Fireeye, Inc.

Divyesh Mehra

Henry Uyeno

Vinay K Pidathala

Alexandr Rivlin

Abhishek Singh

According to one embodiment, an electronic device features processing circuitry and memory that includes a first logic and a second logic. When executed by the processing circuitry, the first logic organizes (i) a first plurality of indicators of compromise (IOCs) received from a first source, where the first plurality of IOCs being caused by a known origin of a malicious attack, and (ii) one or more IOCs received from a second source that is different from the first source and an origin of the one or more IOCs is unknown. The second logic conducts a predictive analysis that evaluates whether the one or more IOCs have at least a degree of correlation with the first plurality of IOCs, and determines a threat level. The threat level signifies a degree of confidence that IOCs received from the second source are caused by the known origin of the first plurality of IOCs.

System and method of detecting delivery of malware using cross-customer data

A system and method for generating an alert regarding a potential attack is described. The method involves receiving data associated with previously analyzed or known malware attacks by a first network device. Additionally, the first network device receives an attack alert associated with an object analyzed and identified as suspicious by a second network device. The attack alert includes information associated with the suspicious object. For alert generation, at least a portion of the information of the attack alert is provided to a system configured to at least (i) extract feature(s) from the attack alert, (ii) determine similarities between the extracted features and features associated with the previously analyzed or known malware attacks to determine a result, (iv) compute an attack value based on the result and at least a portion of the extracted features including time-dependent and/or independent features, and (v) generate an alert based on the attack value.

Cyber attack early warning system

System and method for determining a threat based on correlation of indicators of compromise from other sources

An early warning system and method for generating an alert regarding a potential attack on a client device is provided for based on real-time analysis. The early warning system and method generally comprise receiving data associated with an attack alert, wherein the attack alert corresponds to an electrical signal that indicates detection of a malware attack from a remote source. The received data is analyzed using an attack-specific engine that is configured to generate an attack-specific result. An attack value is computed based on the attack-specific result and a consideration of potential attack targets, wherein the attack value is compared to a threshold value so as to determine whether or not to generate an early warning alert. An early warning alert is generated when the attack value matches or exceeds the threshold value.

According to one embodiment, a computerized method comprises receiving a set of indicators of compromise (IOCs) associated with a known malware of a first message type from a first source and receiving one or more IOCs (IOC(s)) from a second source that is different from the first source. Thereafter, a determination is made as to whether the received IOC(s) from the second source correspond to the set of IOCs received from the first source. If so, information associated with at least the set of IOCs is used to locate a malware of the first message type that is undetected at the second source.

Growing community of inventors

San Jose, CA, United States of America

Divyesh Mehra