Summary Threat Type Vulnerabilities Surface Matrix Motivations Kill Chain Recommendations Appendix
Print Report

Deepfake Chinese female offering investment advice

Submitted File

A Chinese female sitting in a sparse office setting speaks to the target audience in Chinese, offering stock market and financial investment encouragement. In particular, the tone and is persuasive, encouraging the target audience to invest in high-dividend EFTs.

Threat Level

Low

Moderate

Elevated

High


Authenticity Spectrum

Real

Suspicious

Likely Fake

Fake



Deepfake Attack Profile

Credibility

Moderate

The more synthetic media is perceived to be legitimate and authoritative, the content is more likely to be trusted, persuasive, and acted upon.

Interactivity

Low

Synthetic media can range from non-interactive, not ongoing, or not consistent (low) to interactive, ongoing, and consistent (high).

Familiarity

Low

Synthetic media can range from very recognizable and familiar (high) or hardly (or not) recognizable and familiar (low).

Evocation

Moderate

Synthetic media can range from evoking a significant affective response (high) to barely or not at all eliciting an affective reaction.

Distribution

Unknown

Synthetic media can range from broadcast to a wide human audience or technical security measures (high) to a narrow, specific human audience or tailored technical security measure (low).


Deepfake & Synthetic Media Analysis Framework (DSMAF) Assessment™. The media submitted for this Deepfake Threat Intelligence Report (DTIR) was assessed with the Psyber Labs Deepfake & Synthetic Media Analysis Framework (DSMAF)™, a set of psychological, sociological and affective influence factors and sub-facets, that when holistically applied, inform the motivations, intentions, and targeting process in synthetic media and deepfake propagation. The findings of each DSMAF factor is described in respective sections and graphically plotted on the Deepfake Risk Factor Radar. The combined DSMAF findings are given a Synthetic Media Threat Level (Low, Medium, Elevated, or High) for actionable awareness and risk mitigation.

Threat Type

Threat Type is the category of intended purpose and the risk proposed by the synthetic media or deepfake. Often, cyber deception efforts through deepfake content are multi-purpose, and a result, are categorized with multiple threat types.

Financial Scam

The use of synthetic media to transmit deceptive information intended to obtain money or other things of value from the victim.

Fabricated Content

Content created to serve an information or psychological operation purpose.

Common Cognitive Vulnerabilities & Exposures™ (CCVE)

Common Cognitive Vulnerabilities & Exploits (CCVEs) are perceptual distortions, cognitive biases, heuristics misapplied, or any mental process that exposes a person to a potential manipulation by an adversary.

Authority

Category: Social Norm Vulnerabilities

Tendency to comply with authority figures (usually legal or expert authorities). Exploitable by assuming the persona or impersonating an authority figure. 

Suggestibility

Category: Other Psychological Vulnerabilities

Technique that attempts to implant a false memory in the target through suggestion. 

Desirability Bias

Category: Cognitive Processing

A form of motivated reasoning, this is both a cognitive and social response, in which individuals, consciously or unconsciously, allow emotion-loaded motivational biases affect how new information is perceived. In particular, information is often interpreted to correspond with hope/wants/wishes and information to the contrary is ignored.


Deepfake Attack Surface & Vectors

As part of the DSMAF criteria, Deepfake Attack Surface & Vectors assesses the intended target; the manner of control, or how the synthetic media is being presented to the target; and medium, or the type of synthetic media being presented to the intended target.


Intended Target

Both humans and automation may be targeted by synthetic media attacks. This criteria references whether the target of the attack was human or automation. The highlighted icon represents the intended target of this submitted media.


Human

Technical

Hybrid

Unknown



Control

A measure of if the attack was constructed by a human or by artificial intelligence. The highlighted icon represents the method of control of this submitted media.


Human

Automation

Hybrid

Unknown



Medium

The medium is the format of the content submitted. Highlighted items represent all of the various formats contained in the submitted content.


Text

Image

Video

Audio

Synthetic Media Exploitation Matrix

The Synthetic Media Exploitation Matrix Is a visual representation of the combined levels of attacker sophistication and maliciousness.

  • Sophistication is a judgment of the level of demonstrated technological prowess and capability involved in the attack.
  • Maliciousness is a conclusion regarding the degree to which the attack was deliberately intended to cause harm.

Sophistication

Moderate

Technical complexity of the atttack.

Sophistication
Maliciousness

Chart Not Available on Printed Version

Maliciousness

Moderate

How damaging the attack was intended to be.



Motivations

Motivations are the underlying activators, purposes or sustained reasons for why the deepfake threat actor sought to create and take the necessary steps to produce and disseminate synthetic media or deepfake content.

The deepfake persona narrative is to convince target audience members of investing in financial markets being recommended by the deepfake persona.

Financial Gain (Money)

Drive and intention to accumulate large sums of money or other financial resources

The Deepfake Kill Chain™

The Deepfake Kill Chain™ describes the various, distinct, sequential stages of deepfake media creation and dissemination. Understanding these stages, and the adversary’s efficacy in the respective stages not only reveals the adversary’s modus operandi and decision-making process, but when contrasted with the Deepfake & Synthetic Media Analysis Framework™, identifies and elucidates methods of preventing and defending against the adversary’s deepfake attacks.

The synthetic media was created as a method of persuading and gaining compliance from susceptible audiences that the person appearing in the video is authentic, and what they are conveying is authentic and credible. The path the audience is being led down is to invest in high-dividend EFTS, based upon the purported experience and authority of the deepfake narrator

Motivation

Motivation is the underlying activator, purpose or sustained reasons for why the deepfake threat actor wants to create nefarious synthetic media.

The content was created to cause the target audience to invest in high-dividend EFTs and other investments being suggested by the deepfake persona.

Targeting

Targeting is the threat actor’s intentional selection of a target audience, or the group or individual whom he is interested in impacting with his deepfake campaign.

The target audience is Chinese speaking and likely native Chinese.

Research and Reconnaissance

Research & Reconnaissance occurs when the threat actor is effortfully gathering information about the target audience, the optimal channels to conduct their campaign on, the relevant narratives for the attack, and type of content that will have the desired impact on the target audience.

No case specific insights generated.

Preparation and Planning

Preparation & Planning are the steps and processes that the threat actor takes to acquire the tools and content needed to create the deepfake media for their campaign and their deliberation for the execution of the campaign.

Effort was taken to gather information relevant to the market, definitions and context to sound legitimate. Similarly, a backstory of purported experience was provided by the deepfake persona to exude authority to the target audience.

Production

Production is the threat actor’s use of tools and content for the creation and development of deepfake media for their attack campaign.

The audio production value was not high-quality and sounded very high in treble and modulation.

Narrative Testing

Narrative Testing. A narrative is a story, or an account of related events or experiences. A good narrative will have story coherence, such that both the story being told and its relationship to the real world are cohesive and clear. In deepfake campaigns, threat actors consider and evaluate the possible narratives—particularly in relation to events and context—to support the campaign in an effort to maximize the believability and efficacy of the attack.

No case specific insights generated.

Deployment

Deployment is the threat actor’s intentional transmission of deepfake content to the target audience through selected online channels.

No case specific insights generated.

Amplification

Amplification is the threat actor’s intentional efforts to maximize the visibility, virality and target audience exposure to their deepfake content.

No case specific insights generated.

Post-Campaign

Post-Campaign is the period after the target audience has received and been exposed to the deepfake content.

No case specific insights generated.



Cognitive Security Recommendations

This section identifies the steps and measures to prevent and defend against the synthetic media/deepfake content assessed in this DTIR. For a more detailed recommendation, training or consultation, connect with Psyber Labs.


As with many financial scams and investment schemes, independent research is needed before taking action. in this video, the source of the message makes many experiential claims of success, but gives little citation to sources or statistics to support her stories. Investments should not be done through being swayed by self-proclaimed experts and scant facts, but rather, market research, market comparison, historical margins, and if possible, consultation with a financial expert.

Appendix

DTIR™ Version: 1.0

Submission Date (UTC): January 10, 2024 15:49

Assessment Date (UTC): January 11, 2024 06:00

SHA256 Hash: 7b6c0c6949549950f9ea642176b6c8576c42394cccd72f16f0e77f4ade85a844