Abstract: Disclosed are systems, methods and computer program products for detecting and preventing spread of malware in a peer-to-peer (P2P) network. The system includes a P2P server receiving from a peer client computer a request for a metadata object and determining if the requested metadata object is associated with one of a verified clean data object, a verified malicious data, or an unverified data object. If the requested metadata object is associated with a verified clean data object, transmitting the requested metadata object to the peer client computer. If the requested metadata object is associated with an unverified data object, determining if the peer client computer has an antivirus software for testing the unverified data object for malware. If the peer client computer has an antivirus software, transmitting to the peer client computer the requested metadata object, otherwise denying client' request.

Abstract: Disclosed are systems, methods and computer program products for detecting and preventing spread of malware in a peer-to-peer (P2P) network. The system includes a P2P server receiving from a peer client computer a request for a metadata object and determining if the requested metadata object is associated with one of a verified clean data object, a verified malicious data, or an unverified data object. If the requested metadata object is associated with a verified clean data object, transmitting the requested metadata object to the peer client computer. If the requested metadata object is associated with an unverified data object, determining if the peer client computer has an antivirus software for testing the unverified data object for malware. If the peer client computer has an antivirus software, transmitting to the peer client computer the requested metadata object, otherwise denying client' request.

Abstract: A computer-implemented system and method for detecting, by a mail server module, spam bot activity by a client device. An email session is conducted between the mail server module and the client device according to a predetermined protocol that includes exchange of messages between the mail server module and the client device. The mail server module probes compliance with the predetermined protocol including: purposefully introducing at least one irregularity into a first message from the mail server module; monitoring a subsequent message transmission from the client device; comparing the subsequent message against reference criteria; and producing a reputability determination for the client device based on an extent to which the subsequent message was a proper response to the at least one irregularity according to the predetermined protocol, the reputability determination being indicative of a likelihood that the client device conducts spam bot activity.

Abstract: Disclosed are systems, methods and computer program products for malware detection in a peer-to-peer (P2P) network. In one example embodiment, a peer node of the P2P network receives a user request to download a data object from the P2P network. The peer node obtains a metadata object associated with the requested data object and extracts from the metadata object a checksum associated with the requested data object. The peer node then determines if the extracted checksum is associated with a malicious data object by comparing the extracted checksum with checksums of known malicious data objects stored in a local malware database. If the checksum of the requested data object matches a checksum of a malicious data object, the user request to download the data object form the P2P network is denied.

Abstract: A computer-implemented system and method for detecting, by a mail server module, spam bot activity by a client device. An email session is conducted between the mail server module and the client device according to a predetermined protocol that includes exchange of messages between the mail server module and the client device. The mail server module probes compliance with the predetermined protocol including: purposefully introducing at least one irregularity into a first message from the mail server module; monitoring a subsequent message transmission from the client device; comparing the subsequent message against reference criteria; and producing a reputability determination for the client device based on an extent to which the subsequent message was a proper response to the at least one irregularity according to the predetermined protocol, the reputability determination being indicative of a likelihood that the client device conducts spam bot activity.