Patent · US Active

Detecting phishing PDFs with an image-based deep learning approach

US12348560B2 · kind B2 · utility

0Cited by

13References

23Claims

0Family size

Assignee

Palo Alto Networks, Inc. · US

Inventors

Min Du · Santa Clara, US
Hao Huang · Fukuoka, JP
Curtis Leland Carmony · Albuquerque, US
Wenjun Hu · Santa Clara, US
Daniel Raygoza · Baltimore, US
Tyler Pals Halfpop · Carmel, US
Jeff Steven White · San Jose, US
Esmid Idrizovic · Trumau, AT

Key dates

Filing date	May 2, 2022
Grant date	Jul 1, 2025
Priority date	—
Expiry date	Oct 6, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06F21/577
WIPO fieldDigital communication
WIPO sectorElectrical engineering

Abstract

The detection of phishing Portable Document Format (PDF) files using an image-based deep learning approach is disclosed. A PDF document that includes a Universal Resource Locator is received. A likelihood that the received PDF document represents a phishing threat is determined, at least in part, by using an image based model. A verdict for the PDF document is provided as output based at least in part on the determined likelihood.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.