Detection: Java Class File download by Java User Agent
Description
The following analytic identifies a Java user agent performing a GET request for a .class file from a remote site. It leverages web or proxy logs within the Web Datamodel to detect this activity. This behavior is significant as it may indicate exploitation attempts, such as those related to CVE-2021-44228 (Log4Shell). If confirmed malicious, an attacker could exploit vulnerabilities in the Java application, potentially leading to remote code execution and further compromise of the affected system.
Search
1
2| tstats `security_content_summariesonly` count FROM datamodel=Web
3 WHERE Web.http_user_agent="*Java*" Web.http_method="GET" Web.url="*.class*"
4 BY Web.http_user_agent Web.http_method, Web.url,Web.url_length
5 Web.src, Web.dest
6
7| `drop_dm_object_name("Web")`
8
9| `security_content_ctime(firstTime)`
10
11| `security_content_ctime(lastTime)`
12
13| `java_class_file_download_by_java_user_agent_filter`
Data Source
Macros Used
| Name |
Value |
| security_content_summariesonly |
summariesonly=summariesonly_config allow_old_summaries=oldsummaries_config fillnull_value=fillnull_config`` |
| java_class_file_download_by_java_user_agent_filter |
search * |
java_class_file_download_by_java_user_agent_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Annotations
| ID |
Technique |
Tactic |
| T1190 |
Exploit Public-Facing Application |
Initial Access |
CVE
Default Configuration
This detection is configured by default in Splunk Enterprise Security to run with the following settings:
| Setting |
Value |
| Disabled |
true |
| Cron Schedule |
0 * * * * |
| Earliest Time |
-70m@m |
| Latest Time |
-10m@m |
| Schedule Window |
auto |
| Creates Finding (Notable) |
Yes |
| Rule Title |
%name% |
| Rule Description |
%description% |
| Notable Event Fields |
user, dest |
| Creates Intermediate Finding (Risk Event) |
No |
TTP detections generate a Finding (Notable) and may generate Intermediate Findings (Risk Events) for associated entities.
Implementation
To successfully implement this search, you need to be ingesting web or proxy logs, or ensure it is being filled by a proxy like device, into the Web Datamodel. For additional filtering, allow list private IP space or restrict by known good.
Known False Positives
Filtering may be required in some instances, filter as needed.
Associated Analytic Story
Finding
| Title |
Entity Field |
Entity Type |
Risk Score |
| A Java user agent $http_user_agent$ was performing a $http_method$ to retrieve a remote class file. |
dest |
system |
50 |
Threat Objects
| Field |
Type |
| http_user_agent |
http_user_agent |
References
Detection Testing
| Test Type |
Status |
Dataset |
Source |
Sourcetype |
| Validation |
✅ Passing |
N/A |
N/A |
N/A |
| Unit |
✅ Passing |
Dataset |
stream:http |
stream:http |
| Integration |
✅ Passing |
Dataset |
stream:http |
stream:http |
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: GitHub |
Version: 10