Abstract: There are provided systems and methods for a voice vector framework that authenticates user interactions. A service provider server receives user interaction data having audio data that is associated with an interaction between a user device and the service provider server. The server extracts user attributes from the audio data and obtains user account information associated with the user device. The server selects a classifier that corresponds to a select combination of features based on the user account information and applies the classifier to the user attributes. The server generates a voice vector that includes multiple scores indicating likelihoods that a respective user attribute corresponds to an attribute of the select combination of features. The server compares the voice vector to a baseline vector corresponding to a predetermined combination of features and sends a notification to an agent device with an indication of whether the user device is verified.

Abstract: There are provided systems and methods for a voice vector framework that authenticates user interactions. A service provider server receives user interaction data having audio data that is associated with an interaction between a user device and the service provider server. The server extracts user attributes from the audio data and obtains user account information associated with the user device. The server selects a classifier that corresponds to a select combination of features based on the user account information and applies the classifier to the user attributes. The server generates a voice vector that includes multiple scores indicating likelihoods that a respective user attribute corresponds to an attribute of the select combination of features. The server compares the voice vector to a baseline vector corresponding to a predetermined combination of features and sends a notification to an agent device with an indication of whether the user device is verified.

Abstract: Systems and methods for abusive email account detection and transmission of a signed response to an abusive email account owner and provider. The methods include receiving an email from a first email account on a second email account, wherein the email contains malicious content, determining if a trust relationship exists between a first email server corresponding to the first email account and a second email server corresponding to the second email account, and transmitting, using a hardware processor of the second email server, an alert email to the first email account corresponding to the trust relationship, wherein the alert email includes a digital signature and a secure field having an abusive category descriptor in an email header. The secure field may include an abusive category descriptor, for example transmitting spam, transmitting malware, transmitting phishing attempts, and committing fraud.

Abstract: Systems and methods for abusive email account detection and transmission of a signed response to an abusive email account owner and provider. The methods include receiving an email from a first email account on a second email account, wherein the email contains malicious content, determining if a trust relationship exists between a first email server corresponding to the first email account and a second email server corresponding to the second email account, and transmitting, using a hardware processor of the second email server, an alert email to the first email account corresponding to the trust relationship, wherein the alert email includes a digital signature and a secure field having an abusive category descriptor in an email header. The secure field may include an abusive category descriptor, for example transmitting spam, transmitting malware, transmitting phishing attempts, and committing fraud.

Abstract: Systems and methods for abusive email account detection and transmission of a signed response to an abusive email account owner and provider. The methods include receiving an email from a first email account on a second email account, wherein the email contains malicious content, determining if a trust relationship exists between a first email server corresponding to the first email account and a second email server corresponding to the second email account, and transmitting, using a hardware processor of the second email server, an alert email to the first email account corresponding to the trust relationship, wherein the alert email includes a digital signature and a secure field having an abusive category descriptor in an email header. The secure field may include an abusive category descriptor, for example transmitting spam, transmitting malware, transmitting phishing attempts, and committing fraud.

Abstract: Systems and methods for abusive email account detection and transmission of a signed response to an abusive email account owner and provider. The methods include receiving an email from a first email account on a second email account, wherein the email contains malicious content, determining if a trust relationship exists between a first email server corresponding to the first email account and a second email server corresponding to the second email account, and transmitting, using a hardware processor of the second email server, an alert email to the first email account corresponding to the trust relationship, wherein the alert email includes a digital signature and a secure field having an abusive category descriptor in an email header. The secure field may include an abusive category descriptor, for example transmitting spam, transmitting malware, transmitting phishing attempts, and committing fraud.