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ATT&CK Technique

Application Window Discovery

T1010 · discovery

Adversaries may attempt to get a listing of open application windows. Window listings could convey information about how the system is used. For example, information about application windows could be used identify potential data to collect as well as identifying security tooling (Security Software Discovery) to evade.

Adversaries typically abuse system features for this type of enumeration. For example, they may gather information through native system features such as Command and Scripting Interpreter commands and Native API functions.

LinuxmacOSWindows

Actors Using This

14
latin_america_brazilian_organized_cybercrimeAmavaldo
north_koreaAPT37
china_state_sponsored_mandiant_canonical_microsoft_mulberry_typhoonAPT5 (UNC2630 / UNC2717 / Mulberry Typhoon)
russia_speaking_cybercrime8Base
iran_linked_dragos_tracked_ics_activity_group_cyberav3ngers_persona_2024_disclosedBAUXITE
russia_speaking_cybercrimeBianLian
chinaBillbug
brazilBizarro
russia_apt_sandwormBlackEnergy
commercial_cybercrime_uefi_bootkitBlackLotus
russia_speaking_organized_cybercrimeBumblebee Operators / EXOTIC LILY

Likely Attack Path

Techniques the same actors pair with this one distinctively - those showing up among actors who use this technique noticeably more than across all actors (lift > 1.15), grouped by kill-chain phase. The × is that lift multiplier; the shared-actor count is in the tooltip. A near-universal technique pairs with everything at baseline, so its list is short by design.
privilege-escalation earlier
lateral-movement later

Atomic Tests

1
Executable Atomic Red Team test cases for exercising this technique in a lab. Copy a command, run it on the listed platform, confirm your detections fire.
command_promptwindowsList Process Main Windows - C# .NET
Compiles and executes C# code to list main window titles associated with each process. Upon successful execution, powershell will download the .cs from the Atomic Red Team repo, and cmd.exe will compile and execute T1010.exe. Upon T1010.exe execution, expected output will be via stdout.
C:\Windows\Microsoft.NET\Framework\v4.0.30319\csc.exe -out:#{output_file_name} "#{input_source_code}"
#{output_file_name}

Detection Coverage

2/6 layers
Coverage across standard detection surfaces. Rows marked none have no rule of that type mapped. Some are real blind spots worth closing; others are simply not applicable to this technique (e.g. YARA matches malware files, not network behaviour).
Behavioral / log (Sigma) 1
Analytics (MITRE CAR) 1
Runtime / container (Falco) none
File / malware (YARA) none
Network (Suricata/Snort) none
Vuln scan (Nuclei) none

CAR Analytics

1
MITRE Cyber Analytics Repository - field-tested detection logic for this technique, written as pseudocode/queries you adapt to your own SIEM (Splunk, Sentinel, EQL). Each is a ready starting point for a detection rule, not just a description.
CAR-2013-04-002Low coverageQuick execution of a series of suspicious commands

Certain commands are frequently used by malicious actors and infrequently used by normal users. By looking for execution of these commands in short periods of time, we can not only see when a malicious user was on the system but also get an idea of what they were doing.

Commands of interest
  • arp.exe.
  • at.exe.
  • attrib.exe.
  • cscript.exe.
  • dsquery.exe.
  • hostname.exe.
  • ipconfig.exe.
  • mimikatz.exe.
  • nbstat.exe.
  • net.exe.
  • netsh.exe.
  • nslookup.exe.
  • ping.exe.
  • quser.exe.
  • qwinsta.exe.
  • reg.exe.
  • runas.exe.
  • sc.exe.
  • schtasks.exe.
  • ssh.exe.
  • systeminfo.exe.
  • taskkill.exe.
  • telnet.exe.
  • tracert.exe.
  • wscript.exe.
  • xcopy.exe ### Output Description The host on which the commands were executed, the time of execution, and what commands were executed.
pseudocode
processes = search Process:Create
reg_processes = filter processes where (exe == "arp.exe" or exe == "at.exe" or exe == "attrib.exe"
 or exe == "cscript.exe" or exe == "dsquery.exe" or exe == "hostname.exe"
 or exe == "ipconfig.exe" or exe == "mimikatz.exe" or exe == "nbstat.exe"
 or exe == "net.exe" or exe == "netsh.exe" or exe == "nslookup.exe"
 or exe == "ping.exe" or exe == "quser.exe" or exe == "qwinsta.exe"
 or exe == "reg.exe" or exe == "runas.exe" or exe == "sc.exe"
 or exe == "schtasks.exe" or exe == "ssh.exe" or exe == "systeminfo.exe"
 or exe == "taskkill.exe" or exe == "telnet.exe" or exe == "tracert.exe"
 or exe == "wscript.exe" or exe == "xcopy.exe")
reg_grouped = group reg by hostname, ppid where(max time between two events is 30 minutes)
output reg_grouped
DNIF
_fetch * from event where $LogName=WINDOWS-SYSMON AND $EventID=1 AND $App=regex(arp\.exe|at\.exe|attrib\.exe|cscript\.exe|dsquery\.exe|hostname\.exe|ipconfig\.exe|mimikatz.exe|nbstat\.exe|net\.exe|netsh\.exe|nslookup\.exe|ping\.exe|quser\.exe|qwinsta\.exe|reg\.exe|runas\.exe|sc\.exe|schtasks\.exe|ssh\.exe|systeminfo\.exe|taskkill\.exe|telnet\.exe|tracert\.exe|wscript\.exe|xcopy\.exe)i group count_unique $App limit 100
>>_agg count
>>_checkif int_compare Count > 1 include
LogPoint
norm_id=WindowsSysmon event_id=1 image IN ["*\arp.exe", "*\at.exe", "*\attrib.exe", "*\cscript.exe", "*\dsquery.exe", "*\hostname.exe", "*\ipconfig.exe", "*\mimikatz.exe", "*\nbstat.exe", "*\net.exe", "*\netsh.exe", "*\nslookup.exe", "*\ping.exe", "*\quser.exe", "*\qwinsta.exe", "*\reg.exe", "*\runas.exe", "*\sc.exe", "*\schtasks.exe", "*\ssh.exe", "*\systeminfo.exe", "*\taskkill.exe", "*\telnet.exe", "*\tracert.exe", "*\wscript.exe", "*\xcopy.exe"]
| chart count() as cnt by host
| search cnt > 1

Caldera Emulation

1
MITRE Caldera abilities that emulate this technique - each is an executable action for automated adversary emulation.
discoverywindowsApplication Window Discovery
$x = Get-Process | Where-Object {$_.MainWindowTitle -ne ""} | Select-Object MainWindowTitle;
$a = New-Object -com "Shell.Application"; $b = $a.windows() | select-object LocationName;
write-host ($x | Format-List | Out-String) ($b | Format-List | Out-String)

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