Live
Consolidating DevSecOps on Red Hat OpenShift to Cut Tool‑SprawlFull‑Vehicle Simulation on Google Cloud: Architecture and Ops for Software‑Defined VehiclesMCP Apps in Gemini: Practical Architecture and Ops Guide for EngineersTyped Extraction Model Clairic Now Available on Workers AIDeepSeek V4.1 Flash 1017 on Workers AI – Practical Implications for EngineersSageMaker JumpStart Model Expansion: What Engineers Need to KnowBottom‑up containers close the distroless security gapTemporary Git HTTPS Auth Requirement Impacts Automated ClonesConsolidating DevSecOps on Red Hat OpenShift to Cut Tool‑SprawlFull‑Vehicle Simulation on Google Cloud: Architecture and Ops for Software‑Defined VehiclesMCP Apps in Gemini: Practical Architecture and Ops Guide for EngineersTyped Extraction Model Clairic Now Available on Workers AIDeepSeek V4.1 Flash 1017 on Workers AI – Practical Implications for EngineersSageMaker JumpStart Model Expansion: What Engineers Need to KnowBottom‑up containers close the distroless security gapTemporary Git HTTPS Auth Requirement Impacts Automated Clones
AWS

SSRF Credential Harvesting via IMDSv1 Enables Multi‑Region Bedrock Abuse

AI SummaryPowered by AI

A web‑app SSRF was used to call IMDSv1, harvest temporary credentials and misuse Amazon Bedrock across regions. This highlights the need for IMDSv2, tighter IAM roles, MFA enforcement, and cross‑Region monitoring for engineers and security teams.

What changed? A web‑application SSRF flaw was used to call the EC2 Instance Metadata Service version 1 (IMDSv1) on an instance running with the webdev IAM role, allowing an attacker to retrieve temporary credentials and then abuse Amazon Bedrock from a different AWS Region. Why it matters is that the same short‑lived credentials can be leveraged to bypass regional monitoring, perform unauthorized Bedrock API calls, and expose gaps in IAM, MFA, and metadata service configurations that affect AI, platform, and DevOps teams.

Attack Flow Overview

The guide breaks the incident into five sequential steps:

  1. Initial access: SSRF in a web app hosted on an EC2 instance sends a request to the local IMDSv1 endpoint.
  2. Credential harvesting: IMDSv1 returns the temporary access key, secret key, and session token for the webdev role without requiring a session token in the request.
  3. Permission testing: The harvested credentials are used to issue IAM operations, which generate failure alerts in the us-east-1 Region.
  4. Service pivoting: When IAM actions are denied, the attacker switches to Amazon Bedrock, a service the role can reach.
  5. Region hopping: Bedrock API calls are issued from us-east-2, creating a cross‑Region footprint that evades region‑specific alerts.

CloudTrail Signals to Watch

CloudTrail logs captured the following observable events:

  • Failed IAM API calls originating in us-east-1.
  • Successful console sign‑ins without multi‑factor authentication (MFA).
  • Unexpected Amazon Bedrock API activity recorded in us-east-2.

Each of these entries maps to one or more stages of the attack, providing a timeline that can be reconstructed from the trail.

Mitigation and Hardening Steps

Practitioners can address the identified gaps without altering application logic:

  • Enforce IMDSv2: Require the newer metadata service that mandates a session token, eliminating the SSRF‑to‑credential path.
  • Scope IAM role permissions: Review the webdev role policy to ensure it only grants the minimum actions needed for the application.
  • Enable MFA for console access: Require MFA for all privileged sign‑ins to reduce the impact of credential leakage.
  • Cross‑Region monitoring: Correlate CloudTrail events across Regions to detect sudden service usage shifts, especially for AI services like Bedrock.
  • Alert on failed IAM calls: Treat repeated IAM denials as potential reconnaissance and trigger investigation workflows.

Related CloudNinjas coverage: AWS.

What This Means For Practitioners

SSRF combined with IMDSv1 creates a direct path from a vulnerable web front‑end to cloud‑wide credentials. Teams responsible for AI workloads, platform services, or DevOps pipelines should verify that all EC2 instances run IMDSv2, audit role scopes, and tighten console authentication. Additionally, extend logging and alerting to span multiple Regions so that a pivot to services such as Amazon Bedrock cannot hide behind geographic boundaries.

Originally published atAWS Security Blog