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The following analytic detects potential exploitation attempts against Adobe ColdFusion vulnerabilities CVE-2023-29298 and CVE-2023-26360. These vulnerabilities pertain to an access control bypass and an arbitrary file read due to deserialization, respectively. By monitoring for requests to specific ColdFusion Administrator endpoints, especially those with an unexpected additional forward slash, the analytic identifies attempts to bypass access controls. Such behavior is crucial for a Security Operations Center (SOC) to identify, as exploitation can grant unauthorized access to ColdFusion administration endpoints, potentially leading to information leakage, brute force attacks, or further exploitation of other vulnerabilities. If a true positive is detected, it indicates a serious security breach where an attacker might have gained privileged access to the ColdFusion environment, potentially leading to data theft or other malicious activities. SOCs must be vigilant in monitoring for these patterns, ensuring timely detection and response to such threats, thus safeguarding the integrity and security of their ColdFusion deployments.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Web
  • Last Updated: 2023-08-23
  • Author: Michael Haag, Splunk
  • ID: d6821c0b-fcdc-4c95-a77f-e10752fae41a




ID Technique Tactic
T1190 Exploit Public-Facing Application Initial Access
Kill Chain Phase
  • Delivery
  • DE.CM
  • CIS 13
ID Summary CVSS
CVE-2023-29298 Adobe ColdFusion versions 2018u16 (and earlier), 2021u6 (and earlier) and 2023.0.0.330468 (and earlier) are affected by an Improper Access Control vulnerability that could result in a Security feature bypass. An attacker could leverage this vulnerability to access the administration CFM and CFC endpoints. Exploitation of this issue does not require user interaction. None
| tstats count min(_time) as firstTime max(_time) as lastTime from datamodel=Web where Web.url IN ("//restplay*", "//CFIDE/restplay*", "//CFIDE/administrator*", "//CFIDE/adminapi*", "//CFIDE/main*", "//CFIDE/componentutils*", "//CFIDE/wizards*", "//CFIDE/servermanager*","/restplay*", "/CFIDE/restplay*", "/CFIDE/administrator*", "/CFIDE/adminapi*", "/CFIDE/main*", "/CFIDE/componentutils*", "/CFIDE/wizards*", "/CFIDE/servermanager*") Web.status=200 by Web.http_user_agent, Web.status, Web.http_method, Web.url, Web.url_length, Web.src, Web.dest, sourcetype 
| `drop_dm_object_name("Web")` 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `adobe_coldfusion_access_control_bypass_filter`


The SPL above uses the following Macros:

:information_source: adobe_coldfusion_access_control_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.

  • _time
  • Web.http_method
  • Web.url
  • Web.url_length
  • Web.src
  • Web.dest
  • Web.http_user_agent
  • Web.status
  • sourcetype

How To Implement

This detection requires the Web datamodel to be populated from a supported Technology Add-On like 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 URI path is IP-restricted or externally blocked. It's recommended to review the context of the alerts and adjust the analytic parameters to better fit the specific environment.

Associated Analytic Story


Risk Score Impact Confidence Message
45.0 90 50 Possible exploitation of CVE-2023-29298 against $dest$.

: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.


Test Dataset

Replay any dataset to Splunk Enterprise by using our tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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