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Introduction:
The battlefield of cybersecurity has shifted from the hardened network perimeter to the nebulous realm of cloud identity and configuration. While traditional penetration testing hunts for open ports and software vulnerabilities, modern cloud pentesting targets over-permissive roles, poisoned trust relationships, and the abuse of native services. This represents a fundamental change in tactics, where an attacker’s most powerful tool is often a legitimate API key, not a zero-day exploit.
Learning Objectives:
- Differentiate the core attack surfaces and methodologies of traditional infrastructure versus cloud environment testing.
- Master key techniques for enumerating and exploiting Identity and Access Management (IAM) misconfigurations in major cloud providers.
- Learn to perform stealthy lateral movement through permissions and trust relationships, bypassing traditional network-based detection.
You Should Know:
1. Reconnaissance: Enumerating the Cloud Attack Surface
Traditional pentesting starts with network scanning (e.g., nmap -sV 192.168.1.0/24). Cloud pentesting begins with credential enumeration. The first step is understanding what your initial access token (from a leaked key, compromised VM metadata, etc.) allows you to see and do.
Step-by-Step Guide for AWS:
- Configure AWS CLI: With stolen or provided credentials, run `aws configure` to set the
AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY, and default region. - Enumerate Identity: Identify who you are:
aws sts get-caller-identity. - List Permissions: Discover attached policies and their permissions. Use `aws iam list-attached-user-policies` or `aws iam list-attached-role-policies` for the current identity.
- Enumerate Resources: See what’s in the account. Key commands include:
`aws s3 ls` (List S3 buckets)
`aws ec2 describe-instances` (List EC2 instances)
`aws iam list-users` (List IAM users)
`aws iam list-roles` (List IAM roles)
The Goal: Map all accessible services, users, and roles to identify high-value targets and potential privilege escalation paths. Tools like Pacu (AWS exploitation framework) or Stormspotter (Azure reconnaissance) automate this.
2. Privilege Escalation: Abusing IAM Misconfigurations
In the cloud, privilege escalation is less about kernel exploits and more about finding overly broad permissions or flawed policy logic. A common vector is a role with the `iam:PassRole` permission and the ability to launch a new compute instance (e.g., ec2:RunInstances).
Step-by-Step Guide for AWS Escalation via EC2:
- Discover Vulnerable Permissions: Using the reconnaissance data, identify if your principal can pass a high-privilege role and launch an instance.
- Create Malicious Instance Profile: If you can create a role, make one with admin permissions (
AdministratorAccess). If one exists, note its ARN. - Launch Instance with the Role: Use the AWS CLI to launch an EC2 instance, attaching the high-privilege role to it.
aws ec2 run-instances --image-id ami-0abc123 --instance-type t2.micro --iam-instance-profile Name=HighPrivilegedRole --key-name MyKeyPair
- Access the Instance & Steal Tokens: SSH into the instance and query the Instance Metadata Service (IMDS) to retrieve temporary credentials for the attached role: `curl http://169.254.169.254/latest/meta-data/iam/security-credentials/HighPrivilegedRole/`.
Mitigation: Enforce the principle of least privilege, regularly audit IAM policies using tools like PMapper, and restrict who can pass high-privilege IAM roles.3. Lateral Movement: Pivoting Through Trust Relationships
Cloud lateral movement follows trust, not TCP/IP. Attackers chain permissions across accounts via cross-account roles or within an account through services that can assume other roles.
Step-by-Step Guide for Cross-Account Role Assumption:
1. Discover Trust: From your initial foothold, enumerate roles and examine their trust policies. Look for roles trusted by external accounts: `aws iam list-roles
, thenaws iam get-role –role-name TargetRole`. - Analyze Trust Policy: The role’s trust policy document will specify which principal (e.g.,
"arn:aws:iam::EXTERNAL_ACCOUNT_ID:root") is allowed to assume it. - Assume the Role: If your current principal is in the trusted account, you can assume the role using the Security Token Service (STS):
aws sts assume-role --role-arn arn:aws:iam::TARGET_ACCOUNT_ID:role/TargetRole --role-session-name CrossAccountBreach. - Use New Credentials: Export the returned temporary credentials (
AccessKeyId,SecretAccessKey,SessionToken) to access the target account.
The Goal: Move from a low-privileged position in a development account to a high-privileged position in the production or finance account via misconfigured trust.
4. Persistence & Backdoors: Cloud-Native Techniques
Beyond backdooring binaries, cloud persistence involves manipulating cloud services themselves.
Step-by-Step Guide for Backdooring Lambda (AWS):
- Gain Lambda Update Permissions: Ensure you have `lambda:UpdateFunctionCode` permission.
- Inject Code: Modify a legitimate Lambda function’s code to include a reverse shell or to exfiltrate data from triggered events.
Example: Download and inject a malicious package aws lambda update-function-code --function-name LegitProcessor --zip-file fileb:///tmp/malicious_lambda.zip
- Trigger the Function: The backdoor executes whenever the Lambda is invoked (e.g., by an S3 upload, a scheduled event). This is extremely stealthy and resides within normal operational flow.
Other Methods: Creating new IAM users/keys, adding malicious public keys to EC2 instances, or deploying shadow resources in a different region. -
Stealth & Evasion: Blending In with Legitimate API Traffic
Cloud detection often relies on anomaly detection in CloudTrail (AWS) or Activity Logs (Azure). Attackers must mimic normal patterns.
Step-by-Step Evasion Tactics:
- Use Low-and-Slow Enumeration: Space out API calls (
sleepbetween commands) to avoid triggering “API burst” alerts. - Leverage Native CLIs & SDKs: Tools like the AWS CLI are indistinguishable from admin activity. Avoid using noisy external exploitation frameworks for post-initial access actions.
- Operate from Normal Geographic Locations: If the victim’s admins operate from specific regions, use VPNs or proxies in those same regions to avoid “impossible travel” alerts.
- Understand Normal Baseline: Before an operation, review logs to understand typical API call volumes and service usage patterns, then stay within those bounds.
What Undercode Say:
- Key Takeaway 1: The Root of All Cloud Evil is Over-Permission. A single identity with excessive privileges is a more critical vulnerability than an unpatched, internet-facing server in a well-segmented cloud environment. Continuous IAM auditing is non-negotiable.
- Key Takeaway 2: Detection Must Evolve Beyond Signatures. SOCs can no longer rely solely on malware signatures or exploit patterns. Effective cloud security monitoring requires behavioral analytics focused on identity actions—like a user suddenly enumerating all S3 buckets, assuming roles in unrelated accounts, or a Lambda function making outbound network calls.
The distinction isn’t just academic; it’s operational. Defenders trained on traditional models will miss the subtle, API-driven attacks that define modern cloud breaches. The future of security blue teams lies in mastering IAM policy analysis, cloud log forensics (CloudTrail, Azure Activity Log, GCP Audit Logs), and building detection rules for actions like AssumeRole, SetInstanceMetadata, or UpdateFunctionCode, not just blocked IP addresses. The perimeter is dead; long live the identity boundary.
Prediction:
By 2028, the demand for cloud-native penetration testers who speak the language of IAM, CSPM (Cloud Security Posture Management), and CIEM (Cloud Infrastructure Entitlement Management) will surpass that for traditional network pentesters. Successful attacks will increasingly leverage AI not for crafting exploits, but for intelligently analyzing vast permission sets to automatically generate the most efficient attack path from a single compromised credential, making manual post-exploitation obsolete. The defense will counter with AI-driven policy generation and real-time entitlement correction.
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IT/Security Reporter URL:
Reported By: Michael Eru – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
