System and method for omnichannel social engineering attack avoidance
AssigneeTelepathy Labs, Inc.
InventorsDamien Phelan Stolarz, Johanna Dwyer, Ronald J. Pollack
Life of this patent
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Abstract
A method, computer program product, and computer system for identifying social engineering activity associated with at least one of a first communication and a second communication based upon, at least in part, correlation to a predetermined rule. Characteristics of the communications are compared to the predetermined rule to determine if there is a correlation.
Claims17
A computer-implemented method comprising:
- identifying, by a computing device, a first characteristic of a first communication received on a first communication channel and sent on the first communication channel;
- identifying a second characteristic of a second communication received on a second communication channel, and sent on the second communication channel, wherein both the first communication channel and the second communication channel are different communication platforms;
- comparing, with a rule, both the first characteristic of the first communication received on the first communication channel and the second characteristic of the second communication received on the second communication channel;
- determining whether both the first characteristic of the first communication received on the first communication channel and the second characteristic of the second communication received on the second communication channel correlates to the rule by detecting a pattern between both the first communication received on the first communication channel and the second communication received on the second communication channel;
- and
- identifying, as potential social engineering activity, activity associated with at least one of the first communication or the second communication in response to both the first characteristic of the first communication received on the first communication channel and the second characteristic of the second communication received on the second communication channel correlates to the rule to detect the pattern, wherein identifying at least one of the first characteristic of the first communication received on the first communication channel or the second characteristic of the second communication received on the second communication channel includes one or more of voice analysis and text analysis, and further includes analyzing aggregated information about a user participating with one of the first communication channel and the second communication channel.
A computer program product residing on a non-transitory computer readable storage medium having a plurality of instructions stored thereon which, when executed across one or more processors, causes at least a portion of the one or more processors to perform operations comprising:
- identifying, by a computing device, a first characteristic of a first communication received on a first communication channel and sent on the first communication channel;
- identifying a second characteristic of a second communication received on a second communication channel, and sent on the second communication channel, wherein both the first communication channel and the second communication channel are different communication platforms;
- comparing, with a rule, both the first characteristic of the first communication received on the first communication channel and the second characteristic of the second communication received on the second communication channel;
- determining whether both the first characteristic of the first communication received on the first communication channel and the second characteristic of the second communication received on the second communication channel correlates to the rule by detecting a pattern between both the first communication received on the first communication channel and the second communication received on the second communication channel;
- and
- identifying, as potential social engineering activity, activity associated with at least one of the first communication or the second communication in response to both the first characteristic of the first communication received on the first communication channel and the second characteristic of the second communication received on the second communication channel correlates to the rule to detect the pattern, wherein identifying at least one of the first characteristic of the first communication received on the first communication channel or the second characteristic of the second communication received on the second communication channel includes one or more of voice analysis and text analysis, and further includes analyzing aggregated information about a user participating with one of the first communication channel and the second communication channel.
A computing system including one or more processors and one or more memories configured to perform operations comprising:
- identifying, by a computing device, a first characteristic of a first communication received on a first communication channel and sent on the first communication channel;
- identifying a second characteristic of a second communication received on a second communication channel, and sent on the second communication channel, wherein both the first communication channel and the second communication channel are different communication platforms;
- comparing, with a rule, both the first characteristic of the first communication received on the first communication channel and the second characteristic of the second communication received on the second communication channel;
- determining whether both the first characteristic of the first communication received on the first communication channel and the second characteristic of the second communication received on the second communication channel correlates to the rule by detecting a pattern between both the first communication received on the first communication channel and the second communication received on the second communication channel;
- and
- identifying, as potential social engineering activity, activity associated with at least one of the first communication or the second communication in response to both the first characteristic of the first communication received on the first communication channel and the second characteristic of the second communication received on the second communication channel correlates to the rule to detect the pattern, wherein identifying at least one of the first characteristic of the first communication received on the first communication channel or the second characteristic of the second communication received on the second communication channel includes one or more of voice analysis and text analysis, and further includes analyzing aggregated information about a user participating with one of the first communication channel and the second communication channel.
Dependencies are inferred from the claim text.