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MITRE ATT&CK® Technique

T1684: Social Engineering

Adversaries may use social engineering techniques to influence users to take actions that result in unauthorized access, approval of changes, disclosure of sensitive information, or execution of adversary-supplied instructions (i.e., introduction of malicious payloads or software), while minimizing technical indicators.

Adversaries may leverage trust-building methods across multiple channels (e.g., executive, vendor, or help desk scenarios, including AI-enabled voice interactions) to prompt user-authorized actions such as password resets, MFA changes, financial approvals, or the disclosure of sensitive information. Adversaries may also leverage common business communications and workflows such as email, collaboration platforms, voice communications, recruiting processes, help desk interactions, and SaaS consent mechanisms to make malicious requests appear routine and legitimate.[1][2][3]

Additionally, adversaries have persuaded victims to take actions through references of current events, harnessing relevant themes to the work role or the organizations mission. For example, adversaries may use scare tactics (i.e., threaten repercussions for non-compliance) or otherwise incite victims’ emotions in order to generate a sense of urgency to take action.[4][5]

This technique may include common social engineering patterns such as Phishing and Spearphishing Voice, often supported by convincing and targeted narratives.[2][6]

EnterpriseT1684TechniqueObject v1.0Modified
Glexia's Take · Automated analysis

Security context for executives and security teams

Automation confidenceMedium

T1684: Social Engineering describes Adversaries may use social engineering techniques to influence users to take actions that result in unauthorized access, approval of changes, disclosure of sensitive information, or execution of adversary-supplied instructions (i.e., introduction of malicious payloads or software), while minimizing technical indicators. Adversaries may leverage trust-building methods across multiple channels (e.g., executive, vendor, or help desk scenarios, including AI-enabled voice interactions) to prompt user-authorized actions ...

Executive priority

T1684: Social Engineering 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 T1684: Social Engineering by reviewing the official ATT&CK relationships, mapped tactics (stealth), supported platforms (Linux, macOS, Office Suite, SaaS), 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 T1684: Social Engineering 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.

Official MITRE ATT&CK definition

Social Engineering

Adversaries may use social engineering techniques to influence users to take actions that result in unauthorized access, approval of changes, disclosure of sensitive information, or execution of adversary-supplied instructions (i.e., introduction of malicious payloads or software), while minimizing technical indicators.

Adversaries may leverage trust-building methods across multiple channels (e.g., executive, vendor, or help desk scenarios, including AI-enabled voice interactions) to prompt user-authorized actions such as password resets, MFA changes, financial approvals, or the disclosure of sensitive information. Adversaries may also leverage common business communications and workflows such as email, collaboration platforms, voice communications, recruiting processes, help desk interactions, and SaaS consent mechanisms to make malicious requests appear routine and legitimate.[1][2][3]

Additionally, adversaries have persuaded victims to take actions through references of current events, harnessing relevant themes to the work role or the organizations mission. For example, adversaries may use scare tactics (i.e., threaten repercussions for non-compliance) or otherwise incite victims’ emotions in order to generate a sense of urgency to take action.[4][5]

This technique may include common social engineering patterns such as Phishing and Spearphishing Voice, often supported by convincing and targeted narratives.[2][6]

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.

2 rows
DomainIDNameRelationship / procedure
EnterpriseT1684.001ImpersonationSub-techniqueImpersonation subtechnique of this object.
EnterpriseT1684.002Email SpoofingSub-techniqueEmail Spoofing subtechnique of this object.
Associated objects

Groups, software, and campaigns

GroupEnterprise

G1057: ShinyHunters

ShinyHunters is a cyber criminal collective that has been active since at least 2019 operating under the ShinyCorp persona. ShinyHunters has targeted multiple industries and geographic regions gathering legitimate credentials and personally identifiable information (PII) for resale or extortion of victims. ShinyHunters has been associated with the broader collective called The Community, also known as The Com whose members have also included Scattered Spider and LAPSUS$. Public reporting has mentioned a variety of names for operations ShinyHunters members have reportedly conducted with members of other groups, including “Scattered Lapsus Hunters,” “Scattered Lapsus Shiny Hunters,” and “SLSH.”[1][2][3][4][5][6][7][8]

Relationship explorer

All related ATT&CK context

Mitigations

Mitigation direction

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
19.2
Object version
1.0
Created
Modified
Raw hash
5e828e23781ecbdd...
Imported snapshots across ATT&CK releases(2)
ReleaseBundle importedObject versionModifiedStatusRaw hash
19.21.0Current bundle5e828e23781e…
19.11.0Older bundle5e828e23781e…
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]
    Proofpoint TA427 April 2024

    Lesnewich, G. et al. (2024, April 16). From Social Engineering to DMARC Abuse: TA427’s Art of Information Gathering. Retrieved May 3, 2024.

    Open source URL
  2. [2]
    SE SentinelOne 2

    SentinelOne. (2025, August 19). 15 Types of Social Engineering Attacks. Retrieved April 15, 2026.

    Open source URL
  3. [3]
    SE - Hackers Target Workday

    David Jones. (2025, August 19). Hackers target Workday in social engineering attack. Retrieved April 15, 2026.

    Open source URL
  4. [4]
    SE Proofpoint

    Proofpoint. (n.d.). What Is Social Engineering?. Retrieved April 15, 2026.

    Open source URL
  5. [5]
    SE SentinelOne

    SentinelOne. (2023, October 19). Social Engineering Attacks | How to Recognize and Resist The Bait. Retrieved April 15, 2026.

    Open source URL
  6. [6]
    Fortinet Trends 25-26

    Fortinet. (n.d.). Recent Cyber Attacks & Emerging Cybersecurity Trends. Retrieved April 15, 2026.

    Open source URL
  7. [7]
    mitre-attackT1684
    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.