AWS S3 Delete Object Detection


Description

This rule detects when many objects are deleted from an S3 bucket. Such actions can be indicative of unauthorized data deletion or other suspicious activities.

Query · python

from panther_aws_helpers import aws_cloudtrail_success, aws_rule_context


def rule(event):
    return (
        aws_cloudtrail_success(event)
        and event.get("eventSource") == "s3.amazonaws.com"
        and event.get("eventName") == "DeleteObject"
    )


def title(event):
    return (
        f"[AWS.CloudTrail] User [{event.udm('actor_user')}] "
        f"deleted many items from the "
        f"[{event.deep_get('requestParameters', 'bucketName')}] bucket"
    )


def alert_context(event):
    context = aws_rule_context(event)
    context["bucketName"] = event.deep_get(
        "requestParameters", "bucketName", default="<UNKNOWN_BUCKET>"
    )
    return context

Analyst notes

Investigate the user and the actions performed on the S3 bucket to ensure they were authorized. Unauthorized deletions can lead to data loss. Steps to investigate: 1. Identify the user who performed the action. 2. Verify if the action was authorized. 3. Check for any other suspicious activities performed by the same user. 4. If unauthorized, take necessary actions to secure the S3 bucket and prevent further unauthorized access.

Raw source AWS S3 Delete Object Detection · Panther Python
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Published by panther-labs/panther-analysis ↗, licensed under Apache 2.0 ↗. Reproduced here unmodified.
AnalysisType: rule
DedupPeriodMinutes: 60
DisplayName: AWS S3 Delete Object Detection
Enabled: true
Filename: aws_s3_delete_object.py
RuleID: "AWS.S3.DeleteObject"
Threshold: 50
Severity: Info
LogTypes:
  - AWS.CloudTrail
Tags:
  - AWS
  - S3
  - CloudTrail
Reports:
  Stratus Red Team:
    - aws.impact.s3-ransomware-batch-deletion
    - aws.impact.s3-ransomware-client-side-encryption
    - aws.impact.s3-ransomware-individual-deletion
Description: >
  This rule detects when many objects are deleted from an S3 bucket. Such actions can be indicative of unauthorized data deletion or other suspicious activities.
Runbook: |
  Investigate the user and the actions performed on the S3 bucket to ensure they were authorized. Unauthorized deletions can lead to data loss.
  Steps to investigate:
  1. Identify the user who performed the action.
  2. Verify if the action was authorized.
  3. Check for any other suspicious activities performed by the same user.
  4. If unauthorized, take necessary actions to secure the S3 bucket and prevent further unauthorized access.
Reference: https://docs.aws.amazon.com/AmazonS3/latest/userguide/delete-objects.html
Tests:
  - Name: DeleteObject
    LogType: AWS.CloudTrail
    ExpectedResult: true
    Log:
      {
        "eventVersion": "1.08",
        "userIdentity": {
          "type": "IAMUser",
          "principalId": "EXAMPLE",
          "arn": "arn:aws:iam::123456789012:user/Alice",
          "accountId": "123456789012",
          "accessKeyId": "EXAMPLEKEY",
          "userName": "Alice"
        },
        "eventTime": "2023-10-01T12:34:56Z",
        "eventSource": "s3.amazonaws.com",
        "eventName": "DeleteObject",
        "awsRegion": "us-east-1",
        "sourceIPAddress": "192.0.2.0",
        "userAgent": "aws-sdk-go/1.15.12 (go1.12.6; linux; amd64)",
        "requestParameters": {
          "bucketName": "example-bucket",
          "key": "example-object"
        },
        "responseElements": null,
        "additionalEventData": {
          "SignatureVersion": "SigV4",
          "CipherSuite": "ECDHE-RSA-AES128-GCM-SHA256",
          "bytesTransferredIn": 0,
          "bytesTransferredOut": 0
        },
        "requestID": "EXAMPLE123456789",
        "eventID": "EXAMPLE-1234-5678-9012-EXAMPLE",
        "readOnly": false,
        "resources": [
          {
            "type": "AWS::S3::Object",
            "ARN": "arn:aws:s3:::example-bucket/example-object"
          }
        ],
        "eventType": "AwsApiCall",
        "managementEvent": false,
        "recipientAccountId": "123456789012",
        "sharedEventID": "EXAMPLE-1234-5678-9012-EXAMPLE",
        "vpcEndpointId": "vpce-1a2b3c4d"
      }
  - Name: Other Event
    LogType: AWS.CloudTrail
    ExpectedResult: false
    Log:
      {
        "eventVersion": "1.08",
        "userIdentity": {
          "type": "IAMUser",
          "principalId": "EXAMPLE",
          "arn": "arn:aws:iam::123456789012:user/Bob",
          "accountId": "123456789012",
          "accessKeyId": "EXAMPLEKEY",
          "userName": "Bob"
        },
        "eventTime": "2023-10-01T12:34:56Z",
        "eventSource": "s3.amazonaws.com",
        "eventName": "ListBucket",
        "awsRegion": "us-east-1",
        "sourceIPAddress": "192.0.2.0",
        "userAgent": "aws-sdk-go/1.15.12 (go1.12.6; linux; amd64)",
        "requestParameters": {
          "bucketName": "example-bucket"
        },
        "responseElements": null,
        "additionalEventData": {
          "SignatureVersion": "SigV4",
          "CipherSuite": "ECDHE-RSA-AES128-GCM-SHA256",
          "bytesTransferredIn": 0,
          "bytesTransferredOut": 0
        },
        "requestID": "EXAMPLE123456789",
        "eventID": "EXAMPLE-1234-5678-9012-EXAMPLE",
        "readOnly": true,
        "resources": [
          {
            "type": "AWS::S3::Bucket",
            "ARN": "arn:aws:s3:::example-bucket"
          }
        ],
        "eventType": "AwsApiCall",
        "managementEvent": false,
        "recipientAccountId": "123456789012",
        "sharedEventID": "EXAMPLE-1234-5678-9012-EXAMPLE",
        "vpcEndpointId": "vpce-1a2b3c4d"
      }

# ------ paired body: aws_s3_delete_object.py ------

from panther_aws_helpers import aws_cloudtrail_success, aws_rule_context


def rule(event):
    return (
        aws_cloudtrail_success(event)
        and event.get("eventSource") == "s3.amazonaws.com"
        and event.get("eventName") == "DeleteObject"
    )


def title(event):
    return (
        f"[AWS.CloudTrail] User [{event.udm('actor_user')}] "
        f"deleted many items from the "
        f"[{event.deep_get('requestParameters', 'bucketName')}] bucket"
    )


def alert_context(event):
    context = aws_rule_context(event)
    context["bucketName"] = event.deep_get(
        "requestParameters", "bucketName", default="<UNKNOWN_BUCKET>"
    )
    return context

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