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
- 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.
- 31 Mar 2023Camera Hijack Attack on Facial Recognition System
- 31 Mar 2023Faces are the next target for fraudsters
Sources · 3
News and write-ups
- 2023-03-31Faces are the next target for fraudstersThe Wall Street Journal · wsj.com/articles/faces-are-the-next-target-for-fraudsters-11625662828
Research and catalogues
- 2023-03-31AVID-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.AVID · github.com/avidml/avid-db/blob/main/vulnerabilities/2023/AVID-2023-V005.json
- 2023-03-31Camera Hijack Attack on Facial Recognition SystemMITRE 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
- mitre atlas
- AML.T0015 Evade AI ModelAML.T0043 Craft Adversarial DataAML.T0073 ImpersonationAML.T0088 Generate Deepfakes
- 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
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# 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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