exploiting-cloud-platforms

A set of procedures for authorized security testing of AWS, Azure, and Google Cloud environments. It focuses on finding and exploiting cloud misconfigurations in storage, permissions, metadata services, and serverless functions.

In plain words
What is it for?
Use it for cloud penetration tests, storage-bucket checks, cloud permission escalation tests, serverless-function testing, and metadata-service abuse assessments.
Why use it?
Cloud services expose several attack surfaces, and a misconfiguration can let an attacker access data or gain more permissions. The procedures help assess those risks directly.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/evilfreelancer/secs/exploiting-cloud-platforms
Any agent
npx skills add EvilFreelancer/secs --skill exploiting-cloud-platforms
Clone the repo
git clone --depth 1 https://github.com/EvilFreelancer/secs

Made for: Claude Code, Codex.

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,037 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00052 $0.03037
Opus 5 $0.00026 $0.01519
Sonnet 5 $0.00010 $0.00607
Haiku 4.5 $0.00005 $0.00304

Measured 2d ago against content hash e4db8c090c52, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

exploiting-cloud-platforms scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Cloud metadata endpointmediumServer-side request forgery

One request to 169.254.169.254 can return temporary IAM credentials.

curl http://169.254.169.254/latest/meta-data/

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl https://bucket-name.s3.amazonaws.com/
.agents/skills/exploiting-cloud-platforms/SKILL.md · 467 lines

How it starts

The opening of the file, as written. The whole thing — 467 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Exploiting Cloud Platforms

When to Use

  • AWS, Azure, or GCP security assessment
  • Cloud misconfiguration exploitation
  • S3/Blob/Storage bucket hunting
  • Cloud IAM privilege escalation
  • Serverless function exploitation
  • Cloud metadata service abuse

When NOT to Use

  • On-premises Active Directory — use attacking-active-directory
  • Container and Kubernetes internals — use container-security
  • IaC and pipeline review from source — use auditing-supply-chain
  • Investigating a cloud compromise — use responding-to-incidents
  • Hardening an account's posture rather than attacking it — use hardening-cloud-posture

Route to a Depth Skill

Cloud has grown several attack surfaces deep enough to warrant their own procedure skill. When the assessment narrows to one of these, switch — the IAM-and-storage methodology here does not carry their specific detail.

Signal Skill
A managed Kubernetes cluster (EKS/GKE/AKS): pod-to-cloud IMDS, IRSA/Workload Identity, k8s RBAC container-security
CI/CD pipeline with OIDC federation to the cloud: broad trust policies, runner compromise auditing-supply-chain

AWS Security

AWS CLI Setup

# Configure credentials
aws configure
# Or export directly
export AWS_ACCESS_KEY_ID=AKIAIOSFODNN7EXAMPLE
export AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
export AWS_DEFAULT_REGION=us-east-1

# Test credentials
aws sts get-caller-identity

# List available regions
aws ec2 describe-regions

S3 Bucket Enumeration

# List buckets
aws s3 ls

# List bucket contents
aws s3 ls s3://bucket-name/
aws s3 ls s3://bucket-name/ --recursive

# Download bucket contents
aws s3 sync s3://bucket-name/ ./local-folder/

# Check public access
aws s3api get-bucket-acl --bucket bucket-name
aws s3api get-bucket-policy --bucket bucket-name

# Test unauthenticated access
aws s3 ls s3://bucket-name/ --no-sign-request
curl https://bucket-name.s3.amazonaws.com/

Read the full file on GitHub · 467 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 467 lines · 52 tokens per session scan B e4db8c090c52

Subscribe to this mod's changes

exploiting-cloud-platforms is a skill published in the GitHub repository EvilFreelancer/secs (10 stars, last pushed 23d ago), licensed Apache-2.0. It adds 52 tokens to every session and 3,037 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (cloud metadata endpoint, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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