T1497: Virtualization/Sandbox Evasion
Adversaries may employ various means to detect and avoid virtualization and analysis environments. This may include changing behaviors based on the results of checks for the presence of artifacts indicative of a virtual machine environment (VME) or sandbox. If the adversary detects a VME, they may alter their malware to disengage from the victim or conceal the core functions of the implant. They may also search for VME artifacts before dropping secondary or additional payloads. Adversaries may use the information learned from Virtualization/Sandbox Evasion during automated discovery to shape follow-on behaviors.[1]
Adversaries may use several methods to accomplish Virtualization/Sandbox Evasion such as checking for security monitoring tools (e.g., Sysinternals, Wireshark, etc.) or other system artifacts associated with analysis or virtualization. Adversaries may also check for legitimate user activity to help determine if it is in an analysis environment. Additional methods include use of sleep timers or loops within malware code to avoid operating within a temporary sandbox.[2]
Security context for executives and security teams
T1497: Virtualization/Sandbox Evasion describes Adversaries may employ various means to detect and avoid virtualization and analysis environments. This may include changing behaviors based on the results of checks for the presence of artifacts indicative of a virtual machine environment (VME) or sandbox. If the adversary detects a VME, they may alter their malware to disengage from the victim or conceal the core functions of the implant. They may also search for VME artifacts before dropping secondary or additional payloads. Adversaries may use the information l...
Executive priority
T1497: Virtualization/Sandbox Evasion 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 T1497: Virtualization/Sandbox Evasion by reviewing the official ATT&CK relationships, mapped tactics (stealth, discovery), supported platforms (Linux, macOS, Windows), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Endpoint process, command-line, and script execution logs
- Network, endpoint, and security-tool telemetry
Detection direction
- Validate whether T1497: Virtualization/Sandbox Evasion 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.
Virtualization/Sandbox Evasion
Adversaries may employ various means to detect and avoid virtualization and analysis environments. This may include changing behaviors based on the results of checks for the presence of artifacts indicative of a virtual machine environment (VME) or sandbox. If the adversary detects a VME, they may alter their malware to disengage from the victim or conceal the core functions of the implant. They may also search for VME artifacts before dropping secondary or additional payloads. Adversaries may use the information learned from Virtualization/Sandbox Evasion during automated discovery to shape follow-on behaviors.[1]
Adversaries may use several methods to accomplish Virtualization/Sandbox Evasion such as checking for security monitoring tools (e.g., Sysinternals, Wireshark, etc.) or other system artifacts associated with analysis or virtualization. Adversaries may also check for legitimate user activity to help determine if it is in an analysis environment. Additional methods include use of sleep timers or loops within malware code to avoid operating within a temporary sandbox.[2]
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.
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.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1497.001 | System ChecksSub-technique | System Checks subtechnique of this object. |
| Enterprise | T1497.003 | Time Based ChecksSub-technique | Time Based Checks subtechnique of this object. |
| Enterprise | T1497.002 | User Activity Based ChecksSub-technique | User Activity Based Checks subtechnique of this object. |
Groups, software, and campaigns
G1052: Contagious Interview
Contagious Interview is a North Korea–aligned threat group active since 2023. The group conducts both cyberespionage and financially motivated operations, including the theft of cryptocurrency and user credentials. Contagious Interview targets Windows, Linux, and macOS systems, with a particular focus on individuals engaged in software development and cryptocurrency-related activities. [1][2][3][4][5][6][7][8]
G1031: Saint Bear
Saint Bear is a Russian-nexus threat actor active since early 2021, primarily targeting entities in Ukraine and Georgia. The group is notable for a specific remote access tool, Saint Bot, and information stealer, OutSteel in campaigns. Saint Bear typically relies on phishing or web staging of malicious documents and related file types for initial access, spoofing government or related entities.[1][2] Saint Bear has previously been confused with Ember Bear operations, but analysis of behaviors, tools, and targeting indicates these are distinct clusters.
G0012: Darkhotel
Darkhotel is a suspected South Korean threat group that has targeted victims primarily in East Asia since at least 2004. The group's name is based on cyber espionage operations conducted via hotel Internet networks against traveling executives and other select guests. Darkhotel has also conducted spearphishing campaigns and infected victims through peer-to-peer and file sharing networks.[1][2][3]
S1039: Bumblebee
Bumblebee is a custom loader written in C++ that has been used by multiple threat actors, including possible initial access brokers, to download and execute additional payloads since at least March 2022. Bumblebee has been linked to ransomware operations including Conti, Quantum, and Mountlocker and derived its name from the appearance of "bumblebee" in the user-agent.[1][2][3]
S1030: Squirrelwaffle
Squirrelwaffle is a loader that was first seen in September 2021. It has been used in spam email campaigns to deliver additional malware such as Cobalt Strike and the QakBot banking trojan.[1][2]
S1130: Raspberry Robin
Raspberry Robin is initial access malware first identified in September 2021, and active through early 2024. The malware is notable for spreading via infected USB devices containing a malicious LNK object that, on execution, retrieves remote hosted payloads for installation. Raspberry Robin has been widely used against various industries and geographies, and as a precursor to information stealer, ransomware, and other payloads such as SocGholish, Cobalt Strike, IcedID, and Bumblebee.[1][2][3] The DLL componenet in the Raspberry Robin infection chain is also referred to as "Roshtyak."[4] The name "Raspberry Robin" is used to refer to both the malware as well as the threat actor associated with its use, although the Raspberry Robin operators are also tracked as Storm-0856 by some vendors.[5]
S0483: IcedID
S0147: Pteranodon
Pteranodon is a custom backdoor used by Gamaredon Group. [1]
S0268: Bisonal
Bisonal is a remote access tool (RAT) that has been used by Tonto Team against public and private sector organizations in Russia, South Korea, and Japan since at least December 2010.[1][2]
S0455: Metamorfo
S1240: RedLine Stealer
RedLine Stealer is an information-stealer malware variant first identified in 2020.[1][2][3] RedLine Stealer is a Malware as a Service (MaaS) and was reportedly sold as either a one-time purchase or a monthly subscription service.[1][4] Information obtained from RedLine Stealer has been known to be sold on the deep and dark web to Initial Access Brokers (IABs), who use or resell the stolen credentials for further intrusions.[5][4]
S1070: Black Basta
Black Basta is ransomware written in C++ that has been offered within the ransomware-as-a-service (RaaS) model since at least April 2022; there are variants that target Windows and VMWare ESXi servers. Black Basta operations have included the double extortion technique where in addition to demanding ransom for decrypting the files of targeted organizations the cyber actors also threaten to post sensitive information to a leak site if the ransom is not paid. Black Basta affiliates have targeted multiple high-value organizations, with the largest number of victims based in the U.S. Based on similarities in TTPs, leak sites, payment sites, and negotiation tactics, security researchers assess the Black Basta RaaS operators could include current or former members of the Conti group.[1][2][3][4][5][6]
S0380: StoneDrill
StoneDrill is wiper malware discovered in destructive campaigns against both Middle Eastern and European targets in association with APT33.[1][2]
S0148: RTM
S1183: StrelaStealer
StrelaStealer is an information stealer malware variant first identified in November 2022 and active through late 2024. StrelaStealer focuses on the automated identification, collection, and exfiltration of email credentials from email clients such as Outlook and Thunderbird.[1][2][3][4]
C0005: Operation Spalax
Operation Spalax was a campaign that primarily targeted Colombian government organizations and private companies, particularly those associated with the energy and metallurgical industries. The Operation Spalax threat actors distributed commodity malware and tools using generic phishing topics related to COVID-19, banking, and law enforcement action. Security researchers noted indicators of compromise and some infrastructure overlaps with other campaigns dating back to April 2018, including at least one separately attributed to APT-C-36, however identified enough differences to report this as separate, unattributed activity.[1]
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 | eac26eb9c8d2… | ||
| 19.1 | 2.0 | Older bundle | eac26eb9c8d2… |
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]Deloitte Environment Awareness
Torello, A. & Guibernau, F. (n.d.). Environment Awareness. Retrieved September 13, 2024.
Open source URL - [2]Unit 42 Pirpi July 2015
Falcone, R., Wartell, R.. (2015, July 27). UPS: Observations on CVE-2015-3113, Prior Zero-Days and the Pirpi Payload. Retrieved April 23, 2019.
Open source URL - [3]mitre-attackT1497Open 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.
