Techniques
Sample rules
OpenAI ChatGPT Enterprise Google Drive Sensitive Query Burst
- source: elastic
- technicques:
- T1083
- T1213
Description
Detects a ChatGPT Enterprise user issuing five or more distinct Google Drive app search queries in a five-minute bucket where at least one query matches sensitive-data themes (payroll, payslip, confidential, payment, NDA, credentials, and similar). Adversaries who abuse a linked Drive connector after session compromise often run rapid multi-term searches to locate high-value files before download or sharing.
Detection logic
from logs-openai_chatgpt_enterprise.app_log-*
| where
data_stream.dataset == "openai_chatgpt_enterprise.app_log" and
openai_chatgpt_enterprise.app_log.app_name == "Google Drive" and
openai_chatgpt_enterprise.app_log.log_type == "request" and
openai_chatgpt_enterprise.app_log.query is not null and
user.email is not null
| eval Esql.query_text = to_lower(openai_chatgpt_enterprise.app_log.query)
| eval Esql.is_sensitive = case(
Esql.query_text like "*payslip*" or
Esql.query_text like "*payroll*" or
Esql.query_text like "*salary*" or
Esql.query_text like "*compensation*" or
Esql.query_text like "*confidential*" or
Esql.query_text like "*privileged*" or
Esql.query_text like "*payment*" or
Esql.query_text like "*ssn*" or
Esql.query_text like "*social security*" or
Esql.query_text like "*passport*" or
Esql.query_text like "*bank account*" or
Esql.query_text like "*w2*" or
Esql.query_text like "*w-2*" or
Esql.query_text like "*tax return*" or
Esql.query_text like "*offer letter*" or
Esql.query_text like "*nda*" or
Esql.query_text like "*secret*" or
Esql.query_text like "*password*" or
Esql.query_text like "*api key*" or
Esql.query_text like "*credential*",
1,
0
)
| eval Esql.time_bucket = date_trunc(5 minutes, @timestamp)
| stats
Esql.query_count_distinct = count_distinct(openai_chatgpt_enterprise.app_log.query),
Esql.event_count = count(*),
Esql.sensitive_query_count = sum(Esql.is_sensitive),
Esql.query_values = values(openai_chatgpt_enterprise.app_log.query),
Esql.timestamp_first_seen = min(@timestamp),
Esql.timestamp_last_seen = max(@timestamp)
by
user.email,
organization.id,
Esql.time_bucket
| where
Esql.query_count_distinct >= 5 and
Esql.sensitive_query_count >= 1
| keep
user.email,
organization.id,
Esql.time_bucket,
Esql.query_count_distinct,
Esql.sensitive_query_count,
Esql.event_count,
Esql.query_values,
Esql.timestamp_first_seen,
Esql.timestamp_last_seen