OpenAI ChatGPT Enterprise Multiple Authentication Failures

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OpenAI ChatGPT Enterprise Multiple Authentication Failures

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Detects multiple failed ChatGPT Enterprise login attempts for the same user email within a short window. Password spraying or credential stuffing against enterprise accounts often precedes a successful compromise.

Rule type: esql

Rule indices: None

Severity: medium

Risk score: 47

Runs every: 15m

Searches indices from: now-1h (Date Math format, see also Additional look-back time)

Maximum alerts per execution: 100

References:

Tags:

  • Domain: GenAI
  • Platform: OpenAI
  • Data Source: OpenAI ChatGPT Enterprise
  • Service: OpenAI ChatGPT Enterprise
  • Use Case: Threat Detection
  • Resources: Investigation Guide
  • Rule Type: ES|QL
  • Domain: Identity
  • Use Case: Identity and Access Audit
  • Tactic: Credential Access

Version: 1

Rule authors:

  • Elastic

Rule license: Elastic License v2

Investigation guide

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Triage and analysis

Investigating OpenAI ChatGPT Enterprise Multiple Authentication Failures

One email produced a burst of failed ChatGPT Enterprise login attempts. That pattern can indicate password spraying, credential stuffing, or repeated guessing before a successful compromise.

Escalate when many distinct source IPs are involved, failures precede a successful login from an unfamiliar IP or user agent, or privileged activity follows. Close as a false positive for repeated typos or SSO misconfiguration from a single client.

Possible investigation steps

  • Review Esql.event_count, Esql.source_ip_values, and geo values on the alert.
  • Low IP diversity usually indicates one device or egress. High diversity suggests distributed automation.
  • Search for successful logins for the same email immediately after the failure burst.
  • Correlate with role changes, invites, or data-access events if a successful login follows.

False positive analysis

  • Users mistyping passwords or temporary SSO misconfiguration can generate short clusters of failures from one IP and user agent.

Response and remediation

  • If compromise is suspected, lock or reset the account, revoke sessions, and review subsequent successful authentication and audit activity.

Setup

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Setup

This rule requires the OpenAI ChatGPT Enterprise integration to collect compliance logs into Elasticsearch.

https://www.elastic.co/docs/reference/integrations/openai_chatgpt_enterprise

Rule query

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from logs-openai_chatgpt_enterprise.auth_log-*
| where
    data_stream.dataset == "openai_chatgpt_enterprise.auth_log" and
    event.action == "login_failed" and
    user.email is not null
| stats
    Esql.event_count = count(*),
    Esql.source_ip_values = values(source.ip),
    Esql.source_geo_country_iso_code_values = values(source.geo.country_iso_code),
    Esql.user_agent_original_values = values(user_agent.original),
    Esql.timestamp_first_seen = min(@timestamp),
    Esql.timestamp_last_seen = max(@timestamp)
  by user.email
| where Esql.event_count >= 10
| keep user.email, Esql.*

Framework: MITRE ATT&CKTM