Yahoo! Inc.

Miles Libbey

Richard Sinn

F Randall Farmer

Neal J Sample

Jing Zhu

Chip Morningstar

Mohammad Mohsenzadeh

Steven Kenichi Yoshimoto

Len Fenkel

A self training set of robots are configured to proactively search for selective communication abuses over a network. Robots may enter a chat room to proactively send messages. The robots then analyze patterns and/or content of a received message for potential abuse. Robots may also passively reside on/off line without publishing their network address. If a message is received, the message may be interpreted to be SPAM/SPIM. Robots may also perform a variety of other actions, such as access websites, and analyze received messages to determine if the messages indicate abuse. If abuse is detected, information may also be obtained to enable blocking or filtering of future messages from the sender, or access to/from an abusive website. The information also may be used to retrain robots, so that the robots may learn from and share their collective knowledge of abusive actions.

Dynamic combatting of SPAM and phishing attacks

A network device and method are directed towards detecting and blocking spam within a message by rapidly performing a predication analysis based on early received sender reputation reports. Reputation reports may be received from a plurality of users receiving messages that they interpret as either spam or non-spam. A reputation report rate prediction table is employed to predict the total number of user reports that will occur. The total number of spam reports and not spam (ham) reports for may then be used with a sender categorization model to rapidly predict whether the sender is likely to be a spammer. If the sender is determined to be a spammer, various preventative actions may be taken, including, but not limited to blocking messages from the sender to users, alerting third party filter generators of the spammer, or the like.

Detecting spam messages using rapid sender reputation feedback analysis

The invention is directed to a system and method for determining if a 'spam' message is originating from a messaging account by challenging a particular client's outbound email usage with a test that requires verification of content that is easily understood by a human being, not an automated computer program such as those used by 'spammers.' If a limit on the number of recipients for outbound messages has been exceeded, a test is presented the next time a client attempts to send a message. The client must successfully answer the test within a relatively short period of time or else the ability to send messages will be disabled. Once disabled, the client can reinstate the ability to send messages by contacting a representative of the message system out of band, e.g., a telephone call to confirm legitimate outbound email use.

Method and system for image verification to prevent messaging abuse

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Mountain View, CA, United States of America

Miles Libbey