Unusual File Download from Direct IP Address — Sigma Rule

Rule metadata and linked tags

Author: Nasreddine Bencherchali (Nextron Systems), Florian Roth (Nextron Systems). Source status: test; severity: high. Source dates: 2022-09-07 / 2023-02-10.

{
  "product": "windows",
  "category": "create_stream_hash"
}

Pinned original Sigma rule · Detection Rule License 1.1

Source SHA-256: ccac625bbcbeb97925981b2bfbd605621c105453978da072364c39e19e18c121

Detection logic

Original source YAML. Source-tag agreement is not proof of complete semantic coverage. This rule has not been compiled for a SIEM backend or validated against live telemetry here.

title: Unusual File Download from Direct IP Address
id: 025bd229-fd1f-4fdb-97ab-20006e1a5368
status: test
description: Detects the download of suspicious file type from URLs with IP
references:
    - https://github.com/trustedsec/SysmonCommunityGuide/blob/adcdfee20999f422b974c8d4149bf4c361237db7/chapters/file-stream-creation-hash.md
    - https://labs.withsecure.com/publications/detecting-onenote-abuse
author: Nasreddine Bencherchali (Nextron Systems), Florian Roth (Nextron Systems)
date: 2022-09-07
modified: 2023-02-10
tags:
    - attack.stealth
    - attack.t1564.004
logsource:
    product: windows
    category: create_stream_hash
detection:
    selection:
        Contents|re: 'http[s]?://[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}'
        TargetFilename|contains:
            - '.ps1:Zone'
            - '.bat:Zone'
            - '.exe:Zone'
            - '.vbe:Zone'
            - '.vbs:Zone'
            - '.dll:Zone'
            - '.one:Zone'
            - '.cmd:Zone'
            - '.hta:Zone'
            - '.xll:Zone'
            - '.lnk:Zone'
    condition: selection
falsepositives:
    - Unknown
level: high

Original YAML and metadata in JSON

False positives

• Unknown

Source references

• https://github.com/trustedsec/SysmonCommunityGuide/blob/adcdfee20999f422b974c8d4149bf4c361237db7/chapters/file-stream-creation-hash.md
• https://labs.withsecure.com/publications/detecting-onenote-abuse