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85 lines
2.4 KiB
Markdown
85 lines
2.4 KiB
Markdown
---
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title: "Suspicious Java Classes"
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excerpt: ""
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categories:
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- Application
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last_modified_at: 2018-12-06
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toc: true
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toc_label: ""
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tags:
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- Splunk Enterprise
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- Splunk Enterprise Security
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- Splunk Cloud
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---
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### ⚠️ WARNING THIS IS A EXPERIMENTAL DETECTION
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We have not been able to test, simulate or build datasets for it, use at your own risk!
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[Try in Splunk Security Cloud](https://www.splunk.com/en_us/cyber-security.html){: .btn .btn--success}
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#### Description
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This search looks for suspicious Java classes that are often used to exploit remote command execution in common Java frameworks, such as Apache Struts.
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- **Type**: Anomaly
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- **Product**: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
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- **Datamodel**:
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- **Last Updated**: 2018-12-06
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- **Author**: Jose Hernandez, Splunk
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- **ID**: if1fea6da-3c86-4c1d-b255-fc3b2781a491
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#### Search
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```
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`stream_http` http_method=POST http_content_length>1
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| regex form_data="(?i)java\.lang\.(?:runtime
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|processbuilder)"
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| rename src_ip as src
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| 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
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| `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)`
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| `suspicious_java_classes_filter`
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```
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#### Associated Analytic Story
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* [Apache Struts Vulnerability](/stories/apache_struts_vulnerability)
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#### How To Implement
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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.
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#### Required field
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* _time
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* http_method
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* http_content_length
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* src_ip
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* url
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* status
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* http_user_agent
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* src
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* dest
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#### Kill Chain Phase
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* Exploitation
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#### Known False Positives
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There are no known false positives.
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#### Reference
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#### Test Dataset
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Replay any dataset to Splunk Enterprise by using our [`replay.py`](https://github.com/splunk/attack_data#using-replaypy) tool or the [UI](https://github.com/splunk/attack_data#using-ui).
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Alternatively you can replay a dataset into a [Splunk Attack Range](https://github.com/splunk/attack_range#replay-dumps-into-attack-range-splunk-server)
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[*source*](https://github.com/splunk/security_content/tree/develop/detections/experimental/application/suspicious_java_classes.yml) \| *version*: **1** |