T1683.002: Audio-Visual Content
Adversaries may create or manipulate audio, image, and video content to support targeting and malicious operations. Adversaries may also use synthetic voice recordings, real-time altered audio or video during live interactions, fabricated profile photos and identity documents, or video content depicting fabricated or impersonated individuals.[1]
Content may be produced manually through editing tools, generated using AI-assisted tools, or produced using third-party synthetic services.[2][3] AI-assisted tools have enabled adversaries to produce synthetic media at scale and generate content that is more difficult to identify as inauthentic.
Audio-visual content produced through these methods may be used in support of other techniques, such as Phishing, Spearphishing via Service, Phishing for Information, Internal Spearphishing, Social Engineering, Financial Theft, or Establish Accounts.
Security context for executives and security teams
T1683.002: Audio-Visual Content describes Adversaries may create or manipulate audio, image, and video content to support targeting and malicious operations. Adversaries may also use synthetic voice recordings, real-time altered audio or video during live interactions, fabricated profile photos and identity documents, or video content depicting fabricated or impersonated individuals.(Citation: Nov AI Threat Tracker) Content may be produced manually through editing tools, generated using AI-assisted tools, or produced using third-party synthetic services.(C...
Executive priority
T1683.002: Audio-Visual Content 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 T1683.002: Audio-Visual Content by reviewing the official ATT&CK relationships, mapped tactics (resource-development), supported platforms (PRE), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
Detection direction
- Validate whether T1683.002: Audio-Visual Content 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.
Audio-Visual Content
Adversaries may create or manipulate audio, image, and video content to support targeting and malicious operations. Adversaries may also use synthetic voice recordings, real-time altered audio or video during live interactions, fabricated profile photos and identity documents, or video content depicting fabricated or impersonated individuals.[1]
Content may be produced manually through editing tools, generated using AI-assisted tools, or produced using third-party synthetic services.[2][3] AI-assisted tools have enabled adversaries to produce synthetic media at scale and generate content that is more difficult to identify as inauthentic.
Audio-visual content produced through these methods may be used in support of other techniques, such as Phishing, Spearphishing via Service, Phishing for Information, Internal Spearphishing, Social Engineering, Financial Theft, or Establish Accounts.
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 | T1683 | Generate Content | This object subtechnique of Generate Content. |
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]
G0099: APT-C-36
APT-C-36 is a suspected South American threat group that has engaged in espionage and financially motivated operations since at least 2018. APT-C-36 has targeted government institutions and entities in the financial, energy, and professional manufacturing sectors across Colombia and other Latin American countries.[1][2][3][4]
All related ATT&CK context
Mitigation direction
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 | 1.0 | Current bundle | 909a2f285f3e… | ||
| 19.1 | 1.0 | Older bundle | 909a2f285f3e… |
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]Nov AI Threat Tracker
Google Threat Intelligence Group. (2025, November 5). GTIG AI Threat Tracker: Advances in Threat Actor Usage of AI Tools. Retrieved March 31, 2026.
Open source URL - [2]FBI 2025 AI Generate Content
Internet Crime Complaint Center, FBI. (2025). Federal Bureau of Investigation Internet Crime Report, 2025. Retrieved April 17, 2026.
Open source URL - [3]Europol Deepfakes
Europol. (2022). FACING REALITY? LAW ENFORCEMENT AND THE CHALLENGE OF DEEPFAKES. Retrieved April 17, 2026.
Open source URL - [4]mitre-attackT1683.002Open 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.