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Description

The following analytic is designed to identify POST request activities targeting specific endpoints known to be vulnerable to the SSRF issue (CVE-2024-21893) in Ivanti's products. It aggregates data from the Web data model, focusing on endpoints /dana-ws/saml20.ws, /dana-ws/saml.ws, /dana-ws/samlecp.ws, and /dana-na/auth/saml-logout.cgi. The query filters for POST requests that received a HTTP 200 OK response, indicating successful request execution.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Web
  • Last Updated: 2024-02-05
  • Author: Michael Haag, Splunk
  • ID: 8e6ca490-7af3-4299-9a24-39fb69759925

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-2024-21893 A server-side request forgery vulnerability in the SAML component of Ivanti Connect Secure (9.x, 22.x) and Ivanti Policy Secure (9.x, 22.x) and Ivanti Neurons for ZTA allows an attacker to access certain restricted resources without authentication. None 


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| tstats count min(_time) as firstTime max(_time) as lastTime from datamodel=Web where Web.url IN ("*/dana-ws/saml20.ws*","*/dana-ws/saml.ws*","*/dana-ws/samlecp.ws*","*/dana-na/auth/saml-logout.cgi/*") Web.http_method=POST Web.status=200 by Web.src, Web.dest, Web.http_user_agent, Web.url, Web.status, Web.http_method 
| `drop_dm_object_name("Web")` 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `ivanti_connect_secure_ssrf_in_saml_component_filter`

Macros

The SPL above uses the following Macros:

:information_source: ivanti_connect_secure_ssrf_in_saml_component_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

This detection requires the Web datamodel to be populated from a supported Technology Add-On like Suricata, Splunk for Apache, Splunk for Nginx, or Splunk for Palo Alto.

Known False Positives

This analytic is limited to HTTP Status 200; adjust as necessary. False positives may occur if the HTTP Status is removed, as most failed attempts result in a 301. It's recommended to review the context of the alerts and adjust the analytic parameters to better fit the specific environment.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
81.0 90 90 Possible exploitation of CVE-2024-21893 against $dest$ from $src$.

: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

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