Emc Corporation

Idan Aharoni

Roy Hodgman

Yariv Amar

Daniel T Cohen

Mirit Hirsh

Ingo Schubert

Uri Rivner

Anton Gartsbein

Nir Avnery

An improved system and method of measuring and evaluating a distributed denial of services (DDOS) attack includes arranging for a DDoS attack by engaging a network provider offering malicious services to attack a honeypot computerized device. The honeypot includes a packet sniffer used to measure the values of parameters of the DDoS attack useful in determining the method of attack, the origin and extent of the attack, in calculating methods for early determination that a DDoS attack is occurring, and methods of countering this type of DDoS attack before it occurs.

Distributed denial of service (DDoS) honeypots

A method includes (a) receiving, at a computing device, a first certificate signing request (1CSR) from a certificate authority (CA), the 1CSR including an embedded second certificate signing request (2CSR), the 2CSR having been received by the CA from an entity seeking a signed certificate from the CA that validates an identity claim made by the entity in the 2CSR, the CA having performed a preliminary verification of the 2CSR prior to embedding it in the 1CSR, (b) verifying that the 1CSR came from the CA, (c) performing a verification procedure on the embedded 2CSR independent of the preliminary verification performed by the CA, to validate the identity claim made by the entity in the 2CSR, and (d) upon successfully validating the identity claim made by the entity in the 2CSR, sending a certificate to the CA, the certificate validating the identity claim made by the entity in the 2CSR.

Techniques for multiple independent verifications for digital certificates

An improved technique involves searching for emails having a particular template generated by a phishing kit. Such a template typically includes field names corresponding to credentials that a customer inputs into a spoofed web site as part of a phishing attack. The phishing kit used in a phishing attack is typically configured to construct an email so that it arranges the credentials in a regular, tabular fashion. Accordingly, an administrator configures a receiver to search an email server for emails having a sequence of keywords in a format that matches the particular template.

Identifying malware sources using phishing kit templates

An improved technique utilizes a honeypot-style seeding of synthetic user identifiers which, if used by spear-phishing intruders, enable easy discovery of the intruders. Along these lines, an administrator of a network constructs false employee profiles on a social network with the intent of intercepting any email to that employee. Such employee profiles correspond to no actual employee of the corporation, but are in fact synthetic entities designed to appear to be an actual employee. These profiles contain identifiers that describe the employee, such as a name, position within the corporation, telephone number, educational background, past positions, and social connections. The administrator configures a receiver at the corporate network to block from entering the secure network emails that include references to any of these identifiers.

Protecting electronic assets using false profiles in social networks

Content randomization techniques for thwarting malicious software attacks. In one example, a method comprises the following steps. Content is received at a randomizer module from a first computing device, the content having been retrieved by the first computing device in response to a content request by a second computing device. The content is randomly altered at the randomizer module to generate randomly altered content. Log information about the random alteration to the content is maintained at the randomizer module. The randomly altered content is sent from the randomizer module to the first computing device such that the first computing device is able to provide the randomly altered content to the second computing device in response to the content request by the second computing device. Further, the random alteration may be removed from reply content using the log information.

Content randomization for thwarting malicious software attacks

A technique is presented of providing, in an electronic central server, transactional information to a user. The technique includes receiving a set of transaction messages from a set of transactional information sources, each transaction message including respective transaction data. The technique also includes generating a transaction history from the set of transaction messages, the transaction history including the respective transaction data of each transaction message. The technique further includes delivering an aggregate message to a set of user devices, the aggregate message including the transaction history and being presented in atomic form to the user in order to prevent an attacker from excising particular transaction data from the aggregate message.

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Tel Aviv, Israel

Idan Aharoni