Abstract: Systems and methods for analyzing electronic messages are disclosed. In some embodiments, the method comprises receiving a new received message from an indicated sender, the new received message having a first message characteristic of the indicated sender and a second message characteristic, identifying an actual sender message characteristic pattern of an actual sender using the first message characteristic, probabilistically comparing the second message characteristic to the actual sender message characteristic pattern, determining a degree of similarity of the second message characteristic to the actual sender message characteristic pattern, and influencing a probability that the indicated sender is the actual sender based upon the degree of similarity. There may be multiple message characteristics and patterns.

Abstract: Systems and methods for analyzing electronic messages are disclosed. In some embodiments, the method comprises receiving a new received message from an indicated sender, the new received message having a first message characteristic of the indicated sender and a second message characteristic, identifying an actual sender message characteristic pattern of an actual sender using the first message characteristic, probabilistically comparing the second message characteristic to the actual sender message characteristic pattern, determining a degree of similarity of the second message characteristic to the actual sender message characteristic pattern, and influencing a probability that the indicated sender is the actual sender based upon the degree of similarity. There may be multiple message characteristics and patterns.

Abstract: Systems and methods for analyzing electronic messages for phishing detection are disclosed. In one example embodiment, whether a received email message is a phishing message is determined based on the outcome of a comparison of a recipient background information to a email characteristic wherein the recipient background information is obtained from an online social network. In some embodiments, whether the received email message is a phishing message is determined by comparing a new received email message profile to an email characteristic profile to determine whether the new received email message profile is similar to the email characteristic profile. In some embodiments, whether the received email message is a phishing message is determined by comparing the email characteristics of the new received email message with pattern characteristics. In some embodiments, the determination is made by comparing a email characteristics of the received message with a historical email characteristic.

Abstract: A system and method for analyzing electronic messages for phishing detection are disclosed. In one example, email characteristics are obtained by parsing a received email message from a sender/sender organization to a recipient/recipient organization based on a set of predetermined email characteristics; the email characteristics of the received email message are then compared with email characteristics associated with the recipient/recipient organization and/or the sender/sender organization, and the received email message is then declared as a phishing electronic message based on the outcome of the comparison.