PromptRiskDBThreat intelligence atlas
AI Risk

AI-driven spear phishing attacks

"Generative models can be misused to target individual users more efficiently by using personalized information [23]. Highly convincing automated fraudulent schemes can exploit the trust of victims by extracting sensitive data and making the deception more likely to succeed. For example, in LLMs, this misuse can be aided by jailbreaking techniques [178]."

AI Risk4. Malicious Actors & Misuse4.3 > Fraud, scams, and targeted manipulation2 - Post-deployment

Record summary

A quick snapshot of what this page covers.

Techniques2Attack methods connected to this risk.
Mitigations2Defenses that may help with related attacks.
Domain4. Malicious Actors & MisuseThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

Domain4. Malicious Actors & Misuse
Subdomain4.3 > Fraud, scams, and targeted manipulation
Entity1 - Human
Intent1 - Intentional
Timing2 - Post-deployment
CategoryImpacts of AI (Cyberattacks)
SubcategoryAI-driven spear phishing attacks

Suggested mitigations

Defenses that may help with related attacks.

User Training

Business and Data UnderstandingData Preparation+4 more
LifecycleBusiness and Data Understanding + 5 moreCategoryPolicy

Deepfake Detection

DeploymentMonitoring and Maintenance+2 more
LifecycleDeployment + 3 moreCategoryTechnical - ML

Source

Research source for this risk, when available.