splunk-security_content/docs/_posts/2018-12-06-suspicious_java_classes.md

title, excerpt, categories, last_modified_at, toc, toc_label, tags

title	excerpt	categories	last_modified_at	toc	toc_label	tags
Suspicious Java Classes		Application	2018-12-06	true		Splunk Enterprise Splunk Enterprise Security Splunk Cloud

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 suspicious Java classes that are often used to exploit remote command execution in common Java frameworks, such as Apache Struts.

• Type: Anomaly

• Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

• Last Updated: 2018-12-06

• Author: Jose Hernandez, Splunk

• ID: 6ed33786-5e87-4f55-b62c-cb5f1168b831

Search

`stream_http` http_method=POST http_content_length>1 
| regex form_data="(?i)java\.lang\.(?:runtime
|processbuilder)" 
| rename src_ip as src 
| stats count earliest(_time) as firstTime, latest(_time) as lastTime, values(url) as uri, values(status) as status, values(http_user_agent) as http_user_agent by src, dest 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `suspicious_java_classes_filter`

Macros

The SPL above uses the following Macros:

• security_content_ctime
• stream_http

Note that suspicious_java_classes_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
• http_method
• http_content_length
• src_ip
• url
• status
• http_user_agent
• src
• dest

How To Implement

In order to properly run this search, Splunk needs to ingest data from your web-traffic appliances that serve or sit in the path of your Struts application servers. This can be accomplished by indexing data from a web proxy, or by using network traffic-analysis tools, such as Splunk Stream or Bro.

Known False Positives

There are no known false positives.

Associated Analytic story

• Apache Struts Vulnerability

Kill Chain Phase

• Exploitation

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

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