﻿---
title: Anthropic Session Reuse Impossible Travel
description: Detects successful Anthropic audit activity for the same user email from source IP addresses whose query-time geo-locations (via IP_LOCATION) span at...
url: https://www.elastic.co/docs/reference/security/prebuilt-rules/rules/integrations/anthropic/credential_access_anthropic_session_reuse_impossible_travel
products:
  - Elastic Security
---

# Anthropic Session Reuse Impossible Travel
Detects successful Anthropic audit activity for the same user email from source IP addresses whose query-time
geo-locations (via IP_LOCATION) span at least two countries, are separated by at least 500 km, and imply travel faster
than 800 km/h within a short (~15-minute) lookback. Unlike login-only impossible travel, this rule covers any successful
user-actor activity and can surface session cookie replay or concurrent session reuse when no new authentication events
appear.
**Rule type**: esql
**Rule indices**:
**Rule Severity**: high
**Risk Score**: 73
**Runs every**: 5m
**Searches indices from**: `now-16m`
**Maximum alerts per execution**: 100
**References**:
- [[https://platform.claude.com/docs/en/api/compliance/activities/list](https://platform.claude.com/docs/en/api/compliance/activities/list)](https://platform.claude.com/docs/en/api/compliance/activities/list)

**Tags**:
- Domain: GenAI
- Domain: Identity
- Platform: Anthropic
- Data Source: Anthropic Audit Logs
- Use Case: Identity and Access Audit
- Use Case: Threat Detection
- Resources: Investigation Guide
- Rule Type: ES|QL
- Tactic: Credential Access
- Tactic: Initial Access
- Mitre Atlas: AML.T0012

**Version**: 1
**Rule authors**:
- Elastic

**Rule license**: Elastic License v2

## Investigation guide


## Triage and analysis


### Investigating Anthropic Session Reuse Impossible Travel

Successful `user_actor` activity for the same email spans distant countries too quickly for travel. Unlike login-only
impossible travel, this covers any successful audit action — useful when cookie replay or concurrent sessions produce
distant activity without a matching login.
A-B-A returns may not alert; sort raw Timeline events. No nearby `magic_link_login_succeeded` /
`sso_login_succeeded` with distant successful non-login actions strengthens a session-reuse hypothesis.
Escalate when countries differ, UAs diverge (browser vs curl/python), login events are absent, or admin/export
actions appear on the distant IP. Close as FP for documented dual-homed VPN/cloud egress with consistent corporate
UAs.

#### Possible investigation steps

- Use `Esql.country_count`, distance/speed, and `Esql.event_action_values` to see whether the distant hop was
  privileged (exports, role changes) vs routine chat views.
- Timeline-sort events; compare IP, geo, UA, and action. Concurrent browser + tooling on far-apart cloud egress often
  explains FP; identical session cookies across continents without login does not.
- Check for nearby logins. Absence + privileged distant actions → treat as cookie replay until proven otherwise.
- Pair with **Anthropic Impossible Travel Login** / auth-failure rules when takeover is suspected.


### False positive analysis

- Split-tunnel / dual-homed clients (browser + API tooling) and VPN geo noise are the main FPs — require ASN/UA
  corroboration.


### Response and remediation

- On suspected replay/compromise: revoke sessions, reset credentials/MFA, hunt concurrent sessions, and review
  compliance/export and role changes for the same `user.email` after the distant events.


## Rule Query

```esql
from logs-anthropic.audit-*
| where
    data_stream.dataset == "anthropic.audit" and
    event.outcome == "success" and
    anthropic.audit.actor.type == "user_actor" and
    user.email is not null and
    source.ip is not null
| IP_LOCATION geo = source.ip with { "properties": ["country_name", "city_name", "location"] }
| eval
    Esql.source_geo_lat = st_y(geo.location),
    Esql.source_geo_lon = st_x(geo.location)
| where Esql.source_geo_lat is not null and Esql.source_geo_lon is not null
| stats
    Esql.first_lat = first(Esql.source_geo_lat, @timestamp),
    Esql.first_lon = first(Esql.source_geo_lon, @timestamp),
    Esql.last_lat = last(Esql.source_geo_lat, @timestamp),
    Esql.last_lon = last(Esql.source_geo_lon, @timestamp),
    Esql.event_count = count(*),
    Esql.country_count = count_distinct(geo.country_name),
    Esql.event_id_values = values(event.id),
    Esql.event_action_values = values(event.action),
    Esql.source_ip_values = values(source.ip),
    Esql.source_geo_country_name_values = values(geo.country_name),
    Esql.source_geo_city_name_values = values(geo.city_name),
    Esql.user_agent_original_values = values(user_agent.original),
    Esql.anthropic_audit_actor_type_values = values(anthropic.audit.actor.type),
    Esql.timestamp_first_seen = min(@timestamp),
    Esql.timestamp_last_seen = max(@timestamp)
  by user.email
| where Esql.event_count >= 2 and Esql.country_count >= 2
| eval
    Esql.p1 = to_geopoint(concat("POINT(", to_string(Esql.first_lon), " ", to_string(Esql.first_lat), ")")),
    Esql.p2 = to_geopoint(concat("POINT(", to_string(Esql.last_lon), " ", to_string(Esql.last_lat), ")"))
| eval
    Esql.distance_km = round(st_distance(Esql.p1, Esql.p2) / 1000.0, 0),
    Esql.window_minutes = date_diff("minute", Esql.timestamp_first_seen, Esql.timestamp_last_seen),
    Esql.travel_kmh = case(Esql.window_minutes > 0, round(Esql.distance_km * 60.0 / Esql.window_minutes, 0), null)
| where Esql.distance_km >= 500 and Esql.travel_kmh >= 800
| keep user.email, Esql.*
```

**Framework:** MITRE ATT&CK
- Tactic:
  - Name: Credential Access
  - Id: TA0006
  - Reference URL: [[https://attack.mitre.org/tactics/TA0006/](https://attack.mitre.org/tactics/TA0006/)](https://attack.mitre.org/tactics/TA0006/)
- Technique:
  - Name: Steal Web Session Cookie
  - Id: T1539
  - Reference URL: [[https://attack.mitre.org/techniques/T1539/](https://attack.mitre.org/techniques/T1539/)](https://attack.mitre.org/techniques/T1539/)

**Framework:** MITRE ATT&CK
- Tactic:
  - Name: Initial Access
  - Id: TA0001
  - Reference URL: [[https://attack.mitre.org/tactics/TA0001/](https://attack.mitre.org/tactics/TA0001/)](https://attack.mitre.org/tactics/TA0001/)
- Technique:
  - Name: Valid Accounts
  - Id: T1078
  - Reference URL: [[https://attack.mitre.org/techniques/T1078/](https://attack.mitre.org/techniques/T1078/)](https://attack.mitre.org/techniques/T1078/)
- Sub Technique:
  - Name: Cloud Accounts
  - Id: T1078.004
  - Reference URL: [[https://attack.mitre.org/techniques/T1078/004/](https://attack.mitre.org/techniques/T1078/004/)](https://attack.mitre.org/techniques/T1078/004/)