Abstract: Systems and methods for determining a user's presence on a network of an enterprise are provided. Traffic is collected to a network from devices and, over a period of time, login and logoff information from a user is determined from the collected network traffic. Network sessions are determined from a user's login and logoff information and timetable is generated specific to the user that contains the network sessions. The time table identifies when the user was active and when the user was not active based on the login and logoff information and, therefore, present at a particular location over a period of time.

Abstract: The techniques disclosed herein identify ransomware attacks as they are occurring, improving the security and functionality of computer systems. Ransomware attacks are identified using a new probabilistic machine learning model that better handles the unique properties of ransomware data. Ransomware data includes a list of computing operations, some of which are labeled as being associated with ransomware attacks. In contrast to deterministic machine learning techniques that learn weights, probabilistic machine learning techniques learn the parameters of a distribution function. In some configurations, a radial Spike and Slab distribution function is used within a Bayesian neural network framework to better handle sparse, missing, and imbalanced data. Once trained, the machine learning model may be provided with real-time operations, e.g., from a cloud service security module, from which to infer whether a ransomware attack is taking place.

Abstract: A target system is verified against one or more security threats. A selection of a threat type for an attack vector for verifying defensive capabilities of a target system is received via a user interface. A selection of one or more selectable parameters for delivery of the threat type to the target system is received via the user interface. In response to selection of the threat type and the selected parameters, a base binary executable and a library comprising functions for generating attack vectors is accessed. One or more functions from the library are added to the base binary executable based on the selected threat type and the selected parameters. A payload is generated that implements the selected threat type and the selected parameters in a delivery format based on the selected parameters.

Abstract: A system for detecting directory reconnaissance in a directory service includes a sensor and a directory reconnaissance detector, each of which is executing on one or more computing devices. The sensor determines whether a query that is submitted to a directory server is a suspicious query and, if the query is determined to be a suspicious query, transmits the suspicious query to the directory reconnaissance detector. The director reconnaissance detector includes a receiver, a context obtainer, an alert determiner and an alert transmitter. The receiver receives the suspicious query from the sensor and the context obtainer obtains context information associated with the suspicious query. The alert determiner determines whether a security alert should be generated based at least on the suspicious query and the context information. The alert transmitter generates the security alert responsive to a determination that the security alert should be generated.

Abstract: Cybersecurity is enhanced to detect credential spray attacks. Accounts with access failure events are divided into buckets B1 . . . BN based on access failure count ranges R1 . . . RN. For instance, accounts with one logon failure may go in B1, accounts with two failures in B2, etc. Buckets will thus have account involvement extents E1 . . . EN, which are compared to thresholds T1 . . . TN. An intrusion detection tool generates an alert when some Ei hits its Ti. Detection may spot any credential sprays, not merely password sprays. False positives may be reduced by excluding items from consideration, such as logon attempts using old passwords. False positives and false negatives may be balanced by tuning threshold parameters. Breached accounts may be found. Detection may also permit other responses, such as attack disruption, harm mitigation, and attacker identification. Credential spray attack detection may be combined with other security mechanisms for defense in depth of cloud and other network accounts.

Abstract: The threat of malicious parties exposing users' credentials from one system and applying the exposed credentials to a different system to gain unauthorized access is addressed in the present disclosure by systems and methods to preemptively and reactively mitigate the risk of users reusing passwords between systems. A security device passively monitors traffic comprising authorization requests within a network to reactively identify an ongoing attack based on its use of exposed credentials in the authorization request and identifies accounts that are vulnerable to attacks using exposed credentials by actively attempting to log into those accounts with exposed passwords from other networks. The systems and methods reduce the number of false positives associated with attack identification and strengthens the network against potential attacks, thus improving the network's security and reducing the amount of resources needed to securely manage the network.

Abstract: Embodiments are directed to monitoring local users' activity without installing an agent on a monitored machine. Periodic scans of the local users' directory using the standard protocol messages and APIs of a remote admin interface provide access to local machine data. Using the remote admin interface, defenders gain visibility to local users' logons, group membership, password changes, and other parameters. Security applications enabled by this visibility include, but are not limited to, abnormal logons detection, abnormal group addition and removal detection, and abnormal password changes detection.

Abstract: A system for detecting directory reconnaissance in a directory service includes a sensor and a directory reconnaissance detector, each of which is executing on one or more computing devices. The sensor determines whether a query that is submitted to a directory server is a suspicious query and, if the query is determined to be a suspicious query, transmits the suspicious query to the directory reconnaissance detector. The director reconnaissance detector includes a receiver, a context obtainer, an alert determiner and an alert transmitter. The receiver receives the suspicious query from the sensor and the context obtainer obtains context information associated with the suspicious query. The alert determiner determines whether a security alert should be generated based at least on the suspicious query and the context information. The alert transmitter generates the security alert responsive to a determination that the security alert should be generated.

Abstract: Cybersecurity is enhanced to detect credential spray attacks. Accounts with access failure events are divided into buckets B1 . . . BN based on access failure count ranges R1 . . . RN. For instance, accounts with one logon failure may go in B1, accounts with two failures in B2, etc. Buckets will thus have account involvement extents E1 . . . EN, which are compared to thresholds T1 . . . TN. An intrusion detection tool generates an alert when some Ei hits its Ti. Detection may spot any credential sprays, not merely password sprays. False positives may be reduced by excluding items from consideration, such as logon attempts using old passwords. False positives and false negatives may be balanced by tuning threshold parameters. Breached accounts may be found. Detection may also permit other responses, such as attack disruption, harm mitigation, and attacker identification. Credential spray attack detection may be combined with other security mechanisms for defense in depth of cloud and other network accounts.

Abstract: According to examples, an apparatus for managing alerts pertaining to additions of users to a user group in a computer network may include a processor and a memory, which may have stored thereon machine readable instructions that are to cause the processor to, during a learning period, identify an entity that added a user to the user group during the learning period and enter an identification of the identified entity into an allowed entity list for the user group. Following the learning period, the instructions are to cause the processor to identify a user addition event that indicates that an adding entity added another user to the user group, determine whether the adding entity is in the allowed entity list, and manage issuance of an alert regarding the user addition event based upon whether the adding entity is in the allowed entity list to reduce a number of issued alerts.

Abstract: There is provided a method for detecting a malicious attempt to access a service providing server using credentials of a client terminal in a network, the method performed by a malicious event detection server analyzing packets transmitted over the network, comprising: analyzing at least one login-credential associated with an attempt to obtain authentication to access the service providing server to determine whether the login-credential matches an invalid login-credential included in a set of honeytoken-credentials, wherein the set of honeytoken-credentials is stored on a local memory of the client terminal, wherein the set of honeytoken-credentials includes the invalid login-credential and a valid login-credential, wherein the invalid login-credential is invalid for authentication of the client terminal to access the service providing server and the valid login-credential is valid for authentication of the client terminal to access the service providing server; and identifying a malicious event when the lo

Abstract: The network logon protocol used in a pass-through authentication request embedded in an encrypted network packet is identified. A protocol detection engine correlates events and network requests received at a domain controller in order to use the data contained in a correlated pair to determine a size of a challenge response in the encrypted network packet. The size of the response is used to identify the network logon protocol used in the pass-through authentication request.

Abstract: There is provided a method for detecting a malicious attempt to access a service providing server using credentials of a client terminal in a network, the method performed by a malicious event detection server analyzing packets transmitted over the network, comprising: analyzing at least one login-credential associated with an attempt to obtain authentication to access the service providing server to determine whether the login-credential matches an invalid login-credential included in a set of honeytoken-credentials, wherein the set of honeytoken-credentials is stored on a local memory of the client terminal, wherein the set of honeytoken-credentials includes the invalid login-credential and a valid login-credential, wherein the invalid login-credential is invalid for authentication of the client terminal to access the service providing server and the valid login-credential is valid for authentication of the client terminal to access the service providing server; and identifying a malicious event when the lo

Abstract: The threat of malicious parties exposing users' credentials from one system and applying the exposed credentials to a different system to gain unauthorized access is addressed in the present disclosure by systems and methods to preemptively and reactively mitigate the risk of users reusing passwords between systems. A security device passively monitors traffic comprising authorization requests within a network to reactively identify an ongoing attack based on its use of exposed credentials in the authorization request and identifies accounts that are vulnerable to attacks using exposed credentials by actively attempting to log into those accounts with exposed passwords from other networks. The systems and methods reduce the number of false positives associated with attack identification and strengthens the network against potential attacks, thus improving the network's security and reducing the amount of resources needed to securely manage the network.

Abstract: The network logon protocol used in a pass-through authentication request embedded in an encrypted network packet is identified. A protocol detection engine correlates events and network requests received at a domain controller in order to use the data contained in a correlated pair to determine a size of a challenge response in the encrypted network packet. The size of the response is used to identify the network logon protocol used in the pass-through authentication request.

Abstract: According to examples, an apparatus for managing alerts pertaining to additions of users to a user group in a computer network may include a processor and a memory, which may have stored thereon machine readable instructions that are to cause the processor to, during a learning period, identify an entity that added a user to the user group during the learning period and enter an identification of the identified entity into an allowed entity list for the user group. Following the learning period, the instructions are to cause the processor to identify a user addition event that indicates that an adding entity added another user to the user group, determine whether the adding entity is in the allowed entity list, and manage issuance of an alert regarding the user addition event based upon whether the adding entity is in the allowed entity list to reduce a number of issued alerts.

Abstract: The threat of malicious parties exposing users' credentials from one system and applying the exposed credentials to a different system to gain unauthorized access is addressed in the present disclosure by systems and methods to preemptively and reactively mitigate the risk of users reusing passwords between systems. A security device passively monitors traffic comprising authorization requests within a network to reactively identify an ongoing attack based on its use of exposed credentials in the authorization request and identifies accounts that are vulnerable to attacks using exposed credentials by actively attempting to log into those accounts with exposed passwords from other networks. The systems and methods reduce the number of false positives associated with attack identification and strengthens the network against potential attacks, thus improving the network's security and reducing the amount of resources needed to securely manage the network.

Abstract: There is provided a method for detecting a malicious attempt to access a service providing server using credentials of a client terminal in a network, the method performed by a malicious event detection server analyzing packets transmitted over the network, comprising: analyzing at least one login-credential associated with an attempt to obtain authentication to access the service providing server to determine whether the login-credential matches an invalid login-credential included in a set of honeytoken-credentials, wherein the set of honeytoken-credentials is stored on a local memory of the client terminal, wherein the set of honeytoken-credentials includes the invalid login-credential and a valid login-credential, wherein the invalid login-credential is invalid for authentication of the client terminal to access the service providing server and the valid login-credential is valid for authentication of the client terminal to access the service providing server; and identifying a malicious event when the lo

Abstract: The present disclosure is directed to systems, methods and devices for determining computer ownership in a distributed computer network associated with a directory service. Username similarity between username textual attributes and a computer's associated account management name may be determined. Network traffic information and event logs may be analyzed and determinations regarding local behavior and user behavior relating to a plurality of computers on a distributed computer network may be made. Local user data and an owner candidate list may be generated therefrom. Directory service data, including ownership attributes, may be analyzed to determine whether a user is the owner of a computer.

Abstract: Systems and methods for determining a user's presence on a network of an enterprise are provided. Traffic is collected to a network from devices and, over a period of time, login and logoff information from a user is determined from the collected network traffic. Network sessions are determined from a user's login and logoff information and timetable is generated specific to the user that contains the network sessions. The time table identifies when the user was active and when the user was not active based on the login and logoff information and, therefore, present at a particular location over a period of time.