mirror of
https://github.com/splunk/security_content
synced 2026-06-08 17:32:49 +00:00
Eric McGinnis
71 lines
3.2 KiB
YAML
71 lines
3.2 KiB
YAML
name: HTTP Malware User Agent
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id: 8c4866e4-f488-4253-8537-7dc4f954c292
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version: 5
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creation_date: '2026-01-06'
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modification_date: '2026-05-13'
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author: Raven Tait, Splunk
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status: production
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type: TTP
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description: This Splunk query analyzes web logs to identify and categorize user agents, detecting various types of malware. This activity can signify possible compromised hosts on the network.
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data_source:
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- Suricata
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search: |-
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| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Web
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WHERE Web.http_user_agent != null
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BY Web.http_user_agent Web.http_method, Web.url,
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Web.url_length Web.src, Web.dest
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| `drop_dm_object_name("Web")`
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| lookup malware_user_agents malware_user_agent AS http_user_agent OUTPUT malware
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| where isnotnull(malware)
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| stats count min(firstTime) as first_seen max(lastTime) as last_seen
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BY malware url http_user_agent
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src dest
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| `security_content_ctime(first_seen)`
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| `security_content_ctime(last_seen)`
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| `http_malware_user_agent_filter`
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how_to_implement: To successfully implement this search, you need to be ingesting web or proxy logs, or ensure it is being filled by a proxy like device, into the Web Datamodel. For additional filtering, allow list private IP space or restrict by known good.
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known_false_positives: Filtering may be required in some instances depending on legacy system usage, filter as needed.
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references:
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- https://github.com/mthcht/awesome-lists/blob/main/Lists/suspicious_http_user_agents_list.csv
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drilldown_searches:
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- name: View the detection results for - "$src$"
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search: '%original_detection_search% | search src = "$src$"'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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- name: View risk events for the last 7 days for - "$src$"
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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)`'
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earliest_offset: 7d
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latest_offset: "0"
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finding:
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title: A known malware user agent $http_user_agent$ was performing a request from $src$.
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entity:
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field: src
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type: system
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score: 50
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threat_objects:
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- field: http_user_agent
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type: http_user_agent
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analytic_story:
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- Lokibot
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- Lumma Stealer
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- Meduza Stealer
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- Crypto Stealer
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- RedLine Stealer
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- Suspicious User Agents
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asset_type: Network
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mitre_attack_id:
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- T1071.001
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product:
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- Splunk Enterprise
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- Splunk Enterprise Security
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- Splunk Cloud
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category: network
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security_domain: network
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tests:
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- name: True Positive Test
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attack_data:
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- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1071.001/http_user_agents/suricata_malware.log
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sourcetype: suricata
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source: not_applicable
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test_type: unit
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