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Introduction:
Cloud credential harvesting has become the 1 attack vector in 2025, with threat actors exploiting misconfigured IAM roles, exposed API keys, and overly permissive service principals. This article walks you through a real-world simulation: from detecting a malicious token request in Linux audit logs to blocking lateral movement using Windows Defender Firewall and Azure Policy. You will learn to extract forensic evidence, apply mitigation commands, and harden multi-cloud environments against similar attacks.
Learning Objectives:
- Detect and analyze credential replay attacks using Sysmon and Linux auditd
- Harden API gateway security with rate limiting and JWT validation rules
- Automate incident response across AWS, Azure, and on-prem Windows systems
You Should Know:
- Detecting Credential Theft with Linux Auditd and Sysmon
Start with an extended scenario: An attacker has phished an IAM user’s access key and secret. They are now making API calls from an unknown IP. On a compromised Linux jump server, you must identify unusual `aws s3` or `az storage` commands.
Step‑by‑step guide explaining what this does and how to use it:
Linux – Monitor all AWS CLI commands executed by any user
sudo auditctl -w /usr/bin/aws -p x -k aws-cli-exec
sudo auditctl -w /usr/bin/az -p x -k az-cli-exec
Search audit log for AWS commands in the last 10 minutes
sudo ausearch -k aws-cli-exec -ts recent | grep -E “uid=|exe=”
Windows – Enable Sysmon to log ProcessCreate for Azure PowerShell
First, install Sysmon with a config that logs PowerShell and Azure modules
Sysmon64.exe -accepteula -i sysmon-config.xml
Example sysmon-config.xml snippet:
az
aws
Query Windows Event Log for Azure CLI launches
Get-WinEvent -FilterHashtable @{LogName=’Microsoft-Windows-Sysmon/Operational’; ID=1} | Where-Object {$_.Message -like ‘az ‘}
Interpretation: Any execution of cloud CLI tools is logged. If an unapproved process (e.g., powershell from temp folder) calls az account set, that’s a red flag.
- Hardening API Keys and Secrets in CI/CD Pipelines
Attackers frequently scrape GitHub, Jenkins, and GitLab for hardcoded secrets. This section shows how to automatically detect and revoke exposed credentials using open-source tools.
Step‑by‑step guide explaining what this does and how to use it:
Linux – Install truffleHog to scan a local repo for secrets
git clone https://github.com/trufflesecurity/truffleHog.git
cd truffleHog
python3 -m pip install -r requirements.txt
python3 truffleHog.py –file_path /path/to/your/repo –json
Windows – Use GitLeaks in PowerShell after downloading binary
.\gitleaks.exe detect –source=”C:\repo” –report-format=json –report-path=”leaks.json”
Azure – Automatically rotate Key Vault secrets if exposed
$expiredSecret = Get-AzKeyVaultSecret -VaultName “MyVault” -Name “DbPassword”
$newSecretValue = (New-Guid).Guid
Set-AzKeyVaultSecret -VaultName “MyVault” -Name “DbPassword” -SecretValue (ConvertTo-SecureString $newSecretValue -AsPlainText -Force)
AWS – Revoke leaked IAM access keys immediately
aws iam update-access-key –access-key-id AKIA… –status Inactive –user-name compromised-user
aws iam create-access-key –user-name compromised-user Issue new key
Mitigation: Add pre-commit hooks to prevent secret commits. Example .pre-commit-config.yaml:
repos: - repo: https://github.com/Yelp/detect-secrets rev: v1.4.0 hooks: - id: detect-secrets args: ['--baseline', '.secrets.baseline']
- Blocking Lateral Movement with Windows Firewall and AppLocker
Once credentials are harvested, attackers move laterally via WinRM, RDP, or SMB. Implement micro-segmentation using native Windows tools.
Step‑by‑step guide explaining what this does and how to use it:
PowerShell (Admin) – Block all inbound RDP except from a trusted jump box
New-NetFirewallRule -DisplayName “Block RDP from all” -Direction Inbound -Protocol TCP -LocalPort 3389 -Action Block
New-NetFirewallRule -DisplayName “Allow RDP from Jump” -Direction Inbound -Protocol TCP -LocalPort 3389 -RemoteAddress 192.168.1.100 -Action Allow
Block PowerShell remoting (WinRM) for non-Admin users
Set-Item WSMan:\localhost\Client\TrustedHosts -Value “192.168.1.100” -Force
Disable-PSRemoting -Force
AppLocker – Only allow signed executables in users’ temp folders
$Rule = New-AppLockerPolicy -RuleType Exe -User Everyone -Action Deny -Path “%USERPROFILE%\AppData\Local\Temp\”
Set-AppLockerPolicy -Policy $Rule -Merge
Linux – Use iptables to restrict SSH source IP
sudo iptables -A INPUT -p tcp –dport 22 -s 10.0.0.0/8 -j ACCEPT
sudo iptables -A INPUT -p tcp –dport 22 -j DROP
Verification: Run `Test-NetConnection -ComputerName target -Port 3389` from an unauthorized machine – it should time out.
- API Security: JWT Injection and Rate Limiting Hardening
Misconfigured APIs are a goldmine for credential harvesters. This lab demonstrates a JWT alg=none attack and how to deploy rate limiting with NGINX and AWS WAF.
Step‑by‑step guide explaining what this does and how to use it:
Exploit (for testing only): Modify a JWT token to set alg:none
Using Python script
import jwt
token = jwt.encode({“user”: “admin”, “exp”: 9999999999}, key=None, algorithm=”none”)
print(token)
Mitigation – Validate algorithm server-side (Node.js example)
const jwt = require(‘jsonwebtoken’);
const token = req.headers.authorization.split(‘ ‘)[bash];
try {
const decoded = jwt.verify(token, process.env.SECRET, { algorithms: [‘HS256’] });
} catch(err) { res.status(401).send(‘Invalid token’); }
Linux – NGINX rate limiting to prevent credential brute-force
sudo nano /etc/nginx/nginx.conf
http {
limit_req_zone $binary_remote_addr zone=login:10m rate=5r/m;
server {
location /api/login {
limit_req zone=login burst=10 nodelay;
proxy_pass http://backend;
}
}
}
sudo nginx -s reload
AWS WAF – Create rate-based rule via CLI
aws wafv2 create-rule-group –name “RateLimitRule” –scope REGIONAL –capacity 500 –visibility-config SampledRequestsEnabled=true,CloudWatchMetricsEnabled=true,MetricName=RateLimit
aws wafv2 update-web-acl –name MyWebACL –scope REGIONAL –default-action Block –rules file://rule.json
Testing: Use `ab -n 100 -c 10 http://yourapi/login` – after 5 attempts per minute, should return 429.
- Cloud Hardening: Azure Policy and AWS SCPs to Prevent Credential Exposure
Organizations often overlook cloud-native controls. This section enforces that no storage account allows anonymous access, and no IAM user gets unused keys.
Step‑by‑step guide explaining what this does and how to use it:
Azure Policy – Deny public blob access at subscription level
$definition = New-AzPolicyDefinition -Name “DenyPublicBlobAccess” -Policy ‘{
“if”: {
“allOf”: [
{ “field”: “type”, “equals”: “Microsoft.Storage/storageAccounts” },
{ “field”: “Microsoft.Storage/storageAccounts/allowBlobPublicAccess”, “equals”: true }
]
},
“then”: { “effect”: “deny” }
}’
$assignment = New-AzPolicyAssignment -Name “NoPublicBlobs” -PolicyDefinition $definition -Scope “/subscriptions/…”
AWS – Service Control Policy to forbid deleting CloudTrail logs
{
“Version”: “2012-10-17”,
“Statement”: [
{
“Effect”: “Deny”,
“Action”: “cloudtrail:DeleteTrail”,
“Resource”: “”
}
]
}
Attach to OU via AWS CLI
aws organizations attach-policy –policy-id p-xxxx –target-id ou-xxxx
Linux – Automatically rotate expired IAM keys using AWS CLI and cron
/60 aws iam list-access-keys –user-name myuser –query ‘AccessKeyMetadata[?Status==Active].[bash]’ –output text | while read date; do
age=$(( ($(date +%s) – $(date -d $date +%s)) / 86400 ))
if [ $age -gt 90 ]; then
aws iam update-access-key –access-key-id $(aws iam list-access-keys –user-name myuser –query ‘AccessKeyMetadata[?Status==Active].AccessKeyId’ –output text) –status Inactive
aws iam create-access-key –user-name myuser
fi
done
Verification: Attempt to enable public access on a storage account – the deployment fails with policy violation.
What Undercode Say:
- Credential harvesting remains effective because most organizations lack real-time command monitoring on jump boxes and CI/CD pipelines. Deploying auditd and Sysmon is non-negotiable.
- API security mistakes (e.g., JWT alg=none) are shockingly common; always whitelist algorithms server‑side and enforce rate limiting even on internal APIs.
- Cloud-native policies (Azure Policy, AWS SCPs) are underutilized – they provide preventive controls that stop misconfigurations before they happen, far more efficient than reactive incident response.
Prediction:
By Q3 2026, attackers will shift from phishing for static credentials to abusing workload identities and OAuth tokens in multi‑cloud environments. Organizations that fail to implement continuous credential rotation (every 6 hours) and behavioral analytics on cloud CLI usage will suffer breaches averaging $4.5M per incident. AI‑driven secret scanning pre‑commit hooks will become mandatory in all DevOps pipelines, and regulations will require real‑time logging of all cloud API calls with immutable audit trails.
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Reported By: Shahzadms Share – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
