openclaw-credential-vault addresses four credential leakage paths in AI agents

✍️ OpenClawRadar📅 Published: March 23, 2026🔗 Source
openclaw-credential-vault addresses four credential leakage paths in AI agents
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openclaw-credential-vault is a security tool that addresses credential exposure risks in OpenClaw AI agent setups. The tool implements three layers of defense against four identified credential leakage paths.

Four credential exposure paths

The source identifies these primary threats:

  • Direct file/env access: Agents running commands like cat ~/.env or echo $GITHUB_TOKEN can expose credentials stored in environment variables or config files.
  • Context window leakage: Tool output containing tokens or auth headers becomes permanently stored in conversation history.
  • Prompt injection exfiltration: Malicious instructions can trick agents into forwarding credentials they can access.
  • Supply chain attacks: Malicious ClawHub skills executing arbitrary code with agent permissions.

The key insight: the first three paths depend on credentials being visible to the agent process. Removing that visibility eliminates 75% of the attack surface.

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How openclaw-credential-vault works

The tool provides three defense layers:

OS-level isolation

A dedicated system user owns encrypted vault files, with filesystem permissions enforced by the kernel. The agent process cannot access these files at the filesystem level.

Subprocess-scoped injection

Credentials are decrypted by a sandboxed resolver binary and injected only into specific subprocess environments. For example, a GITHUB_TOKEN only exists inside the gh process and disappears when that subprocess exits. The agent's own process never sees plaintext credentials.

4-hook output scrubbing

Before tool output reaches the agent, four independent layers scan for leaks:

  • Regex pattern matching for known formats like ghp_ and sk_live_
  • Hash-based literal matching against exact stored credentials
  • Environment variable name matching
  • Global known-format detection

Technical implementation

  • Encryption: AES-256-GCM with per-credential random salts
  • Key derivation: Argon2id with 64 MiB memory cost, 3 iterations
  • Compatibility: Works with any CLI tool or API, including browser login or session cookies
  • BYOT (Bring your own tools) support
  • Test coverage: ~700 tests across 36 files
  • Open source

Setup and usage

Installation: npm install -g openclaw-credential-vault

Basic setup: openclaw vault add github --key ghp_xxx

The tool addresses limitations in SecretRefs (v2026.3.2), which handles config-level secrets but lacks OS-level separation and only covers OpenClaw's own config keys, not arbitrary tools like gh or stripe CLI.

📖 Read the full source: r/openclaw

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👀 See Also