AWS Execution via System Manager
Identifies the execution of commands and scripts via System Manager. Execution methods such as RunShellScript, RunPowerShellScript, and alike can be abused by an authenticated attacker to install a backdoor or to interact with a compromised instance via reverse-shell using system only commands.
Elastic rule (View on GitHub)
1[metadata]
2creation_date = "2020/07/06"
3integration = ["aws"]
4maturity = "production"
5updated_date = "2024/05/21"
6
7[rule]
8author = ["Elastic"]
9description = """
10Identifies the execution of commands and scripts via System Manager. Execution methods such as RunShellScript,
11RunPowerShellScript, and alike can be abused by an authenticated attacker to install a backdoor or to interact with a
12compromised instance via reverse-shell using system only commands.
13"""
14false_positives = [
15 """
16 Verify whether the user identity, user agent, and/or hostname should be making changes in your environment.
17 Suspicious commands from unfamiliar users or hosts should be investigated. If known behavior is causing false
18 positives, it can be exempted from the rule.
19 """,
20]
21from = "now-60m"
22index = ["filebeat-*", "logs-aws.cloudtrail-*"]
23interval = "10m"
24language = "kuery"
25license = "Elastic License v2"
26name = "AWS Execution via System Manager"
27note = """## Triage and analysis
28
29### Investigating AWS Execution via System Manager
30
31Amazon EC2 Systems Manager is a management service designed to help users automatically collect software inventory, apply operating system patches, create system images, and configure Windows and Linux operating systems.
32
33This rule looks for the execution of commands and scripts using System Manager. Note that the actual contents of these scripts and commands are not included in the event, so analysts must gain visibility using an host-level security product.
34
35#### Possible investigation steps
36
37- Identify the user account that performed the action and whether it should perform this kind of action.
38- Investigate other alerts associated with the user account during the past 48 hours.
39- Validate that the activity is not related to planned patches, updates, network administrator activity, or legitimate software installations.
40- Investigate the commands or scripts using host-level visibility.
41- Considering the source IP address and geolocation of the user who issued the command:
42 - Do they look normal for the calling user?
43 - If the source is an EC2 IP address, is it associated with an EC2 instance in one of your accounts or is the source IP from an EC2 instance that's not under your control?
44 - If it is an authorized EC2 instance, is the activity associated with normal behavior for the instance role or roles? Are there any other alerts or signs of suspicious activity involving this instance?
45- Assess whether this behavior is prevalent in the environment by looking for similar occurrences involving other users.
46- Contact the account owner and confirm whether they are aware of this activity.
47- Check if this operation was approved and performed according to the organization's change management policy.
48- If you suspect the account has been compromised, scope potentially compromised assets by tracking servers, services, and data accessed by the account in the last 24 hours.
49
50### False positive analysis
51
52- If this rule is noisy in your environment due to expected activity, consider adding exceptions — preferably with a combination of user and IP address conditions.
53
54### Response and remediation
55
56- Initiate the incident response process based on the outcome of the triage.
57- Disable or limit the account during the investigation and response.
58- Identify the possible impact of the incident and prioritize accordingly; the following actions can help you gain context:
59 - Identify the account role in the cloud environment.
60 - Assess the criticality of affected services and servers.
61 - Work with your IT team to identify and minimize the impact on users.
62 - Identify if the attacker is moving laterally and compromising other accounts, servers, or services.
63 - Identify any regulatory or legal ramifications related to this activity.
64- Investigate credential exposure on systems compromised or used by the attacker to ensure all compromised accounts are identified. Reset passwords or delete API keys as needed to revoke the attacker's access to the environment. Work with your IT teams to minimize the impact on business operations during these actions.
65- Check if unauthorized new users were created, remove unauthorized new accounts, and request password resets for other IAM users.
66- Consider enabling multi-factor authentication for users.
67- Review the permissions assigned to the implicated user to ensure that the least privilege principle is being followed.
68- Implement security best practices [outlined](https://aws.amazon.com/premiumsupport/knowledge-center/security-best-practices/) by AWS.
69- Take the actions needed to return affected systems, data, or services to their normal operational levels.
70- Identify the initial vector abused by the attacker and take action to prevent reinfection via the same vector.
71- 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).
72
73## Setup
74
75The AWS Fleet integration, Filebeat module, or similarly structured data is required to be compatible with this rule."""
76references = ["https://docs.aws.amazon.com/systems-manager/latest/userguide/ssm-plugins.html"]
77risk_score = 21
78rule_id = "37b211e8-4e2f-440f-86d8-06cc8f158cfa"
79severity = "low"
80tags = [
81 "Domain: Cloud",
82 "Data Source: AWS",
83 "Data Source: Amazon Web Services",
84 "Data Source: AWS SSM",
85 "Use Case: Log Auditing",
86 "Tactic: Initial Access",
87 "Resources: Investigation Guide",
88]
89timestamp_override = "event.ingested"
90type = "query"
91
92query = '''
93event.dataset:aws.cloudtrail and event.provider:ssm.amazonaws.com and event.action:SendCommand and event.outcome:success
94'''
95
96
97[[rule.threat]]
98framework = "MITRE ATT&CK"
99[[rule.threat.technique]]
100id = "T1566"
101name = "Phishing"
102reference = "https://attack.mitre.org/techniques/T1566/"
103[[rule.threat.technique.subtechnique]]
104id = "T1566.002"
105name = "Spearphishing Link"
106reference = "https://attack.mitre.org/techniques/T1566/002/"
107
108
109
110[rule.threat.tactic]
111id = "TA0001"
112name = "Initial Access"
113reference = "https://attack.mitre.org/tactics/TA0001/"
Triage and analysis
Investigating AWS Execution via System Manager
Amazon EC2 Systems Manager is a management service designed to help users automatically collect software inventory, apply operating system patches, create system images, and configure Windows and Linux operating systems.
This rule looks for the execution of commands and scripts using System Manager. Note that the actual contents of these scripts and commands are not included in the event, so analysts must gain visibility using an host-level security product.
Possible investigation steps
- Identify the user account that performed the action and whether it should perform this kind of action.
- Investigate other alerts associated with the user account during the past 48 hours.
- Validate that the activity is not related to planned patches, updates, network administrator activity, or legitimate software installations.
- Investigate the commands or scripts using host-level visibility.
- Considering the source IP address and geolocation of the user who issued the command:
- Do they look normal for the calling user?
- If the source is an EC2 IP address, is it associated with an EC2 instance in one of your accounts or is the source IP from an EC2 instance that's not under your control?
- If it is an authorized EC2 instance, is the activity associated with normal behavior for the instance role or roles? Are there any other alerts or signs of suspicious activity involving this instance?
- Assess whether this behavior is prevalent in the environment by looking for similar occurrences involving other users.
- Contact the account owner and confirm whether they are aware of this activity.
- Check if this operation was approved and performed according to the organization's change management policy.
- If you suspect the account has been compromised, scope potentially compromised assets by tracking servers, services, and data accessed by the account in the last 24 hours.
False positive analysis
- If this rule is noisy in your environment due to expected activity, consider adding exceptions — preferably with a combination of user and IP address conditions.
Response and remediation
- Initiate the incident response process based on the outcome of the triage.
- Disable or limit the account during the investigation and response.
- Identify the possible impact of the incident and prioritize accordingly; the following actions can help you gain context:
- Identify the account role in the cloud environment.
- Assess the criticality of affected services and servers.
- Work with your IT team to identify and minimize the impact on users.
- Identify if the attacker is moving laterally and compromising other accounts, servers, or services.
- Identify any regulatory or legal ramifications related to this activity.
- Investigate credential exposure on systems compromised or used by the attacker to ensure all compromised accounts are identified. Reset passwords or delete API keys as needed to revoke the attacker's access to the environment. Work with your IT teams to minimize the impact on business operations during these actions.
- Check if unauthorized new users were created, remove unauthorized new accounts, and request password resets for other IAM users.
- Consider enabling multi-factor authentication for users.
- Review the permissions assigned to the implicated user to ensure that the least privilege principle is being followed.
- Implement security best practices outlined by AWS.
- Take the actions needed to return affected systems, data, or services to their normal operational levels.
- Identify 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
The AWS Fleet integration, Filebeat module, or similarly structured data is required to be compatible with this rule.
References
Related rules
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