S0447: Lokibot
Lokibot is a widely distributed information stealer that was first reported in 2015. It is designed to steal sensitive information such as usernames, passwords, cryptocurrency wallets, and other credentials. Lokibot can also create a backdoor into infected systems to allow an attacker to install additional payloads.[1][2][3]
Analyst context for executives and security teams
Lokibot matters because ATT&CK describes it as a Windows information stealer focused on usernames, passwords, cryptocurrency wallets, and other credentials, with the ability to create a backdoor for additional payloads. For leaders, the practical risk is not just malware cleanup; it is potential credential compromise, follow-on access, and uncertainty about what accounts, wallets, systems, or data paths may have been exposed.
Executive priority
Prioritize Lokibot-style scenarios where credential theft would disrupt operations, enable unauthorized access, or weaken audit confidence. Executives should ask whether the organization can quickly identify affected Windows endpoints, determine which credentials may have been captured, validate outbound web-based command-and-control or exfiltration evidence, and coordinate password/key rotation with incident response. Because ATT&CK links Lokibot to techniques for persistence, stealth, discovery, credential access, exfiltration, and additional payload transfer, response plans should assume endpoint containment and identity remediation must happen together.
Technical view
ATT&CK provides no official detection text for Lokibot, so defenders should validate coverage through its documented relationships rather than a single malware signature. On Windows, prioritize visibility for malicious-file execution, PowerShell and Windows Command Shell use, Visual Basic execution, scheduled task creation, registry modification, process hollowing indicators, keylogging-related behavior, host/user/file/network discovery, file deletion, packed or obfuscated artifacts, deobfuscation activity, web-protocol C2, exfiltration over C2, and ingress tool transfer. Treat the SilverTerrier relationship as threat-intelligence context, not proof of attribution in any local incident.
Likely telemetry
- Windows endpoint process creation and command-line telemetry
- PowerShell execution logs and script block/module logging where available
- Windows Scheduled Task creation and modification events
- Windows Registry modification telemetry
- Endpoint detection telemetry for process injection or process hollowing patterns
Detection direction
- Map detections to the ATT&CK relationships instead of relying only on Lokibot names or hashes, since obfuscation and software packing are documented behaviors.
- Correlate suspicious user-driven file execution with follow-on command shell, PowerShell, Visual Basic, scheduled task, registry, discovery, and outbound web traffic activity.
- Tune for sequences that combine credential-access behavior such as keylogging with system/user discovery and C2/exfiltration indicators.
- Review blind spots around encrypted or common web protocols, packed executables, deleted artifacts, and process-hollowing behaviors that may reduce signature-only visibility.
- Separate administrative false positives from suspicious activity by checking parent process, user context, execution path, task name, registry path, destination reputation, and whether the behavior follows a newly opened file.
Mitigation priorities
- Harden the user-execution path for malicious files through attachment handling, endpoint protection, and user-awareness controls appropriate to the environment.
- Reduce credential exposure by enforcing strong identity controls, rapid credential rotation procedures after suspected compromise, and monitoring for abnormal account use.
- Constrain and monitor PowerShell, command shell, Visual Basic, scheduled tasks, and registry changes on Windows endpoints.
- Improve egress governance by monitoring and controlling outbound web-protocol traffic and investigating unusual C2-like destinations.
- Ensure incident response playbooks cover endpoint isolation, malware artifact preservation, credential impact assessment, and follow-on payload hunting.
Analyst notes and limits
Lokibot is described by ATT&CK as a widely distributed information stealer first reported in 2015. The supplied relationships show use of multiple techniques across execution, persistence, privilege escalation, defense evasion/stealth, discovery, credential access, collection, command and control, and exfiltration. The object itself lists Windows as the platform and does not specify tactics or aliases. External references include CISA, Infoblox, Morphisec, Talos, and MITRE ATT&CK.
MITRE did not provide official detection guidance in the supplied object. This take does not assert current exploitation, local exposure, successful compromise, or guaranteed detection. Local conclusions require endpoint, identity, network, and incident evidence from the environment being assessed.
Lokibot
Lokibot is a widely distributed information stealer that was first reported in 2015. It is designed to steal sensitive information such as usernames, passwords, cryptocurrency wallets, and other credentials. Lokibot can also create a backdoor into infected systems to allow an attacker to install additional payloads.[1][2][3]
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.
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.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1059.005 | Visual Basic Sub-technique | |
| Enterprise | T1566.001 | Spearphishing Attachment Sub-technique | |
| Enterprise | T1027.002 | Software Packing Sub-technique | |
| Enterprise | T1027 | Obfuscated Files or Information | |
| Enterprise | T1140 | Deobfuscate/Decode Files or Information | |
| Enterprise | T1555 | Credentials from Password Stores | |
| Enterprise | T1620 | Reflective Code Loading | |
| Enterprise | T1055.012 | Process Hollowing Sub-technique | |
| Enterprise | T1033 | System Owner/User Discovery | Lokibot has the ability to discover the username on the infected host.CitationFSecure Lokibot November 2019 |
| Enterprise | T1083 | File and Directory Discovery | |
| Enterprise | T1056.001 | Keylogging Sub-technique | Lokibot has the ability to capture input on the compromised host via keylogging.CitationFSecure Lokibot November 2019 |
| Enterprise | T1059.003 | Windows Command Shell Sub-technique | |
| Enterprise | T1112 | Modify Registry | |
| Enterprise | T1053.005 | Scheduled Task Sub-technique | |
| Enterprise | T1497.003 | Time Based Checks Sub-technique | |
| Enterprise | T1041 | Exfiltration Over C2 Channel | Lokibot has the ability to initiate contact with command and control (C2) to exfiltrate stolen data.CitationFSecure Lokibot November 2019 |
| Enterprise | T1053 | Scheduled Task/Job | |
| Enterprise | T1548.002 | Bypass User Account Control Sub-technique | |
| Enterprise | T1082 | System Information Discovery | Lokibot has the ability to discover the computer name and Windows product name/version.CitationFSecure Lokibot November 2019 |
| Enterprise | T1106 | Native API | |
| Enterprise | T1564.001 | Hidden Files and Directories Sub-technique | |
| Enterprise | T1059.001 | PowerShell Sub-technique | |
| Enterprise | T1016 | System Network Configuration Discovery | Lokibot has the ability to discover the domain name of the infected host.CitationFSecure Lokibot November 2019 |
| Enterprise | T1070.004 | File Deletion Sub-technique | |
| Enterprise | T1204.002 | Malicious File Sub-technique | |
| Enterprise | T1071.001 | Web Protocols Sub-technique | |
| Enterprise | T1105 | Ingress Tool Transfer | |
| Enterprise | T1555.003 | Credentials from Web Browsers Sub-technique |
Groups, software, and campaigns
G0083: SilverTerrier
SilverTerrier is a Nigerian threat group that has been seen active since 2014. SilverTerrier mainly targets organizations in high technology, higher education, and manufacturing.[1][2]
All related ATT&CK context
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 | 2.0 | Current bundle | 3d9c6a4f57f6… |
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.
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[1]
Infoblox Lokibot January 2019
Hoang, M. (2019, January 31). Malicious Activity Report: Elements of Lokibot Infostealer. Retrieved May 15, 2020.
Open source URL -
[2]
Morphisec Lokibot April 2020
Cheruku, H. (2020, April 15). LOKIBOT WITH AUTOIT OBFUSCATOR + FRENCHY SHELLCODE. Retrieved May 14, 2020.
Open source URL -
[3]
CISA Lokibot September 2020
DHS/CISA. (2020, September 22). Alert (AA20-266A) LokiBot Malware . Retrieved September 15, 2021.
Open source URL -
[4]
Talos Lokibot Jan 2021
Muhammad, I., Unterbrink, H.. (2021, January 6). A Deep Dive into Lokibot Infection Chain. Retrieved August 31, 2021.
Open source URL -
[5]
Lokibot
(Citation: Infoblox Lokibot January 2019)(Citation: Morphisec Lokibot April 2020)(Citation: Talos Lokibot Jan 2021)
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[6]
mitre-attack S0447Open source URL
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