Unmask Your AWS Admin Hijackers: How One Open-Source Tool Exposes Every Privilege Escalation Path You’ve Missed + Video

By /

Listen to this Post

Featured Image

Introduction:

In the complex labyrinth of AWS Identity and Access Management (IAM), a single misconfigured policy can serve as a secret passage for attackers, allowing them to escalate limited privileges into full administrative control. Heimdall, an open-source AWS security scanner, automates the discovery of these critical privilege escalation vectors, performing offensive security research to defend your cloud environment proactively. This tool transforms the attacker’s methodology into a defender’s checklist, systematically uncovering the chained permissions that could lead to a catastrophic breach.

Learning Objectives:

  • Understand the critical risk of privilege escalation in AWS IAM and how attackers exploit permission relationships.
  • Learn to deploy and configure the Heimdall scanner to audit your AWS accounts for dangerous permission paths.
  • Gain actionable steps to interpret findings and harden your IAM policies based on the tool’s security research-backed analysis.

You Should Know:

1. The Anatomy of an AWS Privilege Escalation

Privilege escalation in AWS is rarely about finding one powerful permission. Instead, attackers chain together seemingly innocent permissions to achieve a greater effect. For example, the ability to `iam:PassRole` and `lambda:CreateFunction` might allow an attacker to create a Lambda function executing with a high-privilege role. Heimdall’s engine is built upon known escalation patterns, mapping the complex graph of IAM actions, resources, and condition keys.

Step‑by‑step guide:

Heimdall operates by assuming a set of credentials (e.g., for a low-privilege user or role you wish to test) and then simulating API calls to discover if a higher-privilege state is reachable.
1. Prerequisite: AWS CLI & Credentials Setup. Ensure you have the AWS CLI configured with the profile you intend to test.

 Configure a profile (e.g., for a "test-user")
aws configure --profile test-user
 Set Access Key, Secret Key, and Region.

2. Understand the Test Principle. Heimdall will use these credentials to make thousands of simulated API calls. It does not perform destructive actions, but it does make read-only and “dry-run” calls to discover possibilities.

2. Deploying Heimdall in Your Security Pipeline

Heimdall is a Python-based tool, making it suitable for integration into CI/CD pipelines, nightly security scans, or manual penetration testing engagements. Installation is straightforward via pip.

Step‑by‑step guide:

1. Installation.

 Install directly from the GitHub repository via pip.
pip install git+https://github.com/DenizParlak/Heimdall

2. Basic Execution. Run a scan against the AWS account associated with your configured profile.

heimdall --profile test-user --output results.json

3. Pipeline Integration (Example). For automated scanning, you can run Heimdall in a Docker container or a GitHub Actions step, storing outputs to a secure location for review.

3. Interpreting Critical Findings: From JSON to Action

Heimdall’s output is a detailed JSON file listing discovered escalation paths, each with a severity rating, description, and the chain of required permissions. The real skill lies in interpreting these findings.

Step‑by‑step guide:

  1. Review the Summary. Look for high and critical severity findings first, such as “iam:PassRole to lambda:CreateFunction” or “iam:CreatePolicyVersion.”
  2. Analyze a Finding’s Path. A finding will detail the sequence:
    Initial Permissions: What the tested identity already has (e.g., `iam:PassRole` on “).
    Exploitable Permissions: The permissions that can be abused (e.g., lambda:CreateFunction).
    Target Permissions: The ultimate privileged permission achieved (e.g., administratorAccess).
  3. Translate to IAM Policy Review. Use this data to locate the overly permissive policy attached to the tested identity in the IAM Console or via CLI: 
    aws iam list-attached-user-policies --user-name test-user --profile test-user
aws iam get-policy-version --policy-arn <policy_arn> --version-id <version>

4. Hardening IAM: Mitigating Discovered Escalation Paths

Merely finding the paths is useless without remediation. The core mitigation is adhering to the Principle of Least Privilege (PoLP).

Step‑by‑step guide:

  1. Replace Wildcards (“). The most common root cause. Restrict resources in policy statements.

Bad: `”Resource”: “”`

Good: `”Resource”: “arn:aws:iam::123456789012:role/AllowedRole”`

  1. Implement Conditional Keys. Use conditions like `iam:PassedToService` to restrict where a role can be passed. 
    "Condition": {
"StringEquals": {"iam:PassedToService": "lambda.amazonaws.com"}
}
  2. Use Permission Boundaries. Apply permission boundaries to users/roles, especially for developers, to create a hard limit on the maximum permissions they can ever have, even if their direct policies are misconfigured.

5. Advanced Configuration: Scanning Organizations & Using Assume-Role

For a Cloud Security Architect, scanning a single account is insufficient. Heimdall can be configured to traverse an AWS Organization.

Step‑by‑step guide:

  1. Assume a Role Across Accounts. Configure Heimdall to assume a designated “security-audit” role in multiple member accounts. 
    heimdall --profile security-audit-role --accounts 123456789012 234567890123
  2. Leverage AWS Organizations API. Write a wrapper script that uses the AWS Organizations `list-accounts` API to dynamically generate the account list for Heimdall to scan.
  3. Centralize Logging. Ensure all Heimdall scan results are sent to a central security account’s S3 bucket and logged in CloudTrail for audit purposes.

6. Proactive Defense: Integrating with CNAPP and SIEM

Heimdall is a point-in-time scanner. For continuous defense, integrate its philosophy into your Cloud-Native Application Protection Platform (CNAPP) and Security Information and Event Management (SIEM) workflows.

Step‑by‑step guide:

  1. Feed Findings into SIEM. Convert the JSON output to a format ingestible by your SIEM (e.g., Amazon Security Hub, Splunk). This creates a trackable security finding.
  2. Create Detective Guardrails. Use the escalation patterns Heimdall checks for to write custom rules in AWS Config or your CNAPP. For instance, trigger an alert on any `CreatePolicyVersion` API call.
  3. Schedule Regular Scans. Automate Heimdall to run weekly or upon any major IAM policy change, treating it as a vital part of your compliance checklist.

  4. Beyond the Tool: Cultivating a Security-First IAM Mindset
    Tools automate detection, but culture prevents issues. Shift-left security by educating developers on secure IAM policy authoring.

Step‑by‑step guide:

  1. Implement Policy Validation. Use AWS IAM Access Analyzer policy validation in CI/CD before deployment. 
    aws accessanalyzer validate-policy --policy-document file://policy.json --policy-type IDENTITY_POLICY
  2. Conduct Red Team Exercises. Regularly have security personnel use tools like Heimdall, Pacu, or Stratus Red Team to test your environments, simulating a persistent attacker.
  3. Review and Rotate. Conduct mandatory quarterly IAM reviews and ensure credentials are regularly rotated to minimize the window of opportunity for any exploited path.

What Undercode Say:

  • Proactive Escalation Path Hunting is Non-Negotiable. Waiting for anomalous API calls in logs means the attacker is already in. Preemptively discovering and closing escalation paths is a critical layer of modern cloud security.
  • Automation Bridges the Security Gap. The complexity of AWS IAM makes manual review untenable. Tools like Heimdall encapsulate advanced offensive security knowledge, democratizing the ability to perform deep, attacker-style audits for defensive teams.

The emergence of specialized, open-source tools like Heimdall signals a maturation in cloud security. It moves the community beyond basic compliance checks (“no S3 buckets are public”) into the nuanced realm of adversarial simulation. This tool doesn’t just find misconfigurations; it reveals the narrative of an attack before it’s written. However, it is a scanner, not a silver bullet. Its value is entirely dependent on the security team’s commitment to act on its findings, to refine policies continuously, and to integrate its logic into a broader, resilient security architecture that includes vigilant monitoring, robust incident response, and ongoing security education.

Prediction:

Within the next two years, the core functionality of tools like Heimdall will become a standard, baked-in module within every major CNAPP and cloud provider’s native security hub. The manual “scan-and-review” process will evolve into real-time, AI-assisted policy authoring that predicts and prevents escalation paths at the moment of creation. Furthermore, we will see a rise in “IAM Posture Management” as a dedicated security category, focusing exclusively on the continuous assessment and hardening of identity permissions, driven by the relentless automation of offensive security research. The cloud security battleground has decisively shifted from the network perimeter to the identity layer, and the tools are rapidly adapting to fight this new war.

▶️ Related Video (76% Match):

🎯Let’s Practice For Free:

IT/Security Reporter URL:

Reported By: Lior Margel – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

🔐JOIN OUR CYBER WORLD [ CVE News • HackMonitor • UndercodeNews ]

💬 Whatsapp | 💬 Telegram

📢 Follow UndercodeTesting & Stay Tuned:

𝕏 formerly Twitter 🐦 | @ Threads | 🔗 Linkedin | 🦋BlueSky

Related Posts: