Skip to main content

implementing-cloud-workload-protection

Implements cloud workload protection using boto3 and google-cloud APIs for runtime security monitoring, process anomaly detection, and file integrity checking on EC2/GCE instances. Scans for crypto...

Informations de source

Dépôt
GrayCodeAI/starling
Dernière activité de la source
13 juillet 2026 à 09:28
Langue détectée de SKILL.md
anglais
Étoiles
2
Forks
0

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Explorateur de fichiers
4 fichiers

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
name
implementing-cloud-workload-protection
description
Implements cloud workload protection using boto3 and google-cloud APIs for runtime security monitoring, process anomaly detection, and file integrity checking on EC2/GCE instances. Scans for crypto...
license
MIT
tags
["implementing","cloud","workload","protection"]
domain
cybersecurity
subdomain
cloud-security
version
1
author
mahipal
# Implementing Cloud Workload Protection ## Instructions Monitor cloud workloads for runtime threats by checking process lists, network connections, file integrity, and resource utilization anomalies. ```python import boto3 ssm = boto3.client("ssm") # Run command on EC2 instances to check for suspicious processes response = ssm.send_command( InstanceIds=["i-1234567890abcdef0"], DocumentName="AWS-RunShellScript", Parameters={"commands": ["ps aux | grep -E 'xmrig|minerd|cryptonight'"]}, ) ``` Key protection areas: 1. Process monitoring for cryptominers and reverse shells 2. File integrity monitoring on critical system files 3. Network connection auditing for C2 callbacks 4. Resource utilization anomaly detection (CPU spikes) 5. Unauthorized binary detection via hash comparison ## Examples ```python # Check for unauthorized outbound connections ssm.send_command( InstanceIds=instances, DocumentName="AWS-RunShellScript", Parameters={"commands": ["ss -tlnp | grep ESTABLISHED"]}, ) ``` @ref(api-reference.md)
Voir sur GitHub