Linux Auditd Unix Shell Configuration Modification
Description
The following analytic detects suspicious modifications to Unix shell configuration files, which may indicate an attempt to alter system behavior or gain unauthorized access. Unix shell configuration files, such as .bashrc
or .profile
, control user environment settings and command execution. Unauthorized changes to these files can be used to execute malicious commands, escalate privileges, or hide malicious activities. By monitoring for unusual or unauthorized modifications to shell configuration files, this analytic helps identify potential security threats, allowing security teams to respond quickly and mitigate risks.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2024-09-04
- Author: Teoderick Contreras, Splunk
- ID: 66f737c6-3f7f-46ed-8e9b-cc0e5bf01f04
Annotations
ATT&CK
Kill Chain Phase
- Exploitation
- Installation
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
1
2
3
4
5
6
`linux_auditd` type=PATH name IN ("/etc/profile", "/etc/shells", "/etc/profile.d", "/etc/bash.bashrc", "/etc/bashrc", "/etc/zsh/zprofile", "/etc/zsh/zshrc", "/etc/zsh/zlogin", "/etc/zsh/zlogout", "/etc/csh.cshrc", "/etc/csh.login", "/root/.bashrc", "/root/.bash_profile", "root/.profile", "/root/.zshrc", "/root/.zprofile", "/home/*/.bashrc", "/home/*/.zshrc", "/home/*/.bash_profile", "/home/*/.zprofile", "/home/*/.profile", "/home/*/.bash_login", "/home/*/.bash_logout", "/home/*/.zlogin", "/home/*/.zlogout")
| rename host as dest
| stats count min(_time) as firstTime max(_time) as lastTime by name nametype OGID type dest
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `linux_auditd_unix_shell_configuration_modification_filter`
Macros
The SPL above uses the following Macros:
linux_auditd_unix_shell_configuration_modification_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.
- _time
- name
- nametype
- OGID
How To Implement
To implement this detection, the process begins by ingesting auditd data, that consist SYSCALL, TYPE, EXECVE and PROCTITLE events, which captures command-line executions and process details on Unix/Linux systems. These logs should be ingested and processed using Splunk Add-on for Unix and Linux (https://splunkbase.splunk.com/app/833), which is essential for correctly parsing and categorizing the data. The next step involves normalizing the field names to match the field names set by the Splunk Common Information Model (CIM) to ensure consistency across different data sources and enhance the efficiency of data modeling. This approach enables effective monitoring and detection of linux endpoints where auditd is deployed
Known False Positives
Administrator or network operator can use this application for automation purposes. Please update the filter macros to remove false positives.
Associated Analytic Story
- Linux Living Off The Land
- Linux Privilege Escalation
- Linux Persistence Techniques
- Compromised Linux Host
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
64.0 | 80 | 80 | A [$type$] event occured on host - [$dest$] to modify the unix shell configuration file. |
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
- https://www.splunk.com/en_us/blog/security/deep-dive-on-persistence-privilege-escalation-technique-and-detection-in-linux-platform.html
- https://github.com/peass-ng/PEASS-ng/tree/master/linPEAS
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