← Back to Explore
elasticmediumTTP
AWS S3 Static Site JavaScript File Uploaded
This rule detects when a JavaScript file is uploaded in an S3 static site directory (`static/js/`) by an IAM user or assumed role. This can indicate suspicious modification of web content hosted on S3, such as injecting malicious scripts into a static website frontend.
Detection Query
from logs-aws.cloudtrail* metadata _id, _version, _index
| where
// S3 object write activity
data_stream.dataset == "aws.cloudtrail"
and event.provider == "s3.amazonaws.com"
and event.action == "PutObject"
and event.outcome == "success"
// IAM users or assumed roles only
and aws.cloudtrail.user_identity.type in ("IAMUser", "AssumedRole")
// Requests for static site bundles
and aws.cloudtrail.request_parameters like "*static/js/*.js*"
// Exclude IaC and automation tools
and not (
user_agent.original like "*Terraform*"
or user_agent.original like "*Ansible*"
or user_agent.original like "*Pulumi*"
)
// Extract fields from request parameters
| dissect aws.cloudtrail.request_parameters
"%{{?bucket.name.key}=%{Esql.aws_cloudtrail_request_parameters_bucket_name}, %{?host.key}=%{Esql_priv.aws_cloudtrail_request_parameters_host}, %{?bucket.object.location.key}=%{Esql.aws_cloudtrail_request_parameters_bucket_object_location}}"
// Extract file name portion from full object path
| dissect Esql.aws_cloudtrail_request_parameters_bucket_object_location "%{}static/js/%{Esql.aws_cloudtrail_request_parameters_object_key}"
// Match on JavaScript files
| where ends_with(Esql.aws_cloudtrail_request_parameters_object_key, ".js")
// Retain relevant ECS and dissected fields
| keep
aws.cloudtrail.user_identity.arn,
aws.cloudtrail.user_identity.access_key_id,
aws.cloudtrail.user_identity.type,
aws.cloudtrail.request_parameters,
Esql.aws_cloudtrail_request_parameters_bucket_name,
Esql.aws_cloudtrail_request_parameters_object_key,
user_agent.original,
source.ip,
event.action,
@timestamp,
_id,
_version,
_index
Author
Elastic
Created
2025/04/15
Data Sources
AWSAmazon Web ServicesAWS S3
References
Tags
Domain: CloudData Source: AWSData Source: Amazon Web ServicesData Source: AWS S3Tactic: ImpactUse Case: Web Application CompromiseUse Case: Cloud Threat DetectionResources: Investigation Guide
Raw Content
[metadata]
creation_date = "2025/04/15"
integration = ["aws"]
maturity = "production"
updated_date = "2026/04/10"
[rule]
author = ["Elastic"]
description = """
This rule detects when a JavaScript file is uploaded in an S3 static site directory (`static/js/`) by an IAM
user or assumed role. This can indicate suspicious modification of web content hosted on S3, such as injecting malicious
scripts into a static website frontend.
"""
false_positives = [
"""
Development or deployment pipelines that update static frontends frequently (e.g., React/Vue apps) may trigger this.
Verify the user agent, source IP, and whether the modification was expected.
""",
]
from = "now-6m"
language = "esql"
license = "Elastic License v2"
name = "AWS S3 Static Site JavaScript File Uploaded"
note = """## Triage and Analysis
### Investigating AWS S3 Static Site JavaScript File Uploaded
An S3 `PutObject` action that targets a path like `static/js/` and uploads a `.js` file is a potential signal for web content modification. If done by an unexpected IAM user or outside of CI/CD workflows, it may indicate a compromise.
#### Possible Investigation Steps
- **Identify the Source User**: Check `aws.cloudtrail.user_identity.arn`, access key ID, and session type (`IAMUser`, `AssumedRole`, etc).
- **Review File Content**: Use the S3 `GetObject` or CloudTrail `requestParameters` to inspect the uploaded file for signs of obfuscation or injection.
- **Correlate to Other Events**: Review events from the same IAM user before and after the upload (e.g., `ListBuckets`, `GetCallerIdentity`, IAM activity).
- **Look for Multiple Uploads**: Attackers may attempt to upload several files or modify multiple directories.
### False Positive Analysis
- This behavior may be expected during app deployments. Look at:
- The `user_agent.original` to detect legitimate CI tools (like Terraform or GitHub Actions).
- Timing patterns—does this match a regular release window?
- The origin IP and device identity.
### Response and Remediation
- **Revert Malicious Code**: Replace the uploaded JS file with a clean version and invalidate CloudFront cache if applicable.
- **Revoke Access**: If compromise is confirmed, revoke the IAM credentials and disable the user.
- **Audit IAM Policies**: Ensure that only deployment users can modify static site buckets.
- **Enable Bucket Versioning**: This can allow for quick rollback and historical review.
"""
references = [
"https://www.sygnia.co/blog/sygnia-investigation-bybit-hack/",
"https://docs.aws.amazon.com/AmazonS3/latest/userguide/WebsiteHosting.html",
"https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutObject.html",
]
risk_score = 47
rule_id = "16acac42-b2f9-4802-9290-d6c30914db6e"
severity = "medium"
tags = [
"Domain: Cloud",
"Data Source: AWS",
"Data Source: Amazon Web Services",
"Data Source: AWS S3",
"Tactic: Impact",
"Use Case: Web Application Compromise",
"Use Case: Cloud Threat Detection",
"Resources: Investigation Guide",
]
timestamp_override = "event.ingested"
type = "esql"
query = '''
from logs-aws.cloudtrail* metadata _id, _version, _index
| where
// S3 object write activity
data_stream.dataset == "aws.cloudtrail"
and event.provider == "s3.amazonaws.com"
and event.action == "PutObject"
and event.outcome == "success"
// IAM users or assumed roles only
and aws.cloudtrail.user_identity.type in ("IAMUser", "AssumedRole")
// Requests for static site bundles
and aws.cloudtrail.request_parameters like "*static/js/*.js*"
// Exclude IaC and automation tools
and not (
user_agent.original like "*Terraform*"
or user_agent.original like "*Ansible*"
or user_agent.original like "*Pulumi*"
)
// Extract fields from request parameters
| dissect aws.cloudtrail.request_parameters
"%{{?bucket.name.key}=%{Esql.aws_cloudtrail_request_parameters_bucket_name}, %{?host.key}=%{Esql_priv.aws_cloudtrail_request_parameters_host}, %{?bucket.object.location.key}=%{Esql.aws_cloudtrail_request_parameters_bucket_object_location}}"
// Extract file name portion from full object path
| dissect Esql.aws_cloudtrail_request_parameters_bucket_object_location "%{}static/js/%{Esql.aws_cloudtrail_request_parameters_object_key}"
// Match on JavaScript files
| where ends_with(Esql.aws_cloudtrail_request_parameters_object_key, ".js")
// Retain relevant ECS and dissected fields
| keep
aws.cloudtrail.user_identity.arn,
aws.cloudtrail.user_identity.access_key_id,
aws.cloudtrail.user_identity.type,
aws.cloudtrail.request_parameters,
Esql.aws_cloudtrail_request_parameters_bucket_name,
Esql.aws_cloudtrail_request_parameters_object_key,
user_agent.original,
source.ip,
event.action,
@timestamp,
_id,
_version,
_index
'''
[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1491"
name = "Defacement"
reference = "https://attack.mitre.org/techniques/T1491/"
[[rule.threat.technique.subtechnique]]
id = "T1491.002"
name = "External Defacement"
reference = "https://attack.mitre.org/techniques/T1491/002/"
[[rule.threat.technique]]
id = "T1565"
name = "Data Manipulation"
reference = "https://attack.mitre.org/techniques/T1565/"
[[rule.threat.technique.subtechnique]]
id = "T1565.001"
name = "Stored Data Manipulation"
reference = "https://attack.mitre.org/techniques/T1565/001/"
[rule.threat.tactic]
id = "TA0040"
name = "Impact"
reference = "https://attack.mitre.org/tactics/TA0040/"
[rule.investigation_fields]
field_names = [
"@timestamp",
"user.name",
"user_agent.original",
"source.ip",
"aws.cloudtrail.user_identity.arn",
"aws.cloudtrail.user_identity.type",
"aws.cloudtrail.user_identity.access_key_id",
"aws.cloudtrail.resources.arn",
"aws.cloudtrail.resources.type",
"event.action",
"event.outcome",
"cloud.account.id",
"cloud.region",
"aws.cloudtrail.request_parameters",
"aws.cloudtrail.response_elements"
]