|---|---|
Validation | ✅ Passing | N/A | N/A | N/A |
Unit | ✅ Passing | Dataset | suricata |
suricata |
Integration | ✅ Passing | Dataset | suricata |
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: 1