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riposte-marketplace/integrations/rapid7-insightidr/mappers/get_investigations_full.yaml
T
f3nris ece2c41340 docs(mappers): time no longer dates detection
Eight mappers (Cortex XDR, CrowdStrike, Rapid7) still called the OCSF
`time` field "the MTTD anchor" that Riposte reads to stamp detected_at.
Riposte retired MTTD in migration 0256 and stamps detection at
ingestion for every alert; the mappings stay, as the alert's own record
of when the source saw the event. Comments only: no mapping changes.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-07 09:56:50 +00:00

244 lines
20 KiB
YAML

name: "Rapid7 InsightIDR Investigations (full) → OCSF"
description: |
Maps one Rapid7 investigation fetched with its alerts inlined
(get_investigations_full, results_path = data) to OCSF finding fields.
The plain investigation feed cannot carry a detection: idr/v2/investigations answers
with a title, a priority, a status, an assignee and timestamps, and nothing else. An
incident built from it indexes zero entities. This mapper reads the same investigation
plus the alerts the command inlined under `alerts`, where the detection content
actually lives.
Investigation values are mapped first and the first alert's equivalents after, so the
alert wins wherever the container says nothing. `alerts` is empty on an investigation
whose alerts could not be read (the command sets alerts_error) — every alert path then
resolves to nothing and is skipped, and the incident degrades to what the investigation
alone says rather than failing.
field_mappings:
title: "title"
# toSeverity maps CRITICAL→5, HIGH→4, MEDIUM→3, LOW→2; anything else falls back to the
# alert rule's default severity.
severity: "priority"
source: "source"
# The log line's own sentence beats a generic title when there is one.
description: "first_evidence_message"
# Rapid7's own triage state. It cannot reach the incident's status and verdict columns
# — MapFields accepts only title, severity, source, description and custom:* — so it
# rides as custom fields, where an analyst at least sees that the source already closed
# this and what it concluded.
"custom:rapid7_status": "status"
"custom:rapid7_disposition": "disposition"
# Rapid7's AI suggestion, exposed as a fact and never as a verdict.
# first_alert_* are lifted to the top level by the command on purpose: this
# mapper section resolves dotted paths only and cannot index an array, so
# `alerts[0].x` here would read as nothing — silently, leaving the custom field
# empty with no error. The ocsf section below is full JSONata and indexes freely.
"custom:rapid7_ai_disposition": "first_alert_ai_disposition"
"custom:rapid7_alert_count": "alert_count"
"custom:rapid7_log_id": "first_alert_log_id"
"custom:rapid7_logset_id": "first_alert_logset_id"
"custom:rapid7_rule_rrn": "first_alert_rule_rrn"
"custom:rapid7_event_type": "first_alert_event_type"
# Every key the detection emitted, rendered as Markdown. Declare a custom field
# named rapid7_summary of type markdown and place it on the layout: it shows
# what no OCSF mapping can, because the layout's field picker only offers paths
# from the OCSF catalogue and this vocabulary is open-ended.
"custom:rapid7_summary": "summary_markdown"
# One row per evidence, across every alert. Declare a custom field named
# rapid7_evidence of type table: it reads an array of objects as it stands, so
# nothing is reshaped here. It sits beside the Markdown summary rather than
# replacing it — the summary reads as a page, this one sorts and filters.
"custom:rapid7_evidence": "evidence_rows"
ocsf:
# ── Finding: the investigation ────────────────────────────────────
- { source_path: "rrn", ocsf_field: "finding_info.uid" }
- { source_path: "title", ocsf_field: "finding_info.title" }
- { source_path: "created_time", ocsf_field: "finding_info.created_time" }
- { source_path: "last_accessed", ocsf_field: "finding_info.modified_time" }
- { source_path: "first_alert_time", ocsf_field: "finding_info.first_seen_time" }
- { source_path: "latest_alert_time", ocsf_field: "finding_info.last_seen_time" }
- { source_path: "tags", ocsf_field: "metadata.labels" }
- { source_path: "alert_count", ocsf_field: "count" }
# ── Incident state ────────────────────────────────────────────────
- { source_path: "status", ocsf_field: "status" }
- { source_path: "priority", ocsf_field: "priority" }
- { source_path: "disposition", ocsf_field: "disposition" }
- { source_path: "source", ocsf_field: "activity_name" }
- { source_path: "organization_id", ocsf_field: "cloud.org.uid" }
- { source_path: "assignee.name", ocsf_field: "assignee.name" }
- { source_path: "assignee.email", ocsf_field: "assignee.email_addr" }
# ── Event time (OCSF `time`) ───────────────────────────────────────
# Riposte no longer reads it to date detection (MTTD retired, migration 0256):
# it is the alert's own record of when the source saw the event.
# Weakest first, strongest last. The investigation is created after the alert that
# opened it; the alert's own alerted_at is when the event happened in the source system.
- { source_path: "created_time", ocsf_field: "time" }
- { source_path: "first_alert_time", ocsf_field: "time" }
- { source_path: "alerts[0].alerted_at", ocsf_field: "time" }
# ── The detection rule, from the first alert ──────────────────────
# `rule.name` is documented but absent from live ABA alerts, so `type` — which repeats
# the rule's display name — is the honest fallback.
- { source_path: "alerts[0].type", ocsf_field: "finding_info.analytic.name" }
- { source_path: "alerts[0].rule.rrn", ocsf_field: "finding_info.analytic.uid" }
- { source_path: "alerts[0].rule.version_rrn", ocsf_field: "finding_info.analytic.version" }
- { source_path: "alerts[0].rrn", ocsf_field: "finding_info.uid_alt" }
# ── Product identity ──────────────────────────────────────────────
- { source_path: "'Rapid7 InsightIDR'", ocsf_field: "metadata.product.name" }
- { source_path: "'Rapid7'", ocsf_field: "metadata.product.vendor_name" }
- { source_path: "alerts[0].external_source", ocsf_field: "metadata.log_source" }
- { source_path: "alerts[0].triggering_event_type", ocsf_field: "metadata.event_code" }
- { source_path: "alerts[0].log_details[0].log_entry_id", ocsf_field: "metadata.uid" }
# ── MITRE ATT&CK ──────────────────────────────────────────────────
# mitre_tcodes mixes both kinds in one array: "TA0040" is a tactic, "T1490" a technique.
# Splitting on the "TA" prefix keeps a tactic out of the technique field, where it would
# name a technique that does not exist.
- { source_path: "alerts[0].rule.mitre_tcodes[$substring($, 0, 2) = 'TA'][0]", ocsf_field: "attacks.tactic.uid" }
- { source_path: "alerts[0].rule.mitre_tcodes[$substring($, 0, 2) != 'TA'][0]", ocsf_field: "attacks.technique.uid" }
# ── The affected host ─────────────────────────────────────────────
- { source_path: "alerts[0].rule_keys_of_interest[key='hostname'].values[0]", ocsf_field: "device.hostname" }
- { source_path: "alerts[0].rule_keys_of_interest[key='hostname'].values[0]", ocsf_field: "src_endpoint.hostname" }
# ── The process the alert is about ────────────────────────────────
- { source_path: "alerts[0].rule_keys_of_interest[key='process.name'].values[0]", ocsf_field: "process.name" }
- { source_path: "alerts[0].rule_keys_of_interest[key='process.name'].values[0]", ocsf_field: "process.file.name" }
- { source_path: "alerts[0].rule_keys_of_interest[key='process.cmd_line'].values[0]", ocsf_field: "process.cmd_line" }
- { source_path: "alerts[0].rule_keys_of_interest[key='process.exe_path'].values[0]", ocsf_field: "process.file.path" }
- { source_path: "alerts[0].rule_keys_of_interest[key='process.exe_file.hashes.md5'].values[0]", ocsf_field: "process.file.hashes.md5" }
- { source_path: "alerts[0].rule_keys_of_interest[key='process.exe_file.hashes.sha256'].values[0]", ocsf_field: "process.file.hashes.sha256" }
# ── Its parent, which says how it was launched ────────────────────
- { source_path: "alerts[0].rule_keys_of_interest[key='parent_process.name'].values[0]", ocsf_field: "actor.process.parent_process.name" }
- { source_path: "alerts[0].rule_keys_of_interest[key='parent_process.cmd_line'].values[0]", ocsf_field: "actor.process.parent_process.cmd_line" }
- { source_path: "alerts[0].rule_keys_of_interest[key='parent_process.exe_path'].values[0]", ocsf_field: "actor.process.parent_process.file.path" }
- { source_path: "alerts[0].rule_keys_of_interest[key='parent_process.exe_file.hashes.md5'].values[0]", ocsf_field: "actor.process.parent_process.file.hashes.md5" }
# ── The acting account ────────────────────────────────────────────
# This tenant's field catalogue has no canonical user namespace, so an account only
# appears when a rule names it among its keys of interest. Both spellings are mapped
# because rules are not consistent about which they emit.
- { source_path: "alerts[0].rule_keys_of_interest[key='user'].values[0]", ocsf_field: "actor.user.name" }
- { source_path: "alerts[0].rule_keys_of_interest[key='username'].values[0]", ocsf_field: "actor.user.name" }
# ── Lateral movement: source and destination ──────────────────────
# An asset_auth rule describes a connection, so it names BOTH ends and neither
# is "the host": source_asset_address / destination_asset_address, and
# source_account / destination_account. Mapping them to src_endpoint and
# dst_endpoint is not only the correct OCSF shape — it is also what makes them
# appear in the layout builder, whose field picker is a closed <select> over
# the OCSF catalogue. A path that is not in that catalogue cannot be placed on
# a layout at all, which is why `detection` below, useful as it is, only ever
# shows up in the Context tab.
- { source_path: "alerts[0].rule_keys_of_interest[key='source_asset_address'].values[0]", ocsf_field: "src_endpoint.hostname" }
- { source_path: "alerts[0].rule_keys_of_interest[key='destination_asset_address'].values[0]", ocsf_field: "dst_endpoint.hostname" }
- { source_path: "alerts[0].rule_keys_of_interest[key='destination_asset'].values[0]", ocsf_field: "dst_endpoint.hostname" }
# actor.user is who acted, user is who it was done TO. Keeping them apart is
# what lets an analyst read a lateral move in one line.
- { source_path: "alerts[0].rule_keys_of_interest[key='source_account'].values[0]", ocsf_field: "actor.user.name" }
- { source_path: "alerts[0].rule_keys_of_interest[key='destination_account'].values[0]", ocsf_field: "user.name" }
# ── Every key the rule found interesting ──────────────────────────
# rule_keys_of_interest is an OPEN vocabulary: each detection rule names its own
# keys. A process_start_event rule emits hostname / process.cmd_line /
# parent_process.*; an ingress_auth rule emits account / source_ip /
# geoip_country_code / result and none of the above. The explicit entries below
# can therefore only ever cover the rules someone has already seen — on any
# other rule they all resolve to nothing and the incident is empty again, which
# is the exact failure this integration started from.
#
# So the whole list is also flattened, verbatim, into one object. Keys nobody
# anticipated arrive intact and are visible to the analyst and to the AI
# analysis, which reads the mapped context but never `raw`. The explicit
# mappings stay because they are what types an entity correctly — a value under
# `detection.` is only ever matched by the IOC regex, so an account there would
# never be indexed as a user.
- { source_path: "alerts[0].rule_keys_of_interest{key: values[0]}", ocsf_field: "detection" }
- { source_path: "alerts[0].rule_matching_keys{key: values[0]}", ocsf_field: "detection_match" }
# ── Keys seen on non-process rules ────────────────────────────────
- { source_path: "alerts[0].rule_keys_of_interest[key='account'].values[0]", ocsf_field: "actor.user.account.name" }
- { source_path: "alerts[0].rule_keys_of_interest[key='source_ip'].values[0]", ocsf_field: "src_endpoint.ip" }
- { source_path: "alerts[0].rule_keys_of_interest[key='destination_ip'].values[0]", ocsf_field: "dst_endpoint.ip" }
- { source_path: "alerts[0].rule_keys_of_interest[key='geoip_country_code'].values[0]", ocsf_field: "src_endpoint.location.country" }
- { source_path: "alerts[0].rule_keys_of_interest[key='result'].values[0]", ocsf_field: "status_detail" }
# ── The evidence: the log line the alert was raised on ────────────
# An alert names what fired; the evidence is what actually happened. It lives
# in a JSON-encoded string the command parses and normalises into
# evidence_fields — see get_investigations_full.py. Vendor prefixes are
# stripped there (Forti_srcip -> srcip), so one entry serves every log source
# that names its fields the usual way.
- { source_path: "alerts[0].evidence_fields", ocsf_field: "evidence" }
- { source_path: "alerts[0].evidence_fields.srcip", ocsf_field: "src_endpoint.ip" }
# A parsed source states the same things under its own names. Both spellings
# are mapped rather than picked between: which one arrives depends on whether
# the log source was parsed by Rapid7, and one file has to serve both.
- { source_path: "alerts[0].evidence_fields.source_ip", ocsf_field: "src_endpoint.ip" }
- { source_path: "alerts[0].evidence_fields.account", ocsf_field: "actor.user.account.name" }
- { source_path: "alerts[0].evidence_fields.user_rrn", ocsf_field: "actor.user.uid" }
- { source_path: "alerts[0].evidence_fields.geoip_country_code", ocsf_field: "src_endpoint.location.country" }
- { source_path: "alerts[0].evidence_fields.geoip_organization", ocsf_field: "src_endpoint.isp_org" }
- { source_path: "alerts[0].evidence_fields.user_agent", ocsf_field: "http_request.user_agent" }
- { source_path: "alerts[0].evidence_fields.service", ocsf_field: "metadata.product.feature.name" }
- { source_path: "alerts[0].evidence_fields.result", ocsf_field: "status_detail" }
- { source_path: "alerts[0].evidence_fields.dstip", ocsf_field: "dst_endpoint.ip" }
- { source_path: "alerts[0].evidence_fields.srcport", ocsf_field: "src_endpoint.port" }
- { source_path: "alerts[0].evidence_fields.dstport", ocsf_field: "dst_endpoint.port" }
- { source_path: "alerts[0].evidence_fields.user", ocsf_field: "actor.user.name" }
- { source_path: "alerts[0].evidence_fields.devname", ocsf_field: "device.name" }
- { source_path: "alerts[0].evidence_fields.devname", ocsf_field: "device.hostname" }
- { source_path: "alerts[0].evidence_fields.devid", ocsf_field: "device.uid" }
- { source_path: "alerts[0].evidence_fields.hostname", ocsf_field: "device.hostname" }
- { source_path: "alerts[0].evidence_fields.status", ocsf_field: "status_detail" }
# `action` is what the source system did ("login"), which says more than the
# investigation's own `source` ("ALERT"). Mapped after it so it wins.
- { source_path: "alerts[0].evidence_fields.action", ocsf_field: "activity_name" }
# The line itself, on the OCSF field meant for it — and one the layout builder
# offers, unlike `evidence` above, which only ever shows in the Context tab.
- { source_path: "alerts[0].evidence_raw_line", ocsf_field: "raw_data" }
- { source_path: "alerts[0].evidence_fields.msg ? alerts[0].evidence_fields.msg : alerts[0].evidence_fields.logdesc", ocsf_field: "message" }
# ── Who did it to whom ────────────────────────────────────────────
# An ad_admin rule names an actor and a target account, and mapping only the
# actor loses the victims — on "Multiple User Accounts Were Disabled" the
# disabled accounts are the whole point of the alert.
- { source_path: "alerts[0].evidence_fields.target_account", ocsf_field: "user.name" }
- { source_path: "alerts[0].evidence_fields.target_user", ocsf_field: "user.full_name" }
- { source_path: "alerts[0].evidence_fields.target_user_domain", ocsf_field: "user.domain" }
- { source_path: "alerts[0].evidence_fields.source_user", ocsf_field: "actor.user.full_name" }
- { source_path: "alerts[0].evidence_fields.source_user_domain", ocsf_field: "actor.user.domain" }
- { source_path: "alerts[0].evidence_fields.source_account", ocsf_field: "actor.user.name" }
# The machine the event was recorded on. A Windows event puts it in
# source_json.computerName and nowhere else; source_asset is the parsed field
# when the source fills it, and is dropped when it says "unknown".
- { source_path: "alerts[0].evidence_fields.source_asset", ocsf_field: "device.hostname" }
- { source_path: "alerts[0].evidence_fields.computername", ocsf_field: "device.hostname" }
- { source_path: "alerts[0].evidence_fields.osversion", ocsf_field: "device.os.name" }
- { source_path: "alerts[0].evidence_fields.calleripaddress", ocsf_field: "src_endpoint.ip" }
# ── Process tree ──────────────────────────────────────────────────
# The layout block reads ctx.process_tree: N flat chains, root first, each
# {alert_id, rule, host, user, nodes[]}. Rapid7 nests its tree through
# `children`, so the command flattens each root-to-leaf path into one chain
# and rolls every alert's chains up to the investigation — see
# get_investigations_full.py. Passed through verbatim; nothing to reshape here.
- { source_path: "process_tree", ocsf_field: "process_tree" }
# ── Every alert, not just the first ───────────────────────────────
# An investigation aggregates alerts, and the fields above only ever read alerts[0].
# This entry lands the whole set as OCSF-shaped objects, so the host and the process of
# the SECOND and THIRD alert are indexed as entities too — the extractor walks arrays
# and classifies on the path's suffix, so `.hostname` under here counts exactly as
# `device.hostname` does above.
# The brackets force an array. Without them JSONata returns a bare OBJECT when
# the investigation holds a single alert and an array when it holds two, so the
# same key had two shapes depending on how busy the attacker was.
- source_path: >
[alerts.{
"uid": rrn,
"title": title,
"time": alerted_at,
"status": status,
"disposition": disposition,
"hostname": rule_keys_of_interest[key='hostname'].values[0],
"src_hostname": rule_keys_of_interest[key='source_asset_address'].values[0],
"dst_hostname": rule_keys_of_interest[key='destination_asset_address'].values[0],
"actor_user": rule_keys_of_interest[key='source_account'].values[0],
"target_user": rule_keys_of_interest[key='destination_account'].values[0],
"process": rule_keys_of_interest[key='process.name'].values[0],
"cmd_line": rule_keys_of_interest[key='process.cmd_line'].values[0],
"technique": rule.mitre_tcodes[$substring($, 0, 2) != 'TA'][0],
"detection": rule_keys_of_interest{key: values[0]},
"evidence": evidence_fields
}]
ocsf_field: "evidences"