Cloud Network Perimeter Exposure logo

Cloud Network Perimeter Exposure

Organization
CDESpace
Cloud Network Perimeter Exposure

A cloud rule change that opens an inbound path from the internet - 0.0.0.0/0 added to 22, 3389, or 3306, a rule deleted rather than narrowed, peering toward an unfamiliar network, a public IP on a private-subnet resource. Reads the editing identity, the source scope, and what arrived after.

Overview

PublisherCDESpace
RepositoryDetection-Skills
Skill nameCloud Network Perimeter Exposure
Stars
57
Forks
5
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by CDESpace on GitHub. Read the source before you install it.

Installation

Install the Cloud Network Perimeter Exposure AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/CDESpace/Detection-Skills/tree/main/skills/triage/cloud-network-perimeter-exposure
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/CDESpace/Detection-Skills.git /tmp/Detection-Skills
mkdir -p .claude/skills
cp -r /tmp/Detection-Skills/skills/triage/cloud-network-perimeter-exposure .claude/skills/cdespace-cloud-network-perimeter-exposure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloud Network Perimeter Exposure in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cloud Network Perimeter Exposure on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cloud Network Perimeter Exposure is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Triage Steps

Perimeter rules change all day in a live account: pipelines re-apply their rule sets, ingress controllers manage the rules for the services they create, an admin opens a port for a migration and closes it again by lunch. So a security-group or NSG edit is not the signal. The signal is direction and scope - did this change add an inbound path from somewhere untrusted to something worth reaching, and does the pipeline or change record that owns the perimeter explain it? The flow logs on both sides of the change (VPC-Flow-Logs, NSG-Flow-Logs) and the firewall's own logs tell you the part the control plane cannot: whether anything came through the opening.

Start from this detection's track record on this identity and this network - a rule that fires whenever the network pipeline re-applies its rule set and always closes benign starts the call near dismiss - then read the leads below. None is required on its own; they stack, and a single strong one (0.0.0.0/0 on 3389 with an accepted external connection right after it) can carry the call. This class turns on an inbound path opened to a cloud compute or management surface in the provider's control plane, distinct from the same act on one machine's own host firewall, which is judged on that host. Blinding the account so nothing is recorded stays with cloud-security-control-evasion, and a storage bucket policy or a snapshot made public remains cloud-data-exfiltration-destruction's - the object here is a network path, not a record and not a data store.

Leads that point to a real threat - what to look for in the data:

  • Any-source ingress on a management or database port. AuthorizeSecurityGroupIngress, an NSG security rule, or a GCP firewall rule adding 0.0.0.0/0 or ::/0 to 22, 3389, 1433, 3306, 5432, or 6379. These ports are the ones an actor wants and the ones no service needs open to the whole internet; the port list plus the any-source scope is the whole lead, and it gets worse when the target sits in front of a database or a jump host.
  • A rule deleted, or allow-any added, rather than a scoped rule replaced. A firewall or NSG rule removed outright with nothing narrower put back, or a new rule with protocol any, port any, source any. Direction is what separates administration from clearing a path: a replacement keeps parity or tightens, a deletion can only open. Check whether a matching create follows the delete in the same window before reading it as a replacement.
  • A new path toward a network nobody recognizes. A VPN gateway, VNet or VPC peering, or transit-gateway attachment created toward a peer account, subscription, or on-prem CIDR that appears nowhere else in the account's topology. Peering is not a port - it is a whole network reaching yours - so an unfamiliar peer on the far end matters more than the ports it carries.
  • Public reachability attached to something that lives private. An Elastic or public IP associated with an instance, a public-IP configuration added to a NIC, or serial-console access enabled - EnableSerialConsoleAccess and its provider equivalents - for a resource whose subnet has no internet route by design. The resource's own placement is the tell; a private-subnet workload gaining a public address was not deployed that way.
  • A first-time network editor, with traffic right behind the change. The change comes from an identity with no history of network configuration calls - a user or compute role rather than the pipeline that owns the perimeter - and the flow logs show an accepted external connection to that port inside the window. The pairing is what makes this decisive: an unfamiliar editor is suspicious, an unfamiliar editor whose opening was immediately used is a foothold.

Leads that rule it out - benign context you can actually see in the data; if the data doesn't show it, you don't have it:

  • The network IaC role's usual rule set. The requester is the network pipeline's assumed role or service principal, and the same rule shape it applies in the other environments or regions is present in this window on its deploy cadence. The check is that the same rules exist elsewhere in the account, not that the tool has an infrastructure-sounding name.
  • A scoped, named CIDR inside a change window. The allow's source is a named corporate, VPN, or office CIDR the account's other rules already use - not 0.0.0.0/0, not a /8 wrapped around it - and a change window covers the timestamp. Scope comes first: a change ticket does not turn an any-source rule into a scoped one, and a scoped rule to a corporate range is the ordinary case even when the ticket is missing.
  • The principal that owns those rules managing them. A load balancer, ingress controller, or the AKS or EKS cluster service principal editing rules on resources it created, matching the service objects it manages. The rule's target should be a resource that principal owns; a cluster identity editing a rule on an unrelated database subnet is not this lead.
  • Opened and closed inside one deploy, with nothing in between. The same pipeline added the rule and removed it within the same deploy, and the flow logs show no external connection to that port between the two events. Both halves have to be visible - the close in the audit rows, and the quiet window in the flow logs.

To confirm a lead instead of guessing, pull the thread: do the flow logs show an external source reaching that port after the change, and does the same rule shape exist in the account's other environments?

Output

Decision

  • escalate: 0.0.0.0/0 or ::/0 added to a management or database port, a rule deleted or an allow-any rule added rather than a scoped rule replaced, a VPN gateway, peering, or transit attachment toward an unfamiliar network, a public IP or serial-console access attached to a private-subnet resource, or a change from an identity with no network-configuration history - decisive when the flow logs show an external connection to that port right after.
  • dismiss: the network IaC role applied the rule set it applies in the other environments on its deploy cadence, the allow is scoped to a named corporate or VPN CIDR inside a change window, the load-balancer or cluster principal is managing rules on resources it owns, or the pipeline opened and closed the rule inside one deploy with no external connection in between. A dismiss is a positive call that the perimeter change is benign, made with that context in hand - a pipeline identity and matching rule shape you found elsewhere in the account, a named CIDR and window you confirmed, a quiet flow-log window you actually checked; a source you couldn't scope or an editor you couldn't place is not that context, and absence of a bad sign is not proof it's good. Dismiss is logged and reopenable; when the source is the whole internet, the rule was deleted rather than replaced, or you're unsure, escalate.

Evidence

The identity that made the change and whether it has network-configuration history, the exact action (authorize, revoke, delete, create) and whether a narrower rule replaced it, the source CIDR and whether it is any-source or a named corporate range, the protocol and destination ports, the target resource and its subnet's internet routing, the peer account, subscription, or CIDR on a gateway or peering change, the same rule shape in the account's other environments, any change window or ticket covering the timestamp, and what the VPC or NSG flow logs and firewall logs show reaching that port after the change.

Reasoning

Name the leads that decided it and how they stacked - a compute role adding 0.0.0.0/0 on 3389 to a private-subnet instance, with an accepted external connection in the flow logs 4 minutes later, is escalate on its own, while the network pipeline re-applying the same office-CIDR rule set it runs in every other region is dismiss.

Frequently asked questions

What does the Cloud Network Perimeter Exposure AI skill do?

A cloud rule change that opens an inbound path from the internet - 0.0.0.0/0 added to 22, 3389, or 3306, a rule deleted rather than narrowed, peering toward an unfamiliar network, a public IP on a private-subnet resource. Reads the editing identity, the source scope, and what arrived after.

Why use Cloud Network Perimeter Exposure on TypingMind?

Because you install it once and use it with any model. Cloud Network Perimeter Exposure is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cloud Network Perimeter Exposure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CDESpace/Detection-Skills/tree/main/skills/triage/cloud-network-perimeter-exposure. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cloud Network Perimeter Exposure?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cloud Network Perimeter Exposure?

As many as you like. As long as a model supports skills, you can use Cloud Network Perimeter Exposure with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cloud Network Perimeter Exposure AI skill free?

Yes. It is published on GitHub by CDESpace under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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