T1654: Log Enumeration
Adversaries may enumerate system and service logs to find useful data. These logs may highlight various types of valuable insights for an adversary, such as user authentication records (Account Discovery), security or vulnerable software (Software Discovery), or hosts within a compromised network (Remote System Discovery).
Host binaries may be leveraged to collect system logs. Examples include using `wevtutil.exe` or PowerShell on Windows to access and/or export security event information.[1][2] In cloud environments, adversaries may leverage utilities such as the Azure VM Agent’s `CollectGuestLogs.exe` to collect security logs from cloud hosted infrastructure.[3]
Adversaries may also target centralized logging infrastructure such as SIEMs. Logs may also be bulk exported and sent to adversary-controlled infrastructure for offline analysis.
In addition to gaining a better understanding of the environment, adversaries may also monitor logs in real time to track incident response procedures. This may allow them to adjust their techniques in order to maintain persistence or evade defenses.[4]
Analyst context for executives and security teams
Log Enumeration matters because an intruder who can read host, cloud, or centralized logs can learn how the environment works, where accounts and systems are, what security tools are present, and how responders are reacting. This is a discovery behavior, but it can materially affect incident containment because logs may help adversaries adjust activity to avoid defenses or maintain access.
Executive priority
Treat access to logs as access to sensitive operational intelligence. Leaders should ask whether log repositories, SIEM access, cloud guest logs, Windows event logs, Linux/macOS logs, and ESXi-related logs are governed with least privilege and monitored for unusual export or access. The business risk is not only data exposure; it is that incident response, identity activity, vulnerability clues, and system inventory information may be exposed to an adversary during an intrusion.
Technical view
For SOC, detection engineering, and IR teams, validate visibility across ESXi, IaaS, Linux, macOS, and Windows for abnormal log access, log export, and centralized logging queries. ATT&CK notes use of host binaries such as wevtutil.exe and PowerShell on Windows, cloud utilities such as Azure VM Agent CollectGuestLogs.exe, and possible targeting of SIEM or centralized logging infrastructure. Because MITRE provides no official detection text for this technique, detections should be built around local baselines for who normally reads, exports, searches, or bulk downloads logs and from where.
Likely telemetry
- Windows event log access and export activity, including command-line telemetry for wevtutil.exe and PowerShell
- Process creation and command-line telemetry on Windows, Linux, macOS, and ESXi where available
- Cloud infrastructure audit logs for guest log collection, VM agent activity, and administrative access to log artifacts
- SIEM and centralized logging platform audit logs, including search, export, bulk download, and privilege changes
- Identity and access logs showing users, service accounts, roles, and sessions used to access logs
Detection direction
- Validate DET0255, Detection Strategy for Log Enumeration, against local platforms and logging architecture rather than assuming coverage from ATT&CK alone.
- Alert on unusual log export, bulk download, high-volume SIEM queries, or access to security/authentication logs by accounts that do not normally perform those actions.
- Correlate log enumeration with related discovery context identified by ATT&CK: account discovery, software discovery, and remote system discovery.
- Tune carefully for administrators, incident responders, backup jobs, compliance exports, and monitoring tools, which may legitimately access or export logs.
- Prioritize monitoring of centralized logging infrastructure because access there can reveal broad environment and incident response visibility from one location.
Mitigation priorities
- Apply User Account Management principles, especially least privilege, to log access across hosts, cloud infrastructure, and centralized logging systems.
- Restrict SIEM and log repository permissions to roles with a defined operational need, and separate routine monitoring access from administrative/export privileges.
- Review service accounts and cloud roles that can collect or export guest, security, authentication, or infrastructure logs.
- Maintain audit logging for the logging systems themselves so access, search, export, and privilege changes are reviewable during investigations.
- Include log-access review in incident response playbooks, especially when containment actions or responder activity may be visible to an intruder.
Analyst notes and limits
This technique has relationship context to multiple groups and software, including Mustang Panda, Aquatic Panda, Ember Bear, Volt Typhoon, APT5, Pacu, DUSTTRAP, Megazord, Akira _v2, and BeaverTail. These relationships support the defensive priority of monitoring log access across enterprise, cloud, and ESXi-related environments, but they should not be treated as proof of activity in any specific organization.
MITRE does not provide official detection guidance for T1654 in the supplied fields. Specific analytics, thresholds, and false-positive handling require local knowledge of administrative workflows, SIEM usage, cloud logging design, endpoint telemetry, and incident response procedures.
Log Enumeration
Adversaries may enumerate system and service logs to find useful data. These logs may highlight various types of valuable insights for an adversary, such as user authentication records (Account Discovery), security or vulnerable software (Software Discovery), or hosts within a compromised network (Remote System Discovery).
Host binaries may be leveraged to collect system logs. Examples include using `wevtutil.exe` or PowerShell on Windows to access and/or export security event information.[1][2] In cloud environments, adversaries may leverage utilities such as the Azure VM Agent’s `CollectGuestLogs.exe` to collect security logs from cloud hosted infrastructure.[3]
Adversaries may also target centralized logging infrastructure such as SIEMs. Logs may also be bulk exported and sent to adversary-controlled infrastructure for offline analysis.
In addition to gaining a better understanding of the environment, adversaries may also monitor logs in real time to track incident response procedures. This may allow them to adjust their techniques in order to maintain persistence or evade defenses.[4]
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.
Groups, software, and campaigns
G1023: APT5
APT5 is a China-based espionage actor that has been active since at least 2007 primarily targeting the telecommunications, aerospace, and defense industries throughout the U.S., Europe, and Asia. APT5 has displayed advanced tradecraft and significant interest in compromising networking devices and their underlying software including through the use of zero-day exploits.[1][2][3][4][5][6]
G1003: Ember Bear
Ember Bear is a Russian state-sponsored cyber espionage group that has been active since at least 2020, linked to Russia's General Staff Main Intelligence Directorate (GRU) 161st Specialist Training Center (Unit 29155).[1] Ember Bear has primarily focused operations against Ukrainian government and telecommunication entities, but has also operated against critical infrastructure entities in Europe and the Americas.[2] Ember Bear conducted the WhisperGate destructive wiper attacks against Ukraine in early 2022.[3][4][1] There is some confusion as to whether Ember Bear overlaps with another Russian-linked entity referred to as Saint Bear. At present available evidence strongly suggests these are distinct activities with different behavioral profiles.[2][5]
G1017: Volt Typhoon
Volt Typhoon is a People's Republic of China (PRC) state-sponsored actor that has been active since at least 2021, primarily targeting critical infrastructure organizations in the US and its territories including Guam. Volt Typhoon's targeting and pattern of behavior have been assessed as pre-positioning to enable lateral movement to operational technology (OT) assets for potential destructive or disruptive attacks. Volt Typhoon has emphasized stealth in operations using web shells, living-off-the-land (LOTL) binaries, hands on keyboard activities, and stolen credentials.[1][2][3][4]. The group has leveraged compromised SOHO routers to proxy command and control traffic and obscure its infrastructure, activity associated with the KV botnet.[5].
Reporting indicates a separate initial access cluster, SYLVANITE, has been observed exploiting internet-facing edge devices and transferring access to Volt Typhoon, also tracked as VOLTZITE, for follow-on operations. [6]
G0143: Aquatic Panda
Aquatic Panda is a suspected China-based threat group with a dual mission of intelligence collection and industrial espionage. Active since at least May 2020, Aquatic Panda has primarily targeted entities in the telecommunications, technology, and government sectors.[1]
G0129: Mustang Panda
Mustang Panda is a China-based cyber espionage threat actor that has been conducting operations since at least 2012. Mustang Panda has been known to use tailored phishing lures and decoy documents to deliver malicious payloads. Mustang Panda has targeted government, diplomatic, and non-governmental organizations, including think tanks, religious institutions, and research entities, across the United States, Europe, and Asia, with notable activity in Russia, Mongolia, Myanmar, Pakistan, and Vietnam. [1][2][3][4][5][6][7][8][9][10][11][12][13]
S1246: BeaverTail
BeaverTail is a malware that has both a JavaScript and C++ variant. Active since 2022, BeaverTail is capable of stealing logins from browsers and serves as a downloader for second stage payloads. BeaverTail has previously been leveraged by North Korea-affiliated actors identified as DeceptiveDevelopment or Contagious Interview. BeaverTail has been delivered to victims through code repository sites and has been embedded within malicious attachments.[1][2][3][4]
S1091: Pacu
Pacu is an open-source AWS exploitation framework. The tool is written in Python and publicly available on GitHub.[1]
S1191: Megazord
S1194: Akira _v2
S1159: DUSTTRAP
All related ATT&CK context
Mitigation direction
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 .
Imported snapshots across ATT&CK releases (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.2 | Current bundle | 02fc10ae91a0… |
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.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
-
[1]
WithSecure Lazarus-NoPineapple Threat Intel Report 2023
Ruohonen, S. & Robinson, S. (2023, February 2). No Pineapple! -DPRK Targeting of Medical Research and Technology Sector. Retrieved July 10, 2023.
Open source URL -
[2]
Cadet Blizzard emerges as novel threat actor
Microsoft Threat Intelligence. (2023, June 14). Cadet Blizzard emerges as a novel and distinct Russian threat actor. Retrieved July 10, 2023.
Open source URL -
[3]
SIM Swapping and Abuse of the Microsoft Azure Serial Console
Mandiant Intelligence. (2023, May 16). SIM Swapping and Abuse of the Microsoft Azure Serial Console: Serial Is Part of a Well Balanced Attack. Retrieved June 2, 2023.
Open source URL -
[4]
Permiso GUI-Vil 2023
Ian Ahl. (2023, May 22). Unmasking GUI-Vil: Financially Motivated Cloud Threat Actor. Retrieved August 30, 2024.
Open source URL -
[5]
mitre-attack T1654Open source URL
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.