WARNING THIS IS A EXPERIMENTAL object

We have not been able to test, simulate, or build datasets for this object. Use at your own risk. This analytic is NOT supported.

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Description

This search looks for specific GET or HEAD requests to web servers that are indicative of reconnaissance attempts to identify vulnerable JBoss servers. JexBoss is described as the exploit tool of choice for this malicious activity.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Web
  • Last Updated: 2017-09-23
  • Author: Bhavin Patel, Splunk
  • ID: 104658f4-afdc-499e-9719-17243f982681

Annotations

ATT&CK
ID Technique Tactic
T1082 System Information Discovery Discovery
Kill Chain Phase
  • Reconnaissance
NIST
CIS20
CVE
1
2
3
4
5
6
| 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") AND (Web.url="*/web-console/ServerInfo.jsp*" OR Web.url="*web-console*" OR Web.url="*jmx-console*" OR Web.url = "*invoker*") by Web.http_method, Web.url, Web.src, Web.dest 
| `drop_dm_object_name("Web")` 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `detect_attackers_scanning_for_vulnerable_jboss_servers_filter`

Macros

The SPL above uses the following Macros:

Note that detect_attackers_scanning_for_vulnerable_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 field

  • _time
  • Web.http_method
  • Web.url
  • Web.src
  • Web.dest

How To Implement

You must be ingesting data from the web server or network traffic that contains web specific information, and populating the Web data model.

Known False Positives

It’s possible for legitimate HTTP requests to be made to URLs containing the suspicious paths.

Associated Analytic story

RBA

Risk Score Impact Confidence Message
25.0 50 50 tbd

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: 1