Live Active security incident? Get immediate response
MITRE ATT&CK® Malware

S0682: TrailBlazer

TrailBlazer is a modular malware that has been used by APT29 since at least 2019.[1]

EnterpriseS0682MalwareObject v1.1 Modified
Glexia's Take

Analyst context for executives and security teams

Analyst confidence Medium

TrailBlazer matters because MITRE identifies it as modular Windows malware used by APT29 and connected through relationships to the SolarWinds Compromise. Even without ATT&CK-provided detection guidance, the related behaviors point to practical defensive questions: can the organization see stealthy Windows persistence through WMI event subscriptions, disguised artifacts, and command-and-control traffic that blends into normal web protocols or uses junk data to frustrate analysis?

Executive priority

Treat this as a resilience and readiness validation item rather than a standalone indicator list. Security leaders should ask whether Windows endpoint visibility, network monitoring, incident response playbooks, and supply-chain compromise procedures can support investigation of modular malware associated with a high-sophistication campaign context. Priority should focus on evidence quality: WMI persistence auditing, web egress visibility, malware triage capability, and the ability to reconstruct activity when official ATT&CK detection guidance is absent.

Technical view

For SOC, detection engineering, and IR teams, validate coverage around the techniques MITRE relates to TrailBlazer: Data Obfuscation and Junk Data for command-and-control, Web Protocols for C2 over common application traffic, Masquerading for stealth, and WMI Event Subscription for Windows persistence and privilege-related execution. Because the malware object itself lists Windows as the platform and no native detection text or tactics, teams should avoid assuming complete coverage from generic malware alerts and instead test whether endpoint and network telemetry can expose abnormal WMI subscriptions, suspicious artifact naming or placement, and unusual web traffic patterns requiring deeper protocol or content analysis.

Likely telemetry

  • Windows endpoint telemetry, especially process creation, file creation/modification, service or persistence-related activity, and security tool alerts
  • WMI repository and event subscription evidence, including filters, consumers, and bindings
  • Network proxy, firewall, DNS, and web gateway logs for outbound HTTP/S or other web-protocol communications
  • Packet capture or enriched network metadata where available to support analysis of obfuscated or junk-filled command-and-control traffic
  • EDR or malware analysis records that preserve file metadata, execution context, parent-child process relationships, and host timeline data

Detection direction

  • Validate that monitoring can identify creation or modification of WMI event subscriptions on Windows systems, then tune for administrative tooling and management-platform false positives.
  • Review detection logic for masquerading: suspicious names, paths, metadata, or placement that imitate legitimate software, while accounting for legitimate software deployment and administration activity.
  • Assess web egress analytics for command-and-control over common web protocols; focus on unusual destinations, beacon-like patterns, rare user agents, abnormal request structure, or traffic inconsistent with the host role.
  • Where feasible, include inspection or metadata-based detection for obfuscated traffic and junk data patterns, recognizing that encrypted web traffic and privacy controls may limit content visibility.
  • Use the SolarWinds Compromise and APT29 relationships as threat-intelligence context for prioritizing hunts and tabletop scenarios, not as proof of current activity in the environment.

Mitigation priorities

  • Ensure Windows systems are covered by endpoint logging and response tooling capable of recording WMI persistence and suspicious execution context.
  • Restrict and monitor WMI administrative capability according to least privilege, with change control for legitimate event subscriptions.
  • Strengthen outbound web traffic controls through proxying, egress filtering, destination reputation review, and logging retention sufficient for incident reconstruction.
  • Maintain malware triage and incident response procedures for modular malware, including host isolation, forensic collection, persistence review, and network scope analysis.
  • Include supply-chain compromise scenarios in readiness exercises where relevant, because the related campaign context includes SolarWinds Compromise, but base local risk decisions on actual vendor exposure and environment evidence.
Analyst notes and limits

MITRE’s object identifies TrailBlazer as modular malware used by APT29 since at least 2019, with a CrowdStrike StellarParticle reference and relationships to the SolarWinds Compromise, APT29, and five techniques. The most decision-useful parts of the supplied data are the Windows platform and the related techniques that indicate stealth, persistence, and command-and-control analysis requirements.

Official ATT&CK detection text is not provided, tactics are not specified on the malware object, and the supplied data does not include indicators, hashes, infrastructure, prevalence, or current exploitation status. Local telemetry, asset exposure, and threat intelligence are required to determine whether TrailBlazer-related behavior is present or whether existing controls are effective.

Official MITRE ATT&CK definition

TrailBlazer

TrailBlazer is a modular malware that has been used by APT29 since at least 2019.[1]

View the same entry on attack.mitre.org (MITRE-hosted reference; in-page links above use the Glexia ATT&CK library.)

Glexia analysis

How security teams should use this page

Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.

ATT&CK relationship table

Techniques used

This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.

5 rows
Domain ID Name Relationship / procedure
Enterprise T1001.001 Junk Data Sub-technique

TrailBlazer has used random identifier strings to obscure its C2 operations and result codes.CitationCrowdStrike StellarParticle January 2022

Enterprise T1001 Data Obfuscation

TrailBlazer can masquerade its C2 traffic as legitimate Google Notifications HTTP requests.CitationCrowdStrike StellarParticle January 2022

Enterprise T1071.001 Web Protocols Sub-technique

TrailBlazer has used HTTP requests for C2.CitationCrowdStrike StellarParticle January 2022

Enterprise T1036 Masquerading

TrailBlazer has used filenames that match the name of the compromised system in attempt to avoid detection.CitationCrowdStrike StellarParticle January 2022

Enterprise T1546.003 Windows Management Instrumentation Event Subscription Sub-technique

TrailBlazer has the ability to use WMI for persistence.CitationCrowdStrike StellarParticle January 2022

Associated objects

Groups, software, and campaigns

Group Enterprise

G0016: APT29

APT29 is threat group that has been attributed to Russia's Foreign Intelligence Service (SVR).[1][2] They have operated since at least 2008, often targeting government networks in Europe and NATO member countries, research institutes, and think tanks. APT29 reportedly compromised the Democratic National Committee starting in the summer of 2015.[3][4][5][6]

In April 2021, the US and UK governments attributed the SolarWinds Compromise to the SVR; public statements included citations to APT29, Cozy Bear, and The Dukes.[7][8] Industry reporting also referred to the actors involved in this campaign as UNC2452, NOBELIUM, StellarParticle, Dark Halo, and SolarStorm.[9][10][11][12][13][14]

Campaign Enterprise

C0024: SolarWinds Compromise

The SolarWinds Compromise was a sophisticated supply chain cyber operation conducted by APT29 that was discovered in mid-December 2020. APT29 used customized malware to inject malicious code into the SolarWinds Orion software build process that was later distributed through a normal software update; they also used password spraying, token theft, API abuse, spear phishing, and other supply chain attacks to compromise user accounts and leverage their associated access. Victims of this campaign included government, consulting, technology, telecom, and other organizations in North America, Europe, Asia, and the Middle East. This activity has been labled the StellarParticle campaign in industry reporting.[1] Industry reporting also initially referred to the actors involved in this campaign as UNC2452, NOBELIUM, Dark Halo, and SolarStorm.[2][3][4][5][1][6][7][8]

In April 2021, the US and UK governments attributed the SolarWinds Compromise to Russia's Foreign Intelligence Service (SVR); public statements included citations to APT29, Cozy Bear, and The Dukes.[9][10][11] The US government assessed that of the approximately 18,000 affected public and private sector customers of Solar Winds’ Orion product, a much smaller number were compromised by follow-on APT29 activity on their systems.[12]

Relationship explorer

All related ATT&CK context

Change history

Object version and sync metadata

The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates .

ATT&CK release
19.1
Object version
1.1
Created
Modified
Raw hash
da278e2eca071efd...
Imported snapshots across ATT&CK releases (1)
Release Bundle imported Object version Modified Status Raw hash
19.1 1.1 Current bundle da278e2eca07…
Raw source

Mirrored ATT&CK source object

The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.

Source references

External references and citations

MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.

  1. [1]
    CrowdStrike StellarParticle January 2022

    CrowdStrike. (2022, January 27). Early Bird Catches the Wormhole: Observations from the StellarParticle Campaign. Retrieved February 7, 2022.

    Open source URL
  2. [2]
    mitre-attack S0682
    Open source URL
Source and licensing

Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.