Biocatch Ltd.

Uri Rivner

Avi Turgeman

Yaron Lehmann

Itai Novick

Oren Kedem

Edo Dekel

Lev Kadyshevitch

Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a cyber-attacker. A user utilizes a desktop computer, a laptop computer, a smartphone, a tablet, or other electronic device, to interact with a banking website or application, a retailer website or application, or other computerized service. Input-unit interactions are monitored, logged, and analyzed. Based on several types of analysis of the input-unit interactions, a score is generated to reflect fraud-relatedness or attack-relatedness of the input-unit interactions. Based on the score, the system estimates or determines whether the user is an attacker, and initiates attack-mitigation operations or fraud-mitigation operations.

Method, device, and system of differentiating between a cyber-attacker and a legitimate user

Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a cyber-attacker. A user utilizes a desktop computer, a laptop computer, a smartphone, a tablet, or other electronic device, to interact with a banking website or application, a retailer website or application, or other computerized service. Input-unit interactions are monitored, logged, and analyzed. Based on several types of analysis of the input-unit interactions, a score is generated to reflect fraud-relatedness or attack-relatedness of the input-unit interactions. Based on the score, the system estimates or determines whether the user is an attacker, and initiates attach-mitigation operations or fraud-mitigation operations.

System, device, and method for behaviorally validated link analysis, session linking, transaction linking, transaction back-coloring, transaction forward-coloring, fraud detection, and fraud mitigation. A method includes: receiving an indicator of a seed transaction known to be fraudulent; selecting, from a database of transactions, multiple transactions that share at least one common property with the seed transaction; generating a list of candidate fraudulent transactions; filtering the candidate fraudulent transactions, by applying a transaction filtering rule that is based on one or more behavioral characteristics; and generating a filtered list of candidate fraudulent transactions.

Method, device, and system of back-coloring, forward-coloring, and fraud detection

Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a possible attacker. A log-in process or a user-authentication process, is augmented or enriched by one or more incidental tasks, which force the user to perform additional on-screen interactions or input-unit interactions, which in turn enrich and augment the pool of user interactions from which the system extracts one or more user-specific features. The extracted user-specific features are used as part of the user authentication process, and are further used to differentiate among users.

System, device, and method of visual login

System, device, and method of visual login and stochastic cryptography

Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a cyber-attacker. An end-user device interacts and communicates with a server of a computerized server (a banking website, an electronic commerce website, or the like). The interactions are monitored, tracked and logged. User Interface (UI) interferences or irregularities are introduced; and the server tracks the response or the reaction of the end-user to such interferences. The system determines whether the user is a legitimate user, or a cyber-attacker or automated script posing as the legitimate user. The system utilizes classification of users into classes or groups, to deduce or predict how a group-member would behave when accessing the service through a different type of device. The system identifies user-specific traits that are platform-independent and thus can be further monitored when the user switches from a first platform to a second platform.

Method, device, and system of differentiating among users based on user classification

Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a cyber-attacker. An end-user device (a desktop computer, a laptop computer, a smartphone, a tablet, or the like) interacts and communicates with a server of a computerized server (a banking website, an electronic commerce website, or the like). The interactions are monitored, tracked and logged. User Interface (UI) interferences are intentionally introduced to the communication session; and the server tracks the response or the reaction of the end-user to such communication interferences. The system determines whether the user is a legitimate human user; or a cyber-attacker posing as the legitimate human user. The system displays gauges indicating cyber fraud scores or cyber-attack threat-levels. The system extrapolates from observed fraud incidents and utilizes a rules engine to automatically search for similar fraud events and to automatically detect fraud events or cyber-attackers.

Method, device, and system of generating fraud-alerts for cyber-attacks

Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a possible attacker. The methods include monitoring of user-side input-unit interactions, in general and in response to an interference introduced to user-interface elements. The monitored interactions are used for detecting an attacker that utilizes a remote access channel; for detecting a malicious automatic script, as well as malicious code injection; to identify a particular hardware assembly; to perform user segmentation or user characterization; to enable a visual login process with implicit two-factor authentication; to enable stochastic cryptography; and to detect that multiple users are utilizing the same subscription account.

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Mazkeret Batya, Israel

Uri Rivner