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MITRE ATT&CK® Technique

T1027.007: Dynamic API Resolution

Adversaries may obfuscate then dynamically resolve API functions called by their malware in order to conceal malicious functionalities and impair defensive analysis. Malware commonly uses various Native API functions provided by the OS to perform various tasks such as those involving processes, files, and other system artifacts.

API functions called by malware may leave static artifacts such as strings in payload files. Defensive analysts may also uncover which functions a binary file may execute via an import address table (IAT) or other structures that help dynamically link calling code to the shared modules that provide functions.[1][2]

To avoid static or other defensive analysis, adversaries may use dynamic API resolution to conceal malware characteristics and functionalities. Similar to Software Packing, dynamic API resolution may change file signatures and obfuscate malicious API function calls until they are resolved and invoked during runtime.

Various methods may be used to obfuscate malware calls to API functions. For example, hashes of function names are commonly stored in malware in lieu of literal strings. Malware can use these hashes (or other identifiers) to manually reproduce the linking and loading process using functions such as `GetProcAddress()` and `LoadLibrary()`. These hashes/identifiers can also be further obfuscated using encryption or other string manipulation tricks (requiring various forms of Deobfuscate/Decode Files or Information during execution).[3][4][1]

EnterpriseT1027.007Sub-techniqueObject v2.0Modified
Glexia's Take · Automated analysis

Security context for executives and security teams

Automation confidenceHigh

Dynamic API Resolution is a Windows malware obfuscation behavior where malicious code hides the operating system functions it intends to call until runtime. For leaders, the practical issue is that file-based review, simple string matching, or import-table inspection may understate what a payload can do. This matters for incident response and SOC readiness because the decisive evidence often appears during execution, not just in the file at rest.

Executive priority

Prioritize this as a defense-evasion and analysis-readiness problem rather than a standalone business impact. Teams should be able to answer: do we rely too heavily on static malware indicators, do our endpoint and malware-analysis workflows capture runtime API resolution, and can analysts explain suspicious Windows payload behavior when imports and strings are intentionally missing or hashed? The number of ATT&CK relationships to groups and malware families makes this useful for threat-intelligence mapping and detection validation, but it should not be treated as proof of local exposure without environment evidence.

Technical view

ATT&CK identifies this as sub-technique T1027.007 under Obfuscated Files or Information, on Windows, with the stealth tactic. The behavior centers on concealing API function calls through methods such as hashed function names, encrypted or manipulated identifiers, and runtime resolution using functions such as GetProcAddress() and LoadLibrary(). SOC, reverse-engineering, and IR teams should validate that suspicious binaries are not assessed only by visible strings or import address table contents. The related detection strategy DET0091 specifically points toward detecting dynamic API resolution via hash-based function lookups, so detection engineering should focus on runtime function-resolution patterns and repeated lookup logic rather than only static signatures.

Likely telemetry

  • Windows endpoint process execution telemetry for suspicious payloads and child processes
  • Module or library load evidence, especially runtime loading behavior consistent with LoadLibrary() usage
  • API-call or EDR behavioral telemetry showing GetProcAddress(), LoadLibrary(), or comparable runtime resolution activity
  • Static analysis artifacts such as import address tables, embedded strings, and absence or obfuscation of expected imports
  • Memory or sandbox execution traces showing APIs resolved and invoked during runtime

Detection direction

  • Do not depend solely on static strings, file signatures, or import-table inspection; this technique is designed to reduce the value of those signals.
  • Validate DET0091-style logic for hash-based function lookups in malware analysis and endpoint telemetry where available.
  • Correlate dynamic API resolution with other suspicious behaviors after resolution, such as process, file, and system-artifact interaction, rather than alerting on API resolution alone.
  • Tune for false positives because legitimate software can dynamically load libraries and resolve functions; suspiciousness should increase when resolution is paired with obfuscated identifiers, hashing loops, packed or obfuscated files, or other T1027 behaviors.
  • Use relationship context for hunting and enrichment: ATT&CK links this behavior to Windows malware such as PlugX, Pteranodon, Bazar, Brute Ratel C4, Raccoon Stealer, Latrodectus, and multiple Mustang Panda-associated tools, but local detections should still be behavior-based.

Mitigation priorities

  • Treat this as an analysis-evasion gap: improve runtime malware-analysis capability before relying on static triage conclusions.
  • Ensure endpoint controls and SOC workflows preserve enough process, module-load, and behavioral telemetry to reconstruct resolved functionality during investigations.
  • Layer detections with broader Obfuscated Files or Information coverage and downstream behavior monitoring, because preventing dynamic API resolution itself is not presented by ATT&CK as a standalone mitigation in the supplied object.
  • Use threat-intelligence relationships to prioritize validation against Windows malware and tools mapped to this technique, especially where those families align to the organization’s sector or threat model.
  • Document coverage and known blind spots for audit and incident-readiness evidence, including whether dynamic analysis, memory inspection, or EDR behavioral traces are available.
Additional notes and limits

The supplied ATT&CK object has no official detection text, so the strongest detection lead comes from the related DET0091 strategy for hash-based function lookups and from the technique description. ATT&CK relationships include use by Lazarus Group, Kimsuky, Mustang Panda, and numerous Windows malware or tooling entries, but those relationships should be used for enrichment and prioritization, not attribution by themselves.

This take is limited to the supplied ATT&CK fields, references, and relationships. No official mitigations or detection procedure text was provided, and the object only lists Windows as the platform. Local telemetry availability, endpoint sensor depth, malware-analysis tooling, and environment-specific baselines are required to assess actual coverage.

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Official MITRE ATT&CK definition

Dynamic API Resolution

Adversaries may obfuscate then dynamically resolve API functions called by their malware in order to conceal malicious functionalities and impair defensive analysis. Malware commonly uses various Native API functions provided by the OS to perform various tasks such as those involving processes, files, and other system artifacts.

API functions called by malware may leave static artifacts such as strings in payload files. Defensive analysts may also uncover which functions a binary file may execute via an import address table (IAT) or other structures that help dynamically link calling code to the shared modules that provide functions.[1][2]

To avoid static or other defensive analysis, adversaries may use dynamic API resolution to conceal malware characteristics and functionalities. Similar to Software Packing, dynamic API resolution may change file signatures and obfuscate malicious API function calls until they are resolved and invoked during runtime.

Various methods may be used to obfuscate malware calls to API functions. For example, hashes of function names are commonly stored in malware in lieu of literal strings. Malware can use these hashes (or other identifiers) to manually reproduce the linking and loading process using functions such as `GetProcAddress()` and `LoadLibrary()`. These hashes/identifiers can also be further obfuscated using encryption or other string manipulation tricks (requiring various forms of Deobfuscate/Decode Files or Information during execution).[3][4][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

Related techniques

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.

1 rows
DomainIDNameRelationship / procedure
EnterpriseT1027Obfuscated Files or InformationThis object subtechnique of Obfuscated Files or Information.
Associated objects

Groups, software, and campaigns

GroupEnterprise

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]

GroupEnterprise

G0094: Kimsuky

Kimsuky is a Democratic People's Republic of Korea (DPRK)-based cyber espionage group that has been active since at least 2012. The group initially targeted South Korean government agencies, think tanks, and subject-matter experts in various fields. Its operations expanded to include the United Nations and organizations in the government, education, business services, and manufacturing sectors across the United States, Japan, Russia, and Europe. Kimsuky has focused collection on foreign policy and national security issues tied to the Korean Peninsula, nuclear policy, and sanctions. Kimsuky operations have overlapped with those of other North Korean state-sponsored cyber espionage actors as a result of ad hoc collaborations or other limited resource sharing.[1][2][3][4][5][6]

Kimsuky was assessed to be responsible for the 2014 Korea Hydro & Nuclear Power Co. compromise; other notable campaigns include Operation STOLEN PENCIL (2018), Operation Kabar Cobra (2019), and Operation Smoke Screen (2019).[7][8][9] In 2023, Kimsuky was observed using commercial large language models (LLMs) to assist with vulnerability research, scripting, social engineering and reconnaissance.[10]

DPRK threat actor cluster boundaries overlap in open source reporting, with some security researchers consolidating all attributed North Korean state-sponsored cyber activity under Lazarus Group, rather than tracking operationally distinct subgroups.

GroupEnterprise

G0032: Lazarus Group

Lazarus Group is a North Korean state-sponsored cyber threat group attributed to the Reconnaissance General Bureau (RGB). [1] [2] Lazarus Group has been active since at least 2009 and is reportedly responsible for the November 2014 destructive wiper attack on Sony Pictures Entertainment, identified by Novetta as part of Operation Blockbuster. Malware used by Lazarus Group correlates to other reported campaigns, including Operation Flame, Operation 1Mission, Operation Troy, DarkSeoul, and Ten Days of Rain.[3]

North Korea’s cyber operations have shown a consistent pattern of adaptation, forming and reorganizing units as national priorities shift. These units frequently share personnel, infrastructure, malware, and tradecraft, making it difficult to attribute specific operations with high confidence. Public reporting often uses “Lazarus Group” as an umbrella term for multiple North Korean cyber operators conducting espionage, destructive attacks, and financially motivated campaigns.[4][5][6]

MalwareEnterprise

S1160: Latrodectus

Latrodectus is a Windows malware downloader that has been used since at least 2023 to download and execute additional payloads and modules. Latrodectus has most often been distributed through email campaigns, primarily by TA577 and TA578, and has infrastructure overlaps with historic IcedID operations.[1][2][3]

Windows
MalwareEnterprise

S1237: CANONSTAGER

CANONSTAGER is a loader known to be leveraged by Mustang Panda and was first observed utilized in 2025. Mustang Panda utilizes DLL side-loading to execute within the victim environment prior to delivering a follow-on malicious encrypted payload. CANONSTAGER leverages Thread Local Storage (TLS) and Native Windows APIs within the victim environment to elude detections. CANONSTAGER also hides its code utilizing window procedures and message queues.[1]

Windows
MalwareEnterprise

S0534: Bazar

Bazar is a downloader and backdoor that has been used since at least April 2020, with infections primarily against professional services, healthcare, manufacturing, IT, logistics and travel companies across the US and Europe. Bazar reportedly has ties to TrickBot campaigns and can be used to deploy additional malware, including ransomware, and to steal sensitive data.[1]

Windows
MalwareEnterprise

S9007: HTTPTroy

HTTPTroy is a highly obfuscated backdoor that facilitates collection, command and control, defense evasion and exfiltration. HTTPTroy was first reported in October 2025. HTTPTroy has been observed in operations attributed to DPRK-affiliated threat actors, including Kimsuky. HTTPTroy has been delivered to victims through a separate loader leveraged by Kimsuky.[1]

Windows
MalwareEnterprise

S9020: LODEINFO

LODEINFO is a fileless backdoor malware first identified in 2020 that has been used by actors including MirrorFace, primarily against media, diplomatic, governmental, and public sector organizations in Japan.[1][2][3]

Windows
MalwareEnterprise

S1053: AvosLocker

AvosLocker is ransomware written in C++ that has been offered via the Ransomware-as-a-Service (RaaS) model. It was first observed in June 2021 and has been used against financial services, critical manufacturing, government facilities, and other critical infrastructure sectors in the United States. As of March 2022, AvosLocker had also been used against organizations in Belgium, Canada, China, Germany, Saudi Arabia, Spain, Syria, Taiwan, Turkey, the United Arab Emirates, and the United Kingdom.[1][2][3]

LinuxWindows
MalwareEnterprise

S1148: Raccoon Stealer

Raccoon Stealer is an information stealer malware family active since at least 2019 as a malware-as-a-service offering sold in underground forums. Raccoon Stealer has experienced two periods of activity across two variants, from 2019 to March 2022, then resurfacing in a revised version in June 2022.[1][2]

Windows
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
2.0
Created
Modified
Raw hash
df7aa340703bad54...
Imported snapshots across ATT&CK releases(1)
ReleaseBundle importedObject versionModifiedStatusRaw hash
19.12.0Current bundledf7aa340703b…
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]
    Huntress API Hash

    Brennan, M. (2022, February 16). Hackers No Hashing: Randomizing API Hashes to Evade Cobalt Strike Shellcode Detection. Retrieved August 22, 2022.

    Open source URL
  2. [2]
    IRED API Hashing

    spotheplanet. (n.d.). Windows API Hashing in Malware. Retrieved August 22, 2022.

    Open source URL
  3. [3]
    BlackHat API Packers

    Choi, S. (2015, August 6). Obfuscated API Functions in Modern Packers. Retrieved August 22, 2022.

    Open source URL
  4. [4]
    Drakonia HInvoke

    drakonia. (2022, August 10). HInvoke and avoiding PInvoke. Retrieved August 22, 2022.

    Open source URL
  5. [5]
    Eset PlugX Korplug Mustang Panda March 2022

    Alexandre Cote Cyr. (2022, March 23). Mustang Panda’s Hodur: Old tricks, new Korplug variant. Retrieved September 9, 2025.

    Open source URL
  6. [6]
    Zscaler PAKLOG CorkLog SplatCloak Splatdropper April 2025

    Sudeep Singh. (2025, April 16). Latest Mustang Panda Arsenal: PAKLOG, CorKLOG, and SplatCloak | P2. Retrieved September 12, 2025.

    Open source URL
  7. [7]
    Zscaler

    Sudeep Singh. (2025, April 16). Latest Mustang Panda Arsenal: ToneShell and StarProxy | P1. Retrieved July 21, 2025.

    Open source URL
  8. [8]
    Gen Digital Kimsuky HTTPTroy October 2025

    Alexndru-Cristian Bardas. (2025, October 30). DPRK’s Playbook: Kimsuky’s HttpTroy and Lazarus’s New BLINDINGCAN Variant. Retrieved April 8, 2026.

    Open source URL
  9. [9]
    Latrodectus APR 2024

    Proofpoint Threat Research and Team Cymru S2 Threat Research. (2024, April 4). Latrodectus: This Spider Bytes Like Ice . Retrieved May 31, 2024.

    Open source URL
  10. [10]
    Google Threat Intelligence Group MUSTANG PANDA PLUGX August 2025

    Patrick Whitsell. (2025, August 25). Deception in Depth: PRC-Nexus Espionage Campaign Hijacks Web Traffic to Target Diplomats. Retrieved September 9, 2025.

    Open source URL
  11. [11]
    Cybereason Bazar July 2020

    Cybereason Nocturnus. (2020, July 16). A BAZAR OF TRICKS: FOLLOWING TEAM9’S DEVELOPMENT CYCLES. Retrieved November 18, 2020.

    Open source URL
  12. [12]
    NCC Group Team9 June 2020

    Pantazopoulos, N. (2020, June 2). In-depth analysis of the new Team9 malware family. Retrieved December 1, 2020.

    Open source URL
  13. [13]
    ESET_MuddyWater_Dec2025

    ESET Research. (2025, December 2). MuddyWater: Snakes by the riverbank. Retrieved February 17, 2026.

    Open source URL
  14. [14]
    ESET HiddenFace 2024

    Breitenbacher, D. (2024). Unmasking HiddenFace. Retrieved April 17, 2026.

    Open source URL
  15. [15]
    Trend Micro Earth Kasha NOV 2024

    Trend Micro. (2024, November 19). Spot the Difference: Earth Kasha's New LODEINFO Campaign And The Correlation Analysis With The APT10 Umbrella. Retrieved April 17, 2026.

    Open source URL
  16. [16]
    Kaspersky LODEINFO Part II OCT 2022

    Ishimaru, S. (2022, October 31). APT10: Tracking down LODEINFO 2022, part II. Retrieved April 17, 2026.

    Open source URL
  17. [17]
    Malwarebytes AvosLocker Jul 2021

    Hasherezade. (2021, July 23). AvosLocker enters the ransomware scene, asks for partners. Retrieved January 11, 2023.

    Open source URL
  18. [18]
    Sekoia Raccoon1 2022

    Quentin Bourgue, Pierre le Bourhis, & Sekoia TDR. (2022, June 28). Raccoon Stealer v2 - Part 1: The return of the dead. Retrieved August 1, 2024.

    Open source URL
  19. [19]
    Sekoia Raccoon2 2022

    Pierre Le Bourhis, Quentin Bourgue, & Sekoia TDR. (2022, June 29). Raccoon Stealer v2 - Part 2: In-depth analysis. Retrieved August 1, 2024.

    Open source URL
  20. [20]
    Lazarus APT January 2022

    Saini, A. and Hossein, J. (2022, January 27). North Korea’s Lazarus APT leverages Windows Update client, GitHub in latest campaign. Retrieved January 27, 2022.

    Open source URL
  21. [21]
    Microsoft Actinium February 2022

    Microsoft Threat Intelligence Center. (2022, February 4). ACTINIUM targets Ukrainian organizations. Retrieved February 18, 2022.

    Open source URL
  22. [22]
    Mandiant ROADSWEEP August 2022

    Jenkins, L. at al. (2022, August 4). ROADSWEEP Ransomware - Likely Iranian Threat Actor Conducts Politically Motivated Disruptive Activity Against Albanian Government Organizations. Retrieved August 6, 2024.

    Open source URL
  23. [23]
    Palo Alto Brute Ratel July 2022

    Harbison, M. and Renals, P. (2022, July 5). When Pentest Tools Go Brutal: Red-Teaming Tool Being Abused by Malicious Actors. Retrieved February 1, 2023.

    Open source URL
  24. [24]
    Kaspersky ToddyCat June 2022

    Dedola, G. (2022, June 21). APT ToddyCat. Retrieved January 3, 2024.

    Open source URL
  25. [25]
    IBM MUSTANG PANDA PUBLOAD CLAIMLOADER JUNE 2025

    Golo Muhr, Joshua Chung. (2025, June 23). Hive0154 aka Mustang Panda shifts focus on Tibetan community to deploy Pubload backdoor. Retrieved August 4, 2025.

    Open source URL
  26. [26]
    2025_IBM_PUBLOAD_TONESHELL_HIUPAN_CLAIMLOADER_MUSTANG PANDA

    Golo Muhr, Joshua Chung. (2025, May 15). Hive0154 targeting US, Philippines, Pakistan and Taiwan in suspected espionage campaign. Retrieved August 4, 2025.

    Open source URL
  27. [27]
    BlackHat API Packers

    Choi, S. (2015, August 6). Obfuscated API Functions in Modern Packers. Retrieved August 22, 2022.

    Open source URL
  28. [28]
    BlackHat API Packers

    Choi, S. (2015, August 6). Obfuscated API Functions in Modern Packers. Retrieved August 22, 2022.

    Open source URL
  29. [29]
    Drakonia HInvoke

    drakonia. (2022, August 10). HInvoke and avoiding PInvoke. Retrieved August 22, 2022.

    Open source URL
  30. [30]
    Drakonia HInvoke

    drakonia. (2022, August 10). HInvoke and avoiding PInvoke. Retrieved August 22, 2022.

    Open source URL
  31. [31]
    Huntress API Hash

    Brennan, M. (2022, February 16). Hackers No Hashing: Randomizing API Hashes to Evade Cobalt Strike Shellcode Detection. Retrieved August 22, 2022.

    Open source URL
  32. [32]
    Huntress API Hash

    Brennan, M. (2022, February 16). Hackers No Hashing: Randomizing API Hashes to Evade Cobalt Strike Shellcode Detection. Retrieved August 22, 2022.

    Open source URL
  33. [33]
    IRED API Hashing

    spotheplanet. (n.d.). Windows API Hashing in Malware. Retrieved August 22, 2022.

    Open source URL
  34. [34]
    IRED API Hashing

    spotheplanet. (n.d.). Windows API Hashing in Malware. Retrieved August 22, 2022.

    Open source URL
  35. [35]
    mitre-attackT1027.007
    Open source URL
  36. [36]
    mitre-attackT1027.007
    Open source URL
  37. [37]
    mitre-attackT1027.007
    Open source URL
  38. [38]
    Eset PlugX Korplug Mustang Panda March 2022

    Alexandre Cote Cyr. (2022, March 23). Mustang Panda’s Hodur: Old tricks, new Korplug variant. Retrieved September 9, 2025.

    Open source URL
  39. [39]
    Zscaler PAKLOG CorkLog SplatCloak Splatdropper April 2025

    Sudeep Singh. (2025, April 16). Latest Mustang Panda Arsenal: PAKLOG, CorKLOG, and SplatCloak | P2. Retrieved September 12, 2025.

    Open source URL
  40. [40]
    Zscaler

    Sudeep Singh. (2025, April 16). Latest Mustang Panda Arsenal: ToneShell and StarProxy | P1. Retrieved July 21, 2025.

    Open source URL
  41. [41]
    Gen Digital Kimsuky HTTPTroy October 2025

    Alexndru-Cristian Bardas. (2025, October 30). DPRK’s Playbook: Kimsuky’s HttpTroy and Lazarus’s New BLINDINGCAN Variant. Retrieved April 8, 2026.

    Open source URL
  42. [42]
    Latrodectus APR 2024

    Proofpoint Threat Research and Team Cymru S2 Threat Research. (2024, April 4). Latrodectus: This Spider Bytes Like Ice . Retrieved May 31, 2024.

    Open source URL
  43. [43]
    Google Threat Intelligence Group MUSTANG PANDA PLUGX August 2025

    Patrick Whitsell. (2025, August 25). Deception in Depth: PRC-Nexus Espionage Campaign Hijacks Web Traffic to Target Diplomats. Retrieved September 9, 2025.

    Open source URL
  44. [44]
    Cybereason Bazar July 2020

    Cybereason Nocturnus. (2020, July 16). A BAZAR OF TRICKS: FOLLOWING TEAM9’S DEVELOPMENT CYCLES. Retrieved November 18, 2020.

    Open source URL
  45. [45]
    NCC Group Team9 June 2020

    Pantazopoulos, N. (2020, June 2). In-depth analysis of the new Team9 malware family. Retrieved December 1, 2020.

    Open source URL
  46. [46]
    ESET_MuddyWater_Dec2025

    ESET Research. (2025, December 2). MuddyWater: Snakes by the riverbank. Retrieved February 17, 2026.

    Open source URL
  47. [47]
    Gen Digital Kimsuky HTTPTroy October 2025

    Alexndru-Cristian Bardas. (2025, October 30). DPRK’s Playbook: Kimsuky’s HttpTroy and Lazarus’s New BLINDINGCAN Variant. Retrieved April 8, 2026.

    Open source URL
  48. [48]
    Gen Digital Kimsuky HTTPTroy October 2025

    Alexndru-Cristian Bardas. (2025, October 30). DPRK’s Playbook: Kimsuky’s HttpTroy and Lazarus’s New BLINDINGCAN Variant. Retrieved April 8, 2026.

    Open source URL
  49. [49]
    ESET HiddenFace 2024

    Breitenbacher, D. (2024). Unmasking HiddenFace. Retrieved April 17, 2026.

    Open source URL
  50. [50]
    Trend Micro Earth Kasha NOV 2024

    Trend Micro. (2024, November 19). Spot the Difference: Earth Kasha's New LODEINFO Campaign And The Correlation Analysis With The APT10 Umbrella. Retrieved April 17, 2026.

    Open source URL
  51. [51]
    Kaspersky LODEINFO Part II OCT 2022

    Ishimaru, S. (2022, October 31). APT10: Tracking down LODEINFO 2022, part II. Retrieved April 17, 2026.

    Open source URL
  52. [52]
    Malwarebytes AvosLocker Jul 2021

    Hasherezade. (2021, July 23). AvosLocker enters the ransomware scene, asks for partners. Retrieved January 11, 2023.

    Open source URL
  53. [53]
    Sekoia Raccoon1 2022

    Quentin Bourgue, Pierre le Bourhis, & Sekoia TDR. (2022, June 28). Raccoon Stealer v2 - Part 1: The return of the dead. Retrieved August 1, 2024.

    Open source URL
  54. [54]
    Sekoia Raccoon2 2022

    Pierre Le Bourhis, Quentin Bourgue, & Sekoia TDR. (2022, June 29). Raccoon Stealer v2 - Part 2: In-depth analysis. Retrieved August 1, 2024.

    Open source URL
  55. [55]
    Lazarus APT January 2022

    Saini, A. and Hossein, J. (2022, January 27). North Korea’s Lazarus APT leverages Windows Update client, GitHub in latest campaign. Retrieved January 27, 2022.

    Open source URL
  56. [56]
    Microsoft Actinium February 2022

    Microsoft Threat Intelligence Center. (2022, February 4). ACTINIUM targets Ukrainian organizations. Retrieved February 18, 2022.

    Open source URL
  57. [57]
    Mandiant ROADSWEEP August 2022

    Jenkins, L. at al. (2022, August 4). ROADSWEEP Ransomware - Likely Iranian Threat Actor Conducts Politically Motivated Disruptive Activity Against Albanian Government Organizations. Retrieved August 6, 2024.

    Open source URL
  58. [58]
    Eset PlugX Korplug Mustang Panda March 2022

    Alexandre Cote Cyr. (2022, March 23). Mustang Panda’s Hodur: Old tricks, new Korplug variant. Retrieved September 9, 2025.

    Open source URL
  59. [59]
    Eset PlugX Korplug Mustang Panda March 2022

    Alexandre Cote Cyr. (2022, March 23). Mustang Panda’s Hodur: Old tricks, new Korplug variant. Retrieved September 9, 2025.

    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.