Nullcone

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• Submit Ioc

  Submit a threat indicator (IOC) to the shared intelligence network. The IOC is automatically classified into a malware family, metadata is compressed, and deduplication is handled atomically. All subscribed agents see the new IOC instantly. Args: ioc_type: IOC category. One of: hash_md5, hash_sha1, hash_sha256, ip, ip_port, domain, url, yara, email, mutex, registry, filepath, asn, ja3, imphash, cve, prompt, skill valu

• Submit Batch

  Submit multiple IOCs in a single call. Preferred over looping submit_ioc for bulk ingest from honeypots, sandboxes, or feed processing. Each dict in `iocs` follows the same schema as submit_ioc parameters. Required keys: ioc_type, value. All others are optional. Returns one result dict per input IOC in the same order. Args: iocs: List of IOC dicts. Each must have 'ioc_type' and 'value'. Optional: severity, confidence, context, tags, source, family_hin

• Lookup Ioc

  Look up a threat signature by its exact IOC value. Returns the full signature record if found, including severity, family, detection count, and false positive votes. Args: value: The exact IOC value to search for (e.g. "evil.example.com")

• Recent Threats

  Return the most recently observed threat signatures. Args: limit: Max number of results to return (1-200) min_severity: Minimum severity level (0-10). Default 5 (medium+)

• Family Threats

  Return all threat signatures associated with a known malware family. Use list_families() first to discover available family names. Args: family_name: Exact malware family name (e.g. "emotet", "qbot", "cobalt_strike") limit: Max results to return (1-500). Default 50.

• List Families

  Return all known malware families in the intelligence database. Each entry includes the family name, description, and category. Use family_threats(family_name) to retrieve the IOCs for a specific family.

• Search By Type

  Return threat signatures filtered by IOC type. Useful for pulling all known-bad IPs, all malicious domains, all malicious AI skill hashes, etc. Args: ioc_type: One of: hash_md5, hash_sha1, hash_sha256, ip, ip_port, domain, url, yara, email, mutex, filepath, asn, ja3, imphash, cve, prompt, skill limit: Max results to return (1-1000). Default 50. min_severity: Minimum severity (0-10). Default 0 (all).

• Report Detection

  Report that you detected and acted on a known threat signature. Increments the signature's detection count and creates a ThreatEvent visible to all other agents in real-time. Args: signature_id: ID of the ThreatSignature (from submit_ioc or lookup_ioc) action: Action taken. One of: logged, alerted, blocked, quarantined, eradicated context: Optional dict with additional context (process name, path, etc.)

• Vote False Positive

  Flag a threat signature as a likely false positive. When more than 20% of agents vote false positive on a signature, its `is_likely_fp` flag becomes True — a signal to review before blocking. Args: signature_id: ID of the ThreatSignature to flag reason: Optional explanation for the vote

• Poll Since

  Fetch new threat signatures since a high-water mark ID. This is the recommended sync pattern — one call, get new data, persist next_id, disconnect. No persistent connection required. Call with last_id=0 on first run to get all signatures. Persist the returned next_id and pass it on the next call to get only new entries. If count == batch_size, call again immediately to drain backlog. Args: last_id: Last signature ID seen (0 for all). Persist this between ca

• Get Stats

  Return aggregate statistics for the threat intelligence database. Includes total signatures, known malware families, active agents, and total detection events.

• Validate Skill

  Synchronous SKILL IOC lookup — call this before loading or invoking any MCP tool/skill to check it against the Nullcone threat feed. This is the pre-invocation enforcement hook. Returns an allow/warn/block decision based on whether the skill hash is a known-malicious indicator. Args: skill_hash: SHA256 of the skill manifest (preferred identifier) skill_name: Human-readable skill name (for logging) manifest_url: URL of the skill manifest (fallback if

• Scan Skill Content

  Pre-execution content scan for skill/instruction files. Analyzes the full text of a skill (markdown, plain text, SKILL.md, etc.) for malicious patterns BEFORE the agent follows the instructions. This is the critical defense against remote skill-mediated credential exfiltration (CodeMax attack class, 2026-03-14) where model-level safety only fires AFTER the payload has already executed. Call this on any skill/instruction content fetched from the web before executing

• Get New Threats

  Drain the live push-subscription buffer of threats received since the last call. Zero-polling — threats are delivered via SpacetimeDB WebSocket subscription and buffered server-side. Use this instead of poll_since() when you need sub-second latency without maintaining your own WebSocket connection. The MCP server maintains the subscription; you just drain the buffer on demand. Args: drain: If True (default), clear the buffer after returning. Set False

• Warm Prompt Cache

  Load all PROMPT IOCs from SpacetimeDB into the in-memory hash set. Call once at startup (or after a major feed update) to populate the sub-1ms query cache. Subsequent check_prompt() calls require no network access. The cache auto-refreshes every 5 minutes in the background. Returns: loaded: Number of PROMPT IOC hashes loaded duration_ms: Time taken to warm the cache window_sizes: Token window sizes used for querying

• Check Prompt

  Check a prompt or text fragment for known PROMPT IOC patterns. Uses an in-memory hash set for sub-1ms token-level querying — no network calls after the cache is warmed. Slides a window of 3, 5, 8, and 10 tokens across the input and checks each window's canonical SHA256 against the PROMPT IOC feed. This is the primary real-time prompt injection detection endpoint. Call it on every user-supplied prompt before passing to the LLM. Args: text: The prompt te

• Check Prompt Batch

  Check multiple prompts for PROMPT IOC patterns in a single call. More efficient than calling check_prompt() in a loop — tokenization overhead is amortized and the cache reference is shared. Args: texts: List of prompt strings to check Returns: One result dict per input text, in the same order.

• Prompt Cache Stats

  Return PROMPT IOC cache statistics: size, hit rate, latency, refresh status. Use this to verify the cache is warmed and healthy before relying on check_prompt() for real-time detection.

• Check Freshness

  Validate that IOC threat intelligence is fresh enough for the named action. Call this before any high-risk agent action to ensure the TI snapshot is not stale. The check itself completes in <1ms (no network I/O). Action → staleness tier mapping: critical (≤30s): credential_access, keychain_access, execute_shell, sudo high (≤120s): load_skill, install_package, network_call, http_request medium (≤300s): file_write, file_delete, registry_write, env_write

• Freshness Limits

  Return the configured IOC freshness limits for all action tiers. Shows max staleness, warn threshold, and which actions belong to each tier. Use this to understand when check_freshness() will warn or block.

• Fingerprint Tool Metadata

  Analyze an MCP tool definition for instruction-injection and malicious patterns. Performs semantic fingerprinting of the tool's description, parameter schemas, and error templates — detecting credential exfiltration vectors, C2 callbacks, base64 payloads, authority spoofing, and injection phrase patterns. Also checks the tool hash against the SKILL IOC feed and the description against the PROMPT IOC feed for known-malicious matches. If track=True (default), the tool de

• Registry Monitor Stats

  Return MCP registry monitoring statistics. Shows how many tool definitions are tracked, how many have been flagged, and the current drift detection rate.

• Registry Flagged Tools

  Return all MCP tools that have been flagged as suspicious or malicious. Includes tools flagged on initial ingestion (high-risk fingerprint) and tools that showed significant semantic drift on update.

• Subscribe Threats

  Open a named, stateful subscription to live threat push delivery. Returns a subscription_id. Pass it to drain_subscription() to collect the IOCs that have arrived since your last drain — zero polling, each caller gets their own isolated stream. Multiple subscribers receive independent copies of every matching IOC. Subscriptions expire after 1 hour of inactivity (no drain calls). Composition filters let you narrow the stream: - ioc_types: only deliver these IOC ty

• Drain Subscription

  Drain the buffer of a stateful subscription created by subscribe_threats(). Returns all IOCs delivered to this subscription since the last drain. Each subscription is independent — draining yours does not affect others. Args: subscription_id: The ID returned by subscribe_threats() drain: If True (default), clear the buffer after returning. Set False to peek without consuming. Returns: signatures: List of new threa