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Introduction:
Identity and Access Management (IAM) is the bedrock of cloud security, but poorly scoped roles, excessive privileges, and overlooked service accounts create silent backdoors. In a recent SOC-sharing post by Tolga Yildiz (source: [LinkedIn post](https://www.linkedin.com/posts/iamtolgayildiz_cybersecurity-infosec-soc-share-7467528328560852992-Q0Sa/)), the focus was on how attackers exploit weak IAM policies to move laterally and escalate privileges. This article extracts key technical lessons from that discussion and adds hands-on commands, mitigation steps, and training paths for blue teams.
Learning Objectives:
– Identify and remediate dangerous IAM misconfigurations in AWS, Azure, and GCP.
– Simulate privilege escalation attacks using open-source tools and CLI commands.
– Implement least privilege and continuous monitoring with SIEM and cloud-1ative logs.
You Should Know:
1. Detecting Over‑Permissive IAM Roles with Cloud CLI Tools
Overly broad policies like `”Action”: “”` or `”Resource”: “”` are gold for attackers. The post emphasized scanning for these using native cloud CLIs and open-source scanners.
Step‑by‑step guide (AWS example):
– List all IAM users and attached policies (Linux/macOS):
`aws iam list-users –query ‘Users[].UserName’ –output text | xargs -I {} aws iam list-attached-user-policies –user-1ame {}`
Windows (PowerShell equivalent):
`Get-IAMUserList | ForEach-Object { Get-IAMAttachedUserPolicies -UserName $_ }`
– Find wildcard actions using `jq`:
`aws iam list-policies –scope Local –query ‘Policies[].Arn’ –output text | while read arn; do aws iam get-policy-version –policy-arn $arn –version-id $(aws iam get-policy –policy-arn $arn –query ‘Policy.DefaultVersionId’ –output text) | jq ‘.PolicyVersion.Document.Statement[] | select(.Action == “” or .Action[]? == “”)’ ; done`
– Use open-source tool `PMapper` to visualize privilege escalation paths:
`git clone https://github.com/nccgroup/PMapper.git && cd PMapper && python3 setup.py install`
`pmapper –account my-aws-account –create-graph –output graph.json`
`pmapper –account my-aws-account –display`
Mitigation: Replace wildcards with explicit actions/resources. Enforce AWS Access Analyzer or Azure AD entitlement management.
2. Exploiting Unused IAM Keys (And How to Hunt Them)
Attackers love stale access keys. The LinkedIn post shared a real SOC alert where a 2‑year‑old key was used to launch crypto miners. Here’s how to replicate the detection and the fix.
Step‑by‑step guide:
– Find keys older than 90 days in AWS (Linux):
`aws iam list-users –query ‘Users[].UserName’ –output text | while read user; do aws iam list-access-keys –user-1ame $user –query ‘AccessKeyMetadata[?CreateDate<`'$(date -d '90 days ago' --iso-8601=seconds)'`']'; done`
- Simulate attacker using a leaked key (after rotating it first in lab):
`export AWS_ACCESS_KEY_ID=AKIA…`
`export AWS_SECRET_ACCESS_KEY=…`
`aws sts get-caller-identity` – confirms the key works.
`aws ec2 describe-instances –region us-east-1` – attempts resource enumeration.
– Windows event hunting for suspicious key usage – monitor Event ID 4624 (Logon) and 4672 (Admin logon) for unusual source IPs associated with service accounts. Use PowerShell:
`Get-WinEvent -FilterHashtable @{LogName=’Security’; ID=4624} | Where-Object {$_.Properties
.Value -like 'IAM'}`
Fix: Implement key rotation policies (AWS IAM Access Analyzer can generate rotation reports). Use Session Manager instead of long-term keys.
3. API Security – Hardening Authentication Against Token Abuse
APIs are the new front door. The post highlighted a case where a hardcoded API key in a public GitHub repo led to full cloud compromise. Below are commands to scan for secrets and configure API gateways.
<h2 style="color: yellow;">Step‑by‑step guide:</h2>
- Scan a local Git repo for secrets (truffleHog):
`docker run -it -v "$PWD:/pwd" trufflesecurity/trufflehog:latest filesystem /pwd --only-verified`
- Test API endpoint for missing rate limiting (using `curl` and `jq`):
`for i in {1..100}; do curl -s -o /dev/null -w "%{http_code}\n" https://api.example.com/v1/users -H "Authorization: Bearer $TOKEN"; done | sort | uniq -c`
<h2 style="color: yellow;">(If all return 200, rate limiting is missing.)</h2>
- Enforce OAuth2 scopes in Azure API Management (PowerShell snippet):
<h2 style="color: yellow;">`$api = Get-AzApiManagementApi -Context $context -ApiId 'my-api'`</h2>
`Set-AzApiManagementApi -Context $context -ApiId $api.ApiId -ServiceUrl $api.ServiceUrl -Protocols @('https') -AuthorizationServerId 'my-oauth-server' -Scope 'read:users'`
Best practice: Use short-lived JWT tokens, enforce Mutual TLS (mTLS), and never log tokens in plaintext.
4. Cloud Hardening – Reducing the Blast Radius via Control Tower & Landing Zones
A single compromised IAM user shouldn’t take down your entire environment. The SOC share recommended AWS Control Tower and Azure Management Groups to enforce preventive guardrails.
<h2 style="color: yellow;">Step‑by‑step guide:</h2>
- Deploy a preventive SCP (Service Control Policy) to deny creation of internet‑facing RDS:
[bash]
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Deny",
"Action": "rds:CreateDBInstance",
"Resource": "",
"Condition": {
"BoolIfExists": {
"rds:PubliclyAccessible": "true"
}
}
}]
}
Apply to OU: `aws organizations create-policy –1ame NoPublicRDS –content file://policy.json –type SERVICE_CONTROL_POLICY`
– Windows / Azure: Restrict VM public IP assignment via Azure Policy (Azure CLI):
`az policy assignment create –1ame ‘no-public-ip’ –policy ’06e5e7b9-9f6d-4d6c-9e5b-7f6a9d8c7e5b’ –scope ‘/subscriptions/{sub-id}/resourceGroups/prod-rg’`
5. SIEM Alerts for IAM Anomalies (Sigma Rules & KQL Queries)
The post concluded with a call to action: build detection rules for IAM anomalies. Below are ready‑to‑use rules.
– Sigma rule for excessive failed AssumeRole attempts (Linux – save as `iam_bruteforce.yml`):
title: IAM AssumeRole Brute Force status: experimental logsource: product: aws service: cloudtrail detection: selection: eventName: AssumeRole errorCode: AccessDenied threshold: 5 timeframe: 5m condition: selection | count() > threshold
– Azure Sentinel KQL query for suspicious role assignment deletions:
AuditLogs | where OperationName == "Delete role assignment" | where InitiatedBy.user.userPrincipalName != "[email protected]" | project TimeGenerated, InitiatedBy.user.userPrincipalName, TargetResources
– Testing detection – simulate failed role assumption (AWS CLI):
`aws sts assume-role –role-arn arn:aws:iam::123456789012:role/FakeRole –role-session-1ame test –duration-seconds 900`
What Undercode Say:
– Key Takeaway 1: IAM is not a set‑and‑forget service – continuous scanning for wildcard policies and stale keys must be part of your monthly SOC playbook.
– Key Takeaway 2: API keys and secrets in source code remain the 1 initial access vector; automated secret scanning (pre‑commit hooks + runtime detection) is non‑negotiable.
Analysis: The post underscores a painful truth: most cloud breaches start with an over‑privileged identity. Attackers don’t break encryption; they log in. SOC teams must shift from reactive alerting to proactive IAM hygiene, leveraging tools like AWS IAM Access Analyzer, Azure AD Identity Protection, and open‑source scanners. The provided commands give defenders a repeatable framework to find misconfigurations before adversaries do. Additionally, integrating IAM telemetry into a SIEM with custom rules (like the Sigma threshold above) turns passive logs into active deterrence. The future of SOC is identity‑centric, not just network‑centric.
Prediction:
– +1 By 2026, 80% of enterprises will adopt Just‑In‑Time (JIT) privilege elevation, drastically reducing standing permissions.
– -1 The rise of AI‑generated infrastructure code (IaC) will introduce new IAM misconfigurations at machine speed, outpacing manual review cycles.
– +1 Open‑source IAM detection engines (like Zeek for AWS CloudTrail) will mature and become standard in mid‑size SOCs, lowering the barrier to effective monitoring.
– -1 Attackers will shift focus to abusing workload identities (service accounts, OIDC tokens for GitHub Actions) where traditional IAM visibility is weakest.
– +1 Cloud providers will finally introduce native “anomaly‑based” IAM policies that auto‑remediate suspicious privilege escalations in real time.
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Reported By: [Iamtolgayildiz Cybersecurity](https://www.linkedin.com/posts/iamtolgayildiz_cybersecurity-infosec-soc-share-7467528328560852992-Q0Sa/) – Hackers Feeds
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