Low Risk

phishing_check

Query URLhaus for a specific URL and its host. is_malicious is True only when there is ACTIVE evidence — exact URL match with url_status='online' (or unknown) OR host has urls_online > 0. URLhaus retains historical records forever, so a host can have url_count > 0 with urls_online == 0; in that c...

Accepts URL/endpoint input (url); Single-target operation

Part of the ContrastAPI MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call phishing_check to retrieve information from ContrastAPI without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though phishing_check only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

contrastcyber-contrastapi.yaml
tools:
  phishing_check:
    rules:
      - action: allow

See the full ContrastAPI policy for all 53 tools.

Tool Name phishing_check
Category Read
Risk Level Low

View all 53 tools →

Agents calling read-class tools like phishing_check have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the phishing_check tool do? +

Query URLhaus for a specific URL and its host. is_malicious is True only when there is ACTIVE evidence — exact URL match with url_status='online' (or unknown) OR host has urls_online > 0. URLhaus retains historical records forever, so a host can have url_count > 0 with urls_online == 0; in that case is_malicious=False, is_stale=True, threat_level='low'. Use for URL-level threat assessment; use threat_intel for domain-level checks. Companion threat-investigation tools: ioc_lookup (multi-source IOC: ThreatFox + URLhaus + Feodo Tracker, auto-detect type), hash_lookup (file-hash malware family, MalwareBazaar), threat_intel (domain-level URLhaus only). Free: 30/hr, Pro: 500/hr. Returns {url, host, is_malicious, is_stale, urlhaus_host:{found,urls_online,url_count}, urlhaus_url:{found,threat,tags,status}, threat_level, summary}.. It is categorised as a Read tool in the ContrastAPI MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on phishing_check? +

Add a rule in your Intercept YAML policy under the tools section for phishing_check. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the ContrastAPI MCP server.

What risk level is phishing_check? +

phishing_check is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit phishing_check? +

Yes. Add a rate_limit block to the phishing_check rule in your Intercept policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block phishing_check completely? +

Set action: deny in the Intercept policy for phishing_check. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides phishing_check? +

phishing_check is provided by the ContrastAPI MCP server (contrastcyber/contrastapi). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

// GET IN TOUCH

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