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name: Log4Shell CVE-2021-44228 Exploitation
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id: 9be30d80-3a39-4df9-9102-64a467b24eac
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version: 1
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date: '2022-01-26'
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author: Jose Hernandez, Splunk
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type: Correlation
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datamodel:
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- Risk
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description:
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This correlation find exploitation of Log4Shell CVE-2021-44228 against systems using detections from Splunk Security Content Analytic Story.
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It does this by calculating the distinct count of MITRE ATT&CK tactics from Log4Shell detections fired.
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If the count is larger than 2 or more distinct MITRE ATT&CK tactics we assume high problability of exploitation.
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The Analytic story breaks down into 3 major phases of a Log4Shell exploitation, specifically
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1. Initial Payload delivery eg. `${jndi:ldap://PAYLOAD_INJECTED}`
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2. Call back to malicious LDAP server eg. Exploit.class
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3. Post Exploitation Activity/Lateral Movement using Powershell or similar T1562.001
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Each of these phases fall into different MITRE ATT&CK Tactics (Initial Access, Execution, Command and Control),
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by looking into 2 or more phases showing up in detections triggerd is how this correlation search finds exploitation.
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If we get a notable from this correlation search the best way to triage it is by investigating the affected systems against Log4Shell exploitation using Splunk SOAR playbooks.
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search: '| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime
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from datamodel=Risk.All_Risk where All_Risk.analyticstories="Log4Shell CVE-2021-44228" All_Risk.risk_object_type="system"
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by All_Risk.risk_object All_Risk.annotations.mitre_attack.mitre_tactic source
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| `drop_dm_object_name(All_Risk)` | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)`
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| stats values(risk_object) as affected_systems values(source) as detection_name values(annotations.mitre_attack.mitre_tactic) as tactics values(firstTime) as firstTime values(lastTime) as lastTime dc(annotations.mitre_attack.mitre_tactic) as distinct_tactics
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| where distinct_tactics >= 2
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| `log4shell_cve_2021_44228_exploitation_filter`'
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how_to_implement: To implement this correlation search a user needs to enable all detections in the Log4Shell Analytic Story and confirm it is generation risk events. A simple search `index=risk analyticstories="Log4Shell CVE-2021-44228"` should contain events.
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known_false_positives: There are no known false positive for this search, but it could contain false positives as multiple detections can trigger and not have successful exploitation.
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references:
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- https://research.splunk.com/stories/log4shell_cve-2021-44228/
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- https://www.splunk.com/en_us/blog/security/simulating-detecting-and-responding-to-log4shell-with-splunk.html
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tags:
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analytic_story:
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- Log4Shell CVE-2021-44228
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dataset:
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- https://raw.githubusercontent.com/splunk/attack_data/master/datasets/suspicious_behaviour/log4shell_exploitation/log4shell_correlation.txt
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kill_chain_phases:
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- Reconnaissance
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- Exploitation
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- Lateral Movement
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mitre_attack_id:
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- T1105
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- T1190
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- T1059
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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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- _time
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- All_Risk.analyticstories
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- All_Risk.risk_object_type
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- All_Risk.risk_object
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- All_Risk.annotations.mitre_attack.mitre_tactic
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- source
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security_domain: endpoint
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impact: 90
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confidence: 70
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# (impact * confidence)/100
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risk_score: 63
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context:
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message: Log4Shell Exploitation detected against $affected_systems$
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observable:
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- name: affected_systems
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type: Hostname
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role:
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- Victim
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nist:
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- DE.CM
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cis20:
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- CIS 3
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- CIS 5
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- CIS 16
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@@ -164,7 +164,8 @@
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"UEBA",
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"Updates",
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"Vulnerabilities",
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"Web"
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"Web",
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"Risk"
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],
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"type": "string"
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},
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@@ -0,0 +1,12 @@
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name: Log4Shell CVE-2021-44228 Exploitation Unit Test
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tests:
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- name: Log4Shell CVE-2021-44228 Exploitation
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file: endpoint/log4shell_cve_2021_44228_exploitation.yml
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pass_condition: '| stats count | where count > 0'
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earliest_time: '-24h'
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latest_time: 'now'
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attack_data:
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- file_name: log4shell_correlation.txt
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data: https://raw.githubusercontent.com/splunk/attack_data/master/datasets/suspicious_behaviour/log4shell_exploitation/log4shell_correlation.txt
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source: log4shell
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sourcetype: stash
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