Abstract: A system includes one or more “BotMagnet” modules that are exposed to infection by malicious code. The BotMagnets may include one or more virtual machines hosing operating systems in which malicious code may be installed and executed without exposing sensitive data or other parts of a network. In particular, outbound traffic may be transmitted to a Sinkhole module that implements a service requested by the outbound traffic and transmits responses to the malicious code executing within the BotMagnet. Dark space in a network (unused IP addresses, unused ports and absent applications, and invalid usernames and passwords) is consumed by a BotSink such that attempts to access Darkspace resources will be directed to the BotSink, which will engage the source host of such attempts.

Abstract: Technologies for securing communication may include monitoring a secured network connection between a client and a server. The secured network connection may be secured using a symmetric cryptographic key. The technologies may also include detecting a transmission of secured information between the client and the server, copying the transmission, forwarding the transmission to an intended recipient, decrypting the transmission using the symmetric cryptographic key, and determining whether the transmission is indicative of malware.

Abstract: Techniques for destination domain extraction for secure protocols are disclosed. In some embodiments, destination domain extraction for secure protocols includes monitoring network communications between a client and a remote server; determining if the client sends a request to create a secure connection with the remote server (e.g., in which the network communications are initiating a setup for a secure protocol-based connection); and extracting a destination domain from the request to create the secure connection with the remote server. In some embodiments, the secure protocol is a secure sockets layer (SSL) protocol or transport layer security (TLS) protocol, and the destination domain is extracted from the server name indication (SNI) of a client hello message sent from the client to the remote server. In some embodiments, destination domain extraction for secure protocols further includes applying a policy (e.g.

Abstract: An apparatus, computer readable medium, and method are provided in one example embodiment and include a network device, an analysis module, and a tag module. The analysis module may be configured to perform a number of actions on the network data to identify network information about the network data. The tag module may be configured to determine whether a destination for the network data is within a set of destinations; and responsive to a determination that the destination for the network data is within the set of destinations: generate a metadata tag based on the network information, associate the metadata tag with the network data, and transmit the network information and the metadata tag.

Abstract: Techniques for destination domain extraction for secure protocols are disclosed. In some embodiments, destination domain extraction for secure protocols includes monitoring network communications between a client and a remote server; determining if the client sends a request to create a secure connection with the remote server (e.g., in which the network communications are initiating a setup for a secure protocol-based connection); and extracting a destination domain from the request to create the secure connection with the remote server. In some embodiments, the secure protocol is a secure sockets layer (SSL) protocol or transport layer security (TLS) protocol, and the destination domain is extracted from the server name indication (SNI) of a client hello message sent from the client to the remote server. In some embodiments, destination domain extraction for secure protocols further includes applying a policy (e.g.

Abstract: A system includes one or more “BotMagnet” modules that are exposed to infection by malicious code. The BotMagnets may include one or more virtual machines hosing operating systems in which malicious code may be installed and executed without exposing sensitive data or other parts of a network. In particular, outbound traffic may be transmitted to a Sinkhole module that implements a service requested by the outbound traffic and transmits responses to the malicious code executing within the BotMagnet. The Sinkhole module may implement a proxy mode in which traffic received by the Sinkhole module is transmitted to a destination specified in the traffic but modified to reference the Sinkhole as the source. Events occurring on the BotMagnet and Sinkhole are correlated and used to characterize the malicious code. The characterization may be transmitted to other computer systems in order to detect instances of the malicious code.

Abstract: An example method includes identifying a transport layer security (TLS) session between a client and a server, parsing one or more TLS messages to identify a session ticket associated with the session, transforming the session ticket into a fixed size session token, and managing the session using the session token to identify the session. The transforming may include computing a hash value of the session ticket using a hashing algorithm. If any of the TLS messages is spread across more than one TLS protocol record, the method can include computing a hash value of a portion of the session ticket encountered in a TLS protocol record using a hashing algorithm, incrementally computing another hash value of another portion of the session ticket encountered in a subsequent TLS protocol record from the previously computed hash value, and repeating the incremental computing until portions of the session ticket have been processed.

Abstract: Techniques for destination domain extraction for secure protocols are disclosed. In some embodiments, destination domain extraction for secure protocols includes monitoring network communications between a client and a remote server; determining if the client sends a request to create a secure connection with the remote server (e.g., in which the network communications are initiating a setup for a secure protocol-based connection); and extracting a destination domain from the request to create the secure connection with the remote server. In some embodiments, the secure protocol is a secure sockets layer (SSL) protocol or transport layer security (TLS) protocol, and the destination domain is extracted from the server name indication (SNI) of a client hello message sent from the client to the remote server. In some embodiments, destination domain extraction for secure protocols further includes applying a policy (e.g.

Abstract: A system of client devices and a server system implementing services makes use of credentials to facilitate authentication of the client devices with the server and generates log entries for different accesses to the server system. A monitoring system places credentials and log entries referencing the monitoring system with the credentials and log entries on the client devices without any authentication or actual access attempts by the client devices to the monitoring system. Unauthorized access to the client devices may result in the credentials and log entries to the monitoring system being accessed and used to access the monitoring system. Attempts to exploit the monitoring system using the credentials and log entries is contained within the monitoring system and data is collected to characterize malicious code attempting to exploit the monitoring system. The data is then used to prevent attacks and detect compromised client devices and server systems.

Abstract: A system includes one or more “BotMagnet” modules that are exposed to infection by malicious code. The BotMagnets may include one or more virtual machines hosing operating systems in which malicious code may be installed and executed without exposing sensitive data or other parts of a network. In particular, outbound traffic may be transmitted to a Sinkhole module that implements a service requested by the outbound traffic and transmits responses to the malicious code executing within the BotMagnet. Dark space in a network (unused IP addresses, unused ports and absent applications, and invalid usernames and passwords) is consumed by a BotSink such that attempts to access Darkspace resources will be directed to the BotSink, which will engage the source host of such attempts.

Abstract: Techniques for destination domain extraction for secure protocols are disclosed. In some embodiments, destination domain extraction for secure protocols includes monitoring network communications between a client and a remote server; determining if the client sends a request to create a secure connection with the remote server (e.g., in which the network communications are initiating a setup for a secure protocol-based connection); and extracting a destination domain from the request to create the secure connection with the remote server. In some embodiments, the secure protocol is a secure sockets layer (SSL) protocol or transport layer security (TLS) protocol, and the destination domain is extracted from the server name indication (SNI) of a client hello message sent from the client to the remote server. In some embodiments, destination domain extraction for secure protocols further includes applying a policy (e.g.

Abstract: Techniques for destination domain extraction for secure protocols are disclosed. In some embodiments, destination domain extraction for secure protocols includes monitoring network communications between a client and a remote server; determining if the client sends a request to create a secure connection with the remote server (e.g., in which the network communications are initiating a setup for a secure protocol-based connection); and extracting a destination domain from the request to create the secure connection with the remote server. In some embodiments, the secure protocol is a secure sockets layer (SSL) protocol or transport layer security (TLS) protocol, and the destination domain is extracted from the server name indication (SNI) of a client hello message sent from the client to the remote server. In some embodiments, destination domain extraction for secure protocols further includes applying a policy (e.g.

Abstract: An apparatus, computer readable medium, and method are provided in one example embodiment and include a network device, an analysis module, and a tag module. The analysis module may be configured to perform a number of actions on the network data to identify network information about the network data. The tag module may be configured to determine whether a destination for the network data is within a set of destinations; and responsive to a determination that the destination for the network data is within the set of destinations: generate a metadata tag based on the network information, associate the metadata tag with the network data, and transmit the network information and the metadata tag.

Abstract: A system includes one or more “BotMagnet” modules that are exposed to infection by malicious code. The BotMagnets may include one or more virtual machines hosing operating systems in which malicious code may be installed and executed without exposing sensitive data or other parts of a network. In particular, outbound traffic may be transmitted to a Sinkhole module that implements a service requested by the outbound traffic and transmits responses to the malicious code executing within the BotMagnet. Requests by a user system for a resource at a URL may be received by a firewall, a honey client module may access the URL and permit installation of malicious code or other malicious activities. In response to detecting malicious activities, the honey client module characterizes the malicious activity to generate a descriptor used to detect malicious code in other systems. The URL may also be blacklisted by the firewall.

Abstract: An example method includes identifying a transport layer security (TLS) session between a client and a server, parsing one or more TLS messages to identify a session ticket associated with the session, transforming the session ticket into a fixed size session token, and managing the session using the session token to identify the session. The transforming may include computing a hash value of the session ticket using a hashing algorithm. If any of the TLS messages is spread across more than one TLS protocol record, the method can include computing a hash value of a portion of the session ticket encountered in a TLS protocol record using a hashing algorithm, incrementally computing another hash value of another portion of the session ticket encountered in a subsequent TLS protocol record from the previously computed hash value, and repeating the incremental computing until portions of the session ticket have been processed.

Abstract: An apparatus, computer readable medium, and method are provided in one example embodiment and include a network device, an analysis module, and a tag module. The analysis module may be configured to perform a number of actions on the network data to identify network information about the network data. The tag module may be configured to determine whether a destination for the network data is within a set of destinations; and responsive to a determination that the destination for the network data is within the set of destinations: generate a metadata tag based on the network information, associate the metadata tag with the network data, and transmit the network information and the metadata tag.

Abstract: A system includes one or more “BotMagnet” modules that are exposed to infection by malicious code. The BotMagnets may include one or more virtual machines hosing operating systems in which malicious code may be installed and executed without exposing sensitive data or other parts of a network. In particular, outbound traffic may be transmitted to a Sinkhole module that implements a service requested by the outbound traffic and transmits responses to the malicious code executing within the BotMagnet. The Sinkhole module may implement a proxy mode in which traffic received by the Sinkhole module is transmitted to a destination specified in the traffic but modified to reference the Sinkhole as the source. Events occurring on the BotMagnet and Sinkhole are correlated and used to characterize the malicious code. The characterization may be transmitted to other computer systems in order to detect instances of the malicious code.

Abstract: A system includes one or more “BotMagnet” modules that are exposed to infection by malicious code. The BotMagnets may include one or more virtual machines hosing operating systems in which malicious code may be installed and executed without exposing sensitive data or other parts of a network. In particular, outbound traffic may be transmitted to a Sinkhole module that implements a service requested by the outbound traffic and transmits responses to the malicious code executing within the BotMagnet. Requests by a user system for a resource at a URL may be received by a firewall, a honey client module may access the URL and permit installation of malicious code or other malicious activities. In response to detecting malicious activities, the honey client module characterizes the malicious activity to generate a descriptor used to detect malicious code in other systems. The URL may also be blacklisted by the firewall.

Abstract: A system of client devices and a server system implementing services makes use of credentials to facilitate authentication of the client devices with the server and generates log entries for different accesses to the server system. A monitoring system places credentials and log entries referencing the monitoring system with the credentials and log entries on the client devices without any authentication or actual access attempts by the client devices to the monitoring system. Unauthorized access to the client devices may result in the credentials and log entries to the monitoring system being accessed and used to access the monitoring system. Attempts to exploit the monitoring system using the credentials and log entries is contained within the monitoring system and data is collected to characterize malicious code attempting to exploit the monitoring system. The data is then used to prevent attacks and detect compromised client devices and server systems.

Abstract: A particular failed connection attempt initiated by a particular source asset in a network is identified and subsequent failed connection attempts initiated by the particular source asset in the network during a time period are tracked. A low frequency sequence of failed connection attempts involving the particular source asset is detected during the time period and the source asset is designated as a potential security risk based on the detected low frequency sequence of failed connection attempts.