Loading AttackTrace...
Loading AttackTrace...
Social Engineering (T1684) is a MITRE ATT&CK technique associated with Stealth . 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 a…
Social Engineering (T1684) is a MITRE ATT&CK technique associated with Stealth. 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.
Attackers use Social Engineering because it provides a reliable way to advance their objective within the Stealth tactic, often with a favorable balance of impact versus detectability on Linux, macOS, Office Suite, SaaS, Windows environments. Defenders should assess this behavior in the context of the affected platform and adjacent activity rather than treating it as a standalone indicator.
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.(Citation: Proofpoint TA427 April 2024)(Citation: SE SentinelOne 2)(Citation: SE - Hackers Target Workday)
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.(Citation: SE Proofpoint)(Citation: SE SentinelOne)
This technique may include common social engineering patterns such as Phishing and Spearphishing Voice, often supported by convincing and targeted narratives.(Citation: SE SentinelOne 2)(Citation: Fortinet Trends 25-26)
No universal command represents Social Engineering. Capture the exact command line, arguments, parent process, account, host, and execution time from the investigated environment; do not operationalize unverified examples.
| Event ID | Log Channel | What It Indicates |
|---|---|---|
| Environment-specific | Relevant Windows channel(s) | Correlate authentication, process, object-access, and configuration events with the observed execution context. |
| Sysmon Event ID | Name | Why It's Relevant Here |
|---|---|---|
| Environment-specific | Validate configured telemetry | Use process, network, file, registry, DNS, or image-load telemetry only when relevant and enabled. |
No MITRE detection guidance published for this technique.
Relevant ATT&CK Data Sources: N/A
A universal Sigma rule would create unreliable results because this technique has no single guaranteed observable. Build detection logic from a documented behavior and supported data source, scope it to the affected platform, and validate it against benign administrative activity before deployment.
Start with the data sources named in the detection section. Scope searches by asset, identity, and time window; correlate the primary behavior with preceding access and subsequent actions. A portable query is intentionally not provided where the technique lacks a universal schema or observable.