mirror of
https://github.com/splunk/security_content
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58 lines
3.1 KiB
YAML
58 lines
3.1 KiB
YAML
name: Kubernetes Scanner Image Pulling
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id: 4890cd6b-0112-4974-a272-c5c153aee551
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version: 3
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date: '2024-09-30'
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author: Patrick Bareiss, Splunk
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status: production
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type: TTP
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description: The following analytic detects the pulling of known Kubernetes security scanner images such as kube-hunter, kube-bench, and kube-recon. It leverages Kubernetes logs ingested through Splunk Connect for Kubernetes, specifically monitoring for messages indicating the pulling of these images. This activity is significant because the use of security scanners can indicate an attempt to identify vulnerabilities within the Kubernetes environment. If confirmed malicious, this could lead to the discovery and exploitation of security weaknesses, potentially compromising the entire Kubernetes cluster.
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data_source: []
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search: '`kube_objects_events` object.message IN ("Pulling image *kube-hunter*", "Pulling image *kube-bench*", "Pulling image *kube-recon*", "Pulling image *kube-recon*") | rename object.* AS * | rename involvedObject.* AS * | rename source.host AS host | eval phase="operate" | eval severity="high" | stats min(_time) as firstTime max(_time) as lastTime count by host, name, namespace, kind, reason, message, phase, severity | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `kubernetes_scanner_image_pulling_filter`'
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how_to_implement: You must ingest Kubernetes logs through Splunk Connect for Kubernetes.
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known_false_positives: unknown
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references:
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- https://github.com/splunk/splunk-connect-for-kubernetes
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drilldown_searches:
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- name: View the detection results for - "$host$"
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search: '%original_detection_search% | search host = "$host$"'
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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 - "$host$"
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search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$host$") starthoursago=168 | 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: $info_min_time$
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latest_offset: $info_max_time$
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tags:
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analytic_story:
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- Dev Sec Ops
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asset_type: Kubernetes
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confidence: 90
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impact: 90
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message: Kubernetes Scanner image pulled on host $host$
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mitre_attack_id:
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- T1526
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observable:
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- name: host
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type: Hostname
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role:
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- Victim
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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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required_fields:
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- object.message
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- source.host
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- object.involvedObject.name
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- object.involvedObject.namespace
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- object.involvedObject.kind
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- object.message
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- object.reason
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risk_score: 81
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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/T1526/kubernetes_kube_hunter/kubernetes_kube_hunter.json
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sourcetype: kube:objects:events
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source: kubernetes
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