leakferret for VS Code

MCP-native secret scanner — verified findings, agent-applied rewrites.

leakferret is a context-aware secret scanner that runs the moment you save a file. When a hardcoded AWS key, GitHub token, or Stripe secret hits disk, the editor flags it with a red squiggle and offers a one-click Quick Fix: replace the literal with ENV.fetch("...") (or the right idiom for your language) and add the variable to .env.example.

This extension is a thin wrapper. It ships no scanning logic of its own — it downloads the prebuilt, statically-linked leakferret binary (written in Rust) from GitHub Releases on first use and shells out to it for every scan.

Classification runs on your own language model via vscode.lm.sendRequest. If you already have a chat model available in VS Code, the extension uses it — no extra API key, no SaaS account, no new bill. Only a redacted preview of each candidate is ever sent to the model.

Features

• Scan on save. Every save of a supported file shells out to the binary, which regex-scans the file and produces a redacted-preview JSON report.
• Classify with your own language model. Each candidate is sent to your host model with the redacted preview (first 4 + last 4 characters) and a few lines of surrounding context — never the secret itself — and comes back as REAL, FIXTURE, or UNKNOWN.
• Surface as diagnostics.
  • REAL → Error (red squiggle, shows in the Problems pane)
  • UNKNOWN → Warning (yellow squiggle)
  • FIXTURE → suppressed (no nag for known test data)
• Quick Fix on every finding.
  • Replace with ENV.fetch (leakferret) — runs leakferret rewrite --apply --only <file>, rewriting the literal to an env-var lookup in the right idiom (ENV.fetch in Ruby, process.env.X in JS/TS, os.environ in Python, and so on) and adding a .env.example line.
  • Add to allowlist (this line) — inserts a # leakferret:allow comment so the scanner skips that line next time.

Privacy invariant: the full secret value never leaves your machine. The binary redacts every match before any output leaves the process; the classification call and every report only ever see the redacted preview.

Install

Search "leakferret" in your editor's Extensions panel and click Install:

• VS Code — the Visual Studio Marketplace.
• Cursor, Windsurf, VSCodium, Gitpod — Open VSX.

The leakferret binary is fetched automatically on your first scan; no Rust toolchain required.

To run from source:

git clone https://github.com/leakferrethq/leakferret-vscode.git
cd leakferret-vscode
npm install
npm run compile

Then open the folder in VS Code and press F5 to launch the Extension Development Host. The npm install postinstall step downloads the platform-specific leakferret binary into dist/bin/. If that download fails (release not yet published, offline machine), the extension still installs — set leakferret.binaryPath to a local copy of the binary.

Requires VS Code 1.90+ (the vscode.lm chat-model API is only available there). On older versions, findings still surface, but all as Warnings without model classification.

Settings

leakferret.binaryPath

This is the in-editor equivalent of the LEAKFERRET_BIN override that every leakferret wrapper honors. Leave it empty to use the binary the extension downloads on install. Set it to an absolute path — for example a build you ship to an air-gapped machine — and the extension runs that binary instead:

{
  "leakferret.binaryPath": "/opt/leakferret/leakferret"
}

For air-gapped installs you can also set LEAKFERRET_SKIP_DOWNLOAD=1 during npm install and provide the binary out of band, then point leakferret.binaryPath at it.

Commands

All commands are available from the Command Palette (Ctrl+Shift+P / Cmd+Shift+P):

• leakferret: Scan current file
• leakferret: Verify findings against providers
• leakferret: Rewrite literals to ENV.fetch

Known limitations

• The vscode.lm chat-model API requires VS Code 1.90+. On older versions the extension surfaces findings as Warnings with no model classification.
• There is no JetBrains / IntelliJ port yet; the classification flow depends on the vscode.lm API.

Also a CLI, a CI check, and an MCP server

This extension is one face of leakferret — the same binary is also:

• a CLI: gem install leakferret · npm i -g @leakferret/cli · cargo install leakferret-cli, then leakferret scan .
• a CI check: the GitHub Action, or leakferret verify . in any pipeline (SARIF output + baseline support)
• an MCP server: leakferret mcp, so a coding agent can scan, verify, and rewrite before it commits

See the main README for all of it.

Block commits locally (pre-commit hook)

The extension flags secrets as you save. To also block them at commit time, install the CLI on your PATH (gem install leakferret · npm i -g @leakferret/cli · cargo install leakferret-cli) and add a git hook from your repo root:

cat > .git/hooks/pre-commit <<'HOOK'
#!/bin/sh
# Offline secret scan (no network). Blocks the commit on any finding.
leakferret verify . --verify-mode none --fail-on any || {
  echo "leakferret blocked this commit. Bypass: git commit --no-verify"
  exit 1
}
HOOK
chmod +x .git/hooks/pre-commit

--verify-mode none keeps it offline; --fail-on any exits non-zero on any non-fixture finding. Pair with leakferret baseline init to block only on new secrets.

License

MIT for this extension and the bundled binary. The fixture catalog data is CC-BY-SA-4.0 — see leakferret-catalog.

Part of leakferret · leakferret.com · maintained by Maria Khan <missusk@protonmail.com>.