Techniqueai-attack-stagingATLAS

AML.T0088Generate Deepfakes

What it is

Adversaries may use generative artificial intelligence (GenAI) to create synthetic media (i.e. imagery, video, audio, and text) that appear authentic. These "[deepfakes]( https://en.wikipedia.org/wiki/Deepfake)" may mimic a real person or depict fictional personas. Adversaries may use deepfakes for impersonation to conduct [Phishing](/techniques/AML.T0052) or to evade AI applications such as biometric identity verification systems (see [Evade AI Model](/techniques/AML.T0015)). Manipulation of media has been possible for a long time, however GenAI reduces the skill and level of effort required, allowing adversaries to rapidly scale operations to target more users or systems. It also makes real-time manipulations feasible. Adversaries may utilize open-source models and software that were designed for legitimate use cases to generate deepfakes for malicious use. However, there are some projects specifically tailored towards malicious use cases such as [ProKYC](https://www.catonetworks.com/blog/prokyc-selling-deepfake-tool-for-account-fraud-attacks/).

References

  1. https://atlas.mitre.org/techniques/AML.T0088

Related by meaning· 6

Nearest entities by semantic similarity across the cs-graph corpus.

ATLAS
Evade AI Model
ATLAS
Phishing
ATLAS mitigation
Deepfake Detection
ATLAS
Impersonation
ATLAS
Gather Victim Identity Information
ATLAS
LLM Prompt Crafting
Sourced from MITRE ATLAS — Adversarial Threat Landscape for AI Systems. Curated by Adam Lundqvist, SQUR.