Files
riposte-marketplace/integrations/rapid7-insightidr/scripts/get_investigations_full.py
T
f3nris b26257aaeb feat(rapid7-insightidr): render the detection as Markdown, and fix four gaps (v1.10.0)
An "Multiple User Accounts Were Disabled" investigation came back with one
entity — the actor — while the layout stayed nearly empty. Four separate
reasons, and the last one is why the first three keep recurring.

  evidences was an OBJECT, not an array. JSONata returns a bare object when the
  path yields one item, so the key had one shape on an investigation with a
  single alert and another with two. Bracketed to force an array.

  Only the actor was mapped. An ad_admin rule names who acted AND who it was
  done to, and on this alert the disabled accounts are the point of it. Target
  account, target user and both domains now map to the OCSF Target User group,
  the actor to Actor — the distinction that lets the sentence be read in one
  line.

  The domain controller was nowhere. A Windows event puts it in
  source_json.computerName and nowhere else, and source_json was skipped whole
  because the Azure AD one runs to kilobytes. Its top-level SCALARS are now
  read — bounded, and where computerName, osVersion and callerIpAddress live —
  while its nested part stays skipped.

  source_asset was the string "unknown". Mapped as-is it becomes an asset named
  "unknown" in the entity index, shared by every incident that had no asset: a
  pivot that groups things by the absence of a fact. Placeholders are dropped,
  and a key whose value cleans away to nothing is removed rather than kept
  empty, since "" is not nil and would still be written to its OCSF field.

Five entities now, from one: both accounts, both display names, the DC.

And the reason this kept happening. The layout builder's field picker is a
closed <select> over the OCSF catalogue in web/src/lib/ocsf.ts, so a path absent
from it cannot be placed on a layout at all — which is what `detection` and
`evidence` are, and what every unanticipated key will be. Mapping each one to a
real OCSF field is right where a field exists, but rule_keys_of_interest is an
open vocabulary: four spellings turned up in as many days.

So the whole of it is also rendered as a Markdown table into
custom:rapid7_summary — keys of interest first, since the rule itself says
those are what matter, then the evidence fields. Declare a custom field of type
markdown with that name, put it on the layout, and a new rule type is readable
the day it appears instead of after another mapping round.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-08 18:04:14 +02:00

610 lines
26 KiB
Python

import json, os, sys, urllib.request, urllib.parse, urllib.error
# The Alert Triage API lives under /idr/at, a base of its own — not /idr/v1 or
# /idr/v2 like the investigation endpoints. Same host, same API key.
AT = "idr/at/"
def _cfg():
s = json.loads(os.environ.get("INTEGRATION_SECRETS", "{}"))
region = str(s.get("region") or "us").strip().lower()
base = "https://" + region + ".api.insight.rapid7.com/"
headers = {"X-Api-Key": s.get("api_key", ""), "Content-Type": "application/json", "Accept": "application/json"}
multi = str(s.get("is_multi_customer") or "").strip().lower() in ("1", "true", "yes")
return base, headers, multi
def _cfg_region():
return str(json.loads(os.environ.get("INTEGRATION_SECRETS", "{}")).get("region") or "us").strip().lower()
def _inputs():
return json.loads(os.environ.get("INTEGRATION_INPUTS", "{}"))
def _list(v):
if v in (None, ""):
return []
if isinstance(v, list):
return [str(x).strip() for x in v if str(x).strip()]
return [p.strip() for p in str(v).split(",") if p.strip()]
def request(method, path, params=None, body=None):
base, headers, _ = _cfg()
url = base + path.lstrip("/")
if params:
clean = {k: v for k, v in params.items() if v not in (None, "")}
if clean:
url += ("&" if "?" in url else "?") + urllib.parse.urlencode(clean, doseq=True)
data = json.dumps(body).encode("utf-8") if body is not None else None
req = urllib.request.Request(url, data=data, headers=headers, method=method)
with urllib.request.urlopen(req, timeout=90) as r:
raw = r.read()
return json.loads(raw) if raw else {}
import re
import time
from datetime import datetime, timedelta, timezone
ISO = "%Y-%m-%dT%H:%M:%SZ"
RRN_BATCH = 100
DEFAULT_BUDGET_S = 60
# idr/v2/investigations answers with 13 fields, three of them null: a title, a
# priority, a status, an assignee and timestamps. No host, no account, no
# process, no MITRE code — and not one of the alerts the investigation
# aggregates. An incident built from it indexes zero entities, so it cannot be
# pivoted on, cannot be correlated, and gives an analyst nothing to read.
#
# The detection content is two hops away: the investigation's alert list gives
# RRNs, and the Alert Triage API turns those into alerts carrying
# rule_keys_of_interest (the host, the process, its command line, its parent,
# the hashes) and rule.mitre_tcodes. This command walks both hops and returns
# the investigation with its alerts inlined, so the INVESTIGATION stays the unit
# that becomes an incident — results_path = data, dedup on rrn, exactly as the
# plain investigation feed. Only the command changes.
def _alert_rrn(a):
"""The alert's RRN, or None when this alert has none.
The investigation alert list is not consistent about where the RRN sits.
Some entries carry it in `id` (rrn:alerts:eu:<org>:alert:1:<hex>); others put
a plain UUID there and the RRN, if any, in `rrn`. `rrn` is therefore read
first, and anything that is not RRN-shaped is dropped rather than sent on.
That last part is not defensive habit. /alerts/ops/rrns validates the whole
list and rejects the entire request when one entry is malformed, so a single
UUID slipping through costs every alert in the batch — which is exactly how
this failed: HTTP 400, eight invalid RRNs, zero alerts fetched, the whole run
lost. Dropping them here means the investigation still arrives, with its
unretrievable alerts counted rather than silently missing.
"""
for v in (a.get("rrn"), a.get("id")):
if isinstance(v, str) and v.startswith("rrn:"):
return v
return None
def _rrn_region(rrn):
"""The region segment of an RRN, or None.
An RRN is rrn:<service>:<region>:<org>:<type>:… — so a resource states which
region it lives in, while the base URL is built from the instance's
configured region. Those two agree on a single-region tenant and need not on
a multi-customer key, which spans organizations.
"""
parts = str(rrn or "").split(":")
return parts[2] if len(parts) > 4 and parts[0] == "rrn" and parts[2] else None
def _collect_region_failures(out, sink):
"""Carry a partial failure out of a response instead of dropping it.
The Alert Triage API answers HTTP 200 with a region_failures list when it
could not reach one of the regions behind the request — the spec says the
presence of items there IS the partial failure. Reading only the payload
turns that into missing alerts with no error anywhere, which for an
ingestion feed is indistinguishable from a quiet period.
"""
for f in (out.get("region_failures") or []):
sink.append(f)
return out
# key="value" / key=value, the shape syslog-derived log lines take. Non-matching
# sources simply yield nothing, which is the right answer for them.
_KV = re.compile(r'([A-Za-z_][\w.\-]*)=("(?:[^"\\]|\\.)*"|\S+)')
# Values a source writes when it has nothing to say. Mapped as-is they become an
# asset named "unknown" in the entity index, shared by every incident that had no
# asset — a pivot that groups things by the absence of a fact.
_PLACEHOLDERS = {"unknown", "n/a", "na", "none", "null", "-", ""}
def _clean(v):
"""Strip the quoting Rapid7's parser leaves behind.
custom_data values arrive as '10.70.20.66"' — a trailing quote from the
vendor parser. Left alone it produces an IP that matches no regex and an
entity nobody can pivot on, so the cleanup is not cosmetic.
"""
v = str(v).strip()
if len(v) >= 2 and v[0] == '"' and v[-1] == '"':
v = v[1:-1]
v = v.replace('\\"', '"').strip().strip('"')
return "" if v.strip().lower() in _PLACEHOLDERS else v
def _evidence_fields(ev):
"""One evidence's event as a flat, normalised dict.
`data` is a JSON-encoded STRING. JSONata cannot deserialise, so a mapper can
never reach into it; this is why the parsing happens here.
It arrives in at least two shapes and the union of both is read, rather than
one or the other. The first version of this handled only the wrapped shape
and returned {} for everything else — silently, so an Azure AD sign-in
carrying its account, its source address and its geolocation produced an
incident with no observable at all.
wrapped {source_data: "<syslog line>", custom_data: {Forti_user: …}}
An unparsed source. custom_data is the vendor's normalised view,
its keys prefixed per source; source_data is the raw line.
flat {user: …, account: …, source_ip: …, geoip_country_code: …,
source_json: {…}, r7_context: {…}, detection_context: {…}}
A parsed source. The event IS the object.
Scalars at the top level are always taken, so a third shape still yields its
plain fields instead of nothing. source_json is deliberately skipped — it is
the vendor's whole payload, several kilobytes of it, and it stays in the raw
line. r7_context and detection_context are flattened one level because they
are Rapid7's own annotations and are the same across parsed sources.
"""
raw = ev.get("data")
if not isinstance(raw, str) or not raw.strip():
return {}, None
try:
blob = json.loads(raw)
except ValueError:
# Not JSON: keep the string itself as the raw line rather than lose it.
return {}, raw
if not isinstance(blob, dict):
return {}, raw
fields = {}
# Flat shape: every scalar the event states about itself.
for k, v in blob.items():
if k in ("source_data", "custom_data", "source_json"):
continue
if isinstance(v, bool) or isinstance(v, (int, float)):
fields[k.lower()] = v
elif isinstance(v, str):
fields[k.lower()] = _clean(v)
elif isinstance(v, dict) and k in ("r7_context", "detection_context"):
for sk, sv in v.items():
if isinstance(sv, dict):
for ssk, ssv in sv.items():
if not isinstance(ssv, (str, int, float)) or isinstance(ssv, bool):
continue
# detection_context nests user.user_age_mins, so a blind
# join yields user_user_age_mins.
name = ssk if ssk.startswith(sk + "_") else sk + "_" + ssk
fields[name.lower()] = _clean(ssv) if isinstance(ssv, str) else ssv
elif isinstance(sv, (str, int, float)):
fields[(k + "_" + sk).lower()] = _clean(sv) if isinstance(sv, str) else sv
# source_json is the vendor's own payload. Its NESTED part is skipped — the
# Azure AD one runs to several kilobytes — but its top-level scalars are
# small, bounded and often the only place something essential appears: a
# Windows 4725 puts the domain controller in computerName and nowhere else,
# and an Azure sign-in puts the caller address in callerIpAddress. Existing
# keys win, so the event's own naming is never overwritten by the vendor's.
sj = blob.get("source_json")
if isinstance(sj, dict):
for k, v in sj.items():
key = k.lower()
if key in fields:
continue
if isinstance(v, bool) or isinstance(v, (int, float)):
fields[key] = v
elif isinstance(v, str) and v.strip():
fields[key] = _clean(v)
# Wrapped shape, overlaid on top when present.
custom = blob.get("custom_data")
if isinstance(custom, dict):
for k, v in custom.items():
if not isinstance(v, (str, int, float)) or isinstance(v, bool):
continue
key = k.split("_", 1)[1] if "_" in k else k
fields[key.lower()] = _clean(v) if isinstance(v, str) else v
source = blob.get("source_data")
if isinstance(source, str):
for k, v in _KV.findall(source):
fields[k.lower()] = _clean(v)
# A key whose value cleaned away to nothing is dropped rather than kept
# empty: an empty string is not nil, so it would still be written to its OCSF
# field, and device.hostname = "" asserts an asset with no name.
fields = {k: v for k, v in fields.items() if v != ""}
return fields, (source if isinstance(source, str) else raw)
# Event types worth asking a process tree for. The endpoint sensor produces one;
# an authentication or firewall alert never will, and on a feed where those
# dominate, asking anyway is one wasted call per alert. include_process_tree=true
# overrides this and asks for every alert.
_PROCESS_EVENT_TYPES = {
"process_start_event", "advanced_malware", "virus",
"endpoint_activity", "file_modification", "local_service_installed",
}
# Guards on a tree of unknown shape: a wide one would otherwise expand into more
# chains than anybody reads, and a cycle would not terminate at all.
_MAX_CHAINS = 12
_MAX_DEPTH = 24
def _flatten_tree(root, out, path=None, depth=0):
"""Rapid7 nests a process tree through `children`; the layout block reads a
flat chain, root first. So each root-to-leaf path becomes one chain.
The block marks the LAST node of a chain as the target. Rapid7 flags no node
as the one the alert fired on, so that mark means "end of this branch" here
and nothing stronger — inventing a target would assert something the sensor
never said.
"""
if not isinstance(root, dict) or depth > _MAX_DEPTH or len(out) >= _MAX_CHAINS:
return
name = root.get("name")
node = {}
if name:
node["name"] = str(name)
if root.get("cmdline"):
node["cmd_line"] = str(root["cmdline"])
pid = root.get("pid")
if pid not in (None, ""):
try:
node["pid"] = int(str(pid))
except ValueError:
pass
h = root.get("hashes") or {}
if isinstance(h, dict):
for k in ("md5", "sha256"):
if h.get(k):
node[k] = str(h[k])
if root.get("start_time") not in (None, ""):
node["started_at"] = root["start_time"]
if root.get("username"):
node["_username"] = str(root["username"])
chain = (path or []) + ([node] if node else [])
children = [c for c in (root.get("children") or []) if isinstance(c, dict)]
if not children:
if chain:
out.append(chain)
return
for c in children:
_flatten_tree(c, out, chain, depth + 1)
def _tree_chains(payload, alert):
"""The process_tree block's own shape: N chains, each with its nodes."""
chains = []
for tree in (payload.get("process_trees") or []):
if not isinstance(tree, dict):
continue
paths = []
_flatten_tree(tree.get("process_tree"), paths)
for nodes in paths:
user = ""
for n in nodes:
user = n.pop("_username", user) or user
if not nodes:
continue
chain = {"nodes": nodes, "alert_id": tree.get("alert_rrn") or alert.get("rrn")}
if user:
chain["user"] = user
if alert.get("type"):
chain["rule"] = alert["type"]
host = (alert.get("evidence_fields") or {}).get("devname") or (alert.get("evidence_fields") or {}).get("hostname")
if not host:
for kv in (alert.get("rule_keys_of_interest") or []):
if kv.get("key") == "hostname" and kv.get("values"):
host = kv["values"][0]
if host:
chain["host"] = host
chains.append(chain)
if len(chains) >= _MAX_CHAINS:
return chains
return chains
# Keys already rendered elsewhere in the incident, or too noisy for a summary.
_MD_SKIP = {"entry_id", "timestamp"}
_MD_MAX_ROWS = 40
_MD_MAX_VALUE = 300
def _markdown_summary(inv, alerts):
"""A readable rendering of what the detection actually says.
The layout builder's field picker is a closed <select> over the OCSF
catalogue, so a path that is not in it — `detection`, `evidence`, anything
an unanticipated rule emits — cannot be placed on a layout at all. Mapping
each key to a real OCSF field is the right answer where one exists, but
rule_keys_of_interest is an open vocabulary and always will be: three
vocabularies turned up in as many days.
So the whole of it is also rendered as Markdown and mapped to a custom
field, which a layout CAN show. Nothing is lost to the analyst even when
nothing was mapped, and the mapping work stops being what stands between
a new rule type and a readable incident.
"""
lines = []
for a in alerts:
title = a.get("type") or a.get("title") or "Alert"
lines.append("### " + str(title))
rule = a.get("rule") or {}
tcodes = [t for t in (rule.get("mitre_tcodes") or []) if t]
meta = []
if a.get("triggering_event_type"):
meta.append("`" + str(a["triggering_event_type"]) + "`")
if tcodes:
meta.append("ATT&CK " + ", ".join(str(t) for t in tcodes))
if a.get("status"):
meta.append("status " + str(a["status"]))
if a.get("disposition"):
meta.append("disposition " + str(a["disposition"]))
if meta:
lines.append(" · ".join(meta))
rows = []
seen = set()
# Keys of interest first: the rule itself says these are what matter.
for kv in (a.get("rule_keys_of_interest") or []):
k = kv.get("key")
vals = [str(v) for v in (kv.get("values") or []) if v not in (None, "")]
if k and vals and k not in seen:
seen.add(k)
rows.append((k, ", ".join(vals)))
for k, v in sorted((a.get("evidence_fields") or {}).items()):
if k in seen or k in _MD_SKIP or v in (None, ""):
continue
seen.add(k)
rows.append((k, str(v)))
if rows:
lines.append("")
lines.append("| Field | Value |")
lines.append("| --- | --- |")
for k, v in rows[:_MD_MAX_ROWS]:
if len(v) > _MD_MAX_VALUE:
v = v[:_MD_MAX_VALUE] + "…"
# A pipe inside a value would split the row into a new column.
lines.append("| " + k.replace("|", "\\|") + " | " + v.replace("|", "\\|") + " |")
if len(rows) > _MD_MAX_ROWS:
lines.append("")
lines.append("_%d more field(s) not shown._" % (len(rows) - _MD_MAX_ROWS))
lines.append("")
return "\n".join(lines).strip()
def run():
_, _, multi = _cfg()
inp = _inputs()
limit = int(inp.get("limit") or 50)
max_alerts = int(inp.get("max_alerts") or 500)
budget = float(inp.get("time_budget_seconds") or DEFAULT_BUDGET_S)
started = time.monotonic()
start_time = inp.get("start_time")
if not start_time:
days = int(inp.get("default_days") or 1)
start_time = (datetime.now(timezone.utc) - timedelta(days=days)).strftime(ISO)
inv_page = request("GET", "idr/v2/investigations", params={
"index": inp.get("index") or "0",
"size": inp.get("page_size") or limit,
"statuses": inp.get("statuses"),
"priorities": inp.get("priorities"),
"start_time": start_time,
"end_time": inp.get("end_time"),
"sort_field": "Created time",
"sort_direction": "ASC",
"multi-customer": "true" if multi else None,
})
investigations = (inv_page.get("data") or [])[:limit]
# Alert RRNs per investigation. One call each — there is no bulk form — so
# this is the step that grows with the window, and the one the time budget
# guards. An investigation whose alerts cannot be read keeps its place in the
# output with an alerts_error: losing the whole run over one of them, or
# dropping it silently, would both be worse.
rrns_by_inv, order, truncated, skipped = {}, [], False, 0
region_failures, regions_seen = [], set()
for inv in investigations:
inv_rrn = inv.get("rrn") or ""
if not inv_rrn:
continue
if time.monotonic() - started > budget or len(order) >= max_alerts:
truncated = True
break
try:
page = request("GET", "idr/v2/investigations/" + urllib.parse.quote(inv_rrn, safe="") + "/alerts",
params={"multi-customer": "true" if multi else None})
except urllib.error.HTTPError as e:
inv["alerts_error"] = "HTTP " + str(e.code)
continue
got = []
for a in (page.get("data") or []):
rrn = _alert_rrn(a)
if rrn is None:
skipped += 1
continue
got.append(rrn)
r = _rrn_region(rrn)
if r:
regions_seen.add(r)
if rrn not in order:
order.append(rrn)
rrns_by_inv[inv_rrn] = got
# The alerts themselves, batched, then indexed so each investigation can be
# handed its own.
field_ids = _list(inp.get("field_ids"))
by_rrn = {}
for i in range(0, len(order), RRN_BATCH):
body = {"rrns": order[i:i + RRN_BATCH]}
if field_ids:
body["field_ids"] = field_ids
out = _collect_region_failures(request("POST", AT + "alerts/ops/rrns", body=body), region_failures)
for a in (out.get("alerts") or []):
if a.get("rrn"):
by_rrn[a["rrn"]] = a
# ④ The evidence behind each alert: the actual log line. An alert names what
# fired; the evidence is what happened. One call per alert — there is no
# bulk form — so it is optional, capped, and under the same time budget.
evidence_calls, evidence_errors = 0, 0
if str(inp.get("include_evidence") or "true").strip().lower() in ("1", "true", "yes"):
per_alert = int(inp.get("max_evidence_per_alert") or 5)
for rrn, a in by_rrn.items():
if time.monotonic() - started > budget:
truncated = True
break
try:
page = request("GET", AT + "alerts/" + urllib.parse.quote(rrn, safe="") + "/evidences",
params={"index": "0", "size": per_alert})
evidence_calls += 1
except urllib.error.HTTPError as e:
a["evidence_error"] = "HTTP " + str(e.code)
evidence_errors += 1
continue
evs = (page.get("evidences") or [])[:per_alert]
for ev in evs:
ev["fields"], ev["raw_line"] = _evidence_fields(ev)
a["evidences"] = evs
if evs:
# Lifted for the mapper: MapFields cannot index an array, and the
# ocsf section reads alerts[0] only.
a["evidence_fields"] = evs[0].get("fields") or {}
a["evidence_raw_line"] = evs[0].get("raw_line")
# ⑤ Process trees. A third call per alert, so it is gated: "auto" asks only
# for the event types an endpoint sensor produces one for, "true" asks
# always, "false" never. Chains are attached to the alert AND to the
# investigation, because the layout block reads ctx.process_tree at the
# top level.
tree_mode = str(inp.get("include_process_tree") or "auto").strip().lower()
tree_calls, tree_errors = 0, 0
if tree_mode != "false":
for rrn, a in by_rrn.items():
if time.monotonic() - started > budget:
truncated = True
break
if tree_mode == "auto" and str(a.get("triggering_event_type") or "") not in _PROCESS_EVENT_TYPES:
continue
try:
page = request("POST", AT + "alerts/" + urllib.parse.quote(rrn, safe="") + "/process_trees/latest",
params={"index": "0", "size": "5"})
tree_calls += 1
except urllib.error.HTTPError as e:
# 404 is the normal answer for an alert that has no tree, not a
# fault: recorded only when it is something else.
if e.code != 404:
a["process_tree_error"] = "HTTP " + str(e.code)
tree_errors += 1
continue
chains = _tree_chains(page, a)
if chains:
a["process_tree"] = chains
fetched = 0
for inv in investigations:
rrns = rrns_by_inv.get(inv.get("rrn") or "", [])
alerts = [by_rrn[r] for r in rrns if r in by_rrn]
inv["alerts"] = alerts
inv["alert_count"] = len(rrns)
# The block reads ctx.process_tree at the top level and draws one chain
# per alert, so every alert's chains are gathered here rather than left
# nested where no mapper expression could reach past alerts[0].
if alerts:
inv["summary_markdown"] = _markdown_summary(inv, alerts)
rolled = []
for a in alerts:
rolled.extend(a.get("process_tree") or [])
if rolled:
inv["process_tree"] = rolled[:_MAX_CHAINS]
# Say it when the alert list is a sample: alert_count is what the
# investigation actually has, len(alerts) what this run retrieved.
if len(alerts) < len(rrns):
inv["alerts_truncated"] = True
fetched += len(alerts)
# Lift a few first-alert values to the top level. The incident-field
# mapper resolves dotted paths only — it cannot index an array — so
# `alerts[0].ai_suggested_disposition` in a field_mappings entry reads as
# nothing, silently, and the custom field arrives empty with no error
# anywhere. The OCSF entries are evaluated by full JSONata and do not
# need this; only field_mappings does.
if alerts:
a = alerts[0]
log = (a.get("log_details") or [{}])[0]
inv.update({
"first_alert_rrn": a.get("rrn"),
"first_alert_type": a.get("type"),
"first_alert_source": a.get("external_source"),
"first_alert_status": a.get("status"),
"first_alert_disposition": a.get("disposition"),
"first_alert_ai_disposition": a.get("ai_suggested_disposition"),
"first_alert_event_type": a.get("triggering_event_type"),
"first_alert_rule_rrn": (a.get("rule") or {}).get("rrn"),
"first_alert_log_id": log.get("log_id"),
"first_alert_logset_id": log.get("logset_id"),
"first_alert_log_entry_id": log.get("log_entry_id"),
})
ef = a.get("evidence_fields") or {}
if ef:
inv["first_evidence_message"] = ef.get("msg") or ef.get("logdesc") or ef.get("message")
inv["first_evidence_raw_line"] = a.get("evidence_raw_line")
print(json.dumps({
"data": investigations,
"metadata": {
"investigations_returned": len(investigations),
"alert_rrns_collected": len(order),
"alerts_fetched": fetched,
"evidence_calls": evidence_calls,
"evidence_errors": evidence_errors,
"process_tree_calls": tree_calls,
"process_tree_errors": tree_errors,
"alert_ids_without_rrn": skipped,
"truncated": truncated,
# HTTP 200 with a non-empty region_failures is a PARTIAL result:
# alerts from that region are simply absent. Surfaced so a shrinking
# feed has a cause attached to it.
"region_failures": region_failures,
"regions_seen": sorted(regions_seen),
"configured_region": _cfg_region(),
"region_mismatch": sorted(r for r in regions_seen if r != _cfg_region()),
"elapsed_seconds": round(time.monotonic() - started, 1),
},
}))
try:
run()
except urllib.error.HTTPError as e:
detail = e.read().decode("utf-8", "replace")
if e.code in (401, 403):
detail += (" — the Alert Triage API (/idr/at) is only available to Managed Detection and"
" Response customers with access to the Alerts experience; a key that works on"
" the investigation endpoints can still be refused here")
print(json.dumps({"error": "HTTP " + str(e.code), "detail": detail}))
sys.exit(1)
except Exception as e:
print(json.dumps({"error": str(e)}))
sys.exit(1)