Detection: Ivanti EPM SQL Injection Remote Code Execution

Updated Date: 2024-06-18 ID: e20564ca-c86c-4e30-acdb-a8486673426f Author: Michael Haag Type: TTP Product: Splunk Enterprise Security

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.

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

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic
T1190 Exploit Public-Facing Application Initial Access
KillChainPhase.DELIVERY
NistCategory.DE_CM
Cis18Value.CIS_13
APT28
APT29
APT39
APT41
APT5
Axiom
BackdoorDiplomacy
BlackTech
Blue Mockingbird
Cinnamon Tempest
Dragonfly
Earth Lusca
FIN13
FIN7
Fox Kitten
GALLIUM
GOLD SOUTHFIELD
HAFNIUM
Ke3chang
Kimsuky
Magic Hound
Moses Staff
MuddyWater
Rocke
Sandworm Team
Threat Group-3390
ToddyCat
Volatile Cedar
Volt Typhoon
menuPass

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
This configuration file applies to all detections of type TTP. These detections will use Risk Based Alerting and generate Notable Events.

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
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

References

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