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P4T12ICK
67 lines
2.2 KiB
YAML
67 lines
2.2 KiB
YAML
name: Download Files Using Telegram
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id: 58194e28-ae5e-11eb-8912-acde48001122
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version: 1
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date: '2021-05-06'
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author: Teoderick Contreras, Splunk
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type: TTP
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datamodel:
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- Endpoint
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description: The following analytic will identify a suspicious download by the Telegram
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application on a Windows system. This behavior was identified on a honeypot where
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the adversary gained access, installed Telegram and followed through with downloading
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different network scanners (port, bruteforcer, masscan) to the system and later
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used to mapped the whole network and further move laterally.
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search: '`sysmon` EventCode= 15 process_name = "telegram.exe" TargetFilename = "*:Zone.Identifier"
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|stats count min(_time) as firstTime max(_time) as lastTime by Computer EventCode
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Image process_id TargetFilename Hash | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`
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| `download_files_using_telegram_filter`'
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how_to_implement: To successfully implement this search, you need to be ingesting
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logs with the process name and TargetFilename from your endpoints or Events that
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monitor filestream events which is happened when process download something. (EventCode
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15) If you are using Sysmon, you must have at least version 6.0.4 of the Sysmon
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TA.
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known_false_positives: normal download of file in telegram app. (if it was a common
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app in network)
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references:
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- https://thedfirreport.com/2020/04/20/sqlserver-or-the-miner-in-the-basement/
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tags:
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analytic_story:
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- XMRig
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confidence: 70
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context:
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- Source:Endpoint
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- Stage:Defense Evasion
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dataset:
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- https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/malware/minergate/windows-sysmon.log
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impact: 70
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kill_chain_phases:
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- Exploitation
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message: Suspicious files were downloaded with the Telegram application on $dest$
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by $user$.
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mitre_attack_id:
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- T1105
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observable:
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- name: user
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type: User
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role:
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- Victim
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- name: Computer
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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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- _time
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- Computer
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- EventCode
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- Image
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- process_id
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- TargetFilename
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- Hash
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risk_score: 49
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security_domain: endpoint
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asset_type: Endpoint
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