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Description

This analytic detects attempts to exploit the ConnectWise ScreenConnect CVE-2024-1709 vulnerability, which allows an attacker to bypass authentication using an alternate path or channel. The vulnerability, identified as critical with a CVSS score of 10, enables unauthorized users to access the SetupWizard.aspx page on already-configured ScreenConnect instances, potentially leading to the creation of administrative users and remote code execution. The search query provided looks for web requests to the SetupWizard.aspx page that could indicate exploitation attempts. This detection is crucial for identifying and responding to active exploitation of this vulnerability in environments running affected versions of ScreenConnect (23.9.7 and prior). It is recommended to update to version 23.9.8 or above immediately to remediate the issue, as detailed in the ConnectWise security advisory and further analyzed by Huntress researchers.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Web
  • Last Updated: 2024-02-23
  • Author: Michael Haag, Splunk
  • ID: d3f7a803-e802-448b-8eb2-e796b223bfff

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1190 Exploit Public-Facing Application Initial Access
Kill Chain Phase
  • Delivery
NIST
  • DE.CM
CIS20
  • CIS 13
CVE
ID Summary CVSS
CVE-2024-1708 ConnectWise ScreenConnect 23.9.7 and prior are affected by path-traversal vulnerability, which may allow an attacker  

the ability to execute remote code or directly impact confidential data or critical systems.

None  
CVE-2024-1709 ConnectWise ScreenConnect 23.9.7 and prior are affected by an Authentication Bypass Using an Alternate Path or Channel

vulnerability, which may allow an attacker direct access to confidential information or

critical systems.

None 


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| tstats count min(_time) as firstTime max(_time) as lastTime from datamodel=Web where Web.url IN ("*/SetupWizard.aspx/*","*/SetupWizard/") Web.status=200 Web.http_method=POST by Web.src, Web.dest, Web.http_user_agent, Web.url, Web.status, Web.http_method, sourcetype, source 
| rex field=Web.url "/SetupWizard.aspx/(?<randomPath>.+)" 
| `drop_dm_object_name("Web")` 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `connectwise_screenconnect_authentication_bypass_filter`

Macros

The SPL above uses the following Macros:

:information_source: connectwise_screenconnect_authentication_bypass_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.

  • Web.src
  • Web.dest
  • Web.http_user_agent
  • Web.url
  • Web.status
  • Web.http_method

How To Implement

To implement this analytic, ensure proper logging is occurring with IIS, Apache, or a Proxy server and that these logs are being ingested into Splunk. The analytic was written against Suricata. The proper TA will need to be enabled and should be mapped to CIM and the Web datamodel. Ingestion of the data source is required to utilize this detection. In addition, if it is not mapped to the datamodel, modify the query for your application logs to look for requests the same URI and investigate further.

Known False Positives

False positives are not expected, as the detection is based on the presence of web requests to the SetupWizard.aspx page, which is not a common page to be accessed by legitimate users. Note that the analytic is limited to HTTP POST and a status of 200 to reduce false positives. Modify the query as needed to reduce false positives or hunt for additional indicators of compromise.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
100.0 100 100 An authentication bypass attempt against ScreenConnect has been detected on $dest$.

:information_source: 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: 2