forked from brokensound77/detection-rules
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathdiscovery_security_software_grep.toml
118 lines (99 loc) · 4.97 KB
/
discovery_security_software_grep.toml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
[metadata]
creation_date = "2020/12/20"
integration = ["endpoint"]
maturity = "production"
min_stack_comments = "New fields added: required_fields, related_integrations, setup"
min_stack_version = "8.3.0"
updated_date = "2022/12/14"
[rule]
author = ["Elastic"]
description = """
Identifies the use of the grep command to discover known third-party macOS and Linux security tools, such as Antivirus
or Host Firewall details.
"""
false_positives = ["Endpoint Security installers, updaters and post installation verification scripts."]
from = "now-9m"
index = ["logs-endpoint.events.*", "auditbeat-*"]
language = "eql"
license = "Elastic License v2"
name = "Security Software Discovery via Grep"
note = """## Triage and analysis
### Investigating Security Software Discovery via Grep
After successfully compromising an environment, attackers may try to gain situational awareness to plan their next steps. This can happen by running commands to enumerate network resources, users, connections, files, and installed security software.
This rule looks for the execution of the `grep` utility with arguments compatible to the enumeration of the security software installed on the host. Attackers can use this information to decide whether or not to infect a system, disable protections, use bypasses, etc.
#### Possible investigation steps
- Investigate the process execution chain (parent process tree) for unknown processes. Examine their executable files for prevalence and whether they are located in expected locations.
- Investigate other alerts associated with the user/host during the past 48 hours.
- Investigate any abnormal account behavior, such as command executions, file creations or modifications, and network connections.
- Investigate any abnormal behavior by the subject process such as network connections, file modifications, and any spawned child processes.
- Inspect the host for suspicious or abnormal behavior in the alert timeframe.
- Validate the activity is not related to planned patches, updates, network administrator activity, or legitimate software installations.
### False positive analysis
- Discovery activities are not inherently malicious if they occur in isolation. As long as the analyst did not identify suspicious activity related to the user or host, such alerts can be dismissed.
### Response and remediation
- Initiate the incident response process based on the outcome of the triage.
- Isolate the involved hosts to prevent further post-compromise behavior.
- Investigate credential exposure on systems compromised or used by the attacker to ensure all compromised accounts are identified. Reset passwords for these accounts and other potentially compromised credentials, such as email, business systems, and web services.
- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components.
- Determine the initial vector abused by the attacker and take action to prevent reinfection via the same vector.
- Using the incident response data, update logging and audit policies to improve the mean time to detect (MTTD) and the mean time to respond (MTTR).
## Setup
If enabling an EQL rule on a non-elastic-agent index (such as beats) for versions <8.2, events will not define `event.ingested` and default fallback for EQL rules was not added until 8.2, so you will need to add a custom pipeline to populate `event.ingested` to @timestamp for this rule to work.
"""
risk_score = 47
rule_id = "870aecc0-cea4-4110-af3f-e02e9b373655"
severity = "medium"
tags = ["Elastic", "Host", "macOS", "Linux", "Threat Detection", "Discovery", "Investigation Guide"]
timestamp_override = "event.ingested"
type = "eql"
query = '''
process where event.type == "start" and
process.name : "grep" and user.id != "0" and
not process.parent.executable : "/Library/Application Support/*" and
process.args :
("Little Snitch*",
"Avast*",
"Avira*",
"ESET*",
"BlockBlock*",
"360Sec*",
"LuLu*",
"KnockKnock*",
"kav",
"KIS",
"RTProtectionDaemon*",
"Malware*",
"VShieldScanner*",
"WebProtection*",
"webinspectord*",
"McAfee*",
"isecespd*",
"macmnsvc*",
"masvc*",
"kesl*",
"avscan*",
"guard*",
"rtvscand*",
"symcfgd*",
"scmdaemon*",
"symantec*",
"sophos*",
"osquery*",
"elastic-endpoint*"
) and
not (process.args : "Avast" and process.args : "Passwords")
'''
[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1518"
name = "Software Discovery"
reference = "https://attack.mitre.org/techniques/T1518/"
[[rule.threat.technique.subtechnique]]
id = "T1518.001"
name = "Security Software Discovery"
reference = "https://attack.mitre.org/techniques/T1518/001/"
[rule.threat.tactic]
id = "TA0007"
name = "Discovery"
reference = "https://attack.mitre.org/tactics/TA0007/"