KnowBe4, Inc.

Systems and methods are described for detecting a simulated phishing message by an email client plug-in. A unique key is received at the email client plug-in. An indication that an email was reported by a user as a suspicious message is received at the email client plug-in. The email is a simulated phishing message having the unique key mapped by cryptographic hashing function into a hash value in a predetermined field in the header of the simulated phishing message. The presence of the predetermined field is detected and the hash value in the predetermined field is compared to a result of applying cryptographic hashing function to the unique key received by the email client plug-in. Responsive to being matched to the result, it is determined that the suspicious message is a simulated phishing message generated by a server.

Methods and systems are described in which a system provides a user interface to confirm whether to review or take an action associated with an untrusted email. A driver on a device monitors the startup of any processes. Responsive to monitoring, the driver detects an application process that was created that indicates than an application was launched, and notifies a user console about the creation of the application process. The user console determines if the application process is of significance, if so, it injects a monitor library into the process. Once injected into the process, the monitor library detects if the application process receives an action of a user to access a domain that is not identified as trusted. The monitor library notifies the user console of the user's URL-access request.

Systems and methods are described for determination of indicators of malicious elements within messages. A report of a malicious message is received from a user of an organization, the malicious message having traversed an endpoint security system of the organization. After receiving the report of the malicious message, one or more indicators of one or more malicious elements of the malicious message are identified. Further, an identification of the endpoint security system and a dangerousness score of the malicious message are determined. The one or more indicators, the identification of the endpoint security system, and the dangerousness score are stored into a threat database that is able to be queried to generate an endpoint-specific threat data set.

Systems and methods are described for identifying other instances of messages corresponding to a reported malicious message. A report of a malicious message from a user of a plurality users using a messaging system is received. Responsive to the report of the malicious message, plain text of content selected from the malicious message is provided. Thereafter, one or more segments of the plain text are selected as key content for construction of a search. A search is then executed in the messaging system for one or more other malicious messages corresponding to the reported malicious message using the selected one or more segments of the plain text with one or more match criteria or no criteria. The one or more other malicious messages corresponding to the reported malicious message are identified in the messaging system.

Systems and methods are described for leveraging the knowledge and security awareness of well-informed users in an organization to protect other users and train them to identify new phishing attacks. Initially, a report of a message being suspicious may be identified and it may be determined whether message is a malicious phishing message. In an example, a well-informed user of an organization may report the message as suspicious. Further, on determining the message to be a malicious phishing message, a simulated phishing message or a template may be created. The simulated phishing message may then be communicated to one or more devices of one or more users.

Systems and methods are described for mitigating false positives in a simulated phishing campaign. A simulated phishing message reported to second security awareness system by a user as suspicious is received by first security awareness system. The reported message includes a link that has been followed. Link data of followed link of the reported message is held in click cache having predetermined delay. Post the predetermined delay, whether the link was followed by second security awareness system instead of being clicked by user responsive to identifying that link data in click cache corresponds to link data in link cache or internet protocol (IP) address of an entity that follows a link corresponds to IP address stored in IP cache known to be associated with second security awareness system. Responsive to determination, second security awareness system's following of link of the reported message is excluded as interaction of the user.

Systems and methods are described herein for global blocklist curation based on crowdsourced indicators of compromise (IoC). One or more servers store the messages reported as suspicious into a message collection system. The server(s) classify he messages as one of clean, spam or threat. The server(s)) tag the messages responsive to the classification and determine a plurality of IoC from the messages classified and tagged as a threat. The server(s) determine one or more metrics for each of the plurality of IoC and selected, based at least on the one or more metrics, one or more of the plurality of IoC as blocklist entry (BLE) candidates.

Described herein are systems and methods to provide for blocklist recommendations based on reported threats. In an example embodiment, a method is described for receiving a selection of one or more messages from a plurality of messages identified as threats and identifying, based at least on the one or more messages, one or more candidate blocklist entries (BLEs). The method further includes determining, based at least on the one or more candidate BLEs, a recommendation of one or more BLEs to add to a blocklist. The method includes adding, by the one or more servers, the one or more BLEs to the blocklist, where the blocklist is used by an email system to block messages that match at least the one or more BLEs on the blocklist.

Systems and methods are described for modifying one or more advertisements of a webpage or a social media feed to create a simulated cybersecurity attack. Initially, content responsive to a request by a user via a user device to access a webpage or social media feed with one or more advertisements is received. One or more advertisements are detected within the content. An advertisement of the one or more advertisements is modified or replaced with simulated cybersecurity attack advertisements. The webpage or social media feed with the modified advertisement is displayed to the user device. User interactions with the simulated cybersecurity attack content are tracked and training is provided based on user interactions.

Systems and methods are disclosed that minimize ongoing risk to an organization from user behaviors which magnify the severity of a spoofed domain. Systems and method are provided which enable an entity and users of an entity to identify potential harmful domains, combining search, discovery, reporting, the generation of risk indicators, end-user risk assessments, and training into a security awareness system.