Point recon at a domain and get its public technology and identity footprint: email security, mail and identity providers, SaaS indicators, and certificate-transparency findings. No credentials, no API keys, no active scanning. Ships as a CLI, versioned JSON, and a local MCP server for agent tools. About ten seconds per domain.
Defensive use only. Posture review, vendor diligence, architecture review. See docs/legal.md.
Install and check the version offline:
uv tool install recon-tool # or: pipx install recon-tool
recon --version # offline checkPython 3.11 through 3.14, on Windows, macOS, or Linux. recon doctor tests
online connectivity to recon's public data sources.
Optional install helpers at scripts/install.ps1 and scripts/install.sh drive
an existing uv or pipx installation. Download a
release-tag source archive,
review the helper locally, then run it: each installs the exact version
represented by that tag, preserves a sole existing owner, and refuses ambiguous
or unmanaged installations. Do not pipe mutable branch content into a shell. To
verify published artifacts first, follow the
consumer verification recipe.
Before the first lookup, know what leaves your machine. recon makes DNS queries
that recursive and authoritative DNS infrastructure may observe. Its only
default request to a target-owned endpoint is the standards-defined MTA-STS
policy fetch; Google CSE and BIMI certificate probes run only when
--direct-probes is explicitly enabled. See
ADR-0011.
recon example.comEvery lookup is live. recon ships no offline demo mode, so reserved names such
as example.com return a panel of stray public residue from unrelated test
configurations, including a meaningless display name, at High confidence. It
shows you the shape of the output, not a result about any organization. Point
recon at a domain you operate or are authorized to review to see a real
footprint.
A domain is a query coordinate, not proof of one organization or product: recon reports observations, not verdicts. That is the caution to keep beside every row the panel shows.
The panel above is generated, not captured:
scripts/generate_terminal_demo.py
drives recon's real formatter over a deterministic, no-network fixture for the
fictional Example Industries Ltd. It shows the shape of a full-signal
result, every row a rich target can fill, and no live lookup of reserved
example.com reproduces it. No real organization is depicted. Other project
fixtures use IETF reserved .invalid namespaces.
Accessible text transcript
demo@recon:~$ recon example.com # synthetic fixture, not a captured run
Example Industries Ltd
example.com
──────────────────────────────────────────────────────────────────────────────
Provider Microsoft 365 + Proofpoint gateway
Tenant a1b2c3d4-e5f6-7890-abcd-ef1234567890 • NA
Tenant domain example-industries.onmicrosoft.example.com
Auth Federated
Confidence ●●● High (4 sources)
Services
Email Microsoft 365, Proofpoint, DMARC reject, DKIM,
SPF strict, MTA-STS enforce
Identity Okta
Cloud Cloudflare (CDN/edge), AWS Route 53 (DNS)
Security Wiz Security
Data & Analytics Snowflake, Datadog
Collaboration Slack, Atlassian (Jira/Confluence), GitHub, Zoom
Evidence roles: --explain
High-signal related domains
login.example.com, support.example.com, status.example.com
Insights
Federated identity observed; identity-vendor indicators: Okta
Email security: observed controls: DMARC reject, DKIM, SPF strict, MTA-STS
Install, update, uninstall, and first-run detail: docs/getting-started.md.
| Need | Use recon for | Use something else when |
|---|---|---|
| Fast external stack context | Passive DNS, identity-endpoint, CT, SaaS, and posture indicators | You need authenticated tenant inventory or asset-management truth |
| Defensive review or vendor diligence | Hedged observations and evidence traces you can verify | You need vulnerability scanning, exploit checks, or host-level facts |
| Automation-friendly output | Stable JSON, batch mode, delta mode, and local MCP tools | You need dashboards, scheduling, or report generation built in |
recon reports observations, not verdicts. Public channel ceiling: docs/limitations.md. How to report a result without overstating it: docs/reporting-observations.md.
recon is designed around a harder question than record collection: when may several incomplete public observations support one claim, and when must the result stay unresolved? The correlation model is the deeper design contract for that question. It separates observed facts, deterministic deductions, and model-relative diagnostics; treats provenance and abstention as first-class; and keeps ownership, causation, complete-inventory, and unvalidated robustness claims outside the result.
v2.15 and v2.16 closed a five-round presentation-drift class. Independent testers installed the published package, never read the source, and kept finding the same issue: a decision applied to one renderer and not the others. The engine is feature-complete. Those findings and their fixes are in CHANGELOG.md and in ADR-0015 through ADR-0017.
The living work is the fingerprint catalog. Vendors add, rename, and retire the
public patterns recon detects, so a rule with no re-check is a slow source of
false positives and negatives. Most useful contributions are one YAML file, not
code: a current vendor-documentation page (or a disclosure-safe aggregate
basis), a verified date, a fictional positive, and a lookalike negative.
CONTRIBUTING.md
has the schema, the validation command, and what is deliberately out of scope.
The freshness loop and its coverage floor live in
docs/catalog-strategy.md.
recon example.com # default panel
recon example.com --explain # evidence trail
recon example.com --gaps # neutral hardening prompts
recon example.com --plain # panel as linear text (screen readers, grep)
recon example.com --plain --full # every field, linear
recon example.com --json # structured record
recon example.com --explain-dag --explain-dag-format mermaid # evidence DAG
recon batch domains.txt --json # batch JSON array
recon delta example.com # diff vs local cache
recon capsule capture example.com -o run.json # caller-owned replay artifact
recon mcp install --client=cursor # wire MCP into a clientMore flags: docs/cli-surface.md. JSON contracts: schema · stability · operational contract.
Versioned JSON remains recon's structured runtime contract. The Open Knowledge Format v0.2 projection is deferred until a named consumer justifies the mapping. recon does not emit OKF, and any future OKF view would be additive rather than a replacement for JSON. Caller-owned JSON observation capsules are documented in docs/observation-capsules.md, with the decision boundary in ADR-0014.
docs/surface-inventory.json, docs/cli-surface.md, and
recon://surface-inventory are generated discovery context and drift guards,
not stable runtime API contracts. ADR-0007 records the promotion gate.
Wire recon into Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Kiro, or any MCP-compatible client:
recon mcp install --client=claude-desktop
# also: claude-code, cursor, vscode, windsurf, kiro
recon mcp doctorStart with manual tool approvals. Treat agents as untrusted input. Full setup: docs/mcp.md. Per-client scaffolds and skills: agents/.
The current scaffolds use each client's native configuration. In particular,
the bundled Claude Code plugin uses Claude Code's client-specific layout; it
does not claim conformance with the portable
Agent Plugins v1.0.0 specification.
A complete-surface portable candidate now lives under
agents/agent-plugin/
and passes network-free validation against the exact pinned v1.0.0 schemas,
whose bytes still match the Published specification. That is not a client
compatibility or conformance claim. The frozen VS Code, Cursor, and Kiro
preflight passes, but the paired evaluation remains incomplete. GPT-5.6 Luna
and a $5 total external-charge ceiling are declared for the frame; collection
stopped before any model session because account-side hard stops and a
reproducible driver for all three required desktop clients were not verifiable.
Until the complete 30-session evaluation passes, use the documented
client-specific install path above. The aggregate stop disposition is
recorded here.
| You say | What the agent should do |
|---|---|
| "Recon example.com" | Call lookup_tenant (or recon example.com) and return the panel-style summary |
| "What does example.com run for email and identity?" | Same lookup; lead with MX/IdP/tenant facts and confidence |
| "Why do you think that?" | Re-run with explain / provenance (--explain or explain=true) |
| "Compare example.com and example.net" | compare_postures or two lookups side by side |
| "Any public hardening gaps?" | find_hardening_gaps after a lookup - hedged "Consider" notes only |
Example chat. This transcript uses the same synthetic Example Industries
fixture as the illustration above, so it shows the shape of a full-signal
answer rather than what a live example.com lookup returns:
You: Recon example.com and tell me what you observe.
Agent: Public evidence for
example.com(fictional demo):
- Mail: Microsoft 365 delivery path plus Proofpoint gateway; DMARC
p=reject, SPF strict, MTA-STS enforce.- Identity: Federated; Okta indicator via CNAME.
- Tenant: GUID present, region NA; confidence high from four sources.
- Also seen: Cloudflare and Route 53 infrastructure, Wiz, Snowflake, Datadog, Slack, Atlassian, GitHub, and Zoom public indicators.
These are public-record observations, not a security grade or proof of active product use. Say if you want evidence detail or a gap review.
Guidance: agents/claude-code/skills/recon/, AGENTS.md.
Local execution is the default, and the project does not operate a hosted service. For teams that want shared remote access, the repository includes a draft authenticated container and Cloud Run Terraform starting point. It is intended to be directionally useful, not a validated production deployment. Operators own deployment, identity, data handling, cost, and operations.
| Topic | Link |
|---|---|
| Glossary of recon's terms | docs/glossary.md |
| Install and first commands | docs/getting-started.md |
| Reporting a result without overstating it | docs/reporting-observations.md |
| How it works | docs/how-it-works.md |
| Known weak areas and conservative wording | docs/weak-areas.md |
| Catalog growth and freshness loop | docs/catalog-strategy.md |
| Observation capsules | docs/observation-capsules.md |
| Correlation model | docs/correlation.md |
| MCP and agents | docs/mcp.md, agents/ |
| Full docs index | docs/README.md |
| Roadmap | ROADMAP.md · docs/roadmap.md · docs/strategic-gap-audit.md |
| Changelog | CHANGELOG.md |
| Security | SECURITY.md · docs/security.md |
Research and publication pointers (maintainer track, not the product core): docs/submission-freeze-checklist.md, validation/2026-06-30-submission-freeze-local-proof.md, docs/public-label-snapshot-decision.md (public lists as robustness checks rather than population rates), and docs/m365-tenancy-decision.md.
The repository requires uv >=0.11.8,<0.12; CI currently pins 0.11.17.
uv sync
uv run pre-commit install
uv run python scripts/release_readiness.py --allow-dirty
uv run python scripts/check.pyuv run python scripts/check.py is the canonical local gate: lint, type
checks, coverage-gated tests, generated-artifact and catalog checks, text and
link hygiene, interface and claim checks, and size and complexity ratchets.
Green locally means green in CI.
Project hygiene: keep examples reserved and synthetic, keep validation artifacts aggregate-only, and avoid dead code or placeholders. See CONTRIBUTING.md.
Apache 2.0. Free to use, build on, fork, and share. See LICENSE for the full terms.