Detection rules › Elastic
Successful AMQP Multi-Queue Purge Burst
Identifies multiple successful AMQP queue purge operations issued by the same client to the same broker within a short period. The AMQP queue.purge method removes all messages from a queue that are not awaiting acknowledgment. Purging several distinct queues can indicate deliberate message destruction or disruption after broker credentials are compromised.
Known false positives
- Authorized administrators or automation may purge multiple queues during maintenance, testing, disaster recovery, or application resets. Confirm the client, authenticated RabbitMQ user, affected queues, and change window before escalating. Add exceptions for verified administrative sources rather than reducing the queue-cardinality threshold.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Impact |
Rule body
[metadata]
creation_date = "2026/07/30"
integration = ["network_traffic"]
maturity = "production"
updated_date = "2026/07/30"
[rule]
author = ["Elastic"]
description = """
Identifies multiple successful AMQP queue purge operations issued by the same client to the same broker within a short
period. The AMQP queue.purge method removes all messages from a queue that are not awaiting acknowledgment. Purging
several distinct queues can indicate deliberate message destruction or disruption after broker credentials are
compromised.
"""
false_positives = [
"""
Authorized administrators or automation may purge multiple queues during maintenance, testing, disaster recovery, or
application resets. Confirm the client, authenticated RabbitMQ user, affected queues, and change window before
escalating. Add exceptions for verified administrative sources rather than reducing the queue-cardinality threshold.
""",
]
from = "now-9m"
language = "esql"
license = "Elastic License v2"
name = "Successful AMQP Multi-Queue Purge Burst"
note = """## Triage and analysis
### Investigating Successful AMQP Multi-Queue Purge Burst
The AMQP `queue.purge` method removes every ready message from the selected queue. This rule requires successful purge responses for at least three distinct queues from one client-to-broker pair, reducing noise from isolated administrative operations while identifying activity capable of causing broad message loss and application disruption.
### Possible investigation steps
- Review `client.ip`, `server.ip`, `Esql.purge_count`, `Esql.queue_count`, `Esql.queues`, `Esql.first_purge`, and `Esql.last_purge` to determine the scope and timing of the activity.
- Search the underlying `logs-network_traffic.amqp-*` events and confirm that each transaction has `network_traffic.amqp.method: "queue.purge"`, `network_traffic.amqp.no-wait: false`, and `network_traffic.status: "OK"`. Together, these values indicate that Packetbeat observed the broker's `queue.purge-ok` response.
- Use RabbitMQ audit and application logs to identify the authenticated user associated with the client connection. AMQP message properties are not authoritative authentication identities.
- Determine whether the source is approved administration or maintenance automation and whether a documented change authorized purging all affected queues.
- Assess message loss and application impact. Review queue-depth metrics, dead-letter queues, publisher errors, consumer lag, and service availability around the alert.
- Correlate the client and account with `queue.delete`, `exchange.delete`, binding changes, unusual consumers, authentication anomalies, and endpoint alerts.
### False positive analysis
- Queue maintenance, integration testing, disaster-recovery exercises, and application reset workflows may intentionally purge several queues.
- Treat confirmed recurring activity as a benign true positive and scope exceptions to approved client-to-broker pairs or queue names. Broadly excluding `queue.purge` would conceal the destructive behavior this rule is intended to detect.
### Response and remediation
- Revoke or restrict unauthorized RabbitMQ credentials and block the client if the purge was not approved.
- Preserve broker, network, and application evidence before restarting affected services.
- Restore or replay messages from upstream systems, backups, or dead-letter infrastructure where possible.
- Review RabbitMQ permissions and remove unnecessary queue-configuration rights from application accounts.
- Investigate the client host and associated account for credential theft and additional destructive activity.
"""
references = [
"https://www.rabbitmq.com/amqp-0-9-1-reference",
"https://attack.mitre.org/techniques/T1485/",
]
risk_score = 73
rule_id = "286614ee-8b72-4ea5-a22d-e0d2ae59d0a9"
setup = """## Setup
This rule requires the Elastic Network Packet Capture integration with the AMQP protocol analyzer enabled and cleartext
AMQP 0.9.1 visibility. AMQP header and method-argument parsing must remain enabled so the method, queue, and transaction
status are populated. AMQP over TLS is opaque to passive capture. RabbitMQ audit logs are required to map the observed
client connection to an authenticated broker identity.
"""
severity = "high"
tags = [
"Domain: Network",
"Use Case: Network Security Monitoring",
"Use Case: Threat Detection",
"Tactic: Impact",
"Data Source: Network Packet Capture",
"Resources: Investigation Guide",
]
timestamp_override = "event.ingested"
type = "esql"
query = '''
FROM logs-network_traffic.amqp-*
| WHERE
data_stream.dataset == "network_traffic.amqp" AND
network_traffic.amqp.method == "queue.purge" AND
network_traffic.amqp.`no-wait` == false AND
network_traffic.status == "OK" AND
client.ip IS NOT NULL AND
server.ip IS NOT NULL AND
network_traffic.amqp.queue IS NOT NULL
| STATS
Esql.purge_count = COUNT(*),
Esql.queue_count = COUNT_DISTINCT(network_traffic.amqp.queue),
Esql.queues = VALUES(network_traffic.amqp.queue),
Esql.first_purge = MIN(@timestamp),
Esql.last_purge = MAX(@timestamp)
BY client.ip, server.ip
| WHERE Esql.purge_count >= 3 AND Esql.queue_count >= 3
| SORT Esql.queue_count DESC, Esql.purge_count DESC
| KEEP client.ip, server.ip, Esql.purge_count, Esql.queue_count, Esql.queues, Esql.first_purge, Esql.last_purge
'''
[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1485"
name = "Data Destruction"
reference = "https://attack.mitre.org/techniques/T1485/"
[rule.threat.tactic]
id = "TA0040"
name = "Impact"
reference = "https://attack.mitre.org/tactics/TA0040/"
Stages and Predicates
Stage 1: from
FROM logs-network_traffic.amqp-*
Stage 2: where
| WHERE
data_stream.dataset == "network_traffic.amqp" AND
network_traffic.amqp.method == "queue.purge" AND
network_traffic.amqp.`no-wait` == false AND
network_traffic.status == "OK" AND
client.ip IS NOT NULL AND
server.ip IS NOT NULL AND
network_traffic.amqp.queue IS NOT NULL
Stage 3: stats
| STATS
Esql.purge_count = COUNT(*),
Esql.queue_count = COUNT_DISTINCT(network_traffic.amqp.queue),
Esql.queues = VALUES(network_traffic.amqp.queue),
Esql.first_purge = MIN(@timestamp),
Esql.last_purge = MAX(@timestamp)
BY client.ip, server.ip
Stage 4: where
| WHERE Esql.purge_count >= 3 AND Esql.queue_count >= 3
Stage 5: sort
| SORT Esql.queue_count DESC, Esql.purge_count DESC
Stage 6: keep
| KEEP client.ip, server.ip, Esql.purge_count, Esql.queue_count, Esql.queues, Esql.first_purge, Esql.last_purge
Indicators
These rows show field, operator, and value matches.
Output fields
These fields are emitted when the rule matches.
| Field | Source |
|---|---|
client.ip | KEEP client.ip |
server.ip | KEEP server.ip |
Esql.purge_count | KEEP Esql.purge_count |
Esql.queue_count | KEEP Esql.queue_count |
Esql.queues | KEEP Esql.queues |
Esql.first_purge | KEEP Esql.first_purge |
Esql.last_purge | KEEP Esql.last_purge |