Image based spam blocking
A fingerprint of an image identified within a received message is generated following analysis of the message. A spam detection engine identifies an image within a message and converts the image into a grey scale image. The spam detection engine analyzes the grey scale image and assigns a score. A fingerprint of the grey scale image is generated based on the score. The fingerprint may also be based on other factors such as the message sender's status (e.g. blacklisted or whitelisted) and other scores and reports generated by the spam detection engine. The fingerprint is then used to filter future incoming messages.
1. A method for filtering image-based messages, the method comprising:
receiving an image-based message from a sender; and
executing instructions stored in memory, wherein execution of the instructions by a processor:
identifies via image analysis that one or more text lines are present within boundaries of an image of the image-based message,
identifies whether the one or more text lines identified as being present within the image fit a predetermined numeric pattern, the predetermined numeric pattern based on numeric character count values corresponding to numbers of consecutive characters and spaces,
assigns a score to the message based on whether the text lines fit the predetermined numeric pattern, and
filters the received image-based message based on the assigned score.
2. The method of claim 1 , wherein execution of the instructions by the processor further converts the image into a grey-scale image.
3. The method of claim 1 , wherein execution of the instructions by the processor further determines a number of the one or more text lines, wherein assigning the score is further based on the determined number of the one or more text lines.
4. The method of claim 1 , wherein execution of the instructions by the processor further identifies one or more columns of text, wherein assigning the score is further based on the identified one or more columns of text.
5. The method of claim 1 , wherein assigning the score is further based on a location of the identified one or more text lines within the image-based message.
6. The method of claim 5 , wherein execution of the instructions by the processor further identifies that the one or more text lines comprise a date and/or time, wherein the assigned score based on the date and/or time indicates that the message is likely to be good.
7. The method of claim 1 , wherein execution of the instructions by the processor further creates a histogram regarding pixel colors in the image.
8. The method of claim 7 , wherein execution of the instructions by the processor further identifies groupings of pixels based on contrast and/or intensity.
9. The method of claim 1 , wherein execution of the instructions by the processor further generates a profile of the image-based message based on the identified one or more text lines.
10. The method of claim 9 , wherein execution of the instructions by the processor further stores the generated profile in a library in memory with other profiles, wherein the stored profiles are available for comparison with subsequent incoming messages.
11. A system for filtering image-based messages, the system comprising:
a communication interface for receiving an image-based message from a sender; and
a processor for executing instructions stored in memory, wherein execution of the instructions by the processor:
identifies via image analysis that one or more text lines are present within boundaries of an image of the image-based message,
identifies whether the one or more text lines identified as being present within the image fit a predetermined numeric pattern, the predetermined numeric pattern based on numeric character count values corresponding to numbers of consecutive characters and spaces,
assigns a score to the message based on whether the text lines fit the predetermined numeric pattern, and
filters the received image-based message based on the assigned score.
12. The system of claim 11 , wherein the processor executes further instructions to convert the image into a grey-scale image.
13. The system of claim 11 , wherein the processor executes further instructions to determine a number of the one or more text lines, wherein the score is further based on the determined number of the one or more text lines.
14. The system of claim 11 , wherein the processor executes further instructions to identify one or more columns of text, wherein the score is further based on the identified one or more columns of text.
15. The system of claim 11 , wherein the score is further based on a location of the identified one or more text lines within the image-based message.
16. The system of claim 15 , wherein the processor executes further instructions to determine that the one or more text lines comprise a date and/or time, wherein the assigned score based on the date and/or time indicates that the message is likely to be good.
17. The system of claim 11 , wherein the processor executes further instructions to creates a histogram regarding pixel color.
18. The system of claim 17 , wherein the processor executes further instructions to identify groupings of pixels based on contrast and/or intensity.
19. The system of claim 11 , wherein the processor executes further instructions to generate a profile of the image-based message based on the identified one or more text lines.
20. The system of claim 19 , further comprising a library in memory for storing the generated profile with other profiles, wherein the stored profiles are available for comparison with subsequent incoming messages.
21. A non-transitory computer-readable storage medium, having embodied thereon a program executable by a processor to perform a method for filtering image-based messages, the method comprising:
receiving an image-based message from a sender;
identifying via image analysis that one or more text lines are present within boundaries of an image of the image-based message;
identifying whether the one or more text lines identified as being present within the image fit a predetermined numeric pattern, the predetermined numeric pattern based on numeric character count values corresponding to numbers of consecutive characters and spaces;
assigning a score to the message based on whether the text lines fit the predetermined numeric pattern; and
filtering the received image-based message based on the assigned score.