:warning: THIS IS A EXPERIMENTAL DETECTION

This detection has been marked experimental by the Splunk Threat Research team. This means we have not been able to test, simulate, or build datasets for this detection. Use at your own risk. This analytic is NOT supported.

Try in Splunk Security Cloud

Description

The following analytic identifies malicious HTTP requests targeting the jmx-console in JBoss servers. It detects unusually long URLs, indicative of embedded payloads, by analyzing web server logs for GET or HEAD requests with specific URL patterns and lengths. This activity is significant as it may indicate an attempt to exploit JBoss vulnerabilities, potentially leading to unauthorized remote code execution. If confirmed malicious, attackers could gain control over the server, escalate privileges, and compromise sensitive data, posing a severe threat to the organization's security.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Web
  • Last Updated: 2024-05-19
  • Author: Bhavin Patel, Splunk
  • ID: c8bff7a4-11ea-4416-a27d-c5bca472913d

Annotations

ATT&CK
Kill Chain Phase
NIST
  • DE.CM
CIS20
  • CIS 13
CVE 


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| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Web where (Web.http_method="GET" OR Web.http_method="HEAD") by Web.http_method, Web.url,Web.url_length Web.src, Web.dest 
| search Web.url="*jmx-console/HtmlAdaptor?action=invokeOpByName&name=jboss.admin*import*" AND Web.url_length > 200 
| `drop_dm_object_name("Web")` 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| table src, dest_ip, http_method, url, firstTime, lastTime 
| `detect_malicious_requests_to_exploit_jboss_servers_filter`

Macros

The SPL above uses the following Macros:

:information_source: detect_malicious_requests_to_exploit_jboss_servers_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

How To Implement

You must ingest data from the web server or capture network data that contains web specific information with solutions such as Bro or Splunk Stream, and populating the Web data model

Known False Positives

No known false positives for this detection.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
25.0 50 50 tbd

: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