Linux Auditd Possible Access Or Modification Of Sshd Config File
Description
The following analytic detects access, deletion or modification of the ssh_config file on Linux systems. It leverages data from Linux Auditd, focusing on events of type PATH with a nametype of ("NORMAL", "CREATE", "DELETE"). This activity could be significant because unauthorized changes to ssh_config can allow threat actors to redirect port connections or use unauthorized keys, potentially compromising the system. Correlate this with related EXECVE or PROCTITLE events to identify the process or user responsible for the access or modification. If confirmed malicious, this could lead to unauthorized access, privilege escalation, or persistent backdoor access, posing a severe security risk.
Query · spl
`linux_auditd`
(
(type=PATH nametype IN ("NORMAL", "CREATE", "DELETE"))
OR
type=CWD
)
| rex "msg=audit\([^)]*:(?<audit_id>\d+)\)"
| stats
values(type) as types
values(name) as names
values(nametype) as nametype
values(cwd) as cwd_list
values(_time) as event_times
by audit_id, host
| eval current_working_directory = coalesce(mvindex(cwd_list, 0), "N/A")
| eval candidate_paths = mvmap(names, if(match(names, "^/"), names, current_working_directory + "/" + names))
| eval matched_paths = mvfilter(match(candidate_paths, "/etc/ssh/ssh_config.*"))
| eval match_count = mvcount(matched_paths)
| eval reconstructed_path = mvindex(matched_paths, 0)
| eval e_time = mvindex(event_times, 0)
| where match_count > 0
| rename host as dest
| stats count min(e_time) as firstTime max(e_time) as lastTime
values(nametype) as nametype
by current_working_directory
reconstructed_path
match_count
dest
audit_id
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `linux_auditd_possible_access_or_modification_of_sshd_config_file_filter`
Implementation guide
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 commandline for automation purposes. Please update the filter macros to remove false positives.
Analyst notes
Known false positives: Administrator or network operator can use this commandline for automation purposes. Please update the filter macros to remove false positives.