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DNS Kerberos Coercion
Detects DNS-based Kerberos coercion attacks where adversaries inject marshaled credential structures into DNS records to spoof SPNs and redirect authentication such as in CVE-2025-33073. This detection leverages suricata looking for specific CREDENTIAL_TARGET_INFORMATION structures in DNS queries.
Detection Query
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime values(DNS.src) as src values(DNS.dest) as dest FROM datamodel=Network_Resolution
WHERE DNS.query="*1UWhRC*" DNS.query="*AAAAA*" DNS.query="*YBAAAA*"
BY DNS.answer DNS.answer_count DNS.query
DNS.query_count DNS.reply_code_id DNS.src
DNS.vendor_product
| `drop_dm_object_name(DNS)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| table firstTime lastTime query count src dest
| `dns_kerberos_coercion_filter`Author
Raven Tait, Splunk
Data Sources
SuricataSysmon EventID 22
References
- https://web.archive.org/web/20250617122747/https://www.synacktiv.com/publications/ntlm-reflection-is-dead-long-live-ntlm-reflection-an-in-depth-analysis-of-cve-2025
- https://www.synacktiv.com/publications/relaying-kerberos-over-smb-using-krbrelayx
- https://www.guidepointsecurity.com/blog/the-birth-and-death-of-loopyticket/
Raw Content
name: DNS Kerberos Coercion
id: 8551252d-b5b6-4b6e-8a82-51460aeb29a3
version: 5
creation_date: '2025-11-18'
modification_date: '2026-05-13'
author: Raven Tait, Splunk
status: production
type: TTP
description: Detects DNS-based Kerberos coercion attacks where adversaries inject marshaled credential structures into DNS records to spoof SPNs and redirect authentication such as in CVE-2025-33073. This detection leverages suricata looking for specific CREDENTIAL_TARGET_INFORMATION structures in DNS queries.
data_source:
- Suricata
- Sysmon EventID 22
search: |-
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime values(DNS.src) as src values(DNS.dest) as dest FROM datamodel=Network_Resolution
WHERE DNS.query="*1UWhRC*" DNS.query="*AAAAA*" DNS.query="*YBAAAA*"
BY DNS.answer DNS.answer_count DNS.query
DNS.query_count DNS.reply_code_id DNS.src
DNS.vendor_product
| `drop_dm_object_name(DNS)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| table firstTime lastTime query count src dest
| `dns_kerberos_coercion_filter`
how_to_implement: To successfully implement this search, you will need to ensure that DNS data is populating the Network_Resolution data model.
known_false_positives: It's unlikely that a DNS entry contains the specific structure used by this attack. Filter as needed for your organization.
references:
- https://web.archive.org/web/20250617122747/https://www.synacktiv.com/publications/ntlm-reflection-is-dead-long-live-ntlm-reflection-an-in-depth-analysis-of-cve-2025
- https://www.synacktiv.com/publications/relaying-kerberos-over-smb-using-krbrelayx
- https://www.guidepointsecurity.com/blog/the-birth-and-death-of-loopyticket/
drilldown_searches:
- name: View the detection results for - "$src$"
search: '%original_detection_search% | search host = "$src$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$src$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$src$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: 7d
latest_offset: "0"
finding:
title: A dns query $query$ with marshalled CREDENTIAL_TARGET_INFORMATION seen from $src$
entity:
field: src
type: system
score: 50
analytic_story:
- Compromised Windows Host
- Suspicious DNS Traffic
- Local Privilege Escalation With KrbRelayUp
- Kerberos Coercion with DNS
asset_type: Endpoint
cve:
- CVE-2025-33073
mitre_attack_id:
- T1557.001
- T1187
- T1071.004
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: network
security_domain: network
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1071.004/kerberos_coercion/suricata.log
source: not_applicable
sourcetype: suricata
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1071.004/kerberos_coercion/sysmon.log
source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
sourcetype: XmlWinEventLog
test_type: unit