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MITRE ATT&CK® Technique

T1036: Masquerading

Adversaries may attempt to manipulate features of their artifacts to make them appear legitimate or benign to users and/or security tools. Masquerading occurs when the name or location of an object, legitimate or malicious, is manipulated or abused for the sake of evading defenses and observation. This may include manipulating file metadata, tricking users into misidentifying the file type, and giving legitimate task or service names.

Renaming abusable system utilities to evade security monitoring is also a form of Masquerading.[1]

EnterpriseT1036TechniqueObject v2.0Modified
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Glexia's Take · Automated analysis

Security context for executives and security teams

Automation confidenceHigh

Masquerading matters because it turns trust into a blind spot: files, services, utilities, accounts, process names, or browser attributes can be made to look normal enough that users, analysts, and security tools overlook them. For leaders, the risk is not just malware hiding under a fake name; it is delayed detection and slower incident response across Windows, macOS, Linux, ESXi, and container environments when teams rely too heavily on names, paths, icons, or superficial metadata.

Executive priority

Treat this as a control-validation issue for operational resilience and audit confidence. Ask whether security teams can prove that endpoint, server, container, and identity monitoring checks the relationship between what an object claims to be and what it actually is. Priority should go to environments where trusted utilities, scheduled tasks, services, account names, or common directories are heavily used for administration, because false trust in familiar names can weaken SOC triage and incident containment decisions.

Technical view

ATT&CK provides no official detection text for T1036, but the related detection strategy DET0127 points defenders toward behavioral detection based on metadata and execution discrepancies. SOC and detection engineering teams should validate detections across the supported platforms for mismatches such as suspicious file metadata, invalid or misleading code signatures, renamed legitimate utilities, task or service names that imitate expected ones, resource names or locations that approximate trusted assets, double extensions, altered file type indicators, broken process-tree context, masqueraded account names, overwritten Linux process arguments, and spoofed browser/system attributes where relevant.

Likely telemetry

  • Endpoint process creation events with image path, command line, parent process, process name, and hashes
  • File creation, rename, metadata, extension, header or file-type inspection, and directory path telemetry
  • Code-signing and signature-validation results where available
  • Scheduled task, service, and systemd unit creation or modification records
  • Account creation, rename, and privilege or lifecycle audit events for identity, Linux, container, and identity provider contexts

Detection direction

  • Validate that detections do not depend only on process or file names; compare names, paths, signatures, file headers, extensions, parent-child relationships, and execution behavior.
  • Tune for administrative false positives, especially renamed utilities, service naming conventions, systemd usage, and Unix process-tree changes that may also occur during legitimate operations.
  • Use the sub-technique context to build test cases across operating systems: invalid signatures, right-to-left override characters, double extensions, masqueraded file types, renamed utilities, task/service impersonation, account-name impersonation, and Linux argument overwrites.
  • Confirm platform coverage explicitly: Windows, macOS, Linux, ESXi, and Containers are listed for the parent technique, but individual sub-techniques vary by platform.
  • Correlate suspicious masquerading with account management, execution prevention, audit, antimalware, and endpoint behavior-prevention signals rather than treating a single misleading name as conclusive.

Mitigation priorities

  • Start with auditing: ensure logging captures file, process, service/task, account, and metadata details needed to distinguish legitimate objects from lookalikes.
  • Apply least privilege through user account management and restricted file and directory permissions to reduce opportunities to create or place misleading artifacts in trusted locations.
  • Use execution prevention and code-signing controls where appropriate so that trusted names alone are not enough for code to run.
  • Maintain antivirus/antimalware and endpoint behavior-prevention capabilities that evaluate behavior and integrity, not only filenames or paths.
  • Use user training for cases where masquerading targets human interpretation, such as misleading file names, extensions, icons, or apparent document types.
Additional notes and limits

The strongest defensive value comes from proving that local telemetry can expose discrepancies between claimed identity and actual behavior. The many sub-techniques show that masquerading is not one analytic; it is a family of lookalike behaviors spanning files, utilities, services, accounts, process metadata, and browser attributes. Campaign relationships show ATT&CK-documented use in multiple campaigns, but this take does not infer current activity or customer exposure.

The official ATT&CK object does not provide detection guidance for the parent technique, so detection recommendations are derived from the supplied description, sub-technique relationships, DET0127, supported platforms, and listed mitigations. Local operating procedures, administrative naming standards, and available logging will determine what is detectable and what is noise.

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

Official MITRE ATT&CK definition

Masquerading

Adversaries may attempt to manipulate features of their artifacts to make them appear legitimate or benign to users and/or security tools. Masquerading occurs when the name or location of an object, legitimate or malicious, is manipulated or abused for the sake of evading defenses and observation. This may include manipulating file metadata, tricking users into misidentifying the file type, and giving legitimate task or service names.

Renaming abusable system utilities to evade security monitoring is also a form of Masquerading.[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.

12 rows
DomainIDNameRelationship / procedure
EnterpriseT1036.008Masquerade File TypeSub-techniqueMasquerade File Type subtechnique of this object.
EnterpriseT1036.003Rename Legitimate UtilitiesSub-techniqueRename Legitimate Utilities subtechnique of this object.
EnterpriseT1036.006Space after FilenameSub-techniqueSpace after Filename subtechnique of this object.
EnterpriseT1036.004Masquerade Task or ServiceSub-techniqueMasquerade Task or Service subtechnique of this object.
EnterpriseT1036.002Right-to-Left OverrideSub-techniqueRight-to-Left Override subtechnique of this object.
EnterpriseT1036.005Match Legitimate Resource Name or LocationSub-techniqueMatch Legitimate Resource Name or Location subtechnique of this object.
EnterpriseT1036.011Overwrite Process ArgumentsSub-techniqueOverwrite Process Arguments subtechnique of this object.
EnterpriseT1036.007Double File ExtensionSub-techniqueDouble File Extension subtechnique of this object.
EnterpriseT1036.010Masquerade Account NameSub-techniqueMasquerade Account Name subtechnique of this object.
EnterpriseT1036.001Invalid Code SignatureSub-techniqueInvalid Code Signature subtechnique of this object.
EnterpriseT1036.012Browser FingerprintSub-techniqueBrowser Fingerprint subtechnique of this object.
EnterpriseT1036.009Break Process TreesSub-techniqueBreak Process Trees subtechnique of this object.
Associated objects

Groups, software, and campaigns

GroupEnterprise

G0045: menuPass

menuPass is a threat group that has been active since at least 2006. Individual members of menuPass are known to have acted in association with the Chinese Ministry of State Security's (MSS) Tianjin State Security Bureau and worked for the Huaying Haitai Science and Technology Development Company.[1][2]

menuPass has targeted healthcare, defense, aerospace, finance, maritime, biotechnology, energy, and government sectors globally, with an emphasis on Japanese organizations. In 2016 and 2017, the group is known to have targeted managed IT service providers (MSPs), manufacturing and mining companies, and a university.[3][4][5][6][7][1][2]

GroupEnterprise

G0050: APT32

APT32 is a suspected Vietnam-based threat group that has been active since at least 2014. The group has targeted multiple private sector industries as well as foreign governments, dissidents, and journalists with a strong focus on Southeast Asian countries like Vietnam, the Philippines, Laos, and Cambodia. They have extensively used strategic web compromises to compromise victims.[1][2][3]

GroupEnterprise

G0060: BRONZE BUTLER

BRONZE BUTLER is a cyber espionage group with likely Chinese origins that has been active since at least 2008. The group primarily targets Japanese organizations, particularly those in government, biotechnology, electronics manufacturing, and industrial chemistry.[1][2][3]

GroupEnterprise

G0049: OilRig

OilRig is a suspected Iranian threat group that has targeted Middle Eastern and international victims since at least 2014. The group has targeted a variety of sectors, including financial, government, energy, chemical, and telecommunications. It appears the group carries out supply chain attacks, leveraging the trust relationship between organizations to attack their primary targets. The group works on behalf of the Iranian government based on infrastructure details that contain references to Iran, use of Iranian infrastructure, and targeting that aligns with nation-state interests.[1][2][3][4][5][6][7]

GroupEnterprise

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]

GroupEnterprise

G0034: Sandworm Team

Sandworm Team is a destructive threat group that has been attributed to Russia's General Staff Main Intelligence Directorate (GRU) Main Center for Special Technologies (GTsST) military unit 74455.[1][2] This group has been active since at least 2009.[3][4][5][6]

In October 2020, the US indicted six GRU Unit 74455 officers associated with Sandworm Team for the following cyber operations: the 2015 and 2016 attacks against Ukrainian electrical companies and government organizations, the 2017 worldwide NotPetya attack, targeting of the 2017 French presidential campaign, the 2018 Olympic Destroyer attack against the Winter Olympic Games, the 2018 operation against the Organisation for the Prohibition of Chemical Weapons, and attacks against the country of Georgia in 2018 and 2019.[1][2] Some of these were conducted with the assistance of GRU Unit 26165, which is also referred to as APT28.[7]

GroupEnterprise

G0133: Nomadic Octopus

Nomadic Octopus is a Russian-speaking cyber espionage threat group that has primarily targeted Central Asia, including local governments, diplomatic missions, and individuals, since at least 2014. Nomadic Octopus has been observed conducting campaigns involving Android and Windows malware, mainly using the Delphi programming language, and building custom variants.[1][2][3]

GroupEnterprise

G1030: Agrius

Agrius is an Iranian threat actor active since 2020 notable for a series of ransomware and wiper operations in the Middle East, with an emphasis on Israeli targets.[1][2] Public reporting has linked Agrius to Iran's Ministry of Intelligence and Security (MOIS).[3]

GroupEnterprise

G1007: Aoqin Dragon

Aoqin Dragon is a suspected Chinese cyber espionage threat group that has been active since at least 2013. Aoqin Dragon has primarily targeted government, education, and telecommunication organizations in Australia, Cambodia, Hong Kong, Singapore, and Vietnam. Security researchers noted a potential association between Aoqin Dragon and UNC94, based on malware, infrastructure, and targets.[1]

GroupEnterprise

G0139: TeamTNT

TeamTNT is a threat group that has primarily targeted cloud and containerized environments. The group as been active since at least October 2019 and has mainly focused its efforts on leveraging cloud and container resources to deploy cryptocurrency miners in victim environments.[1][2][3][4][5][6][7][8][9]

MalwareEnterprise

S0453: Pony

Pony is a credential stealing malware, though has also been used among adversaries for its downloader capabilities. The source code for Pony Loader 1.0 and 2.0 were leaked online, leading to their use by various threat actors.[1]

Windows
MalwareEnterprise

S0658: XCSSET

XCSSET is a modular macOS malware family delivered through infected Xcode projects and executed when the project is compiled. Active since August 2020, it has been observed installing backdoors, spoofed browsers, collecting data, and encrypting user files. It is composed of SHC-compiled shell scripts and run-only AppleScripts, often hiding in apps that mimic system tools (such as Xcode, Mail, or Notes) or use familiar icons (like Launchpad) to avoid detection.[1][2][3]

macOS
MalwareEnterprise

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]

Windows
MalwareEnterprise

S9010: GlassWorm

GlassWorm is a worm that propagated through supply chain attacks by compromising repository credentials from victim environments and having malicious payloads added to those compromised accounts for distribution to victims across the various development ecosystems.[1][2][3] GlassWorm has numerous variants, including Rust binaries, encrypted JavaScript and a variant leveraging invisible Unicode characters that made reverse engineering difficult.[4][1][5] GlassWorm has employed a unique command and control (C2) methodology using Solana blockchain.[6][1] GlassWorm was first reported in October 2025.[6][1][3]

macOSWindows
MalwareEnterprise

S0661: FoggyWeb

FoggyWeb is a passive and highly-targeted backdoor capable of remotely exfiltrating sensitive information from a compromised Active Directory Federated Services (AD FS) server. It has been used by APT29 since at least early April 2021.[1]

Windows
MalwareEnterprise

S0696: Flagpro

Flagpro is a Windows-based, first-stage downloader that has been used by BlackTech since at least October 2020. It has primarily been used against defense, media, and communications companies in Japan.[1]

Windows
CampaignEnterprise

C0046: ArcaneDoor

ArcaneDoor is a campaign targeting networking devices from Cisco and other vendors between July 2023 and April 2024, primarily focused on government and critical infrastructure networks. ArcaneDoor is associated with the deployment of the custom backdoors Line Runner and Line Dancer. ArcaneDoor is attributed to a group referred to as UAT4356 or STORM-1849, and is assessed to be a state-sponsored campaign.[1][2]

CampaignEnterprise

C0059: Salesforce Data Exfiltration

The Salesforce Data Exfiltration campaign began in October 2024 with financially-motivated threat actor UNC6040 using Spearphishing Voice (vishing) to compromise corporate Salesforce instances for large-scale data theft and extortion. Following the initial data theft, victim organizations received extortion demands from a separate threat actor, UNC6240, who claimed to be the “ShinyHunters” group. The observed infrastructure and TTPs used during the Salesforce Data Exfiltration campaign overlap with those used by threat groups with suspected ties to the broader collective known as "The Com.” These overlaps could plausibly be the result of associated actors operating within the same communities and are not necessarily an indication of a direct operational relationship.[1][2]

CampaignEnterprise

C0035: KV Botnet Activity

KV Botnet Activity consisted of exploitation of primarily “end-of-life” small office-home office (SOHO) equipment from manufacturers such as Cisco, NETGEAR, and DrayTek. KV Botnet Activity was used by Volt Typhoon to obfuscate connectivity to victims in multiple critical infrastructure segments, including energy and telecommunication companies and entities based on the US territory of Guam. While the KV Botnet is the most prominent element of this campaign, it overlaps with another botnet cluster referred to as the JDY cluster.[1] This botnet was disrupted by US law enforcement entities in early 2024 after periods of activity from October 2022 through January 2024.[2]

CampaignEnterprise

C0016: Operation Dust Storm

Operation Dust Storm was a long-standing persistent cyber espionage campaign that targeted multiple industries in Japan, South Korea, the United States, Europe, and several Southeast Asian countries. By 2015, the Operation Dust Storm threat actors shifted from government and defense-related intelligence targets to Japanese companies or Japanese subdivisions of larger foreign organizations supporting Japan's critical infrastructure, including electricity generation, oil and natural gas, finance, transportation, and construction.[1]

Operation Dust Storm threat actors also began to use Android backdoors in their operations by 2015, with all identified victims at the time residing in Japan or South Korea.[1]

CampaignEnterprise

C0018: C0018

C0018 was a month-long ransomware intrusion that successfully deployed AvosLocker onto a compromised network. The unidentified actors gained initial access to the victim network through an exposed server and used a variety of open-source tools prior to executing AvosLocker.[1][2]

CampaignEnterprise

C0015: C0015

C0015 was a ransomware intrusion during which the unidentified attackers used Bazar, Cobalt Strike, and Conti, along with other tools, over a 5 day period. Security researchers assessed the actors likely used the widely-circulated Conti ransomware playbook based on the observed pattern of activity and operator errors.[1]

CampaignEnterprise

C0006: Operation Honeybee

Operation Honeybee was a campaign that targeted humanitarian aid and inter-Korean affairs organizations from at least late 2017 through early 2018. Operation Honeybee initially targeted South Korea, but expanded to include Vietnam, Singapore, Japan, Indonesia, Argentina, and Canada. Security researchers assessed the threat actors were likely Korean speakers based on metadata used in both lure documents and executables, and named the campaign "Honeybee" after the author name discovered in malicious Word documents.[1]

Relationship explorer

All related ATT&CK context

mitigates · MitigationM1047: AuditEnterprisesubtechnique of · TechniqueT1036.008: Masquerade File TypeEnterpriseuses · GroupG0045: menuPassEnterprisesubtechnique of · TechniqueT1036.003: Rename Legitimate UtilitiesEnterpriseuses · GroupG0050: APT32Enterprisesubtechnique of · TechniqueT1036.006: Space after FilenameEnterpriseuses · GroupG1052: Contagious InterviewEnterpriseuses · CampaignC0046: ArcaneDoorEnterpriseuses · MalwareS0453: PonyEnterprisemitigates · MitigationM1018: User Account ManagementEnterpriseuses · MalwareS0565: RaindropEnterprisemitigates · MitigationM1017: User TrainingEnterpriseuses · GroupG0060: BRONZE BUTLEREnterpriseuses · MalwareS0622: AppleSeedEnterpriseuses · GroupG0049: OilRigEnterpriseuses · GroupG1003: Ember BearEnterpriseuses · GroupG0034: Sandworm TeamEnterpriseuses · MalwareS1018: Saint BotEnterpriseuses · GroupG0133: Nomadic OctopusEnterprisesubtechnique of · TechniqueT1036.004: Masquerade Task or ServiceEnterpriseuses · CampaignC0059: Salesforce Data ExfiltrationEnterprisemitigates · MitigationM1045: Code SigningEnterpriseuses · MalwareS0658: XCSSETEnterprisemitigates · MitigationM1040: Behavior Prevention on EndpointEnterprise
Mitigations

Mitigation direction

MitigationEnterprise

M1047: Audit

Auditing is the process of recording activity and systematically reviewing and analyzing the activity and system configurations. The primary purpose of auditing is to detect anomalies and identify potential threats or weaknesses in the environment. Proper auditing configurations can also help to meet compliance requirements. The process of auditing encompasses regular analysis of user behaviors and system logs in support of proactive security measures.

Auditing is applicable to all systems used within an organization, from the front door of a building to accessing a file on a fileserver. It is considered more critical for regulated industries such as, healthcare, finance and government where compliance requirements demand stringent tracking of user and system activates.This mitigation can be implemented through the following measures:

System Audit:

- Use Case: Regularly assess system configurations to ensure compliance with organizational security policies. - Implementation: Use tools to scan for deviations from established benchmarks.

Permission Audits:

- Use Case: Review file and folder permissions to minimize the risk of unauthorized access or privilege escalation. - Implementation: Run access reviews to identify users or groups with excessive permissions.

Software Audits:

- Use Case: Identify outdated, unsupported, or insecure software that could serve as an attack vector. - Implementation: Use inventory and vulnerability scanning tools to detect outdated versions and recommend secure alternatives.

Configuration Audits:

- Use Case: Evaluate system and network configurations to ensure secure settings (e.g., disabled SMBv1, enabled MFA). - Implementation: Implement automated configuration scanning tools like SCAP (Security Content Automation Protocol) to identify non-compliant systems.

Network Audits:

- Use Case: Examine network traffic, firewall rules, and endpoint communications to identify unauthorized or insecure connections. - Implementation: Utilize tools such as Wireshark, or Zeek to monitor and log suspicious network behavior.

MitigationEnterprise

M1018: User Account Management

User Account Management involves implementing and enforcing policies for the lifecycle of user accounts, including creation, modification, and deactivation. Proper account management reduces the attack surface by limiting unauthorized access, managing account privileges, and ensuring accounts are used according to organizational policies. This mitigation can be implemented through the following measures:

Enforcing the Principle of Least Privilege

- Implementation: Assign users only the minimum permissions required to perform their job functions. Regularly audit accounts to ensure no excess permissions are granted. - Use Case: Reduces the risk of privilege escalation by ensuring accounts cannot perform unauthorized actions.

Implementing Strong Password Policies

- Implementation: Enforce password complexity requirements (e.g., length, character types). Require password expiration every 90 days and disallow password reuse. - Use Case: Prevents adversaries from gaining unauthorized access through password guessing or brute force attacks.

Managing Dormant and Orphaned Accounts

- Implementation: Implement automated workflows to disable accounts after a set period of inactivity (e.g., 30 days). Remove orphaned accounts (e.g., accounts without an assigned owner) during regular account audits. - Use Case: Eliminates dormant accounts that could be exploited by attackers.

Account Lockout Policies

- Implementation: Configure account lockout thresholds (e.g., lock accounts after five failed login attempts). Set lockout durations to a minimum of 15 minutes. - Use Case: Mitigates automated attack techniques that rely on repeated login attempts.

Multi-Factor Authentication (MFA) for High-Risk Accounts

- Implementation: Require MFA for all administrative accounts and high-risk users. Use MFA mechanisms like hardware tokens, authenticator apps, or biometrics. - Use Case: Prevents unauthorized access, even if credentials are stolen.

Restricting Interactive Logins

- Implementation: Restrict interactive logins for privileged accounts to specific secure systems or management consoles. Use group policies to enforce logon restrictions. - Use Case: Protects sensitive accounts from misuse or exploitation.

*Tools for Implementation*

Built-in Tools:

- Microsoft Active Directory (AD): Centralized account management and RBAC enforcement. - Group Policy Object (GPO): Enforce password policies, logon restrictions, and account lockout policies.

Identity and Access Management (IAM) Tools:

- Okta: Centralized user provisioning, MFA, and SSO integration. - Microsoft Azure Active Directory: Provides advanced account lifecycle management, role-based access, and conditional access policies.

Privileged Account Management (PAM): - CyberArk, BeyondTrust, Thycotic: Manage and monitor privileged account usage, enforce session recording, and JIT access.

MitigationEnterprise

M1017: User Training

User Training involves educating employees and contractors on recognizing, reporting, and preventing cyber threats that rely on human interaction, such as phishing, social engineering, and other manipulative techniques. Comprehensive training programs create a human firewall by empowering users to be an active component of the organization's cybersecurity defenses. This mitigation can be implemented through the following measures:

Create Comprehensive Training Programs:

- Design training modules tailored to the organization's risk profile, covering topics such as phishing, password management, and incident reporting. - Provide role-specific training for high-risk employees, such as helpdesk staff or executives.

Use Simulated Exercises:

- Conduct phishing simulations to measure user susceptibility and provide targeted follow-up training. - Run social engineering drills to evaluate employee responses and reinforce protocols.

Leverage Gamification and Engagement:

- Introduce interactive learning methods such as quizzes, gamified challenges, and rewards for successful detection and reporting of threats.

Incorporate Security Policies into Onboarding:

- Include cybersecurity training as part of the onboarding process for new employees. - Provide easy-to-understand materials outlining acceptable use policies and reporting procedures.

Regular Refresher Courses:

- Update training materials to include emerging threats and techniques used by adversaries. - Ensure all employees complete periodic refresher courses to stay informed.

Emphasize Real-World Scenarios:

- Use case studies of recent attacks to demonstrate the consequences of successful phishing or social engineering. - Discuss how specific employee actions can prevent or mitigate such attacks.

MitigationEnterprise

M1045: Code Signing

Code Signing is a security process that ensures the authenticity and integrity of software by digitally signing executables, scripts, and other code artifacts. It prevents untrusted or malicious code from executing by verifying the digital signatures against trusted sources. Code signing protects against tampering, impersonation, and distribution of unauthorized or malicious software, forming a critical defense against supply chain and software exploitation attacks. This mitigation can be implemented through the following measures:

Enforce Signed Code Execution:

- Implementation: Configure operating systems (e.g., Windows with AppLocker or Linux with Secure Boot) to allow only signed code to execute. - Use Case: Prevent the execution of malicious PowerShell scripts by requiring all scripts to be signed with a trusted certificate.

Vendor-Signed Driver Enforcement:

- Implementation: Enable kernel-mode code signing to ensure that only drivers signed by trusted vendors can be loaded. - Use Case: A malicious driver attempting to modify system memory fails to load because it lacks a valid signature.

Certificate Revocation Management:

- Implementation: Use Online Certificate Status Protocol (OCSP) or Certificate Revocation Lists (CRLs) to block certificates associated with compromised or deprecated code. - Use Case: A compromised certificate used to sign a malicious update is revoked, preventing further execution of the software.

Third-Party Software Verification:

- Implementation: Require software from external vendors to be signed with valid certificates before deployment. - Use Case: An organization only deploys signed and verified third-party software to prevent supply chain attacks.

Script Integrity in CI/CD Pipelines:

- Implementation: Integrate code signing into CI/CD pipelines to sign and verify code artifacts before production release. - Use Case: A software company ensures that all production builds are signed, preventing tampered builds from reaching customers.

**Key Components of Code Signing**

- Digital Signature Verification: Verifies the authenticity of code by ensuring it was signed by a trusted entity. - Certificate Management: Uses Public Key Infrastructure (PKI) to manage signing certificates and revocation lists. - Enforced Policy for Unsigned Code: Prevents the execution of unsigned or untrusted binaries and scripts. - Hash Integrity Check: Confirms that code has not been altered since signing by comparing cryptographic hashes.

MitigationEnterprise

M1040: Behavior Prevention on Endpoint

Behavior Prevention on Endpoint refers to the use of technologies and strategies to detect and block potentially malicious activities by analyzing the behavior of processes, files, API calls, and other endpoint events. Rather than relying solely on known signatures, this approach leverages heuristics, machine learning, and real-time monitoring to identify anomalous patterns indicative of an attack. This mitigation can be implemented through the following measures:

Suspicious Process Behavior:

- Implementation: Use Endpoint Detection and Response (EDR) tools to monitor and block processes exhibiting unusual behavior, such as privilege escalation attempts. - Use Case: An attacker uses a known vulnerability to spawn a privileged process from a user-level application. The endpoint tool detects the abnormal parent-child process relationship and blocks the action.

Unauthorized File Access:

- Implementation: Leverage Data Loss Prevention (DLP) or endpoint tools to block processes attempting to access sensitive files without proper authorization. - Use Case: A process tries to read or modify a sensitive file located in a restricted directory, such as /etc/shadow on Linux or the SAM registry hive on Windows. The endpoint tool identifies this anomalous behavior and prevents it.

Abnormal API Calls:

- Implementation: Implement runtime analysis tools to monitor API calls and block those associated with malicious activities. - Use Case: A process dynamically injects itself into another process to hijack its execution. The endpoint detects the abnormal use of APIs like `OpenProcess` and `WriteProcessMemory` and terminates the offending process.

Exploit Prevention:

- Implementation: Use behavioral exploit prevention tools to detect and block exploits attempting to gain unauthorized access. - Use Case: A buffer overflow exploit is launched against a vulnerable application. The endpoint detects the anomalous memory write operation and halts the process.

MitigationEnterprise

M1022: Restrict File and Directory Permissions

Restricting file and directory permissions involves setting access controls at the file system level to limit which users, groups, or processes can read, write, or execute files. By configuring permissions appropriately, organizations can reduce the attack surface for adversaries seeking to access sensitive data, plant malicious code, or tamper with system files.

Enforce Least Privilege Permissions:

- Remove unnecessary write permissions on sensitive files and directories. - Use file ownership and groups to control access for specific roles.

Example (Windows): Right-click the shared folder → Properties → Security tab → Adjust permissions for NTFS ACLs.

Harden File Shares:

- Disable anonymous access to shared folders. - Enforce NTFS permissions for shared folders on Windows.

Example: Set permissions to restrict write access to critical files, such as system executables (e.g., `/bin` or `/sbin` on Linux). Use tools like `chown` and `chmod` to assign file ownership and limit access.

On Linux, apply: `chmod 750 /etc/sensitive.conf` `chown root:admin /etc/sensitive.conf`

File Integrity Monitoring (FIM):

- Use tools like Tripwire, Wazuh, or OSSEC to monitor changes to critical file permissions.

Audit File System Access:

- Enable auditing to track permission changes or unauthorized access attempts. - Use auditd (Linux) or Event Viewer (Windows) to log activities.

Restrict Startup Directories:

- Configure permissions to prevent unauthorized writes to directories like `C:\ProgramData\Microsoft\Windows\Start Menu`.

Example: Restrict write access to critical directories like `/etc/`, `/usr/local/`, and Windows directories such as `C:\Windows\System32`.

- On Windows, use icacls to modify permissions: `icacls "C:\Windows\System32" /inheritance:r /grant:r SYSTEM:(OI)(CI)F` - On Linux, monitor permissions using tools like `lsattr` or `auditd`.

MitigationEnterprise

M1049: Antivirus/Antimalware

Antivirus/Antimalware solutions utilize signatures, heuristics, and behavioral analysis to detect, block, and remediate malicious software, including viruses, trojans, ransomware, and spyware. These solutions continuously monitor endpoints and systems for known malicious patterns and suspicious behaviors that indicate compromise. Antivirus/Antimalware software should be deployed across all devices, with automated updates to ensure protection against the latest threats. This mitigation can be implemented through the following measures:

Signature-Based Detection:

- Implementation: Use predefined signatures to identify known malware based on unique patterns such as file hashes, byte sequences, or command-line arguments. This method is effective against known threats. - Use Case: When malware like "Emotet" is detected, its signature (such as a specific file hash) matches a known database of malicious software, triggering an alert and allowing immediate quarantine of the infected file.

Heuristic-Based Detection:

- Implementation: Deploy heuristic algorithms that analyze behavior and characteristics of files and processes to identify potential malware, even if it doesn’t match a known signature. - Use Case: If a program attempts to modify multiple critical system files or initiate suspicious network communications, heuristic analysis may flag it as potentially malicious, even if no specific malware signature is available.

Behavioral Detection (Behavior Prevention):

- Implementation: Use behavioral analysis to detect patterns of abnormal activities, such as unusual system calls, unauthorized file encryption, or attempts to escalate privileges. - Use Case: Behavioral analysis can detect ransomware attacks early by identifying behavior like mass file encryption, even before a specific ransomware signature has been identified.

Real-Time Scanning:

- Implementation: Enable real-time scanning to automatically inspect files and network traffic for signs of malware as they are accessed, downloaded, or executed. - Use Case: When a user downloads an email attachment, the antivirus solution scans the file in real-time, checking it against both signatures and heuristics to detect any malicious content before it can be opened.

Cloud-Assisted Threat Intelligence:

- Implementation: Use cloud-based threat intelligence to ensure the antivirus solution can access the latest malware definitions and real-time threat feeds from a global database of emerging threats. - Use Case: Cloud-assisted antivirus solutions quickly identify newly discovered malware by cross-referencing against global threat databases, providing real-time protection against zero-day attacks.

**Tools for Implementation**:

- Endpoint Security Platforms: Use solutions such as EDR for comprehensive antivirus/antimalware protection across all systems. - Centralized Management: Implement centralized antivirus management consoles that provide visibility into threat activity, enable policy enforcement, and automate updates. - Behavioral Analysis Tools: Leverage solutions with advanced behavioral analysis capabilities to detect malicious activity patterns that don’t rely on known signatures.

MitigationEnterprise

M1038: Execution Prevention

Prevent the execution of unauthorized or malicious code on systems by implementing application control, script blocking, and other execution prevention mechanisms. This ensures that only trusted and authorized code is executed, reducing the risk of malware and unauthorized actions. This mitigation can be implemented through the following measures:

Application Control:

- Use Case: Use tools like AppLocker or Windows Defender Application Control (WDAC) to create whitelists of authorized applications and block unauthorized ones. On Linux, use tools like SELinux or AppArmor to define mandatory access control policies for application execution. - Implementation: Allow only digitally signed or pre-approved applications to execute on servers and endpoints. (e.g., `New-AppLockerPolicy -PolicyType Enforced -FilePath "C:\Policies\AppLocker.xml"`)

Script Blocking:

- Use Case: Use script control mechanisms to block unauthorized execution of scripts, such as PowerShell or JavaScript. Web Browsers: Use browser extensions or settings to block JavaScript execution from untrusted sources. - Implementation: Configure PowerShell to enforce Constrained Language Mode for non-administrator users. (e.g., `Set-ExecutionPolicy AllSigned`)

Executable Blocking:

- Use Case: Prevent execution of binaries from suspicious locations, such as `%TEMP%` or `%APPDATA%` directories. - Implementation: Block execution of `.exe`, `.bat`, or `.ps1` files from user-writable directories.

Dynamic Analysis Prevention: - Use Case: Use behavior-based execution prevention tools to identify and block malicious activity in real time. - Implemenation: Employ EDR solutions that analyze runtime behavior and block suspicious code execution.

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
1b2cc66eb4ea4e68...
Imported snapshots across ATT&CK releases(1)
ReleaseBundle importedObject versionModifiedStatusRaw hash
19.12.0Current bundle1b2cc66eb4ea…
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.

Open mirrored raw JSONOpen MITRE-hosted copy
Source references

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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