Abstract: Fragment trains in a communication network are analyzed. A fragment train includes fragments in the same fragment train and associated with the same target system. One or more fragment reassembly policies are identified out of several fragment reassembly policies, where the fragment reassembly policy corresponds to a target system associated with fragments in a fragment train. The data in the fragments in the fragment train are provided in an order indicated by the fragment reassembly policy. The fragment reassembly policy can include determining the order responsive to an offset and a more fragments indication in the fragments, and/or indicating an order specific to overlapped fragments such as comprehensively overlapped fragments.

Abstract: A packet transmitted on a network is read and decoded. A network device and its operating system are identified by analyzing the decoded packet. If more than one operating system is identified from the decoded packet, the operating system is selecting by comparing confidence values assigned to the operating systems identified. A service running on the network device is identified from the decoded packet or subsequent packets that are read, decoded and analyzed. The network topology of a network is determined by reading, decoding, and analyzing a plurality of packets. A flow between two network devices is determined by reading, decoding, and analyzing a plurality of packets. Vulnerabilities are assigned to operating systems and services identified by reading, decoding, and analyzing packets. Network configuration policy is enforced on operating systems and services identified by reading, decoding, and analyzing packets.

Abstract: A packet transmitted on a network is read and decoded. A network device and its operating system are identified by analyzing the decoded packet. If more than one operating system is identified from the decoded packet, the operating system is selecting by comparing confidence values assigned to the operating systems identified. A service running on the network device is identified from the decoded packet or subsequent packets that are read, decoded and analyzed. The network topology of a network is determined by reading, decoding, and analyzing a plurality of packets. A flow between two network devices is determined by reading, decoding, and analyzing a plurality of packets. Vulnerabilities are assigned to operating systems and services identified by reading, decoding, and analyzing packets. Network configuration policy is enforced on operating systems and services identified by reading, decoding, and analyzing packets.

Abstract: A packet transmitted on a network is read and decoded. A network device and its operating system are identified by analyzing the decoded packet. If more than one operating system is identified from the decoded packet, the operating system is selecting by comparing confidence values assigned to the operating systems identified. A service running on the network device is identified from the decoded packet or subsequent packets that are read, decoded and analyzed. The network topology of a network is determined by reading, decoding, and analyzing a plurality of packets. A flow between two network devices is determined by reading, decoding, and analyzing a plurality of packets. Vulnerabilities are assigned to operating systems and services identified by reading, decoding, and analyzing packets. Network configuration policy is enforced on operating systems and services identified by reading, decoding, and analyzing packets.

Abstract: The disclosed systems and methods provide a user interface for modifying host configuration data that has been automatically and passively determined and for adding or modifying other parameters associated with a host. A host data table can store various parameters descriptive of a host including the applicability of specific vulnerabilities. If it is determined that one or more hosts should not be identified as associated with a specific vulnerability, a graphical user interface can be used to modify the vulnerability parameter.

Abstract: Embodiments of the present invention relate to systems and methods for optimizing and reducing the memory requirements of state machine algorithms in pattern matching applications. Memory requirements of an Aho-Corasick algorithm are reduced in an intrusion detection system by representing the state table as three separate data structures. Memory requirements of an Aho-Corasick algorithm are are also reduced by applying a banded-row sparse matrix technique to the state transition table of the state table. The pattern matching performance of the intrusion detection system is improved by performing a case insensitive search, where the characters of the test sequence are converted to uppercase as the characters are read. Testing reveals that state transition table with sixteen bit elements outperform state transition table with thirty-two bit elements and do not reduce the functionality of intrusion detection systems using the Aho-Corasick algorithm.

Abstract: The disclosed systems and methods provide a user interface for modifying host configuration data that has been automatically and passively determined and for adding or modifying other parameters associated with a host. A host data table can store various parameters descriptive of a host including the applicability of specific vulnerabilities. If it is determined that one or more hosts should not be identified as associated with a specific vulnerability, a graphical user interface can be used to modify the vulnerability parameter.

Abstract: A packet transmitted on a network is read and decoded. A network device and its operating system are identified by analyzing the decoded packet. If more than one operating system is identified from the decoded packet, the operating system is selecting by comparing confidence values assigned to the operating systems identified. A service running on the network device is identified from the decoded packet or subsequent packets that are read, decoded and analyzed. The network topology of a network is determined by reading, decoding, and analyzing a plurality of packets. A flow between two network devices is determined by reading, decoding, and analyzing a plurality of packets. Vulnerabilities are assigned to operating systems and services identified by reading, decoding, and analyzing packets. Network configuration policy is enforced on operating systems and services identified by reading, decoding, and analyzing packets.

Abstract: A packet transmitted on a network is read and decoded. A network device and its operating system are identified by analyzing the decoded packet. If more than one operating system is identified from the decoded packet, the operating system is selecting by comparing confidence values assigned to the operating systems identified. A service running on the network device is identified from the decoded packet or subsequent packets that are read, decoded and analyzed. The network topology of a network is determined by reading, decoding, and analyzing a plurality of packets. A flow between two network devices is determined by reading, decoding, and analyzing a plurality of packets. Vulnerabilities are assigned to operating systems and services identified by reading, decoding, and analyzing packets. Network configuration policy is enforced on operating systems and services identified by reading, decoding, and analyzing packets.

Abstract: A method performed in an intrusion detection/prevention system, a system or a device for analyzing segments in a transmission in a communication network. The transmission includes segments in the same transmission control protocol (TCP) session. Segments in a transmission are monitored. Data in the segments in the transmission are reassembled in an order indicated by a segment reassembly policy, the segment reassembly policy indicating an order specific to at least comprehensively overlapped segments.

Abstract: A method performed in a processor of an intrusion detection/prevention system (IDS/IPS) checks for valid packets in an SMB named pipe in a communication network. In a processor configured as an IDS/IPS, a packet in a transmission is received and a kind of application of a target of the packet is determined. Also, the data in the packet is inspected by the IDS/IPS as part of the SMB named pipe on only one of a condition that: (a) the FID in an SMB command header of the packet is valid (i) for segments/fragments in the SMB named pipe and (ii) for the determined kind of application of the target of the packet, as indicated by a reassembly table, and (b) the determined kind of application of the target of the packet does not check the FID, as indicated by the reassembly table.

Abstract: In an intrusion detection/prevention system, network traffic is received and checked for a matching pattern. Upon identifying the matching pattern, the network traffic with the matching pattern is evaluated against rules that are represented by a rule tree. References to rule options are represented in the rule tree and are stored separately from the rule tree. The rule tree represents unique rules by unique paths from a root of the tree to the leaf nodes, and represents rule options as non-leaf nodes of the rule tree. Evaluating the network traffic includes processing, against the network traffic, the rule options in the rule tree beginning at the root. Processing of the rules represented by subtrees of nodes with rule options that do not match is eliminated. The network traffic is evaluated against rules terminating in leaf nodes only for combinations of rule options that match the network traffic.

Abstract: Embodiments of the present invention relate to systems and methods for optimizing and reducing the memory requirements of state machine algorithms in pattern matching applications. Memory requirements of an Aho-Corasick algorithm are reduced in an intrusion detection system by representing the state table as three separate data structures. Memory requirements of an Aho-Corasick algorithm are also reduced by applying a banded-row sparse matrix technique to the state transition table of the state table. The pattern matching performance of the intrusion detection system is improved by performing a case insensitive search, where the characters of the test sequence are converted to uppercase as the characters are read. Testing reveals that state transition tables with sixteen bit elements outperform state transition tables with thirty-two bit elements and do not reduce the functionality of intrusion detection systems using the Aho-Corasick algorithm.

Abstract: A hypertext transport protocol (HTTP) inspection engine for an intrusion detection system (IDS) includes an HTTP policy selection component, a request universal resource identifier (URI) discovery component, and a URI normalization module. The HTTP policy selection component identifies an HTTP intrusion detection policy using a packet. The request URI discovery component locates a URI within the packet. The URI normalization module decodes an obfuscation within the URI. In another embodiment, a packet transmitted on the network is intercepted. The packet is parsed. An Internet protocol (IP) address of the packet is identified. An HTTP intrusion detection policy for a network device is determined. A URI is located in the packet. A pattern from an intrusion detection system rule is compared to the located URI. In another embodiment, an IDS includes a packet acquisition system, network and transport reassembly modules, an HTTP inspection engine, a detection engine, and a logging system.

Abstract: A packet transmitted on a network is read and decoded. A network device and its operating system are identified by analyzing the decoded packet. If more than one operating system is identified from the decoded packet, the operating system is selecting by comparing confidence values assigned to the operating systems identified. A service running on the network device is identified from the decoded packet or subsequent packets that are read, decoded and analyzed. The network topology of a network is determined by reading, decoding, and analyzing a plurality of packets. A flow between two network devices is determined by reading, decoding, and analyzing a plurality of packets. Vulnerabilities are assigned to operating systems and services identified by reading, decoding, and analyzing packets. Network configuration policy is enforced on operating systems and services identified by reading, decoding, and analyzing packets.

Abstract: A packet transmitted on a network is read and decoded. A network device and its operating system are identified by analyzing the decoded packet. If more than one operating system is identified from the decoded packet, the operating system is selecting by comparing confidence values assigned to the operating systems identified. A client application running on the network device is identified from the decoded packet or subsequent packets that are read, decoded and analyzed. The network topology of a network is determined by reading, decoding, and analyzing a plurality of packets. A flow between two network devices is determined by reading, decoding, and analyzing a plurality of packets. Vulnerabilities are assigned to operating systems and client applications identified by reading, decoding, and analyzing packets. Network configuration policy is enforced on operating systems and client applications identified by reading, decoding, and analyzing packets.

Abstract: A computer system, device, computer software, and/or method performed by a computer system, is provided for determining a user name likely to be associated with an attack, a configuration, or a vulnerability. First data is obtained which associates user names with individual IP addresses onto which the user names were logged in. Second data is obtained which associates attacks, configurations, or vulnerabilities with individual IP addresses on which the attacks occurred or on which the configurations or vulnerabilities exist. The user names from the first data are associated with the attacks, configurations or vulnerabilities from the second data based on having the same IP address during a log-in. An individual user name is indicated as being associated with attacks which occurred while the individual user name was logged in or with configurations or vulnerabilities for an IP address onto which the user logs in.

Abstract: A method performed in an intrusion detection/prevention system, a system or a device for determining whether a transmission control protocol (TCP) segment in a TCP connection in a communication network is acceptable. The TCP connection can include TCP segments beginning with a three way handshake. A TCP segment can include a field for a timestamp. A timestamp policy of plural timestamp policies is identified, the timestamp policy corresponding to a target associated with the segments in a TCP connection. A baseline timestamp is identified based on a three way handshake in the TCP connection. Segments in the TCP connection are monitored. The segments in the TCP connection are filtered as indicated in the timestamp policy corresponding to the target, the timestamp policy indicating whether the segments are to be filtered out or forwarded to the target by comparing the timestamp of the segments to the baseline timestamp.

Abstract: A method, computer system and/or computer readable medium, associates attack detection/prevention rules with a target in a communication network. The attack detection/prevention rules are provided for the target without differentiation as to flows. A particular flow is associated with a transmission destination, a port number, a platform, a network service, or a client application on the target. A micro-policy is bound to a target of the particular flow based on monitored transmissions. The micro-policy that was bound to the target of the particular flow, is applied to the target to detect an intrusion in the particular flow. Binding the micro-policy includes selecting, as the micro-policy, only rules in the attack detection/prevention rules that are specific to the port number, the protocol, the family of machine, and the version associated with the particular flow, and associating only the selected rules of the micro-policy with the target of the particular flow.

Abstract: Embodiments of the present invention relate to systems and methods for optimizing and reducing the memory requirements of state machine algorithms in pattern matching applications. Memory requirements of an Aho-Corasick algorithm are reduced in an intrusion detection system by representing the state table as three separate data structures. Memory requirements of an Aho-Corasick algorithm are also reduced by applying a banded-row sparse matrix technique to the state transition table of the state table. The pattern matching performance of the intrusion detection system is improved by performing a case insensitive search, where the characters of the test sequence are converted to uppercase as the characters are read. Testing reveals that state transition tables with sixteen bit elements outperform state transition tables with thirty-two bit elements and do not reduce the functionality of intrusion detection system using the Aho-Corasick algorithm.