AWS Discovery API Calls via CLI from a Single Resource
Detects when a single AWS resource is running multiple read-only, discovery API calls in a 10-second window. This behavior could indicate an actor attempting to discover the AWS infrastructure using compromised credentials or a compromised instance. Adversaries may use this information to identify potential targets for further exploitation or to gain a better understanding of the target's infrastructure.
Elastic rule (View on GitHub)
1[metadata]
2creation_date = "2024/11/04"
3integration = ["aws"]
4maturity = "production"
5updated_date = "2026/01/16"
6
7[rule]
8author = ["Elastic"]
9description = """
10Detects when a single AWS resource is running multiple read-only, discovery API calls in a 10-second window. This
11behavior could indicate an actor attempting to discover the AWS infrastructure using compromised credentials or a
12compromised instance. Adversaries may use this information to identify potential targets for further exploitation or to
13gain a better understanding of the target's infrastructure.
14"""
15false_positives = [
16 """
17 Administrators or automated systems may legitimately perform multiple `Describe`, `List`, `Get` and `Generate` API calls in a short
18 time frame. Verify the user identity and the purpose of the API calls to determine if the behavior is expected.
19 """,
20]
21from = "now-6m"
22language = "esql"
23license = "Elastic License v2"
24name = "AWS Discovery API Calls via CLI from a Single Resource"
25note = """## Triage and analysis
26
27### Investigating AWS Discovery API Calls via CLI from a Single Resource
28
29This rule detects when a single AWS identity executes more than five unique discovery-related API calls (`Describe*`, `List*`, `Get*`, or `Generate*`) within a 10-second window using the AWS CLI.
30High volumes of diverse “read-only” API calls in such a short period can indicate scripted reconnaissance, often an early phase of compromise after credential exposure or access to a compromised EC2 instance.
31
32#### Possible Investigation Steps
33
34**Identify the actor and session context**
35- **Actor ARN (`aws.cloudtrail.user_identity.arn`)**: Determine which IAM user, role, or service principal performed the actions.
36 - Check whether this identity normally performs enumeration activity or belongs to automation infrastructure.
37- **Identity type (`Esql.aws_cloudtrail_user_identity_arn_type`)**: Validate if the caller is a human IAM user, assumed role, or federated identity. Unusual types (e.g., temporary credentials from an unfamiliar role) may indicate lateral movement.
38- **Access key (`Esql.aws_cloudtrail_user_identity_access_key_id_values`)** – Identify which specific access key or temporary credential was used.
39 - If multiple suspicious keys are found, use AWS IAM console or `aws iam list-access-keys` to determine when they were last used or rotated.
40- **Account (`Esql.cloud_account_id_values`)** – Confirm which AWS account was affected and whether it matches the intended operational context (e.g., production vs. sandbox).
41
42**Assess the API call pattern and intent**
43- **Distinct action count (`Esql.event_action_count_distinct`)**: Note how many unique API calls occurred within each 10-second window. Counts far above normal operational baselines may indicate scripted reconnaissance.
44- **API actions (`Esql.event_action_values`)**: Review which discovery APIs were invoked.
45 - Focus on services such as EC2 (`DescribeInstances`), IAM (`ListRoles`, `ListAccessKeys`), S3 (`ListBuckets`), and KMS (`ListKeys`), which adversaries frequently query to map assets.
46- **Service providers (`Esql.event_provider_values`)**: Identify which AWS services were targeted.
47 - Multi-service enumeration (IAM + EC2 + S3) suggests broad discovery rather than a specific diagnostic task.
48- **Time window (`Esql.time_window_date_trunc`)**: Verify whether activity occurred during normal maintenance windows or outside expected hours.
49
50**Analyze the source and origin**
51- **Source IP (`Esql.source_ip_values`)**: Check the originating IPs to determine whether the calls came from a known internal host, an EC2 instance, or an unfamiliar external network.
52 - Compare with known corporate CIDR ranges, VPC flow logs, or guardrail baselines.
53- **Source organization (`Esql.source_as_organization_name_values`)**: Review the associated ASN or organization.
54 - If the ASN belongs to a commercial ISP or VPN service, investigate possible credential compromise or remote attacker usage.
55
56**Correlate with additional events**
57- Search CloudTrail for the same `aws.cloudtrail.user_identity.arn` or `aws_cloudtrail_user_identity_access_key_id_values` within ±30 minutes.
58 - Look for follow-on actions such as `GetCallerIdentity`, `AssumeRole`, `CreateAccessKey`, or data access (`GetObject`, `CopySnapshot`).
59 - Correlate this enumeration with authentication anomalies or privilege-related findings.
60- Cross-reference `Esql.cloud_account_id_values` with other alerts for lateral or privilege escalation patterns.
61
62### False positive analysis
63
64Legitimate, high-frequency API activity may originate from:
65- **Inventory or compliance automation**: Scripts or tools such as AWS Config, Cloud Custodian, or custom CMDB collection performing periodic Describe/List calls.
66- **Operational monitoring systems**: DevOps pipelines, Terraform, or deployment verifiers enumerating resources.
67- **Security tooling**: Security scanners performing asset discovery across services.
68
69Validate by confirming:
70- Whether the `aws.cloudtrail.user_identity.arn` corresponds to a documented automation or monitoring identity.
71- That the observed `Esql.event_action_values` match known inventory or cost-reporting workflows.
72- Timing alignment with approved maintenance schedules.
73
74### Response and remediation
75
76If the activity is unexpected or originates from unrecognized credentials, follow AWS’s incident-handling guidance:
77
78**Contain**
79- Temporarily disable or rotate the access key (`Esql.aws_cloudtrail_user_identity_access_key_id_values`) using IAM.
80- Restrict outbound connectivity for the instance or resource from which the API calls originated.
81
82**Investigate**
83- Retrieve full CloudTrail logs for the actor and `Esql.time_window_date_trunc` interval.
84- Identify any subsequent write or privilege-modification actions.
85- Review associated IAM policies for excessive permissions.
86
87**Recover and Harden**
88- Rotate credentials, enforce MFA on human users, and tighten IAM role trust policies.
89- Implement AWS Config rules or SCPs to monitor and restrict large-scale enumeration.
90
91**Post-Incident Actions**
92- Document the finding and response in your organization’s IR management system.
93- Update detection logic or allow-lists for known benign automation.
94- Validate recovery by confirming no new suspicious discovery bursts occur.
95
96### Additional information
97
98- **AWS Documentation**
99 - [CloudTrail Event Reference](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-event-reference.html)
100 - [AWS Security Incident Response Guide](https://docs.aws.amazon.com/whitepapers/latest/aws-security-incident-response-guide/aws-security-incident-response-guide.pdf)
101- **AWS Playbook Resources**
102 - [AWS Incident Response Playbooks](https://github.com/aws-samples/aws-incident-response-playbooks/tree/c151b0dc091755fffd4d662a8f29e2f6794da52c/playbooks)
103 - [AWS Customer Playbook Framework](https://github.com/aws-samples/aws-customer-playbook-framework)
104
105"""
106references = ["https://stratus-red-team.cloud/attack-techniques/AWS/aws.discovery.ec2-enumerate-from-instance/"]
107risk_score = 21
108rule_id = "74f45152-9aee-11ef-b0a5-f661ea17fbcd"
109severity = "low"
110tags = [
111 "Domain: Cloud",
112 "Data Source: AWS",
113 "Data Source: AWS EC2",
114 "Data Source: AWS IAM",
115 "Data Source: AWS S3",
116 "Data Source: AWS Cloudtrail",
117 "Data Source: AWS RDS",
118 "Data Source: AWS Lambda",
119 "Data Source: AWS STS",
120 "Data Source: AWS KMS",
121 "Data Source: AWS SES",
122 "Data Source: AWS Cloudfront",
123 "Data Source: AWS DynamoDB",
124 "Data Source: AWS Elastic Load Balancing",
125 "Use Case: Threat Detection",
126 "Tactic: Discovery",
127 "Resources: Investigation Guide",
128]
129timestamp_override = "event.ingested"
130type = "esql"
131
132query = '''
133from logs-aws.cloudtrail-* metadata _id, _version, _index
134// create time window buckets of 10 seconds
135| eval Esql.time_window_date_trunc = date_trunc(10 seconds, @timestamp)
136
137| where
138 event.dataset == "aws.cloudtrail"
139 // filter on CloudTrail audit logs for IAM, EC2, S3, etc.
140 and event.provider in (
141 "iam.amazonaws.com",
142 "ec2.amazonaws.com",
143 "s3.amazonaws.com",
144 "rds.amazonaws.com",
145 "lambda.amazonaws.com",
146 "dynamodb.amazonaws.com",
147 "kms.amazonaws.com",
148 "cloudfront.amazonaws.com",
149 "elasticloadbalancing.amazonaws.com",
150 "cloudtrail.amazonaws.com",
151 "sts.amazonaws.com",
152 "ses.amazonaws.com"
153 )
154 // ignore AWS service actions
155 and aws.cloudtrail.user_identity.type != "AWSService"
156 // filter for aws-cli specifically
157 and user_agent.name == "aws-cli"
158 // exclude DescribeCapacityReservations events related to AWS Config
159 and event.action != "DescribeCapacityReservations"
160
161// filter for Describe, Get, List, and Generate API calls
162| where true in (
163 starts_with(event.action, "Describe"),
164 starts_with(event.action, "Get"),
165 starts_with(event.action, "List"),
166 starts_with(event.action, "Generate")
167)
168
169// extract owner, identity type, and actor from the ARN
170| dissect aws.cloudtrail.user_identity.arn "%{}::%{Esql_priv.aws_cloudtrail_user_identity_arn_owner}:%{Esql.aws_cloudtrail_user_identity_arn_type}/%{Esql.aws_cloudtrail_user_identity_arn_roles}"
171
172| where starts_with(Esql.aws_cloudtrail_user_identity_arn_roles, "AWSServiceRoleForConfig") != true
173
174// keep relevant fields (preserving ECS fields and computed time window)
175| keep
176 @timestamp,
177 Esql.time_window_date_trunc,
178 event.action,
179 aws.cloudtrail.user_identity.arn,
180 aws.cloudtrail.user_identity.type,
181 aws.cloudtrail.user_identity.access_key_id,
182 source.ip,
183 cloud.account.id,
184 event.provider,
185 user_agent.name,
186 source.as.organization.name,
187 cloud.region,
188 data_stream.namespace
189
190// count the number of unique API calls per time window and actor
191| stats
192 Esql.event_action_count_distinct = count_distinct(event.action),
193 Esql.event_action_values = VALUES(event.action),
194 Esql.event_timestamp_values = VALUES(@timestamp),
195 Esql.aws_cloudtrail_user_identity_type_values = VALUES(aws.cloudtrail.user_identity.type),
196 Esql.aws_cloudtrail_user_identity_access_key_id_values = VALUES(aws.cloudtrail.user_identity.access_key_id),
197 Esql.source_ip_values = VALUES(source.ip),
198 Esql.cloud_account_id_values = VALUES(cloud.account.id),
199 Esql.event_provider_values = VALUES(event.provider),
200 Esql.user_agent_name_values = VALUES(user_agent.name),
201 Esql.source_as_organization_name_values = VALUES(source.as.organization.name),
202 Esql.cloud_region_values = VALUES(cloud.region),
203 Esql.data_stream_namespace_values = VALUES(data_stream.namespace)
204 by Esql.time_window_date_trunc, aws.cloudtrail.user_identity.arn
205
206// filter for more than 5 unique API calls per 10s window
207| where Esql.event_action_count_distinct > 5
208'''
209
210
211[[rule.threat]]
212framework = "MITRE ATT&CK"
213[[rule.threat.technique]]
214id = "T1580"
215name = "Cloud Infrastructure Discovery"
216reference = "https://attack.mitre.org/techniques/T1580/"
217
218
219[rule.threat.tactic]
220id = "TA0007"
221name = "Discovery"
222reference = "https://attack.mitre.org/tactics/TA0007/"
223
224[rule.investigation_fields]
225field_names = [
226 "Esql.event_action_count_distinct",
227 "Esql.time_window_date_trunc",
228 "aws.cloudtrail.user_identity.arn",
229 "Esql.aws_cloudtrail_user_identity_type_values",
230 "Esql.aws_cloudtrail_user_identity_access_key_id_values",
231 "Esql.source_ip_values",
232 "Esql.source_as_organization_name_values",
233 "Esql.event_provider_values",
234 "Esql.event_action_values",
235 "Esql.cloud_account_id_values",
236 "Esql.cloud_region_values",
237 "Esql.data_stream_namespace_values"
238 ]
Triage and analysis
Investigating AWS Discovery API Calls via CLI from a Single Resource
This rule detects when a single AWS identity executes more than five unique discovery-related API calls (Describe*, List*, Get*, or Generate*) within a 10-second window using the AWS CLI.
High volumes of diverse “read-only” API calls in such a short period can indicate scripted reconnaissance, often an early phase of compromise after credential exposure or access to a compromised EC2 instance.
Possible Investigation Steps
Identify the actor and session context
- Actor ARN (
aws.cloudtrail.user_identity.arn): Determine which IAM user, role, or service principal performed the actions.- Check whether this identity normally performs enumeration activity or belongs to automation infrastructure.
- Identity type (
Esql.aws_cloudtrail_user_identity_arn_type): Validate if the caller is a human IAM user, assumed role, or federated identity. Unusual types (e.g., temporary credentials from an unfamiliar role) may indicate lateral movement. - Access key (
Esql.aws_cloudtrail_user_identity_access_key_id_values) – Identify which specific access key or temporary credential was used.- If multiple suspicious keys are found, use AWS IAM console or
aws iam list-access-keysto determine when they were last used or rotated.
- If multiple suspicious keys are found, use AWS IAM console or
- Account (
Esql.cloud_account_id_values) – Confirm which AWS account was affected and whether it matches the intended operational context (e.g., production vs. sandbox).
Assess the API call pattern and intent
- Distinct action count (
Esql.event_action_count_distinct): Note how many unique API calls occurred within each 10-second window. Counts far above normal operational baselines may indicate scripted reconnaissance. - API actions (
Esql.event_action_values): Review which discovery APIs were invoked.- Focus on services such as EC2 (
DescribeInstances), IAM (ListRoles,ListAccessKeys), S3 (ListBuckets), and KMS (ListKeys), which adversaries frequently query to map assets.
- Focus on services such as EC2 (
- Service providers (
Esql.event_provider_values): Identify which AWS services were targeted.- Multi-service enumeration (IAM + EC2 + S3) suggests broad discovery rather than a specific diagnostic task.
- Time window (
Esql.time_window_date_trunc): Verify whether activity occurred during normal maintenance windows or outside expected hours.
Analyze the source and origin
- Source IP (
Esql.source_ip_values): Check the originating IPs to determine whether the calls came from a known internal host, an EC2 instance, or an unfamiliar external network.- Compare with known corporate CIDR ranges, VPC flow logs, or guardrail baselines.
- Source organization (
Esql.source_as_organization_name_values): Review the associated ASN or organization.- If the ASN belongs to a commercial ISP or VPN service, investigate possible credential compromise or remote attacker usage.
Correlate with additional events
- Search CloudTrail for the same
aws.cloudtrail.user_identity.arnoraws_cloudtrail_user_identity_access_key_id_valueswithin ±30 minutes.- Look for follow-on actions such as
GetCallerIdentity,AssumeRole,CreateAccessKey, or data access (GetObject,CopySnapshot). - Correlate this enumeration with authentication anomalies or privilege-related findings.
- Look for follow-on actions such as
- Cross-reference
Esql.cloud_account_id_valueswith other alerts for lateral or privilege escalation patterns.
False positive analysis
Legitimate, high-frequency API activity may originate from:
- Inventory or compliance automation: Scripts or tools such as AWS Config, Cloud Custodian, or custom CMDB collection performing periodic Describe/List calls.
- Operational monitoring systems: DevOps pipelines, Terraform, or deployment verifiers enumerating resources.
- Security tooling: Security scanners performing asset discovery across services.
Validate by confirming:
- Whether the
aws.cloudtrail.user_identity.arncorresponds to a documented automation or monitoring identity. - That the observed
Esql.event_action_valuesmatch known inventory or cost-reporting workflows. - Timing alignment with approved maintenance schedules.
Response and remediation
If the activity is unexpected or originates from unrecognized credentials, follow AWS’s incident-handling guidance:
Contain
- Temporarily disable or rotate the access key (
Esql.aws_cloudtrail_user_identity_access_key_id_values) using IAM. - Restrict outbound connectivity for the instance or resource from which the API calls originated.
Investigate
- Retrieve full CloudTrail logs for the actor and
Esql.time_window_date_truncinterval. - Identify any subsequent write or privilege-modification actions.
- Review associated IAM policies for excessive permissions.
Recover and Harden
- Rotate credentials, enforce MFA on human users, and tighten IAM role trust policies.
- Implement AWS Config rules or SCPs to monitor and restrict large-scale enumeration.
Post-Incident Actions
- Document the finding and response in your organization’s IR management system.
- Update detection logic or allow-lists for known benign automation.
- Validate recovery by confirming no new suspicious discovery bursts occur.
Additional information
- AWS Documentation
- AWS Playbook Resources
References
Related rules
- AWS EC2 Deprecated AMI Discovery
- AWS S3 Object Encryption Using External KMS Key
- AWS EC2 Instance Console Login via Assumed Role
- AWS First Occurrence of STS GetFederationToken Request by User
- AWS IAM API Calls via Temporary Session Tokens