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ATT&CK Technique

Visual Basic

T1059.005 · execution

Adversaries may abuse Visual Basic (VB) for execution. VB is a programming language created by Microsoft with interoperability with many Windows technologies such as Component Object Model and the Native API through the Windows API. Although tagged as legacy with no planned future evolutions, VB is integrated and supported in the .NET Framework and cross-platform .NET Core.

Derivative languages based on VB have also been created, such as Visual Basic for Applications (VBA) and VBScript. VBA is an event-driven programming language built into Microsoft Office, as well as several third-party applications. VBA enables documents to contain macros used to automate the execution of tasks and other functionality on the host.

VBScript is a default scripting language on Windows hosts and can also be used in place of JavaScript on HTML Application (HTA) webpages served to Internet Explorer (though most modern browsers do not come with VBScript support). Adversaries may use VB payloads to execute malicious commands. Common malicious usage includes automating execution of behaviors with VBScript or embedding VBA content into Spearphishing Attachment payloads (which may also involve Mark-of-the-Web Bypass to enable execution).

LinuxmacOSWindows
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Actors Using This

14
iranAgrius
russia_speaking_cybercrimeAkira
russia_speaking_cybercrimeALPHV / BlackCat
latin_america_brazilian_organized_cybercrimeAmavaldo
north_koreaAndariel
franceAnimal Farm
chinaAoqin Dragon
chinaAPT10
chinaAPT17
russiaAPT29
chinaAPT31
iranAPT33
iranOilRig
iranAPT35
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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.
resource-development earlier
T1608.004 · Drive-by Target ×1.32
persistence later
T1098.001 · Additional Cloud Credentials ×1.32
privilege-escalation later
T1055.012 · Process Hollowing ×1.32T1546.001 · Change Default File Association ×1.32T1546.011 · Application Shimming ×1.32
credential-access later
T1110.004 · Credential Stuffing ×1.32T1003.004 · LSA Secrets ×1.32
discovery later
T1482 · Domain Trust Discovery ×1.32T1426 · System Information Discovery ×1.32
collection later
T1056.002 · GUI Input Capture ×1.32T1417 · Input Capture ×1.32
command-and-control later
T1437 · Application Layer Protocol ×1.32T1437.001 · Web Protocols ×1.32
other same
T1218.010 · Regsvr32 ×1.32T1218.007 · Msiexec ×1.32
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Atomic Tests

3
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.
powershellwindowsVisual Basic script execution to gather local computer information
Visual Basic execution test, execute vbscript via PowerShell. When successful, system information will be written to $env:TEMP\T1059.005.out.txt.
cscript "#{vbscript}" > $env:TEMP\T1059.005.out.txt
powershellwindowsEncoded VBS code execution
This module takes an encoded VBS script and executes it from within a malicious document. By default, upon successful execution a message box will pop up displaying "ART T1059.005" A note regarding this module, due to the way that this module utilizes "ScriptControl" a 64bit version of Microsoft Office is required. You can validate this by opening WinWord -> File -> Account -> About Word 
[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12
IEX (iwr "https://raw.githubusercontent.com/redcanaryco/atomic-red-team/master/atomics/T1204.002/src/Invoke-MalDoc.ps1" -UseBasicParsing)
Invoke-Maldoc -macroFile "PathToAtomicsFolder\T1059.005\src\T1059.005-macrocode.txt" -officeProduct "Word" -sub "Exec"
powershellwindowsExtract Memory via VBA
This module attempts to emulate malware authors utilizing well known techniques to extract data from memory/binary files. To do this we first create a string in memory then pull out the pointer to that string. Finally, it uses this pointer to copy the contents of that memory location to a file stored in the $env:TEMP\atomic_t1059_005_test_output.bin. 
[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12
IEX (iwr "https://raw.githubusercontent.com/redcanaryco/atomic-red-team/master/atomics/T1204.002/src/Invoke-MalDoc.ps1" -UseBasicParsing) 
Invoke-Maldoc -macroFile "PathToAtomicsFolder\T1059.005\src\T1059_005-macrocode.txt" -officeProduct "Word" -sub "Extract"
▣

Mitigations

5
MITRE ATT&CK mitigations - vendor-agnostic guidance for reducing exposure to this technique.
M1021Restrict Web-Based Content

Restricting web-based content involves enforcing policies and technologies that limit access to potentially malicious websites, unsafe downloads, and unauthorized browser behaviors. This can include URL filtering, download restrictions, script blocking, and extension control to protect against exploitation, phishing, and malware delivery.

Deploy Web Proxy Filtering
  • Use solutions to filter web traffic based on categories, reputation, and content types.
  • Enforce policies that block unsafe websites or file types at the gateway level.
Enable DNS-Based Filtering
  • Implement tools to restrict access to domains associated with malware or phishing campaigns.
  • Use public DNS filtering services to enhance protection.
Enforce Content Security Policies (CSP)
  • Configure CSP headers on internal and external web applications to restrict script execution, iframe embedding, and cross-origin requests.
Control Browser Features
  • Disable unapproved browser features like automatic downloads, developer tools, or unsafe scripting.
  • Enforce policies through tools like Group Policy Management to control browser settings.
Monitor and Alert on Web-Based Threats
  • Use SIEM tools to collect and analyze web proxy logs for signs of anomalous or malicious activity.
  • Configure alerts for access attempts to blocked domains or repeated file download failures.
M1038Execution Prevention

Prevent the execution of unauthorized or malicious code on systems by implementing application control, script blocking, and other execution prevention mechanisms. This ensures that only trusted and authorized code is executed, reducing the risk of malware and unauthorized actions.

Application Control
  • Use Case: Use tools like AppLocker or Windows Defender Application Control (WDAC) to create whitelists of authorized applications and block unauthorized ones. On Linux, use tools like SELinux or AppArmor to define mandatory access control policies for application execution.
  • Implementation: Allow only digitally signed or pre-approved applications to execute on servers and endpoints. (e.g., `New-AppLockerPolicy -PolicyType Enforced -FilePath "C:\Policies\AppLocker.
xml"`) Script Blocking
  • Use Case: Use script control mechanisms to block unauthorized execution of scripts, such as PowerShell or JavaScript. Web Browsers: Use browser extensions or settings to block JavaScript execution from untrusted sources.
  • Implementation: Configure PowerShell to enforce Constrained Language Mode for non-administrator users. (e.g.
, Set-ExecutionPolicy AllSigned) Executable Blocking
  • Use Case: Prevent execution of binaries from suspicious locations, such as %TEMP% or %APPDATA% directories.
  • Implementation: Block execution of .exe, .bat, or .ps1 files from user-writable directories.
Dynamic Analysis Prevention
  • Use Case: Use behavior-based execution prevention tools to identify and block malicious activity in real time.
  • Implemenation: Employ EDR solutions that analyze runtime behavior and block suspicious code execution.
M1040Behavior Prevention on Endpoint

Behavior Prevention on Endpoint refers to the use of technologies and strategies to detect and block potentially malicious activities by analyzing the behavior of processes, files, API calls, and other endpoint events. Rather than relying solely on known signatures, this approach leverages heuristics, machine learning, and real-time monitoring to identify anomalous patterns indicative of an attack.

Suspicious Process Behavior
  • Implementation: Use Endpoint Detection and Response (EDR) tools to monitor and block processes exhibiting unusual behavior, such as privilege escalation attempts.
  • Use Case: An attacker uses a known vulnerability to spawn a privileged process from a user-level application. The endpoint tool detects the abnormal parent-child process relationship and blocks the action.
Unauthorized File Access
  • Implementation: Leverage Data Loss Prevention (DLP) or endpoint tools to block processes attempting to access sensitive files without proper authorization.
  • Use Case: A process tries to read or modify a sensitive file located in a restricted directory, such as /etc/shadow on Linux or the SAM registry hive on Windows. The endpoint tool identifies this anomalous behavior and prevents it.
Abnormal API Calls
  • Implementation: Implement runtime analysis tools to monitor API calls and block those associated with malicious activities.
  • Use Case: A process dynamically injects itself into another process to hijack its execution. The endpoint detects the abnormal use of APIs like OpenProcess and WriteProcessMemory and terminates the offending process.
Exploit Prevention
  • Implementation: Use behavioral exploit prevention tools to detect and block exploits attempting to gain unauthorized access.
  • Use Case: A buffer overflow exploit is launched against a vulnerable application. The endpoint detects the anomalous memory write operation and halts the process.
M1042Disable or Remove Feature or Program

Disable or remove unnecessary and potentially vulnerable software, features, or services to reduce the attack surface and prevent abuse by adversaries. This involves identifying software or features that are no longer needed or that could be exploited and ensuring they are either removed or properly disabled.

Remove Legacy Software
  • Use Case: Disable or remove older versions of software that no longer receive updates or security patches (e.g., legacy Java, Adobe Flash).
  • Implementation: A company removes Flash Player from all employee systems after it has reached its end-of-life date.
Disable Unused Features
  • Use Case: Turn off unnecessary operating system features like SMBv1, Telnet, or RDP if they are not required.
  • Implementation: Disable SMBv1 in a Windows environment to mitigate vulnerabilities like EternalBlue.
Control Applications Installed by Users
  • Use Case: Prevent users from installing unauthorized software via group policies or other management tools.
  • Implementation: Block user installations of unauthorized file-sharing applications (e.g., BitTorrent clients) in an enterprise environment.
Remove Unnecessary Services
  • Use Case: Identify and disable unnecessary default services running on endpoints, servers, or network devices.
  • Implementation: Disable unused administrative shares (e.g., C$, ADMIN$) on workstations.
Restrict Add-ons and Plugins
  • Use Case: Remove or disable browser plugins and add-ons that are not needed for business purposes.
  • Implementation: Disable Java and ActiveX plugins in web browsers to prevent drive-by attacks.
M1049Antivirus/Antimalware

Antivirus/Antimalware solutions utilize signatures, heuristics, and behavioral analysis to detect, block, and remediate malicious software, including viruses, trojans, ransomware, and spyware. These solutions continuously monitor endpoints and systems for known malicious patterns and suspicious behaviors that indicate compromise. Antivirus/Antimalware software should be deployed across all devices, with automated updates to ensure protection against the latest threats.

Signature-Based Detection
  • Implementation: Use predefined signatures to identify known malware based on unique patterns such as file hashes, byte sequences, or command-line arguments. This method is effective against known threats.
  • Use Case: When malware like "Emotet" is detected, its signature (such as a specific file hash) matches a known database of malicious software, triggering an alert and allowing immediate quarantine of the infected file.
Heuristic-Based Detection
  • Implementation: Deploy heuristic algorithms that analyze behavior and characteristics of files and processes to identify potential malware, even if it doesn’t match a known signature.
  • Use Case: If a program attempts to modify multiple critical system files or initiate suspicious network communications, heuristic analysis may flag it as potentially malicious, even if no specific malware signature is available.
Behavioral Detection (Behavior Prevention)
  • Implementation: Use behavioral analysis to detect patterns of abnormal activities, such as unusual system calls, unauthorized file encryption, or attempts to escalate privileges.
  • Use Case: Behavioral analysis can detect ransomware attacks early by identifying behavior like mass file encryption, even before a specific ransomware signature has been identified.
Real-Time Scanning
  • Implementation: Enable real-time scanning to automatically inspect files and network traffic for signs of malware as they are accessed, downloaded, or executed.
  • Use Case: When a user downloads an email attachment, the antivirus solution scans the file in real-time, checking it against both signatures and heuristics to detect any malicious content before it can be opened.
Cloud-Assisted Threat Intelligence
  • Implementation: Use cloud-based threat intelligence to ensure the antivirus solution can access the latest malware definitions and real-time threat feeds from a global database of emerging threats.
  • Use Case: Cloud-assisted antivirus solutions quickly identify newly discovered malware by cross-referencing against global threat databases, providing real-time protection against zero-day attacks.
Tools for Implementation
  • Endpoint Security Platforms: Use solutions such as EDR for comprehensive antivirus/antimalware protection across all systems.
  • Centralized Management: Implement centralized antivirus management consoles that provide visibility into threat activity, enable policy enforcement, and automate updates.
  • Behavioral Analysis Tools: Leverage solutions with advanced behavioral analysis capabilities to detect malicious activity patterns that don’t rely on known signatures.
◈

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) 23
Analytics (MITRE CAR) 1
Runtime / container (Falco) none
File / malware (YARA) none
Network (Suricata/Snort) none
Vuln scan (Nuclei) none
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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-2013-04-002Moderate 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
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Comply & Defend

NIST 800-53AC-02, AC-03, AC-06, AC-17, CA-07, CM-02, CM-06, CM-07, CM-08, RA-05, SC-18, SI-02, SI-03, SI-04, SI-07, SI-10, SI-16
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