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US 2024/0205264 A1Published application
System and method for detecting and blocking phishing attacks embedded in noisy images
AssigneeBarracuda Networks, Inc.
InventorChristopher L. Sawtelle
Life of this patent
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Abstract
A method includes receiving an image embedded with text and injected with noise. A new image is generated based on the received message, wherein the new image includes the image embedded with the text wherein the noise is reduced in comparison to the received image. The embedded text is identified from the new image. The method further includes determining whether the embedded text poses a cybersecurity threat.
Claims24
A system, comprising:
- a generative adversarial network (GAN) unit configured to
- receive an image embedded with text and injected with noise;
- generate a new image based on the received message, wherein the new image includes the image embedded with the text wherein the noise is reduced in comparison to the received image;
- and
- send the new image as output from the GAN unit;
- an optical character recognition (OCR) unit configured to receive the new image as received from the GAN unit and further configured to identify the embedded text;
- and
- a natural language classification unit configured to receive the identified embedded text from the OCR unit and further configured to determine whether the embedded text poses a cybersecurity threat.
5 more elements
A method comprising:
- receiving a first image with a first embedded text and injected with a first noise;
- generating a first new image from the first image with the first embedded text and injected with the first noise, wherein the first new image is the first image with the first embedded text and wherein the first noise is reduced;
- determining a closeness of the first new image to the first image embedded with the first embedded text free of the first noise;
- and
- generating a machine learning (ML) model based on the first new image and further based on the closeness of the first new image to the first image embedded with the first text with reduced first noise.
2 more elements
A method comprising:
- receiving an image embedded with text and injected with noise;
- generating a new image based on the received image embedded with the text and injected with the noise, wherein the new image includes the image embedded with the text wherein the noise is reduced in comparison to the received image;
- identifying the embedded text from the new image;
- and
- determining whether the embedded text poses a cybersecurity threat.
2 more elements
Dependencies are inferred from the claim text.