gcdRadar
closedclosed 14 Apr 2023Breaches & attacks4 Confirmed real-world lossAI

Camera hijack attack evades facial recognition in tax system fraud

Shanghai government tax office facial recognition service

Attackers used camera spoofing and hijacking to bypass facial recognition authentication on a government tax system. The scheme enabled unauthorized access and seventy-seven million dollars in fraudulent invoices.

first report
31 Mar 2023
last update
31 Mar 2023

Timeline · 3

  1. 31 Mar 2023AVID-2023-V005: This type of camera hijack attack can evade the traditional live facial recognition authentication model and enable access to privileged systems and victim impersonation.
  2. 31 Mar 2023Camera Hijack Attack on Facial Recognition System
  3. 31 Mar 2023Faces are the next target for fraudsters

Sources · 3

News and write-ups

  1. 2023-03-31
    Faces are the next target for fraudsters
    The Wall Street Journal · wsj.com/articles/faces-are-the-next-target-for-fraudsters-11625662828

Research and catalogues

  1. 2023-03-31
  2. 2023-03-31
    Camera Hijack Attack on Facial Recognition System
    MITRE ATLAS · atlas.mitre.org/studies/AML.CS0004

Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.

Classification

AI role
AI-enabled attack
categories
Adversarial evasionDeepfake fraud
severity
4 · Confirmed real-world loss
targets
Enterprise deployment
owasp llm top 10
no entry for these categories
dates
happened 2018 (approx.) · first reported 31 Mar 2023
origin
AVID
record
confidence 0.90 · created 2026-10-18 06:56Z · updated 2026-10-18 06:56Z

Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned

Copy a brief

This record as a short Markdown brief, for a ticket, a chat or a coding agent.

the brief as text
# Camera hijack attack evades facial recognition in tax system fraud

https://gcdradar.vercel.app/incidents/camera-hijack-attack-evades-facial-recognition-in-tax-system · AIR-2023-0014 · closed 2023-04-14

- Lane: Breaches & attacks
- Severity: 4 (Confirmed real-world loss)
- Fix status: No fix needed
- First reported: 2023-03-31 (happened 2018)
- AI role: AI-enabled attack
- Products: Shanghai government tax office facial recognition service

## Summary

Attackers used camera spoofing and hijacking to bypass facial recognition authentication on a government tax system. The scheme enabled unauthorized access and seventy-seven million dollars in fraudulent invoices.

## What to do

No action recorded; read the sources below and the vendor's advisory.

## Latest updates

- 2023-03-31: Faces are the next target for fraudsters (https://wsj.com/articles/faces-are-the-next-target-for-fraudsters-11625662828)
- 2023-03-31: Camera Hijack Attack on Facial Recognition System (https://atlas.mitre.org/studies/AML.CS0004)
- 2023-03-31: AVID-2023-V005: This type of camera hijack attack can evade the traditional live facial recognition authentication model and enable access to privileged systems and victim impersonation. (https://github.com/avidml/avid-db/blob/main/vulnerabilities/2023/AVID-2023-V005.json)

## Sources

- 2023-03-31 AVID: AVID-2023-V005: This type of camera hijack attack can evade the traditional live facial recognition authentication model and enable access to privileged systems and victim impersonation. https://github.com/avidml/avid-db/blob/main/vulnerabilities/2023/AVID-2023-V005.json
- 2023-03-31 MITRE ATLAS: Camera Hijack Attack on Facial Recognition System https://atlas.mitre.org/studies/AML.CS0004
- 2023-03-31 The Wall Street Journal: Faces are the next target for fraudsters https://wsj.com/articles/faces-are-the-next-target-for-fraudsters-11625662828

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.

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