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

Maui Wildfire Engulfed in Fire at Night

Submitted File

This image appears to have originated from Adobe Stock images, although it might have been generated using Midjourney.

Threat Level

Low

Moderate

Elevated

High


Authenticity Spectrum

Real

Suspicious

Likely Fake

Fake



Deepfake Attack Profile

Credibility

Low

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

High

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

Distribution

Mediumcast

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.

There does not appear be a specific threat associated with this image; however, it was not specifically labeled as "AI generated" in the original post and therefore could have potentially been used as part of a disinformation campaign. Threat types listed below reflect the potential misuse of this image, rather than actual misuse.

Social Contagion

The spread of behaviors, attitudes, beliefs and affect through social aggregates from one member to another

Misinformation

Misinformation is false or inaccurate information wherein there is no intention to cause fictitious narratives or beliefs, but rather, it is a result of unintentionally getting the facts wrong.

Artwork (not a threat)

Artwork creative using generative adversarial networks (GAN), other other neural networks or artificial intelligence.

Disinformation

False information purposely spread to influence public opinion or obscure the truth

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.

This is a highly provocative visual image intended to create a visceral response. Such imagery has high potential to create false memories associated with this event.

Availability Heuristic

Category: Cognitive Processing

Information that is more readily available in memory is judged as more likely or more representative. Can be influenced by recency or emotional virulence of the memories.

Fear

Category: Other Psychological Vulnerabilities

An attacker leverages fear to gain target compliance.

False Memory Implantation

Category: Other Psychological Vulnerabilities

False memory implantation is a recollection that seems real but is actually a fabricated or distorted recollection of an event by virtue of being fed untrue information about an event or experience. These memories may be entirely false and imaginary, or in some cases may contain elements of fact that have been distorted by interfering information or other memory distortions.


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

Low

Technical complexity of the atttack.

Sophistication
Maliciousness

Chart Not Available on Printed Version

Maliciousness

Low

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 likely motive for using imagery such as this in a legitimate news story is laziness or a desire to save money spent on real images. The potential motive for using such imagery in a disinformation campaign orient around the visually striking and evocative imagery.

Provocation

Instigating, eliciting or forcing the target audience to take and action that is advantageous to the deepfake threat adversary

Artwork

The media was created based upon an artistic project or endeavor

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.

This image appears to have been generated for the purpose of using in a news story.

Motivation

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

Providing freely available legitimate images may reduce the need for journalists to resort to generating images of actual events.

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.

No case specific insights generated.

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.

No case specific insights generated.

Production

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

No case specific insights generated.

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.

Labeling this image as "AI generated" dampened the distribution and amplification of its inclusion in additional news stories.

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.


No security recommendations since this does not appear to have been used maliciously.

Appendix

DTIR™ Version: 1.0

Submission Date (UTC): January 04, 2024 02:48

Assessment Date (UTC): January 04, 2024 10:13

SHA256 Hash: 87c1c2da638aa86f05a91d1cb16aa4052e52814ba31b2def42bbcabf03cd8c75

Source: https://readwrite.com/deepfake-ai-generated-images-that-went-viral-in-2023/ https://stock.adobe.com/images/Maui%2C-Hawaii-Wildfire-Engulfed-in-Fire-at-Night---Dark-Smoke%2C-Palm-Trees%2C-/645876913 https://www.washingtonpost.com/technology/2023/11/23/stock-photos-ai-images-controversy


Notes:

The image may have been used in legitimate news articles about the Maui wildfires. Although report eluded the potential inclusion in legitimate news reports, the analyst was unable to locate any articles incorporating this specific image.