T1620: Reflective Code Loading
Adversaries may reflectively load code into a process in order to conceal the execution of malicious payloads. Reflective loading involves allocating then executing payloads directly within the memory of the process, vice creating a thread or process backed by a file path on disk (e.g., Shared Modules).
Reflectively loaded payloads may be compiled binaries, anonymous files (only present in RAM), or just snubs of fileless executable code (ex: position-independent shellcode).[1][2][3][4][5] For example, the `Assembly.Load()` method executed by PowerShell may be abused to load raw code into the running process.[6]
Reflective code injection is very similar to Process Injection except that the “injection” loads code into the processes’ own memory instead of that of a separate process. Reflective loading may evade process-based detections since the execution of the arbitrary code may be masked within a legitimate or otherwise benign process. Reflectively loading payloads directly into memory may also avoid creating files or other artifacts on disk, while also enabling malware to keep these payloads encrypted (or otherwise obfuscated) until execution.[3][4][7][8]
Security context for executives and security teams
T1620: Reflective Code Loading describes Adversaries may reflectively load code into a process in order to conceal the execution of malicious payloads. Reflective loading involves allocating then executing payloads directly within the memory of the process, vice creating a thread or process backed by a file path on disk (e.g., [Shared Modules](https://attack.mitre.org/techniques/T1129)). Reflectively loaded payloads may be compiled binaries, anonymous files (only present in RAM), or just snubs of fileless executable code (ex: position-independent shellcod...
Executive priority
T1620: Reflective Code Loading is an official MITRE ATT&CK technique. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate T1620: Reflective Code Loading by reviewing the official ATT&CK relationships, mapped tactics (stealth), supported platforms (Linux, macOS, Windows), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Network, endpoint, and security-tool telemetry
Detection direction
- Validate whether T1620: Reflective Code Loading appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Reflective Code Loading
Adversaries may reflectively load code into a process in order to conceal the execution of malicious payloads. Reflective loading involves allocating then executing payloads directly within the memory of the process, vice creating a thread or process backed by a file path on disk (e.g., Shared Modules).
Reflectively loaded payloads may be compiled binaries, anonymous files (only present in RAM), or just snubs of fileless executable code (ex: position-independent shellcode).[1][2][3][4][5] For example, the `Assembly.Load()` method executed by PowerShell may be abused to load raw code into the running process.[6]
Reflective code injection is very similar to Process Injection except that the “injection” loads code into the processes’ own memory instead of that of a separate process. Reflective loading may evade process-based detections since the execution of the arbitrary code may be masked within a legitimate or otherwise benign process. Reflectively loading payloads directly into memory may also avoid creating files or other artifacts on disk, while also enabling malware to keep these payloads encrypted (or otherwise obfuscated) until execution.[3][4][7][8]
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
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.
G0047: Gamaredon Group
Gamaredon Group is a suspected Russian cyber espionage group that has targeted military, law enforcement, judiciary, non-profit, and non-governmental organizations in Ukraine since at least 2013. The name Gamaredon Group derives from a misspelling of the word "Armageddon," found in early campaigns.[1][2][3][4][5]
In November 2021, the Ukrainian government publicly attributed Gamaredon Group to Russia’s Federal Security Service (FSB) Center 18, an assessment later supported by multiple independent cybersecurity researchers. [6][5]
G0046: FIN7
FIN7 is a financially-motivated threat group that has been active since 2013. FIN7 has targeted the retail, restaurant, hospitality, software, consulting, financial services, medical equipment, cloud services, media, food and beverage, transportation, pharmaceutical, and utilities industries in the United States. A portion of FIN7 was operated out of a front company called Combi Security and often used point-of-sale malware for targeting efforts. Since 2020, FIN7 shifted operations to big game hunting (BGH), including use of REvil ransomware and their own Ransomware-as-a-Service (RaaS), Darkside. FIN7 may be linked to the Carbanak Group, but multiple threat groups have been observed using Carbanak, leading these groups to be tracked separately.[1][2][3][4][5][6][7]
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]
S1145: Pikabot
Pikabot is a backdoor used for initial access and follow-on tool deployment active since early 2023. Pikabot is notable for extensive use of multiple encoding, encryption, and defense evasion mechanisms to evade defenses and avoid analysis. Pikabot has some overlaps with QakBot, but insufficient evidence exists to definitively link these two malware families. Pikabot is frequently used to deploy follow on tools such as Cobalt Strike or ransomware variants.[1][2][3]
S1085: Sardonic
S0367: Emotet
S1081: BADHATCH
S9001: SystemBC
SystemBC is a malware family offered as a malware-as-a-service (MaaS) that is used to establish command and control and facilitate follow-on activity, including ransomware deployment.SystemBC executes a variety of tasks including setting up SOCKS5 proxies, maintaining persistence, ingesting malicious files, and handing C2 communication. SystemBC was first detected in 2018, and has been used by Wizard Spider since at least 2020, and by FIN7 since at least 2022.[1][2][3][4][5]
S0689: WhisperGate
WhisperGate is a multi-stage wiper designed to look like ransomware that has been used against multiple government, non-profit, and information technology organizations in Ukraine since at least January 2022.[1][2][3]
S1143: LunarLoader
LunarLoader is the loader component for the LunarWeb and LunarMail backdoors that has been used by Turla since at least 2020 including against a European ministry of foreign affairs (MFA). LunarLoader has been observed as a standalone and as a part of trojanized open-source software such as AdmPwd.[1]
S0013: PlugX
S1213: Lumma Stealer
Lumma Stealer is an information stealer malware family in use since at least 2022. Lumma Stealer is a Malware as a Service (MaaS) where captured data has been sold in criminal markets to Initial Access Brokers.[1][2][3][4][5]
S0625: Cuba
S0595: ThiefQuest
ThiefQuest is a virus, data stealer, and wiper that presents itself as ransomware targeting macOS systems. ThiefQuest was first seen in 2020 distributed via trojanized pirated versions of popular macOS software on Russian forums sharing torrent links.[1] Even though ThiefQuest presents itself as ransomware, since the dynamically generated encryption key is never sent to the attacker it may be more appropriately thought of as a form of wiper malware.[2][3]
S0661: FoggyWeb
C0058: SharePoint ToolShell Exploitation
The SharePoint ToolShell Exploitation campaign was conducted in July 2025 and encompassed the first waves of exploitation against incompletely patched spoofing (CVE-2025-49706) and remote code execution (CVE-2025-49704) vulnerabilities affecting on-premises Microsoft SharePoint servers. Later patched and updated as CVE-2025-53770 and CVE-2025-53771, the ToolShell vulnerabilities were widely exploited including by China-based ransomware actor Storm-2603 and espionage actors Threat Group-3390 and ZIRCONIUM. SharePoint ToolShell Exploitation targeted multiple regions and industries including finance, education, energy, and healthcare across Asia, Europe, and the United States.[1][2][3][4][5]
C0057: 3CX Supply Chain Attack
The 3CX Supply Chain Attack was the first publicly reported case of one supply chain compromise triggering another, leading to a cascading, two-stage intrusion. The initial supply chain attack began when a 3CX employee downloaded and executed a trojanized, end-of-life version of the X_Trader trading software from Trading Technologies. This provided UNC4736, a threat cluster associated with AppleJeus, access to the 3CX environment. From there UNC4736 compromised the Windows and macOS build environments used to distribute the 3CX desktop application to their customers.[1] While 3CX serves more than 600,000 customers and 12 million users, only a subset of systems were affected. Subsequent targeting focused on victims in the defense and cryptocurrency sectors, where attackers deployed secondary payloads such as Gopuram for credential theft and persistence.[2] The campaign began in late 2022 and was disrupted after security vendors publicly reported the compromise in March 2023.[3][4]
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(2)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.2 | 2.0 | Current bundle | 8bf34c5cfdcf… | ||
| 19.1 | 2.0 | Older bundle | 8bf34c5cfdcf… |
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]Introducing Donut
The Wover. (2019, May 9). Donut - Injecting .NET Assemblies as Shellcode. Retrieved October 4, 2021.
Open source URL - [2]S1 Custom Shellcode Tool
Bunce, D. (2019, October 31). Building A Custom Tool For Shellcode Analysis. Retrieved October 4, 2021.
Open source URL - [3]Stuart ELF Memory
Stuart. (2018, March 31). In-Memory-Only ELF Execution (Without tmpfs). Retrieved October 4, 2021.
Open source URL - [4]00sec Droppers
0x00pico. (2017, September 25). Super-Stealthy Droppers. Retrieved October 4, 2021.
Open source URL - [5]Mandiant BYOL
Kirk, N. (2018, June 18). Bring Your Own Land (BYOL) – A Novel Red Teaming Technique. Retrieved October 4, 2021.
Open source URL - [6]Microsoft AssemblyLoad
Microsoft. (n.d.). Assembly.Load Method. Retrieved February 9, 2024.
Open source URL - [7]Intezer ACBackdoor
Sanmillan, I. (2019, November 18). ACBackdoor: Analysis of a New Multiplatform Backdoor. Retrieved October 4, 2021.
Open source URL - [8]S1 Old Rat New Tricks
Landry, J. (2016, April 21). Teaching an old RAT new tricks. Retrieved October 4, 2021.
Open source URL - [9]mitre-attackT1620Open 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.
