--- summary: "OpenClaw threat model mapped to the MITRE ATLAS framework" title: "Threat model (MITRE ATLAS)" read_when: - Reviewing security posture or threat scenarios - Working on security features or audit responses --- **Version:** 1.0-draft | **Framework:** [MITRE ATLAS](https://atlas.mitre.org/) (Adversarial Threat Landscape for AI Systems) + data flow diagrams This threat model documents adversarial threats to the OpenClaw AI agent platform and ClawHub skill marketplace. It is a living document maintained by the OpenClaw community. See [Contributing to the threat model](/security/CONTRIBUTING-THREAT-MODEL) for how to report new threats, propose attack chains, or suggest mitigations. **Key ATLAS resources:** [Techniques](https://atlas.mitre.org/techniques/) | [Tactics](https://atlas.mitre.org/tactics/) | [Case studies](https://atlas.mitre.org/studies/) | [ATLAS GitHub](https://github.com/mitre-atlas/atlas-data) | [Contributing to ATLAS](https://atlas.mitre.org/resources/contribute) --- ## 1. Scope | Component | Included | Notes | | ---------------------- | -------- | ------------------------------------------------ | | OpenClaw agent runtime | Yes | Core agent execution, tool calls, sessions | | Gateway | Yes | Authentication, routing, channel integration | | Channel integrations | Yes | WhatsApp, Telegram, Discord, Signal, Slack, etc. | | ClawHub marketplace | Yes | Skill publishing, moderation, distribution | | MCP servers | Yes | External tool providers | | User devices | Partial | Mobile apps, desktop clients | Out-of-scope reports and false-positive patterns (public internet exposure, prompt-injection-only chains without a boundary bypass, mutually untrusted operators sharing one gateway host, and others) are enumerated in [`SECURITY.md`](https://github.com/openclaw/openclaw/blob/main/SECURITY.md); that file is the current source of truth for vulnerability-report scope, not this page. ## 2. System architecture ### 2.1 Trust boundaries ```text ┌─────────────────────────────────────────────────────────────────┐ │ UNTRUSTED ZONE │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │ │ WhatsApp │ │ Telegram │ │ Discord │ ... │ │ └──────┬──────┘ └──────┬──────┘ └──────┬──────┘ │ │ │ │ │ │ └─────────┼────────────────┼────────────────┼──────────────────────┘ │ │ │ ▼ ▼ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ TRUST BOUNDARY 1: Channel Access │ │ ┌──────────────────────────────────────────────────────────┐ │ │ │ GATEWAY │ │ │ │ • Device pairing (1h DM pairing / 5m node pairing TTL) │ │ │ │ • AllowFrom / allowlist validation │ │ │ │ • Token / password / Tailscale auth │ │ │ └──────────────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ TRUST BOUNDARY 2: Session Isolation │ │ ┌──────────────────────────────────────────────────────────┐ │ │ │ AGENT SESSIONS │ │ │ │ • Session key = agent:channel:peer │ │ │ │ • Tool policies per agent │ │ │ │ • Transcript logging │ │ │ └──────────────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ TRUST BOUNDARY 3: Tool Execution │ │ ┌──────────────────────────────────────────────────────────┐ │ │ │ EXECUTION SANDBOX │ │ │ │ • Docker sandbox (default) or host (exec approvals) │ │ │ │ • Node remote execution │ │ │ │ • SSRF protection (DNS pinning + IP blocking) │ │ │ └──────────────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ TRUST BOUNDARY 4: External Content │ │ ┌──────────────────────────────────────────────────────────┐ │ │ │ FETCHED URLs / EMAILS / WEBHOOKS │ │ │ │ • External content wrapping (random-boundary XML tags) │ │ │ │ • Security notice injection │ │ │ └──────────────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ TRUST BOUNDARY 5: Supply Chain │ │ ┌──────────────────────────────────────────────────────────┐ │ │ │ CLAWHUB │ │ │ │ • Skill publishing (semver, SKILL.md required) │ │ │ │ • Static pattern + AST-adjacent moderation scanning │ │ │ │ • LLM-based agentic risk review + VirusTotal scanning │ │ │ │ • GitHub account age verification (14 days) │ │ │ └──────────────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────────────┘ ``` ### 2.2 Data flows | Flow | Source | Destination | Data | Protection | | ---- | ------- | ----------- | -------------------- | -------------------- | | F1 | Channel | Gateway | User messages | TLS, AllowFrom | | F2 | Gateway | Agent | Routed messages | Session isolation | | F3 | Agent | Tools | Tool invocations | Policy enforcement | | F4 | Agent | External | `web_fetch` requests | SSRF blocking | | F5 | ClawHub | Agent | Skill code | Moderation, scanning | | F6 | Agent | Channel | Responses | Output filtering | --- ## 3. Threat analysis by ATLAS tactic ### 3.1 Reconnaissance (AML.TA0002) #### T-RECON-001: Agent endpoint discovery | Attribute | Value | | ----------------------- | -------------------------------------------------------------------- | | **ATLAS ID** | AML.T0006 - Active Scanning | | **Description** | Attacker scans for exposed OpenClaw gateway endpoints | | **Attack vector** | Network scanning, Shodan queries, DNS enumeration | | **Affected components** | Gateway, exposed API endpoints | | **Current mitigations** | Tailscale auth option, bind to loopback by default | | **Residual risk** | Medium - public gateways discoverable | | **Recommendations** | Document secure deployment, add rate limiting on discovery endpoints | #### T-RECON-002: Channel integration probing | Attribute | Value | | ----------------------- | ------------------------------------------------------------------ | | **ATLAS ID** | AML.T0006 - Active Scanning | | **Description** | Attacker probes messaging channels to identify AI-managed accounts | | **Attack vector** | Sending test messages, observing response patterns | | **Affected components** | All channel integrations | | **Current mitigations** | None specific | | **Residual risk** | Low - limited value from discovery alone | | **Recommendations** | Consider response timing randomization | --- ### 3.2 Initial access (AML.TA0004) #### T-ACCESS-001: Pairing code interception | Attribute | Value | | ----------------------- | ----------------------------------------------------------------------------------------------------- | | **ATLAS ID** | AML.T0040 - AI Model Inference API Access | | **Description** | Attacker intercepts a pairing code during the pairing window (1h DM/generic pairing, 5m node pairing) | | **Attack vector** | Shoulder surfing, network sniffing, social engineering | | **Affected components** | Device pairing system | | **Current mitigations** | 1h TTL (DM/generic pairing), 5m TTL (node pairing); codes sent via the existing channel | | **Residual risk** | Medium - pairing window exploitable | | **Recommendations** | Reduce pairing window, add a confirmation step | #### T-ACCESS-002: AllowFrom spoofing | Attribute | Value | | ----------------------- | ------------------------------------------------------------------------------ | | **ATLAS ID** | AML.T0040 - AI Model Inference API Access | | **Description** | Attacker spoofs an allowed sender identity on a channel | | **Attack vector** | Channel-dependent - phone number spoofing, username impersonation | | **Affected components** | Per-channel AllowFrom validation | | **Current mitigations** | Channel-specific identity verification | | **Residual risk** | Medium - some channels remain vulnerable to spoofing | | **Recommendations** | Document channel-specific risks, add cryptographic verification where possible | #### T-ACCESS-003: Token theft | Attribute | Value | | ----------------------- | ------------------------------------------------------------------ | | **ATLAS ID** | AML.T0040 - AI Model Inference API Access | | **Description** | Attacker steals authentication tokens from config/credential files | | **Attack vector** | Malware, unauthorized device access, config backup exposure | | **Affected components** | Channel/provider credential storage, config storage | | **Current mitigations** | File permissions | | **Residual risk** | High - tokens stored in plaintext on disk | | **Recommendations** | Implement token encryption at rest, add token rotation | --- ### 3.3 Execution (AML.TA0005) #### T-EXEC-001: Direct prompt injection | Attribute | Value | | ----------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- | | **ATLAS ID** | AML.T0051.000 - LLM Prompt Injection: Direct | | **Description** | Attacker sends crafted prompts to manipulate agent behavior | | **Attack vector** | Channel messages containing adversarial instructions | | **Affected components** | Agent LLM, all input surfaces | | **Current mitigations** | Pattern detection, external content wrapping; treated as out-of-scope for vulnerability reports absent a boundary bypass (see `SECURITY.md`) | | **Residual risk** | Critical - detection only, no blocking; sophisticated attacks bypass | | **Recommendations** | Output validation and user confirmation for sensitive actions, layered on top of existing detection | #### T-EXEC-002: Indirect prompt injection | Attribute | Value | | ----------------------- | --------------------------------------------------------------------------------------------------------------------- | | **ATLAS ID** | AML.T0051.001 - LLM Prompt Injection: Indirect | | **Description** | Attacker embeds malicious instructions in fetched content | | **Attack vector** | Malicious URLs, poisoned emails, compromised webhooks | | **Affected components** | `web_fetch`, email ingestion, external data sources | | **Current mitigations** | Content wrapping with random-boundary XML-style markers, homoglyph/special-token normalization, and a security notice | | **Residual risk** | High - LLM may still ignore wrapper instructions | | **Recommendations** | Separate execution contexts for wrapped content | #### T-EXEC-003: Tool argument injection | Attribute | Value | | ----------------------- | ------------------------------------------------------------ | | **ATLAS ID** | AML.T0051.000 - LLM Prompt Injection: Direct | | **Description** | Attacker manipulates tool arguments through prompt injection | | **Attack vector** | Crafted prompts that influence tool parameter values | | **Affected components** | All tool invocations | | **Current mitigations** | Exec approvals for dangerous commands | | **Residual risk** | High - relies on user judgment | | **Recommendations** | Argument validation, parameterized tool calls | #### T-EXEC-004: Exec approval bypass | Attribute | Value | | ----------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **ATLAS ID** | AML.T0043 - Craft Adversarial Data | | **Description** | Attacker crafts commands that bypass the approval allowlist | | **Attack vector** | Command obfuscation, alias exploitation, path manipulation | | **Affected components** | `src/infra/exec-approvals*.ts`, command allowlist | | **Current mitigations** | Allowlist + ask mode, plus command normalization (dispatch-wrapper unwrapping, inline-eval detection, shell-chain analysis) | | **Residual risk** | High - normalization narrows but does not eliminate obfuscation bypass; parity-only findings between exec paths are treated as hardening, not vulnerabilities (see `SECURITY.md`) | | **Recommendations** | Continue expanding command-normalization coverage against new obfuscation techniques | --- ### 3.4 Persistence (AML.TA0006) #### T-PERSIST-001: Malicious skill installation | Attribute | Value | | ----------------------- | ------------------------------------------------------------------------------------------------------------------------- | | **ATLAS ID** | AML.T0010.001 - Supply Chain Compromise: AI Software | | **Description** | Attacker publishes a malicious skill to ClawHub | | **Attack vector** | Create account, publish skill with hidden malicious code | | **Affected components** | ClawHub, skill loading, agent execution | | **Current mitigations** | GitHub account age verification, static pattern/AST-adjacent scanning, LLM-based agentic risk review, VirusTotal scanning | | **Residual risk** | High - detection layers exist but skills still run with agent privileges and no execution sandboxing | | **Recommendations** | Skill execution sandboxing, expanded community review | #### T-PERSIST-002: Skill update poisoning | Attribute | Value | | ----------------------- | ----------------------------------------------------------------------- | | **ATLAS ID** | AML.T0010.001 - Supply Chain Compromise: AI Software | | **Description** | Attacker compromises a popular skill and pushes a malicious update | | **Attack vector** | Account compromise, social engineering of skill owner | | **Affected components** | ClawHub versioning, auto-update flows | | **Current mitigations** | Version fingerprinting, moderation/scanning re-run on new versions | | **Residual risk** | High - auto-updates may pull malicious versions before review completes | | **Recommendations** | Update signing, rollback capability, version pinning | #### T-PERSIST-003: Agent configuration tampering | Attribute | Value | | ----------------------- | --------------------------------------------------------------- | | **ATLAS ID** | AML.T0010.002 - Supply Chain Compromise: Data | | **Description** | Attacker modifies agent configuration to persist access | | **Attack vector** | Config file modification, settings injection | | **Affected components** | Agent config, tool policies | | **Current mitigations** | File permissions | | **Residual risk** | Medium - requires local access | | **Recommendations** | Config integrity verification, audit logging for config changes | --- ### 3.5 Defense evasion (AML.TA0007) #### T-EVADE-001: Moderation pattern bypass | Attribute | Value | | ----------------------- | ------------------------------------------------------------------------------------- | | **ATLAS ID** | AML.T0043 - Craft Adversarial Data | | **Description** | Attacker crafts skill content to evade ClawHub moderation checks | | **Attack vector** | Unicode homoglyphs, encoding tricks, dynamic loading | | **Affected components** | ClawHub moderation/scanning pipeline | | **Current mitigations** | Static pattern rules, AST-adjacent code scanning, LLM agentic-risk review, VirusTotal | | **Residual risk** | Medium - novel obfuscation can still slip past layered heuristics | | **Recommendations** | Continue expanding the pattern/behavioral corpus as new evasions are found | #### T-EVADE-002: Content wrapper escape | Attribute | Value | | ----------------------- | ------------------------------------------------------------------------------------------------------------- | | **ATLAS ID** | AML.T0043 - Craft Adversarial Data | | **Description** | Attacker crafts content that escapes the external-content wrapper context | | **Attack vector** | Tag manipulation, context confusion, instruction override | | **Affected components** | External content wrapping | | **Current mitigations** | Random-boundary XML-style markers + security notice, plus homoglyph/whitespace-variant marker-spoof detection | | **Residual risk** | Medium - novel escapes discovered regularly | | **Recommendations** | Output-side validation in addition to input-side wrapping | --- ### 3.6 Discovery (AML.TA0008) #### T-DISC-001: Tool enumeration | Attribute | Value | | ----------------------- | ----------------------------------------------------- | | **ATLAS ID** | AML.T0040 - AI Model Inference API Access | | **Description** | Attacker enumerates available tools through prompting | | **Attack vector** | "What tools do you have?" style queries | | **Affected components** | Agent tool registry | | **Current mitigations** | None specific | | **Residual risk** | Low - tools are generally documented | | **Recommendations** | Consider tool visibility controls | #### T-DISC-002: Session data extraction | Attribute | Value | | ----------------------- | ------------------------------------------------------- | | **ATLAS ID** | AML.T0040 - AI Model Inference API Access | | **Description** | Attacker extracts sensitive data from session context | | **Attack vector** | "What did we discuss?" queries, context probing | | **Affected components** | Session transcripts, context window | | **Current mitigations** | Session isolation per sender (`agent:channel:peer` key) | | **Residual risk** | Medium - within-session data is accessible by design | | **Recommendations** | Sensitive-data redaction in context | --- ### 3.7 Collection and exfiltration (AML.TA0009, AML.TA0010) #### T-EXFIL-001: Data theft via web_fetch | Attribute | Value | | ----------------------- | -------------------------------------------------------------------------------- | | **ATLAS ID** | AML.T0009 - Collection | | **Description** | Attacker exfiltrates data by instructing the agent to send it to an external URL | | **Attack vector** | Prompt injection causing the agent to POST data to an attacker server | | **Affected components** | `web_fetch` tool | | **Current mitigations** | SSRF blocking for internal/private networks (DNS pinning + IP blocking) | | **Residual risk** | High - arbitrary external URLs remain permitted | | **Recommendations** | URL allowlisting, data-classification awareness | #### T-EXFIL-002: Unauthorized message sending | Attribute | Value | | ----------------------- | -------------------------------------------------------------------- | | **ATLAS ID** | AML.T0009 - Collection | | **Description** | Attacker causes the agent to send messages containing sensitive data | | **Attack vector** | Prompt injection causing the agent to message the attacker | | **Affected components** | Message tool, channel integrations | | **Current mitigations** | Outbound messaging gating | | **Residual risk** | Medium - gating may be bypassed | | **Recommendations** | Explicit confirmation for new recipients | #### T-EXFIL-003: Credential harvesting | Attribute | Value | | ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------- | | **ATLAS ID** | AML.T0009 - Collection | | **Description** | Malicious skill harvests credentials from the agent context | | **Attack vector** | Skill code reads environment variables, config files | | **Affected components** | Skill execution environment | | **Current mitigations** | ClawHub credential-pattern scanning (hardcoded secrets, credential env access paired with network sends); no execution sandboxing for skills at runtime | | **Residual risk** | Critical - skills run with agent privileges | | **Recommendations** | Skill execution sandboxing, credential isolation | --- ### 3.8 Impact (AML.TA0011) #### T-IMPACT-001: Unauthorized command execution | Attribute | Value | | ----------------------- | ---------------------------------------------------------------------------------------------------- | | **ATLAS ID** | AML.T0031 - Erode AI Model Integrity | | **Description** | Attacker executes arbitrary commands on the user system | | **Attack vector** | Prompt injection combined with exec approval bypass | | **Affected components** | Bash tool, command execution | | **Current mitigations** | Exec approvals, Docker sandbox option (default runtime backend) | | **Residual risk** | Critical - host execution possible when sandbox is disabled | | **Recommendations** | Improve approval UX; sandbox-off deployments remain a deliberate operator choice, documented as such | #### T-IMPACT-002: Resource exhaustion (DoS) | Attribute | Value | | ----------------------- | -------------------------------------------------- | | **ATLAS ID** | AML.T0031 - Erode AI Model Integrity | | **Description** | Attacker exhausts API credits or compute resources | | **Attack vector** | Automated message flooding, expensive tool calls | | **Affected components** | Gateway, agent sessions, API provider | | **Current mitigations** | None | | **Residual risk** | High - no per-sender rate limiting | | **Recommendations** | Per-sender rate limits, cost budgets | #### T-IMPACT-003: Reputation damage | Attribute | Value | | ----------------------- | ----------------------------------------------------------- | | **ATLAS ID** | AML.T0031 - Erode AI Model Integrity | | **Description** | Attacker causes the agent to send harmful/offensive content | | **Attack vector** | Prompt injection causing inappropriate responses | | **Affected components** | Output generation, channel messaging | | **Current mitigations** | LLM provider content policies | | **Residual risk** | Medium - provider filters are imperfect | | **Recommendations** | Output filtering layer, user controls | --- ## 4. ClawHub supply chain analysis ### 4.1 Current security controls | Control | Implementation | Effectiveness | | ------------------------------ | ------------------------------------------------------------------------------------- | ------------------------------------------------------------------- | | GitHub account age | `requireGitHubAccountAge()` (14-day minimum) | Medium - raises the bar for new attackers | | Path sanitization | `sanitizePath()` | High - prevents path traversal | | File type validation | `isTextFile()` | Medium - only text files scanned, but still exploitable | | Size limits | 50MB total bundle (`MAX_PUBLISH_TOTAL_BYTES`) | High - prevents resource exhaustion | | Required SKILL.md | Mandatory readme on publish | Low security value - informational only | | Static + AST-adjacent scanning | Pattern engine covering exec, exfiltration, credential-harvest, obfuscation, and more | Medium-High - covers many known abuse patterns, still pattern-based | | LLM-based agentic risk review | Security-prompt-driven verdict on publish | Medium-High - catches behavior static patterns miss | | VirusTotal scanning | Wired to skill and package-release publish/rescan flows, gated on operator API key | High when enabled - static engine detection | | Moderation status | `moderationStatus` field | Medium - manual review possible | ### 4.2 Moderation limitations ClawHub's static scanning inspects skill code content directly (not just slug/metadata/frontmatter), covering dangerous exec calls, dynamic code execution, credential harvesting, exfiltration patterns, obfuscated payloads, and more. Known gaps: - Pattern-based detection can still be bypassed by sufficiently novel obfuscation. - LLM-based review and VirusTotal scanning depend on operator-side API keys/config being enabled. - No runtime execution sandbox isolates a skill from the agent's own privileges once installed. ### 4.3 Badges Skills and packages carry moderator-assigned badges: `highlighted`, `official`, `deprecated`, `redactionApproved` (skills only). Community reporting (`skillReports`) and audit logging (`auditLogs`) back moderation workflows. --- ## 5. Risk matrix ### 5.1 Likelihood vs impact | Threat ID | Likelihood | Impact | Risk level | Priority | | ------------- | ---------- | -------- | ------------ | -------- | | T-EXEC-001 | High | Critical | **Critical** | P0 | | T-PERSIST-001 | High | Critical | **Critical** | P0 | | T-EXFIL-003 | Medium | Critical | **Critical** | P0 | | T-IMPACT-001 | Medium | Critical | **High** | P1 | | T-EXEC-002 | High | High | **High** | P1 | | T-EXEC-004 | Medium | High | **High** | P1 | | T-ACCESS-003 | Medium | High | **High** | P1 | | T-EXFIL-001 | Medium | High | **High** | P1 | | T-IMPACT-002 | High | Medium | **High** | P1 | | T-EVADE-001 | High | Medium | **Medium** | P2 | | T-ACCESS-001 | Low | High | **Medium** | P2 | | T-ACCESS-002 | Low | High | **Medium** | P2 | | T-PERSIST-002 | Low | High | **Medium** | P2 | ### 5.2 Critical path attack chains **Chain 1: Skill-based data theft** ```text T-PERSIST-001 → T-EVADE-001 → T-EXFIL-003 (Publish malicious skill) → (Evade moderation) → (Harvest credentials) ``` **Chain 2: Prompt injection to RCE** ```text T-EXEC-001 → T-EXEC-004 → T-IMPACT-001 (Inject prompt) → (Bypass exec approval) → (Execute commands) ``` **Chain 3: Indirect injection via fetched content** ```text T-EXEC-002 → T-EXFIL-001 → External exfiltration (Poison URL content) → (Agent fetches & follows instructions) → (Data sent to attacker) ``` --- ## 6. Recommendations summary ### 6.1 Immediate (P0) | ID | Recommendation | Addresses | | ----- | ------------------------------------------- | -------------------------- | | R-002 | Implement skill execution sandboxing | T-PERSIST-001, T-EXFIL-003 | | R-003 | Add output validation for sensitive actions | T-EXEC-001, T-EXEC-002 | ### 6.2 Short-term (P1) | ID | Recommendation | Addresses | | ----- | --------------------------------------------------------------------- | ------------ | | R-004 | Implement per-sender rate limiting | T-IMPACT-002 | | R-005 | Add token encryption at rest | T-ACCESS-003 | | R-006 | Improve exec approval UX and continue expanding command normalization | T-EXEC-004 | | R-007 | Implement URL allowlisting for `web_fetch` | T-EXFIL-001 | ### 6.3 Medium-term (P2) | ID | Recommendation | Addresses | | ----- | ----------------------------------------------------- | ------------- | | R-008 | Add cryptographic channel verification where possible | T-ACCESS-002 | | R-009 | Implement config integrity verification | T-PERSIST-003 | | R-010 | Add update signing and version pinning | T-PERSIST-002 | --- ## 7. Appendices ### 7.1 ATLAS technique mapping | ATLAS ID | Technique name | OpenClaw threats | | ------------- | ------------------------------ | ---------------------------------------------------------------- | | AML.T0006 | Active Scanning | T-RECON-001, T-RECON-002 | | AML.T0009 | Collection | T-EXFIL-001, T-EXFIL-002, T-EXFIL-003 | | AML.T0010.001 | Supply Chain: AI Software | T-PERSIST-001, T-PERSIST-002 | | AML.T0010.002 | Supply Chain: Data | T-PERSIST-003 | | AML.T0031 | Erode AI Model Integrity | T-IMPACT-001, T-IMPACT-002, T-IMPACT-003 | | AML.T0040 | AI Model Inference API Access | T-ACCESS-001, T-ACCESS-002, T-ACCESS-003, T-DISC-001, T-DISC-002 | | AML.T0043 | Craft Adversarial Data | T-EXEC-004, T-EVADE-001, T-EVADE-002 | | AML.T0051.000 | LLM Prompt Injection: Direct | T-EXEC-001, T-EXEC-003 | | AML.T0051.001 | LLM Prompt Injection: Indirect | T-EXEC-002 | ### 7.2 Key security files | Path | Purpose | Risk level | | ----------------------------------- | ------------------------------ | ------------ | | `src/infra/exec-approvals.ts` | Command approval logic | **Critical** | | `src/gateway/auth.ts` | Gateway authentication | **Critical** | | `src/infra/net/ssrf.ts` | SSRF protection | **Critical** | | `src/security/external-content.ts` | Prompt injection mitigation | **Critical** | | `src/agents/sandbox/tool-policy.ts` | Sandbox tool allow/deny policy | **Critical** | | `src/routing/resolve-route.ts` | Session isolation / routing | **Medium** | ### 7.3 Glossary | Term | Definition | | -------------------- | --------------------------------------------------------- | | **ATLAS** | MITRE's Adversarial Threat Landscape for AI Systems | | **ClawHub** | OpenClaw's skill marketplace | | **Gateway** | OpenClaw's message routing and authentication layer | | **MCP** | Model Context Protocol - tool provider interface | | **Prompt injection** | Attack where malicious instructions are embedded in input | | **Skill** | Downloadable extension for OpenClaw agents | | **SSRF** | Server-Side Request Forgery | --- _This threat model is a living document. Report security issues to `security@openclaw.ai` or see the [Trust page](https://trust.openclaw.ai)._ ## Related - [Contributing to the threat model](/security/CONTRIBUTING-THREAT-MODEL) - [Incident response](/security/incident-response) - [Network proxy](/security/network-proxy) - [Formal verification](/security/formal-verification)