Hive Box Facial Recognition Locks Bypassed With Printed Photos
Attack on AI1 Research / proof of conceptAdversarial evasion
Facial-recognition lockers were easily bypassed by students using a printed photograph of the intended recipient. The vulnerability left delivery locker contents exposed to theft.
Details
- type
- Attack on AIAn AI model, agent or AI-powered product was the thing exploited, abused or leaked.
- categories
- Adversarial evasionInputs crafted to make a model misclassify or miss detections (perturbations, evasion of AI-based defences).
- Adversarial evasion
- owasp llm top 10
- no entry for these categories
- mitre atlas
- Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
- severity
- 1 · Research / proof of conceptDemonstrated by researchers; no known real-world exploitation.
- targets
- Enterprise deployment
- products
- Hive Box Facial-Recognition Locks
- incident date
- 9 Oct 2019
- first reported
- 9 Oct 2019
- origin
- AI Incident DatabaseDerived from the AI Incident Database (CC BY-SA 4.0).
- classifier confidence
- 0.85 · published at or above 0.80; see the methodology
- tags
- facial-recognition · spoofing · bypass
- record
- created 2026-10-18 06:33Z · updated 2026-10-18 06:59Z · json
Sources · 1
- 2019-10-09Hive Box Facial-Recognition Locks Hacked by Fourth Graders Using Intended Recipient’s Facial PhotoAI Incident Database · incidentdatabase.ai/cite/223
Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.
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