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mcp/dimensions.py held the curated column set and identity column for each dimension. An export writes those same columns, and mcp/ is not mounted in the worker, so they move to shared/definitions/surface.py beside the labels and nouns. The tool registry reads them from there. SURFACE_TEXT_VALUE joins them: the value a plain text export writes per line. It is not the identity column everywhere — a service is ip:port, and a finding is the URL it was matched at rather than its template name. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01LYZfaNjq3Ym8GPvWYuHisS
175 lines
4.8 KiB
Python
175 lines
4.8 KiB
Python
"""The result dimensions a scan produces, named as the UI names them."""
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from __future__ import annotations
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from enum import StrEnum
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from shared.enums.scan import AssetKind
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class SurfaceDimension(StrEnum):
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WEB_ASSETS = "web_assets"
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ENDPOINTS = "endpoints"
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SERVICES = "services"
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IPS = "ips"
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VULNERABILITIES = "vulnerabilities"
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SOFTWARE = "software"
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SURFACE_ORDER: tuple[str, ...] = tuple(d.value for d in SurfaceDimension)
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SURFACE_LABELS: dict[str, str] = {
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SurfaceDimension.WEB_ASSETS.value: "Web assets",
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SurfaceDimension.ENDPOINTS.value: "Endpoints",
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SurfaceDimension.SERVICES.value: "Services",
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SurfaceDimension.IPS.value: "IP addresses",
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SurfaceDimension.VULNERABILITIES.value: "Vulnerabilities",
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SurfaceDimension.SOFTWARE.value: "Software",
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}
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SURFACE_NOUN: dict[str, tuple[str, str]] = {
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SurfaceDimension.WEB_ASSETS.value: ("web asset", "web assets"),
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SurfaceDimension.ENDPOINTS.value: ("endpoint", "endpoints"),
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SurfaceDimension.SERVICES.value: ("service", "services"),
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SurfaceDimension.IPS.value: ("address", "addresses"),
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SurfaceDimension.VULNERABILITIES.value: ("finding", "findings"),
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SurfaceDimension.SOFTWARE.value: ("software CVE", "software CVEs"),
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}
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SURFACE_KINDS: dict[str, frozenset[str]] = {
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SurfaceDimension.WEB_ASSETS.value: frozenset(
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{AssetKind.HOSTS.value, AssetKind.HTTP_ASSETS.value}
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),
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SurfaceDimension.ENDPOINTS.value: frozenset({AssetKind.ENDPOINTS.value}),
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SurfaceDimension.SERVICES.value: frozenset({AssetKind.PORTS.value}),
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SurfaceDimension.IPS.value: frozenset({AssetKind.ADDRESSES.value}),
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SurfaceDimension.VULNERABILITIES.value: frozenset(
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{AssetKind.VULNERABILITIES.value}
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),
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# inferred from what the probe stages report, never produced by a stage of its own
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SurfaceDimension.SOFTWARE.value: frozenset(
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{AssetKind.HTTP_ASSETS.value, AssetKind.PORTS.value}
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),
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}
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SURFACE_COUNT_COLUMNS: dict[str, tuple[str, ...]] = {
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SurfaceDimension.WEB_ASSETS.value: ("subdomains_found", "http_assets_found"),
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SurfaceDimension.ENDPOINTS.value: ("endpoints_found",),
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SurfaceDimension.SERVICES.value: ("open_ports_found",),
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SurfaceDimension.IPS.value: ("ips_found",),
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SurfaceDimension.VULNERABILITIES.value: ("vulnerabilities_found",),
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}
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# the columns a person reads, in the order an export writes them
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SURFACE_COLUMNS: dict[str, tuple[str, ...]] = {
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SurfaceDimension.WEB_ASSETS.value: (
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"name",
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"http_status",
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"page_title",
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"http_url",
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"tech",
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"webserver",
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"resolved_ips",
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"cname",
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"is_cdn",
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"cdn_name",
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"waf",
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"asn_org",
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"ports",
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"tls_expired",
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"endpoint_count",
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"vuln_count",
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"vuln_severity",
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"vuln_kev",
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),
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SurfaceDimension.ENDPOINTS.value: (
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"url",
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"host",
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"path",
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"status_code",
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"content_type",
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"content_length",
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"title",
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"methods",
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"param_count",
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"endpoint_class",
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"interest",
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"primary_source",
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"is_probed",
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"is_new",
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),
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SurfaceDimension.SERVICES.value: (
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"ip",
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"port",
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"protocol",
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"service_name",
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"service_class",
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"product",
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"version",
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"is_http",
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"tls",
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"status_code",
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"title",
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"url",
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"hosts",
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"asn_org",
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"country",
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"is_cdn",
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"is_sensitive",
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"source",
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"is_new",
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),
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SurfaceDimension.IPS.value: (
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"ip",
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"version",
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"asn",
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"asn_org",
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"country",
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"prefix",
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"is_cdn",
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"cdn_name",
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"is_alive",
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"ports",
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"port_count",
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"host_count",
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"hosts",
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"has_sensitive",
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),
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SurfaceDimension.VULNERABILITIES.value: (
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"fingerprint",
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"template_id",
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"template_name",
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"severity",
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"scanner",
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"matched_at",
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"host",
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"ip",
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"port",
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"cve_ids",
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"cvss_score",
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"epss_score",
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"is_kev",
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"state",
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"is_new",
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"tags",
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),
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}
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# the column a human reads first
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SURFACE_IDENTITY: dict[str, str] = {
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SurfaceDimension.WEB_ASSETS.value: "name",
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SurfaceDimension.ENDPOINTS.value: "url",
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SurfaceDimension.SERVICES.value: "ip",
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SurfaceDimension.IPS.value: "ip",
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SurfaceDimension.VULNERABILITIES.value: "template_name",
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}
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# the one value a plain text export writes per line, for piping into the next tool
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SURFACE_TEXT_VALUE: dict[str, tuple[str, ...]] = {
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SurfaceDimension.WEB_ASSETS.value: ("name",),
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SurfaceDimension.ENDPOINTS.value: ("url",),
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SurfaceDimension.SERVICES.value: ("ip", "port"),
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SurfaceDimension.IPS.value: ("ip",),
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SurfaceDimension.VULNERABILITIES.value: ("matched_at",),
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}
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