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T1072 Software Deployment Tools — Attack Simulation

Adversaries may gain access to and use centralized software suites installed within an enterprise to execute commands and move laterally through the network. Configuration management and software deployment applications may be used in an enterprise network or cloud environment for routine administration purposes. These systems may also be integrated into CI/CD pipelines. Examples of such solutions include: SCCM, HBSS, Altiris, AWS Systems…

Complete technique description

Adversaries may gain access to and use centralized software suites installed within an enterprise to execute commands and move laterally through the network. Configuration management and software deployment applications may be used in an enterprise network or cloud environment for routine administration purposes. These systems may also be integrated into CI/CD pipelines. Examples of such solutions include: SCCM, HBSS, Altiris, AWS Systems Manager, Microsoft Intune, Azure Arc, and GCP Deployment Manager.

Access to network-wide or enterprise-wide endpoint management software may enable an adversary to achieve remote code execution on all connected systems. The access may be used to laterally move to other systems, gather information, or cause a specific effect, such as wiping the hard drives on all endpoints.

SaaS-based configuration management services may allow for broad Cloud Administration Command on cloud-hosted instances, as well as the execution of arbitrary commands on on-premises endpoints. For example, Microsoft Configuration Manager allows Global or Intune Administrators to run scripts as SYSTEM on on-premises devices joined to Entra ID.[SpecterOps Lateral Movement from Azure to On-Prem AD 2020] Such services may also utilize Web Protocols to communicate back to adversary owned infrastructure.[Mitiga Security Advisory: SSM Agent as Remote Access Trojan]

Network infrastructure devices may also have configuration management tools that can be similarly abused by adversaries.[Fortinet Zero-Day and Custom Malware Used by Suspected Chinese Actor in Espionage Operation]

The permissions required for this action vary by system configuration; local credentials may be sufficient with direct access to the third-party system, or specific domain credentials may be required. However, the system may require an administrative account to log in or to access specific functionality.

Official technique definition · Open in the interactive matrix

Detection telemetry and configuration

These contracts are selected through exact technique-to-data-component relationships or explicitly labelled planning overrides. Configure a collector at the relevant observation point; a telemetry name alone is not coverage.

Application Log Content · source-mapped

DC0038 collection page — Select the application event family required by the detection and document its native schema before normalization.

Providers and collection configuration

  • Enable the application audit category or instrument the owned lab application at the authorization/action boundary.
  • Define a schema with timestamp, service, actor, object, action, result and correlation ID. Export structured records through an authenticated collector.
  • Redact secrets and personal content, separate audit from debug logs, set retention and verify delivery during rotation/restart.

Required normalized fields: service, action, actor, record_count, result.

Illustrative collection event

Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.

{
  "schema": "1200km.telemetry.example.v1",
  "synthetic": true,
  "timestamp": "2026-09-27T12:00:00Z",
  "telemetry_id": "DC0038",
  "collector": "illustrative-lab-collector",
  "observation": {
    "service": "lab-portal",
    "action": "export_requested",
    "actor": "lab-reader",
    "record_count": 3,
    "result": "authorized"
  }
}

Visibility limits: Debug output is not necessarily a durable audit trail. Application developers must emit the relevant event; installing a log pipeline does not make an absent event exist.

Command Execution · source-mapped

DC0064 collection page — Collect process command lines and relevant shell/interpreter audit; shell history alone is neither complete nor tamper-resistant.

Providers and collection configuration

  • Enable Script Block Logging through the policy/configuration for the installed edition. Forward Microsoft-Windows-PowerShell/Operational for Windows PowerShell, or PowerShellCore/Operational for PowerShell 7.
  • Retain script-block ID and fragment ordering alongside process creation. Protect access to collected script text; secrets may be included.
  • On Linux, use narrowly scoped Audit execution rules for the lab account and supported architectures, and retain joined SYSCALL/EXECVE/PATH records.

Required normalized fields: interpreter, command_line, actor_uid, session_id.

Illustrative collection event

Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.

{
  "schema": "1200km.telemetry.example.v1",
  "synthetic": true,
  "timestamp": "2026-09-27T12:00:00Z",
  "telemetry_id": "DC0064",
  "collector": "illustrative-lab-collector",
  "observation": {
    "interpreter": "/bin/sh",
    "command_line": "printf LAB_TELEMETRY_CHECK",
    "actor_uid": 1000,
    "session_id": "lab-session-1"
  }
}

Visibility limits: Script content and process command lines are different signals. Logging may be partial, fragmented, filtered or disabled; never assume a command line reveals everything executed.

Network Traffic Flow · source-mapped

DC0078 collection page — Collect Zeek conn.log, Suricata flow events or exporter equivalents, including observation point and sampling settings.

Providers and collection configuration

  • Zeek: Connection and protocol metadata from traffic visible to the sensor.
  • Suricata EVE: Configured flow, alert, DNS, HTTP, TLS and protocol records.
  • AWS VPC Flow Logs: IP traffic metadata alternative; no packet payload or DNS answer history, and some traffic is not logged.
  • Use an authorized lab TAP/SPAN, virtual mirror or gateway interface. Define which traffic crosses it; avoid assuming visibility into every segment.
  • Enable the required Zeek analyzers or Suricata EVE event types. Export logs with sensor identity, clock synchronization and flow correlation identifiers.
  • Monitor capture loss, truncation and exporter sampling. Capture payload only with approval and restrictive retention; encryption normally prevents plaintext inspection.

Required normalized fields: source_ip, destination_ip, destination_port, protocol, bytes_sent, bytes_received.

Illustrative collection event

Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.

{
  "schema": "1200km.telemetry.example.v1",
  "synthetic": true,
  "timestamp": "2026-09-27T12:00:00Z",
  "telemetry_id": "DC0078",
  "collector": "illustrative-lab-collector",
  "observation": {
    "source_ip": "192.0.2.10",
    "destination_ip": "198.51.100.20",
    "destination_port": 443,
    "protocol": "tcp",
    "bytes_sent": 128,
    "bytes_received": 512
  }
}

Visibility limits: Flows are not packet payloads. NAT, asymmetric routes, encryption, missing mirrors and sampling can hide attribution or content. A destination connection alone does not prove malicious intent.

Process Creation · source-mapped

DC0032 collection page — Collect Sysmon ProcessCreate (1); preserve ProcessGuid and parent identifiers. Security 4688 is an alternative with separate audit/command-line settings.

Providers and collection configuration

  • Microsoft Sysmon: Windows event-based collection; enable the event types needed below.
  • Linux Audit: Linux alternative for supported system-call and file events; different semantics and fields.
  • Apple Endpoint Security clients: macOS alternative where the subscribed event exists; requires an entitled, approved client, not an iOS collector.
  • On a disposable Windows host, review the installed Sysmon schema and current configuration; merge scoped event filters into the existing policy rather than replacing it.
  • Forward Microsoft-Windows-Sysmon/Operational to the lab collector. Preserve event ID, timestamp, computer, process identifiers and the original event.
  • For Linux or macOS, select the equivalent sensor separately and test its emitted fields; a Windows event ID does not transfer across platforms.

Required normalized fields: process_guid, image, parent_image, command_line, user.

<EventFiltering>
  <ProcessCreate onmatch="include">
    <Image condition="is">C:\Windows\System32\whoami.exe</Image>
  </ProcessCreate>
</EventFiltering>

This fragment only selects the named process. It is not a complete production policy. Inspect the installed schema with sysmon64 -s; preserve existing rules, then apply the reviewed complete configuration with sysmon64 -c <configuration-file>.

Illustrative collection event

Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.

{
  "schema": "1200km.telemetry.example.v1",
  "synthetic": true,
  "timestamp": "2026-09-27T12:00:00Z",
  "telemetry_id": "DC0032",
  "collector": "illustrative-lab-collector",
  "observation": {
    "process_guid": "lab-process-001",
    "image": "C:\\Windows\\System32\\whoami.exe",
    "parent_image": "C:\\Windows\\System32\\cmd.exe",
    "command_line": "whoami",
    "user": "LAB\\analyst"
  }
}

Visibility limits: Event filtering and sensor versions change coverage. High-volume image-load and process-access collection needs tuning; endpoint events alone do not establish intent.

Detection rules and analytic guidance

Open the dedicated detection workspace · Existing query engineering

DET0223 Detection of Adversary Abuse of Software Deployment Tools

MITRE detection strategy

AN0623 Analytic 0623

Detects SCCM, Intune, or remote push execution spawning scripts or binaries from SYSTEM context or unusual consoles (e.g., cmtrace.exe launching PowerShell or cmd.exe).

Platforms: Windows.

AN0624 Analytic 0624

Detects remote scripts or binaries deployed via Puppet, Chef, Ansible, or shell scripts from orchestration servers executing outside maintenance windows or in unmanaged nodes.

Platforms: Linux.

AN0625 Analytic 0625

Detects script or binary execution initiated via JAMF, Munki, or custom MDM agents outside of baseline, or JAMF launching new Terminal or osascript processes from remote command payloads.

Platforms: macOS.

AN0626 Analytic 0626

Detects cloud-native software deployment or management (e.g., SSM Run Command, Intune) initiating script execution on endpoints outside expected org IDs, admin groups, or maintenance windows.

Platforms: SaaS.

AN0627 Analytic 0627

Detects central router or switch config management tools (e.g., FortiManager, Cisco Prime) triggering device reboots or config pushes using abnormal accounts or IPs.

Platforms: Network Devices.

Source rule directory and observation requirements

4 exact-tagged source rules. A source tag is a discovery aid, not a relevance verdict. Check the observation point and actual condition of each rule.

Before treating a rule as coverage

  1. Read the actual condition and logsource; identify attacker-side, victim-side or third-party visibility.
  2. Map native sensor fields, parse times and identities, then compile for the selected backend.
  3. Replay a behavior-positive case, a normal control, an authorized look-alike and a missing-telemetry case.
  4. Record matches and misses with rule version and source events. No match is inconclusive when required telemetry is absent.

Anomaly-based detection

No exact technique-specific Atlas model is present for T1072 in the selected source snapshot. The following is a design worksheet, not a newly validated model.

Anomaly engineering worksheet

Start from the exact analytic above. The collection-specific lenses below are analyst recommendations; they do not assert that an arbitrary statistical deviation detects this technique.

  • Application and service audit: Per application, client and route: request rate, rare actions, failure ratios and unusual state transitions. Version changes, retries, health probes and seasonal load need separate baselines.
  • Script and command execution: Per host role and principal: rare interpreters, command argument patterns and parent-child sequences. Normalize scripts carefully; obfuscation, administrative automation and missing command lines change visibility.
  • Network and protocol telemetry: Per source and observation point: connection rate, destination-host/port fan-out, response/failure ratio and previously unseen destinations. Compare equivalent time windows; separate authorized scanners, NAT and sampling effects.
  • Endpoint activity: Per host role and user: rare process/object combinations, bursts of object access or modification, and ordered parent/action sequences. Compare maintenance windows and signed software rollout activity.
  1. Define an entity/peer group and feature; exclude the evaluation period from baseline training.
  2. Use representative normal and maintenance activity. Do not invent a production threshold from a synthetic example.
  3. Evaluate held-out behavior-positive and benign cases; measure false positives, misses and telemetry loss separately.
  4. Keep abnormality separate from maliciousness. Correlate with the behavior-specific source evidence.

Anomaly Detection Atlas · Baseline, validation and blind spots

Attack tools and documented software

No reviewed lab-tool association is selected for this exact technique. This is a curation gap, not a statement that no tool can implement the behavior.

Software observed in source procedures

These are exact ATT&CK software-use relationships, including malware. They provide behavior context, not recommendations to download or execute malware. No safety or detector claim is inherited.

1 source-documented software associations
  • S0041 Wiper — malware.

    It is believed that a patch management system for an anti-virus product commonly installed among targeted companies was used to distribute the Wiper malware.[Dell Wiper]

    Exact relationship: relationship--82268341-e0a8-4937-8618-351e147daa0c

Simulation design and documented procedures

Atomic evidence: 3 compatible documented candidates. Live lab status: not run for these imported procedures.

Use disposable lab hosts and test accounts, explicit target allowlists, a clean snapshot, bounded egress and a restore plan. Review every candidate and dependency before any execution.

Deploy 7-Zip Using Chocolatey

An adversary may use Chocolatey to remotely deploy the 7-Zip file archiver utility.

Pinned Atomic procedure · 2169e8b0-2ee7-44cb-8a6e-d816a5db7d8a · windows · powershell.

Elevation: not declared required. Cleanup: not declared. This is source documentation, not an execution approval.

No input arguments declared.

Review the upstream command, dependencies and cleanup at the source link. Source defaults may refer to real infrastructure or destructive actions; they are not authorized targets. No automatic install, prerequisite download or command execution is provided.

1 prerequisite definitions:

  • Chocolatey must be installed to deploy 7-Zip.
Radmin Viewer Utility

An adversary may use Radmin Viewer Utility to remotely control Windows device, this will start the radmin console.

Pinned Atomic procedure · b4988cad-6ed2-434d-ace5-ea2670782129 · windows · command_prompt.

Elevation: required. Cleanup: not declared. This is source documentation, not an execution approval.

Source-defined inputs

  • radmin_installer: Radmin Viewer installer (type path; source default RadminViewer.msi)
  • radmin_exe: The radmin.exe executable from RadminViewer.msi (type path; source default Radmin Viewer 3/Radmin.exe)

Review the upstream command, dependencies and cleanup at the source link. Source defaults may refer to real infrastructure or destructive actions; they are not authorized targets. No automatic install, prerequisite download or command execution is provided.

1 prerequisite definitions:

  • Radmin Viewer Utility must be installed at specified location (#{radmin_exe})
PDQ Deploy RAT

An adversary may use PDQ Deploy Software to deploy the Remote Adminstartion Tool, this will start the PDQ console.

Pinned Atomic procedure · e447b83b-a698-4feb-bed1-a7aaf45c3443 · windows · command_prompt.

Elevation: required. Cleanup: not declared. This is source documentation, not an execution approval.

Source-defined inputs

  • PDQ_Deploy_installer: PDQ Deploy Install (type path; source default PDQDeploysetup.exe)
  • PDQ_Deploy_exe: The PDQDeployConsole.exe executable from PDQDeploysetup.exe (type path; source default Admin Arsenal/PDQ Deploy/PDQDeployConsole.exe)

Review the upstream command, dependencies and cleanup at the source link. Source defaults may refer to real infrastructure or destructive actions; they are not authorized targets. No automatic install, prerequisite download or command execution is provided.

1 prerequisite definitions:

  • PDQ Deploy will be installed at specified location (#{PDQ_Deploy_exe})

Technique-specific experiment contract

  1. Choose one procedure implementing T1072 Software Deployment Tools; identify the observable behavior in the source definition, not just its tactic.
  2. Record exact target, tool/version, inputs, privileges, network limits and approval. Never run an imported default target automatically.
  3. Enable the collection sources above and verify a benign baseline reaches the detector.
  4. Run only the approved isolated scenario; capture native events and an independent behavior observable.
  5. Evaluate the exact rule/model, restore the lab, and preserve configuration, event hashes, alerts, controls and misses.

Synthetic logs and offline contract check

Download synthetic collection fixture (JSON) · Download the complete engineering workbook

This fixture exercises the listed collection fields. It does not reproduce Software Deployment Tools, label its example events as malicious, or measure detection effectiveness. Use the exact analytic and selected procedure to build an independently labelled behavior-positive dataset.

Not run in this browser. No network scan or attack command is executed by this control.

Validation status and remaining work

Source identity
Joined by exact technique/object IDs against hash-pinned sources.
Collection fixture
Available for offline schema exercises; not attack emulation.
Native telemetry / backend / real attack
Not validated for these imported procedures. Source fidelity and page tests cannot establish sensor or detector effectiveness.

All-page audit and evidence inventory · This page’s machine-readable workbook

Sources and evidence boundaries

Pinned MITRE STIX source · SHA-256 81113ba98afa2928f3dcff62022539f7ce30c315c32e14422f11ff95ce534352. Definition and procedure context are reproduced from this snapshot, not independently re-investigated incidents.

Source-linked mitigations
  • M1015 Active Directory Configuration

    Ensure proper system and access isolation for critical network systems through use of group policy.

  • M1017 User Training

    Have a strict approval policy for use of deployment systems.

  • M1018 User Account Management

    Ensure that any accounts used by third-party providers to access these systems are traceable to the third-party and are not used throughout the network or used by other third-party providers in the same environment. Ensure there are regular reviews of accounts provisioned to these systems to verify continued business need, and ensure there is governance to trace de-provisioning of access that is no longer required. Ensure proper system and access isolation for critical network systems through use of account privilege separation.

  • M1026 Privileged Account Management

    Grant access to application deployment systems only to a limited number of authorized administrators.

  • M1027 Password Policies

    Verify that account credentials that may be used to access deployment systems are unique and not used throughout the enterprise network.

  • M1029 Remote Data Storage

    If the application deployment system can be configured to deploy only signed binaries, then ensure that the trusted signing certificates are not co-located with the application deployment system and are instead located on a system that cannot be accessed remotely or to which remote access is tightly controlled.

  • M1030 Network Segmentation

    Ensure proper system isolation for critical network systems through use of firewalls.

  • M1032 Multi-factor Authentication

    Ensure proper system and access isolation for critical network systems through use of multi-factor authentication.

  • M1033 Limit Software Installation

    Restrict the use of third-party software suites installed within an enterprise network.

  • M1051 Update Software

    Patch deployment systems regularly to prevent potential remote access through Exploitation for Privilege Escalation.

Connected ecosystem references

Linked tags

Source procedure platform / method / executor tags:

Detection and collection

T1072 detection workspace

No reviewed association in this snapshot.

Threat actor context

These are explicit actor-to-technique associations in the existing Threat Matrix snapshot, not attribution of an event or proof that a detector identifies the actor. No tool-to-actor relationship is inferred.

Existing research

Threat Matrix: knowledge routes, evidence and actor context

Pinned research references. No browser attack runner or production-validated detector is asserted. Imported procedures remain unvalidated; any bounded lab evidence has its own scope. ATT&CK / Atomic provenance · Detection provenance.