Detection of computerized bots and automated cyber-attack modules

A method comprising:

• (A) detecting an automated malware that emulates human interactions with a computerized service;
• wherein the detecting of step (A) comprises:
• (a) monitoring input-unit interactions of an electronic device that is utilized by a user to interact with said computerized service;
• (b) injecting an input-output aberration into a web-page, and monitoring whether manual corrective actions were manually performed in response to the input-output aberration;
• (c) analyzing said input-unit interactions;
• (d) determining that it is humanly-impossible for a human to perform said input-user interactions;
• (e) based on the determining of step (d), determining that said input-unit interactions were necessarily performed by said automated script that emulates human interactions, and not by a human user;
• wherein the method comprises:
• (i) monitoring key-down events, and key-up events, during a usage session in which said electronic device exhibits reception of keyboard input;
• (ii) determining that the number of key-down events does not match the number of key-up events, during said usage session;
• (iii) based on step (ii), determining that said input-unit interactions were necessarily performed by said automated script that emulates human interactions, and not by a human user.

A method comprising:

• (A) detecting an automated malware that emulates human interactions with a computerized service;
• wherein the detecting of step (A) comprises:
• (a) monitoring input-unit interactions of an electronic device that is utilized by a user to interact with said computerized service;
• (b) injecting an input-output aberration into a web-page, and monitoring whether manual corrective actions were manually performed in response to the input-output aberration;
• (c) analyzing said input-unit interactions;
• (d) determining that it is humanly-impossible for a human to perform said input-user interactions;
• (e) based on the determining of step (d), determining that said input-unit interactions were necessarily performed by said automated script that emulates human interactions, and not by a human user;
• wherein the method comprises:
• (i) monitoring key-down events, and monitoring key-up events, during a usage session in which said electronic device exhibits reception of keyboard input;
• (ii) determining that the order of the key-down events and the key-up events, during said usage session, does not match an expected order of key-down events and key-up events that is expected to be observed if an input unit of said electronic device is utilized for typing by a human user;
• (iii) based on step (ii), determining that said input-unit interactions were necessarily performed by said automated script that emulates human interactions, and not by a human user.

A method comprising:

• (A) detecting an automated malware that emulates human interactions with a computerized service;
• wherein the detecting of step (A) comprises:
• (a) monitoring input-unit interactions of an electronic device that is utilized by a user to interact with said computerized service;
• (b) injecting an input-output aberration into a web-page, and monitoring whether manual corrective actions were manually performed in response to the input-output aberration;
• (c) analyzing said input-unit interactions;
• (d) determining that it is humanly-impossible for a human to perform said input-user interactions;
• (e) based on the determining of step (d), determining that said input-unit interactions were necessarily performed by said automated script that emulates human interactions, and not by a human user;
• wherein the method comprises:
• (i) continuously monitoring mouse events, during a usage session in which said electronic device exhibits reception of mouse-based input;
• (ii) determining that during a first period of time within said usage session, the monitored mouse events exhibit a first sampling rate;
• (iii) determining that during a second period of time within said usage session, the monitored mouse events exhibit a second, different, sampling rate;
• (iv) based on steps (ii) and (iii), determining that said electronic device is necessarily controlled by an automated module, and not by a legitimate human user.

A method comprising:

• (A) detecting an automated malware that emulates human interactions with a computerized service;
• wherein the detecting of step (A) comprises:
• (a) monitoring input-unit interactions of an electronic device that is utilized by a user to interact with said computerized service;
• (b) injecting an input-output aberration into a web-page, and monitoring whether manual corrective actions were manually performed in response to the input-output aberration;
• (c) analyzing said input-unit interactions;
• (d) determining that it is humanly-impossible for a human to perform said input-user interactions;
• (e) based on the determining of step (d), determining that said input-unit interactions were necessarily performed by said automated script that emulates human interactions, and not by a human user;
• wherein the method comprises:
• (i) continuously monitoring keyboard events, during a usage session in which said electronic device exhibits reception of keyboard-based input;
• (ii) determining that during a first period of time within said usage session, the monitored keyboard events exhibit a first sampling rate;
• (iii) determining that during a second period of time within said usage session, the monitored keyboard events exhibit a second, different, sampling rate;
• (iv) based on steps (ii) and (iii), determining that said electronic device is necessarily controlled by an automated attacking module, and not by a legitimate human user.

A method comprising:

• (A) detecting an automated malware that emulates human interactions with a computerized service;
• wherein the detecting of step (A) comprises:
• (a) monitoring input-unit interactions of an electronic device that is utilized by a user to interact with said computerized service;
• (b) injecting an input-output aberration into a web-page, and monitoring whether manual corrective actions were manually performed in response to the input-output aberration;
• (c) analyzing said input-unit interactions;
• (d) determining that it is humanly-impossible for a human to perform said input-user interactions;
• (e) based on the determining of step (d), determining that said input-unit interactions were necessarily performed by said automated script that emulates human interactions, and not by a human user;
• wherein the method comprises:
• (i) detecting that an input-unit level of the electronic device reports that a message of M characters was manually entered via an input-unit of the electronic device;
• (ii) detecting that said electronic device sends to a remote server, an outgoing message of N characters that was allegedly typed on said electronic device, wherein N is different than M;
• (iii) based on the determining of steps (i) and (ii), further determining that said electronic device is necessarily controlled by an automated module, and not by a legitimate human user.

A method comprising:

• (A) detecting an automated script that emulates human interactions with a computerized service;
• wherein the detecting of step (A) comprises:
• (a) monitoring input-unit interactions of an electronic device that is utilized by a user to interact with said computerized service;
• (b) allocating to each monitored input-unit interaction, a respective score-value that quantifies, on a scale of M to N, how difficult it is for a human user to perform said input-unit interaction;
• (c) determining a weighted score that corresponds to a set of multiple monitored input-user interactions, based on the respective score-value of each one of said multiple monitored input-user interactions;
• (d) if said weighted score is greater than a threshold value, then determining that said set of multiple monitored input-unit interactions were necessarily performed by said automated script, and not by a human user.