map-threat-intel-coverage

Overview

Turn a threat-intel article into a saved markdown coverage report plus a list of suggested (never auto-created) GitHub issue drafts for any uncovered cloud TTPs.

Inputs

• URL (primary): pass to WebFetch with prompt "Return the full article text verbatim, including any IOC/TTP tables and section headings.".
• Local file path: read with Read.
• Pasted text: use as-is.

Derive a short slug from the title/URL (e.g. storm-2949) for the output filename.

Workflow

1. Resolve input. Fetch / read as above.

2. Extract TTPs in kill-chain order, inline. Build a table with columns #, Phase (the source's narrative phase, not MITRE tactic), Technique, MITRE ATT&CK ID, Cloud/Surface, one-sentence What the attacker did. Preserve the order described by the source. Do not delegate this step to a subagent — the article is already in context.

3. Apply the scope filter (below). Move out-of-scope TTPs into a separate "Out of scope" appendix with a one-line reason each, so the user can sanity-check the filter.

4. Enumerate Stratus techniques. Use paths relative to the repo root (find it with git rev-parse --show-toplevel if cwd isn't the repo root):

   • Docs (canonical technique IDs): ls docs/attack-techniques/{AWS,azure,GCP,entra-id,EKS,kubernetes}/ — note the inconsistent casing.
   • Go source (implementation details): v2/internal/attacktechniques/<platform>/<tactic>/<name>/main.go — directories here are all lowercase (aws, azure, eks, entra-id, gcp, k8s).

   The doc files give a one-paragraph description; the Go code shows the exact SDK calls and resources touched. When verifying a candidate match, the subagent must read the Go file to confirm — the doc alone can be ambiguous.

5. Enumerate open kind/new-technique issues. gh issue list --repo DataDog/stratus-red-team --state open --label kind/new-technique --limit 200 --json number,title,labels

6. Delegate coverage matching to one Explore subagent (single batch call). Pass the in-scope TTP list, the technique-ID list from step 4, the open-issues JSON from step 5, and a pointer to references/matching-heuristics.md. Ask for a JSON array [{ttp_index, status, evidence_id, other_platforms, justification}, ...] where other_platforms is a list of {platform, technique_id} for same-concept techniques on other clouds (empty list if none). The subagent must:

   • Keyword-prefilter filenames first (≤ 5 doc reads per TTP).
   • For every Covered / Partial verdict, Read the corresponding v2/internal/attacktechniques/<platform>/<tactic>/<name>/main.go to confirm the implementation actually matches the TTP — doc descriptions are sometimes vague.

7. Assemble the markdown report (skeleton below) and save to coverage-<slug>-<YYYY-MM-DD>.md in the current working directory. Print the absolute path.

8. Generate suggested issue drafts for every Not covered row using references/issue-template.md. Run the approval flow (below).

9. Stop. No auto-creation. No commits.

Scope filter

A TTP is in scope if and only if the attacker action is performed against a cloud-provider control plane (AWS, Azure, GCP, Entra ID, M365 admin, Kubernetes / EKS API server). On-host / endpoint actions inside a VM, container, or workstation are out of scope, even when the host runs in the cloud.

IN (cloud control plane):

1. Invoked microsoft.web/sites/publishxml/action to retrieve publishing credentials (ARM API)
2. Requested an OAuth token from IMDS at 169.254.169.254/metadata/identity/oauth2/token (cloud identity surface)
3. Created an EKS access entry granting cluster-admin (EKS control plane)
4. Used Azure VM Run Command to execute a PowerShell script — the invocation is control-plane even though the script runs on-host

OUT (endpoint / on-host):

1. Disabled Defender real-time protection via PowerShell on the compromised VM (host-level)
2. Cleared Windows event logs with wevtutil cl (host-level)
3. Dumped LSASS with Mimikatz on a domain controller running in Azure (cloud host ≠ cloud action)
4. Renamed the ScreenConnect service to masquerade as a Windows component (host-level)

Coverage statuses

• Covered — exact technique exists on the same platform (cite full ID).
• Partial — same platform, adjacent sub-action on the same service. Rare. Cross-cloud is not Partial.
• Open issue — tracked in an open kind/new-technique issue (cite #NNN).
• Not covered — no implementation, no tracking issue. Cross-cloud equivalents do not count as coverage — they surface in the Other platforms column instead.

Full rubric and worked examples: references/matching-heuristics.md.

Output report skeleton

# Coverage report: <Report title>

- **Source:** <URL or file path>
- **Published:** <date if known>
- **Analyzed:** <YYYY-MM-DD>
- **Scope:** Cloud / cloud-identity TTPs only

## Summary
- In-scope TTPs: N
- Covered: X · Partial: X · Open issue: X · Not covered: X

## Kill chain
<3–6 sentence prose summary in attacker order>

## Coverage table
| # | Phase | TTP | MITRE | Cloud | Status | Stratus reference | Other platforms | Notes |

- `Stratus reference` — for **Covered** / **Partial**, a markdown link to the technique page using `[<technique-id>](https://stratus-red-team.cloud/attack-techniques/<PLATFORM_DIR>/<technique-id>/)`. `<PLATFORM_DIR>` matches the docs directory casing (`AWS`, `azure`, `GCP`, `entra-id`, `EKS`, `kubernetes`). For **Open issue**, link `[#NNN](https://github.com/DataDog/stratus-red-team/issues/NNN)`. For **Not covered**, `—`.
  Example: `[aws.credential-access.ec2-steal-instance-credentials](https://stratus-red-team.cloud/attack-techniques/AWS/aws.credential-access.ec2-steal-instance-credentials/)`
- `Other platforms` — same link format for same-concept techniques on other clouds, prefixed with the platform: e.g. `aws: [aws.credential-access.ec2-steal-instance-credentials](...)`. `—` if none. Informational only.

## Suggested new issues
### 1. New attack technique: <title>
**Labels:** `kind/new-technique`, `platform/<x>`, [`priority/seen-in-the-wild`]
<body using references/issue-template.md>

---

## Out of scope (endpoint-only)
- <TTP> — <one-line reason>

Suggesting issues

Issue title pattern, body template, and label rules: references/issue-template.md.

After saving the report, print a compact preview (numbered titles + labels), then ask the user via AskUserQuestion with four options:

• Create all — file every draft via gh issue create --repo DataDog/stratus-red-team (HEREDOC body to preserve markdown). Print each created URL.
• Review one by one — per-draft AskUserQuestion with Create / Skip / Edit-then-create.
• Print drafts only — no creation; user files manually.
• Cancel — stop.

Don't

• Never call gh issue create without explicit user approval.
• Never invent labels. Pick from: kind/new-technique, platform/aws, platform/azure, platform/gcp, platform/entra-id, platform/eks, platform/k8s, priority/seen-in-the-wild.
• Never include endpoint-only TTPs in the coverage table — they belong in the "Out of scope" appendix.
• Never mark a TTP Covered without citing a full technique ID (e.g. azure.execution.vm-run-command).
• Never output an infographic, HTML, or image. Markdown only.