← Back to Feed

Incident response guide for AWS CloudTrail investigations – Part 2

September 3, 2026 · AWS Security · Severity: CRITICAL

In Part 1 of this guide, we examined two common incident scenarios: cross-account Amazon Simple Storage Service (Amazon S3) data deletion with ransomware implications, and cryptocurrency mining deployed through AWS CloudFormation using exposed AWS Management Console credentials. We also introduced key incident response terminology and investigative frameworks for analyzing AWS CloudTrail events. In this second part, we explore a more complex, multi-stage attack: how a web application vulnerability can cascade into credential harvesting and unauthorized access to Amazon Bedrock services across multiple AWS Regions.

In Part 1 of this guide, we examined two common incident scenarios: cross-account Amazon Simple Storage Service (Amazon S3) data deletion with ransomware implications, and cryptocurrency mining deployed through AWS CloudFormation using exposed AWS Management Console credentials. We also introduced key incident response terminology and investigative frameworks for analyzing AWS CloudTrail events.

In this second part, we explore a more complex, multi-stage attack: how a web application vulnerability can cascade into credential harvesting and unauthorized access to Amazon Bedrock services across multiple AWS Regions. We also cover additional investigation techniques and hardening steps to strengthen your security posture.

Scenario 3: SSRF to IMDSv1 credential harvesting with multi-Region Amazon Bedrock service misuse

This scenario examines how a web application vulnerability can cascade into a multi-Region event targeting Amazon Bedrock services. The investigation demonstrates how threat actors chain together multiple techniques, using Amazon Elastic Compute Cloud (Amazon EC2) Instance Metadata Service version 1 (IMDSv1) through server-side request forgery (SSRF) and cross-Region pivoting to access Amazon Bedrock.

Your security team receives multiple alerts: failed AWS Identity and Access Management (IAM) operations in the us-east-1 Region, successful console sign-ins without multi-factor authentication (MFA), and unusual Amazon Bedrock API calls from us-east-2. Initially, these might seem like unrelated events across different services and Regions. However, as our Security Incident Response Team (SIRT) discovered, they represent a carefully orchestrated event chain that began with a web application vulnerability and culminated in unauthorized access to your organization’s AI infrastructure.

Architecture and progression

The architecture in figure 1 maps a multi-stage attack that exploits the trust relationship between Amazon Elastic Compute Cloud (Amazon EC2) instances and AWS services. A threat actor identified a server-side request forgery (SSRF) vulnerability in a web application running on an EC2 instance that had an attached webdev IAM role. Rather than attempting to escalate privileges directly, the threat actor used this foothold to reach the Instance Metadata Service version 1 (IMDSv1) endpoint and retrieve the temporary credentials issued to the webdev role. Because IMDSv1 returns credentials in response to a basic request with no session token, an SSRF flaw is enough to harvest them, which is why these credentials became the pivot point for everything that followed. The attack unfolded in five stages. Each stage is numbered in figure 1 so you can follow the progression from the initial web request through to the cross-Region Amazon Bedrock activity:

  1. Initial access: The threat actor exploited the SSRF vulnerability in the web application to make server-side requests on the instance’s behalf.
  2. Credential harvesting: Those requests reached the IMDSv1 endpoint and returned the temporary credentials for the webdev role.
  3. Permission testing: Using the harvested credentials, the threat actor attempted IAM operations to probe the boundaries of what the role could do.
  4. Service pivoting: When IAM actions were denied, the threat actor shifted focus to Amazon Bedrock, a service the role could reach.
  5. Region hopping: The threat actor moved operations from us-east-1 to us-east-2, likely to evade Region-specific monitoring and access controls.
Figure 1: Scenario 3 architecture

Figure 1: Scenario 3 architecture

CloudTrail evidence and structured extractions

In this section, we walk through the CloudTrail evidence that documents the attack from start to finish. Each of the four events that follow maps to one or more stages in the progression described previously, and together they trace how the threat actor moved from harvested credentials to active misuse of Amazon Bedrock. For each event, we present the relevant portion of the CloudTrail log record, highlight the fields that matter most for the investigation, and include a forensic legend that explains what each highlighted field reveals.

We cover the following events:

  1. Permission boundary testing (15:53:49 UTC): A failed CreateUser call in us-east-1 that reveals the compromised role and the IMDSv1 credential source.
  2. Console access establishment (15:59:29 UTC): A successful console sign-in without MFA, showing the pivot from programmatic to interactive access.
  3. Bedrock service reconnaissance (17:20:00 UTC): A ListFoundationModels call in us-east-2 that marks the Region hop and the shift to AI services.
  4. Active model exploitation (17:25:48 UTC): A Converse call that invokes the Amazon Nova Pro model, confirming unauthorized usage.

As you read each event, focus on how the fields connect one stage to the next. The same webdev role, the same source IP address, and the recurring ec2RoleDelivery value are the threads that tie these otherwise separate events into a single attack chain.

Event 1: Permission boundary testing (15:53:49 UTC): The first suspicious activity appeared as a failed CreateUser API call in us-east-1. The CloudTrail log records an AssumedRole session attempting to create an IAM user named adm1n but receiving an AccessDenied error. The webdev role is visible in the userIdentity field, readOnly is false (indicating a write operation attempt), and the user-agent shows AWS Command Line Interface (AWS CLI) on Windows, suggesting programmatic access from the harvested credentials.

{
  "eventVersion": "1.11",
  "userIdentity": {
    "type": "AssumedRole",
    "principalId": "AROAFINDANEXAMPLE:i-0123456789abcdef0",
    "arn": "arn:aws:sts::XXXXXXXXXXXX:assumed-role/webdev/i-0123456789abcdef0",
    "sessionContext": {
      "sessionIssuer": { "type": "Role", "userName": "webdev" },  ◄── ❶ Compromised EC2 role
                                                     ‾‾‾‾‾‾‾‾
      "attributes": { "mfaAuthenticated": "false" }
    },
    "ec2RoleDelivery": "1.0"  ◄── ❷ IMDSv1 confirmed (SSRF exploitation path)
                       ‾‾‾‾‾
  },
  "eventTime": "2025-09-22T15:53:49Z",
  "eventSource": "iam.amazonaws.com",
  "readOnly": false,
  "eventName": "CreateUser",  ◄── ❸ Intent: establish persistent backdoor
               ‾‾‾‾‾‾‾‾‾‾‾‾
  "userAgent": "aws-cli/2.17.48 ua/2.0 os/windows#10 ...",
  "errorCode": "AccessDenied",  ◄── ❺ H

Key Takeaways

  • AWS released an incident response guide for CloudTrail investigations, part of a series on forensic best practices.
  • The guide provides systematic approaches for analyzing CloudTrail logs during security incident investigations.
  • Cloud security teams should adopt these documented procedures to improve incident response capabilities.
☕ Buy a Coffee