Splunk Enterprise Windows Deserialization File Partition
Description
In Splunk Enterprise for Windows versions below 9.0.8 and 9.1.3, Splunk Enterprise does not correctly sanitize path input data resulting in the unsafe deserialization of untrusted data. This vulnerability only affects Splunk Enterprise for Windows.
- Type: TTP
-
Product: Splunk Enterprise
- Last Updated: 2024-01-18
- Author: Rod Soto, Eric McGinnis, Chase Franklin
- ID: 947d4d2e-1b64-41fc-b32a-736ddb88ce97
Annotations
Kill Chain Phase
- Delivery
NIST
- DE.CM
CIS20
- CIS 10
CVE
ID | Summary | CVSS |
---|---|---|
CVE-2024-23678 | In Splunk Enterprise for Windows versions below 9.0.8 and 9.1.3, Splunk Enterprise does not correctly sanitize path input data. This results in the unsafe deserialization of untrusted data from a separate disk partition on the machine. This vulnerability only affects Splunk Enterprise for Windows. | None |
Search
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`splunk_python` request_path="/en-US/app/search/C:\\Program" *strings*
| rex "request_path=(?<file_path>[^\"]+)"
| rex field=file_path "[^\"]+/(?<file_name>[^\"\'\s/\\\\]+)"
| stats min(_time) as firstTime max(_time) as lastTime values(file_path) as file_path values(file_name) as file_name by index, sourcetype, host
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `splunk_enterprise_windows_deserialization_file_partition_filter`
Macros
The SPL above uses the following Macros:
splunk_enterprise_windows_deserialization_file_partition_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.
- request_path
- field
- file_name
- host
How To Implement
Requires access to internal indexes. This detection search will display irregular path file execution, which will display exploit attempts. Only applies to Microsoft Windows Splunk versions.
Known False Positives
Irregular path with files that may be purposely called for benign reasons may produce false positives.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
90.0 | 100 | 90 | Possible Windows Deserialization exploitation via irregular path file against $host$ |
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: 1