| ID | Technique | Tactic |
|---|---|---|
| T1546.004 | Unix Shell Configuration Modification | Persistence |
Detection: Linux Auditd Unix Shell Configuration Modification
Description
The following analytic detects suspicious access or 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.
Correlate this with related EXECVE or PROCTITLE events to identify the process or user responsible for the access or modification.
Search
1`linux_auditd`
2(type=PATH OR type=CWD)
3
4| rex "msg=audit\([^)]*:(?<audit_id>\d+)\)"
5
6
7| stats
8 values(type) as types
9 values(name) as names
10 values(nametype) as nametype
11 values(cwd) as cwd_list
12 values(_time) as event_times
13 by audit_id, host
14
15
16| eval current_working_directory = coalesce(mvindex(cwd_list, 0), "N/A")
17
18| eval candidate_paths = mvmap(names, if(match(names, "^/"), names, current_working_directory + "/" + names))
19
20| eval matched_paths = mvfilter(match(candidate_paths, "/etc/profile
21|/etc/shells
22|/etc/profile\\.d/.*
23|/etc/bash\\.bashrc.*
24|/etc/bashrc
25|.*/zsh/zprofile
26|.*/zsh/zshrc
27|.*/zsh/zlogin
28|.*/zsh/zlogout
29|/etc/csh\\.cshrc.*
30|/etc/csh\\.login.*
31|/root/\\.bashrc.*
32|/root/\\.bash_profile.*
33|/root/\\.profile.*
34|/root/\\.zshrc.*
35|/root/\\.zprofile.*
36|/home/.*/\\.bashrc.*
37|/home/.*/\\.zshrc.*
38|/home/.*/\\.bash_profile.*
39|/home/.*/\\.zprofile.*
40|/home/.*/\\.profile.*
41|/home/.*/\\.bash_login.*
42|/home/.*/\\.bash_logout.*
43|/home/.*/\\.zlogin.*
44|/home/.*/\\.zlogout.*"))
45
46| eval match_count = mvcount(matched_paths)
47
48| eval reconstructed_path = mvindex(matched_paths, 0)
49
50| eval e_time = mvindex(event_times, 0)
51
52| where match_count > 0
53
54| rename host as dest
55
56
57| stats count min(e_time) as firstTime max(e_time) as lastTime
58 values(nametype) as nametype
59 by current_working_directory
60 reconstructed_path
61 match_count
62 dest
63 audit_id
64
65
66| `security_content_ctime(firstTime)`
67
68| `security_content_ctime(lastTime)`
69
70| `linux_auditd_unix_shell_configuration_modification_filter`
Data Source
| Name | Platform | Sourcetype | Source |
|---|---|---|---|
| Linux Auditd Cwd | 'auditd' |
'auditd' |
|
| Linux Auditd Path | 'auditd' |
'auditd' |
Macros Used
| Name | Value |
|---|---|
| linux_auditd | sourcetype="auditd" |
| linux_auditd_unix_shell_configuration_modification_filter | search * |
linux_auditd_unix_shell_configuration_modification_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Annotations
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 Notable | Yes |
| Rule Title | %name% |
| Rule Description | %description% |
| Notable Event Fields | user, dest |
| Creates Risk Event | True |
Implementation
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 and make sure the type=CWD record type is activate in your auditd configuration. 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
Risk Based Analytics (RBA)
Risk Message:
A [$nametype$] event occurred on host - [$dest$] to modify the unix shell configuration file.
| Risk Object | Risk Object Type | Risk Score | Threat Objects |
|---|---|---|---|
| dest | system | 64 | No Threat Objects |
References
Detection Testing
| Test Type | Status | Dataset | Source | Sourcetype |
|---|---|---|---|---|
| Validation | ✅ Passing | N/A | N/A | N/A |
| Unit | ✅ Passing | Dataset | auditd |
auditd |
| Integration | ✅ Passing | Dataset | auditd |
auditd |
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: 8