The main objective of Certificate Transparency (CT) is to detect mis-issued certificates or rouge certificate authorities. It has been observed that phishing sites have been increasingly acquiring certificates to look more legitimate and reach more victims, thus providing an opportunity to predict phishing domains early. The present disclosure provides systems and methods for early detection of phishing and benign domain traces in CT logs. The provided system may predict phishing domains early even before content is available via time-, issuer-, and certificate-based characteristics that are used to identify sets of CT-based inexpensive and novel features. The CT-features are augmented with other features including passive DNS (pDNS) and domain-based lexical features.

An anomalous action security assessor is disclosed. An anomaly is received from a set of anomalies. A series of linked queries associated with the anomaly is presented to the user. The series of linked queries includes a base query and a subquery. The base query tests an attribute of the anomaly and resolves to a plurality of outcomes of the base query. The subquery is associated with an outcome of the plurality of outcomes of the base query. The series of linked queries finally resolve to one of tag the anomaly and dismiss the anomaly. A security alert is issued if the series of linked queries finally resolves to tag the anomaly.

To improve adaptation of network infrastructure to address rotations performed by wireless client device, embodiments provide for an exchange of a stable machine identifier (SMI) between a network access device and an authentication service. Some embodiments define a new SMI attribute that is included in a authentication service access-request and/or access-accept message. When a network access device obtains an SMI for a particular wireless client device, the network access device passes the SMI to the authentication service. Similarly, if an authentication service obtains a SMI value for a wireless client device, this information is provided to a network access device.

A method includes enabling a messaging server and providing credentials for the messaging server. A computing system is enabled and a malware application is received by the computing system. The malware application is executed by the computing system. The credentials are rendered accessible to the malware application via the computing system, and the malware application is enabled to transmit the credentials via network transmission from the computing system to a computer. An actor is enabled to access the messaging server over a network in response to the actor applying the credentials, and a first electronic message transmitted by the actor is received by the messaging server, the first electronic message including first content.

Techniques are disclosed relate to systems, methods, and non-transitory computer readable media for implementing a browser extension for cyber threat intelligence and response. One system to perform operations comprising: scanning, in a sandbox of a browser by a browser extension, at least part of a web page to produce a set of items of interests; transmitting the set of items of interests to a cloud-based enrichment and analysis of cybersecurity threat intelligence system to request information on the set of items; receiving a response from the cloud-based enrichment and analysis of cybersecurity threat intelligence system, the response including a scan result based on the transmitted set of items of interests, and the scan result including at least one of an indicator of compromise of the at least scanned part of the web page; and displaying the scan results including the at least one of an indicator of compromise.

Various aspects involve determining legitimacy of an email address for risk assessment or other purposes. For instance, a risk assessment computing system receives a risk assessment query that identifies an email address. The risk assessment computing system determines a set of features for the email address. For each feature, the risk assessment computing system calculates an illegitimacy score by calculating a deviation of the feature from an expected safe value for the feature that is determined from historical email addresses. The risk assessment computing system aggregates the illegitimacy scores of the plurality of features into an aggregated illegitimacy score and further transmits a legitimacy risk value to a remote computing system. The legitimacy risk value indicates the aggregated illegitimacy score and can be used in controlling access of a computing device associated with the email address to one or more interactive computing environments.

Aspects of the disclosure relate to identifying legitimate websites and removing false positives from domain discovery analysis. Based on a list of known legitimate domains, a computing platform may generate a baseline dataset of feature vectors corresponding to the known legitimate domains. Subsequently, the computing platform may receive information identifying a first domain for analysis and may execute one or more machine learning algorithms to compare the first domain to the baseline dataset. Based on execution of the one or more machine learning algorithms, the computing platform may generate first domain classification information indicating that the first domain is a legitimate domain. In response to determining that the first domain is a legitimate domain, the computing platform may send one or more commands directing a domain identification system to remove the first domain from a list of indeterminate domains maintained by the domain identification system.

Methods and systems are presented for assessing a veracity of device attributes obtained from a computer device based on estimating a number of processing cycles used by the computer device to perform a particular function. In response to receiving a transaction request from the computer device, software programming instructions are transmitted to the computer device for obtaining device attributes of the computer device. The software programming instructions may also include code that estimate a number of processing cycles used by the computer to perform a particular function. The particular function may be associated with obtaining at least one of the device attributes of the computer device. The estimated number of processing cycles may be compared against a benchmark profile. A risk associated with the transaction request is determined based on the comparing.

An authentication system includes an authentication module and a user history database storing order information that includes, for each of multiple logins of the first user to a web property, at least one of: an indication of an order of hypertext transfer protocol (HTTP) headers that were previously received at the authentication module during the login, and an indication of an order of navigator object properties that were previously returned to the authentication module during the login. The authentication module is configured to: receive, from a web browser of a first entity attempting to log in to the web property, credentials of the first user; determine order information of the first entity's web browser; perform a comparison operation based on the order information of the first user and that of the first entity, and determine whether to allow the first entity to log in based on the comparison operation.

Generally described, one or more aspects of the present application correspond to a content validation system. A content validation service receives visual secret request information from browser applications on user devices. The content validation service provides visual secret information to be rendered with received content. The browser application then transmits a snapshot of content to be rendered including a representation of the visual secret information to a content validation service for validation.