Abstract: A method of controlling distribution of content in a message sent by a message sender comprises receiving an indication from the message sender that the message is to be protected, identifying content in the message to be protected, adding the identified content to a database of protected content, and determining whether subsequently received content in a subsequently received message is associated with the identified content. A system for controlling distribution of content in a message sent by a message sender comprises a processor configured to receive an indication from the message sender that the message is to be protected, identify content in the message to be protected, add the identified content to a database of protected content, and determine whether subsequently received content in a subsequently received message is associated with the identified content.

Abstract: A method of controlling distribution of content in a message sent by a message sender comprises receiving an indication from the message sender that the message is to be protected, identifying content in the message to be protected, adding the identified content to a database of protected content, and determining whether subsequently received content in a subsequently received message is associated with the identified content. A system for controlling distribution of content in a message sent by a message sender comprises a processor configured to receive an indication from the message sender that the message is to be protected, identify content in the message to be protected, add the identified content to a database of protected content, and determine whether subsequently received content in a subsequently received message is associated with the identified content.

Abstract: Systems, methods, and media for classifying messages are disclosed. A plurality of fraud indicators are identified in the message. A signature of the message is generated. The generated signature of the message is compared to a stored signature. The stored signature is based on a statistical analysis of fraud indicators in a second message associated with the stored signature. A determination as to whether the message is fraudulent is made based on the comparison. The message is processed based on the determination that the message is a fraudulent message.

Abstract: A method of controlling distribution of content in a message sent by a message sender comprises receiving an indication from the message sender that the message is to be protected, identifying content in the message to be protected, adding the identified content to a database of protected content, and determining whether subsequently received content in a subsequently received message is associated with the identified content. A system for controlling distribution of content in a message sent by a message sender comprises a processor configured to receive an indication from the message sender that the message is to be protected, identify content in the message to be protected, add the identified content to a database of protected content, and determine whether subsequently received content in a subsequently received message is associated with the identified content.

Abstract: A method of controlling distribution of content in a message sent by a message sender comprises receiving an indication from the message sender that the message is to be protected, identifying content in the message to be protected, adding the identified content to a database of protected content, and determining whether subsequently received content in a subsequently received message is associated with the identified content. A system for controlling distribution of content in a message sent by a message sender comprises a processor configured to receive an indication from the message sender that the message is to be protected, identify content in the message to be protected, add the identified content to a database of protected content, and determine whether subsequently received content in a subsequently received message is associated with the identified content.

Abstract: Systems, methods, and media for classifying messages are disclosed. A plurality of fraud indicators are identified in the message. A signature of the message is generated. The generated signature of the message is compared to a stored signature. The stored signature is based on a statistical analysis of fraud indicators in a second message associated with the stored signature. A determination as to whether the message is fraudulent is made based on the comparison. The message is processed based on the determination that the message is a fraudulent message.

Abstract: A method of controlling distribution of content in a message sent by a message sender comprises receiving an indication from the message sender that the message is to be protected, identifying content in the message to be protected, adding the identified content to a database of protected content, and determining whether subsequently received content in a subsequently received message is associated with the identified content. A system for controlling distribution of content in a message sent by a message sender comprises a processor configured to receive an indication from the message sender that the message is to be protected, identify content in the message to be protected, add the identified content to a database of protected content, and determine whether subsequently received content in a subsequently received message is associated with the identified content.

Abstract: Systems, methods, and media for classifying messages are disclosed. A plurality of fraud indicators are identified in the message. A signature of the message is generated. The generated signature of the message is compared to a stored signature. The stored signature is based on a statistical analysis of fraud indicators in a second message associated with the stored signature. A determination as to whether the message is fraudulent is made based on the comparison. The message is processed based on the determination that the message is a fraudulent message.

Abstract: Systems, methods, and media for classifying messages are disclosed. A plurality of fraud indicators are identified in the message. A signature of the message is generated. The generated signature of the message is compared to a stored signature. The stored signature is based on a statistical analysis of fraud indicators in a second message associated with the stored signature. A determination as to whether the message is fraudulent is made based on the comparison. The message is processed based on the determination that the message is a fraudulent message.

Abstract: Systems, methods, and media for classifying messages are disclosed. A plurality of fraud indicators are identified in the message. A signature of the message is generated. The generated signature of the message is compared to a stored signature. The stored signature is based on a statistical analysis of fraud indicators in a second message associated with the stored signature. A determination as to whether the message is fraudulent is made based on the comparison. The message is processed based on the determination that the message is a fraudulent message.

Abstract: Systems, methods, and media for classifying messages are disclosed. A plurality of fraud indicators are identified in the message. A signature of the message is generated. The generated signature of the message is compared to a stored signature. The stored signature is based on a statistical analysis of fraud indicators in a second message associated with the stored signature. A determination as to whether the message is fraudulent is made based on the comparison. The message is processed based on the determination that the message is a fraudulent message.

Abstract: A technique for classifying a message is disclosed. In some embodiments, the technique comprises extracting a plurality of reference points, classifying the plurality of reference points, and detecting that the message is a phish message based on the classified reference points. In some embodiments, the technique comprises identifying a plurality of fraud indicators in the message, applying a statistical analysis on the plurality of fraud indicators; and determining whether the message is a fraudulent message based on the analysis.

Abstract: A technique for classifying a message is disclosed. In some embodiments, the technique comprises extracting a plurality of reference points, classifying the plurality of reference points, and detecting that the message is a phish message based on the classified reference points. In some embodiments, the technique comprises identifying a plurality of fraud indicators in the message, applying a statistical analysis on the plurality of fraud indicators; and determining whether the message is a fraudulent message based on the analysis.

Abstract: A technique for classifying a message is disclosed. In some embodiments, the technique comprises extracting a plurality of reference points, classifying the plurality of reference points, and detecting that the message is a phish message based on the classified reference points. In some embodiments, the technique comprises identifying a plurality of fraud indicators in the message, applying a statistical analysis on the plurality of fraud indicators; and determining whether the message is a fraudulent message based on the analysis.

Abstract: A method of controlling distribution of content in a message sent by a message sender comprises receiving an indication from the message sender that the message is to be protected, identifying content in the message to be protected, adding the identified content to a database of protected content, and determining whether subsequently received content in a subsequently received message is associated with the identified content. A system for controlling distribution of content in a message sent by a message sender comprises a processor configured to receive an indication from the message sender that the message is to be protected, identify content in the message to be protected, add the identified content to a database of protected content, and determine whether subsequently received content in a subsequently received message is associated with the identified content.

Abstract: A technique for classifying a message is disclosed. In some embodiments, the technique comprises extracting a plurality of reference points, classifying the plurality of reference points, and detecting that the message is a phish message based on the classified reference points. In some embodiments, the technique comprises identifying a plurality of fraud indicators in the message, applying a statistical analysis on the plurality of fraud indicators; and determining whether the message is a fraudulent message based on the analysis.