Detection rules › Elastic

AWS Potential Cryptomining via ECS Task Definition Deployment

Status
production
Severity
high
Time window
30m
Group by
aws.cloudtrail.user_identity.arn
Author
Elastic
Source
github.com/elastic/detection-rules

Identifies a principal that, within a short window, both registers an Amazon ECS task definition using a public / non-ECR container image at a high CPU allocation (8 or 16 vCPU) AND launches ECS workloads (RunTask, StartTask, or CreateService). Registering a public miner image at maximum compute and then launching it is the ECS/Fargate cryptocurrency-mining deployment pattern seen after credential compromise. Requiring both the mining-signature registration and a launch by the same principal confirms an actual deployment rather than a standalone (possibly benign) task-definition registration, which sharply reduces false positives from high-compute workloads that are merely registered.

Known false positives

  • A principal that legitimately both registers a high-compute public-image task definition and runs ECS workloads in the same window could match (for example, some data-science or batch pipelines). Confirm the image and CPU in "aws.cloudtrail.request_parameters" of the RegisterTaskDefinition event, the launched workload, and whether the principal in "aws.cloudtrail.user_identity.arn" is an expected ECS operator; exclude known principals after validation. The CPU threshold and registry list are tunable in the query.

MITRE ATT&CK coverage

TacticTechniques
Impact

Telemetry coverage

Rules detecting the same action

These rules filter on the same operation.

Rule body

[metadata]
creation_date = "2026/07/08"
integration = ["aws"]
maturity = "production"
updated_date = "2026/07/08"

[rule]
author = ["Elastic"]
description = """
Identifies a principal that, within a short window, both registers an Amazon ECS task definition using a public / non-ECR
container image at a high CPU allocation (8 or 16 vCPU) AND launches ECS workloads (RunTask, StartTask, or CreateService).
Registering a public miner image at maximum compute and then launching it is the ECS/Fargate cryptocurrency-mining
deployment pattern seen after credential compromise. Requiring both the mining-signature registration and a launch by the
same principal confirms an actual deployment rather than a standalone (possibly benign) task-definition registration,
which sharply reduces false positives from high-compute workloads that are merely registered.
"""
false_positives = [
    """
    A principal that legitimately both registers a high-compute public-image task definition and runs ECS workloads in the
    same window could match (for example, some data-science or batch pipelines). Confirm the image and CPU in
    "aws.cloudtrail.request_parameters" of the RegisterTaskDefinition event, the launched workload, and whether the
    principal in "aws.cloudtrail.user_identity.arn" is an expected ECS operator; exclude known principals after validation.
    The CPU threshold and registry list are tunable in the query.
    """,
]
from = "now-30m"
language = "esql"
license = "Elastic License v2"
name = "AWS Potential Cryptomining via ECS Task Definition Deployment"
note = """## Triage and analysis

### Investigating AWS Potential Cryptomining via ECS Task Definition Deployment

Amazon ECS runs containers from images referenced in a task definition. After credential compromise, a common impact action is to abuse ECS/Fargate for cryptomining: the adversary registers a task definition pointing at a public miner image (Docker Hub, GHCR, Quay, or the public ECR gallery) at maximum CPU to maximize hashrate, then launches it at scale via RunTask/CreateService, often across multiple regions.

This rule correlates by principal within the rule window and fires only when the same identity BOTH (a) registers a task definition whose container image comes from a public registry and whose CPU is high (8-16 vCPU), AND (b) launches ECS workloads (RunTask/StartTask/CreateService). Requiring the launch in addition to the mining-signature registration confirms active deployment and distinguishes it from a task definition that is merely registered.

### Possible investigation steps

- Review the RegisterTaskDefinition event's "aws.cloudtrail.request_parameters" for the container image, CPU/memory, and task family, and the launch event(s) for the cluster and desired count.
- Identify the principal in "aws.cloudtrail.user_identity.arn"/"aws.cloudtrail.user_identity.type" and whether it normally operates ECS; review "source.ip"/"source.as.number" and "user_agent.original".
- Correlate with related activity by the same principal: ECS "CreateCluster" (especially in unused regions), new IAM users with administrative policies, and prior reconnaissance.
- Inspect the referenced image and any running containers/tasks and their outbound network connections (mining-pool traffic).

### False positive analysis

- Legitimate batch/data-science workloads may both register a high-compute public-image task definition and run it. Validate the image, workload, and principal, and exclude known-good identities after confirmation.

### Response and remediation

- If unauthorized, stop and delete the launched services/tasks, deregister the task definition, and review other regions for the same activity.
- Investigate the principal for compromise, revoke or rotate its credentials, and review for persistence (new IAM users/policies).
- Restrict ECS task-definition registration and task execution roles, and require images from approved private ECR repositories.
"""
references = [
    "https://securitylabs.datadoghq.com/articles/tales-from-the-cloud-trenches-ecs-crypto-mining/",
    "https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definitions.html",
]
risk_score = 73
rule_id = "3ca27e45-b0cd-417a-914c-d086869acd1b"
setup = "This rule requires AWS CloudTrail logs ingested via the Elastic AWS integration. See https://docs.elastic.co/integrations/aws/cloudtrail for setup details."
severity = "high"
tags = [
    "Domain: Cloud",
    "Data Source: AWS",
    "Data Source: AWS CloudTrail",
    "Data Source: Amazon Web Services",
    "Use Case: Threat Detection",
    "Tactic: Impact",
    "Resources: Investigation Guide",
]
timestamp_override = "event.ingested"
type = "esql"

query = '''
FROM logs-aws.cloudtrail-*
| WHERE event.provider == "ecs.amazonaws.com"
    AND event.action IN ("RegisterTaskDefinition", "RunTask", "StartTask", "CreateService")
| EVAL Esql.miner_register = CASE(
        event.action == "RegisterTaskDefinition"
            AND (aws.cloudtrail.request_parameters RLIKE """.*image=(docker.io|index.docker.io|ghcr.io|quay.io|public.ecr.aws)/.*"""
                OR aws.cloudtrail.request_parameters RLIKE """.*image=[-a-zA-Z0-9_]+(/|[,} :]).*""")
            AND aws.cloudtrail.request_parameters RLIKE """.*cpu=(8192|16384)[,} ].*""", 1, 0),
    Esql.task_run = CASE(event.action IN ("RunTask", "StartTask", "CreateService"), 1, 0)
| STATS Esql.miner_register_sum = SUM(Esql.miner_register), Esql.task_run_sum = SUM(Esql.task_run), Esql.event_count = COUNT(*),
        Esql.cloud_region_count_distinct = COUNT_DISTINCT(cloud.region), Esql.cloud_region_values = VALUES(cloud.region),
        Esql.event_action_values = VALUES(event.action), Esql.source_ip_values = VALUES(source.ip),
        Esql.source_as_number_values = VALUES(source.as.number), Esql.user_agent_original_values = VALUES(user_agent.original),
        Esql.cloud_account_id_values = VALUES(cloud.account.id), Esql.aws_cloudtrail_user_identity_type_values = VALUES(aws.cloudtrail.user_identity.type),
        Esql.timestamp_min = MIN(@timestamp), Esql.timestamp_max = MAX(@timestamp)
        BY aws.cloudtrail.user_identity.arn
| WHERE Esql.miner_register_sum >= 1 AND Esql.task_run_sum >= 1
| KEEP aws.*, Esql.aws_cloudtrail_user_identity_type_values, Esql.miner_register_sum, Esql.task_run_sum, Esql.event_count, Esql.cloud_region_count_distinct, Esql.cloud_region_values, Esql.event_action_values, Esql.source_ip_values, Esql.source_as_number_values, Esql.user_agent_original_values, Esql.cloud_account_id_values, Esql.timestamp_min, Esql.timestamp_max
'''

[rule.investigation_fields]
field_names = [
    "aws.cloudtrail.user_identity.arn",
    "Esql.aws_cloudtrail_user_identity_type_values",
    "Esql.miner_register_sum",
    "Esql.task_run_sum",
    "Esql.event_count",
    "Esql.cloud_region_count_distinct",
    "Esql.cloud_region_values",
    "Esql.event_action_values",
    "Esql.source_ip_values",
    "Esql.source_as_number_values",
    "Esql.user_agent_original_values",
    "Esql.cloud_account_id_values",
    "Esql.timestamp_min",
    "Esql.timestamp_max",
]


[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1496"
name = "Resource Hijacking"
reference = "https://attack.mitre.org/techniques/T1496/"

[rule.threat.tactic]
id = "TA0040"
name = "Impact"
reference = "https://attack.mitre.org/tactics/TA0040/"

Stages and Predicates

Stage 1: from

FROM logs-aws.cloudtrail-*

Stage 2: where

| WHERE event.provider == "ecs.amazonaws.com"
    AND event.action IN ("RegisterTaskDefinition", "RunTask", "StartTask", "CreateService")

Stage 3: eval

| EVAL Esql.miner_register = CASE(
        event.action == "RegisterTaskDefinition"
            AND (aws.cloudtrail.request_parameters RLIKE """.*image=(docker.io|index.docker.io|ghcr.io|quay.io|public.ecr.aws)/.*"""
                OR aws.cloudtrail.request_parameters RLIKE """.*image=[-a-zA-Z0-9_]+(/|[,} :]).*""")
            AND aws.cloudtrail.request_parameters RLIKE """.*cpu=(8192|16384)[,} ].*""", 1, 0),
    Esql.task_run = CASE(event.action IN ("RunTask", "StartTask", "CreateService"), 1, 0)
Esql.miner_register =
ifevent.action == "RegisterTaskDefinition" AND (aws.cloudtrail.request_parameters RLIKE """.*image=(docker.io|index.docker.io|ghcr.io|quay.io|public.ecr.aws)/.*""" OR aws.cloudtrail.request_parameters RLIKE """.*image=[-a-zA-Z0-9_]+(/|[,} :]).*""") AND aws.cloudtrail.request_parameters RLIKE """.*cpu=(8192|16384)[,} ].*"""1
else0
Esql.task_run =
ifevent.action IN ("RunTask", "StartTask", "CreateService")1
else0

Stage 4: stats

| STATS Esql.miner_register_sum = SUM(Esql.miner_register), Esql.task_run_sum = SUM(Esql.task_run), Esql.event_count = COUNT(*),
        Esql.cloud_region_count_distinct = COUNT_DISTINCT(cloud.region), Esql.cloud_region_values = VALUES(cloud.region),
        Esql.event_action_values = VALUES(event.action), Esql.source_ip_values = VALUES(source.ip),
        Esql.source_as_number_values = VALUES(source.as.number), Esql.user_agent_original_values = VALUES(user_agent.original),
        Esql.cloud_account_id_values = VALUES(cloud.account.id), Esql.aws_cloudtrail_user_identity_type_values = VALUES(aws.cloudtrail.user_identity.type),
        Esql.timestamp_min = MIN(@timestamp), Esql.timestamp_max = MAX(@timestamp)
        BY aws.cloudtrail.user_identity.arn

Stage 5: where

| WHERE Esql.miner_register_sum >= 1 AND Esql.task_run_sum >= 1

Stage 6: keep

| KEEP aws.*, Esql.aws_cloudtrail_user_identity_type_values, Esql.miner_register_sum, Esql.task_run_sum, Esql.event_count, Esql.cloud_region_count_distinct, Esql.cloud_region_values, Esql.event_action_values, Esql.source_ip_values, Esql.source_as_number_values, Esql.user_agent_original_values, Esql.cloud_account_id_values, Esql.timestamp_min, Esql.timestamp_max

Indicators

These rows show field, operator, and value matches.

Output fields

These fields are emitted when the rule matches.

FieldSource
aws.*KEEP aws.*
Esql.aws_cloudtrail_user_identity_type_valuesKEEP Esql.aws_cloudtrail_user_identity_type_values
Esql.miner_register_sumKEEP Esql.miner_register_sum
Esql.task_run_sumKEEP Esql.task_run_sum
Esql.event_countKEEP Esql.event_count
Esql.cloud_region_count_distinctKEEP Esql.cloud_region_count_distinct
Esql.cloud_region_valuesKEEP Esql.cloud_region_values
Esql.event_action_valuesKEEP Esql.event_action_values
Esql.source_ip_valuesKEEP Esql.source_ip_values
Esql.source_as_number_valuesKEEP Esql.source_as_number_values
Esql.user_agent_original_valuesKEEP Esql.user_agent_original_values
Esql.cloud_account_id_valuesKEEP Esql.cloud_account_id_values
Esql.timestamp_minKEEP Esql.timestamp_min
Esql.timestamp_maxKEEP Esql.timestamp_max