The present invention is directed to systems and methods for detecting unsolicited and threatening communications and communicating threat information related thereto. Threat information is received from one or more sources; such sources can include external security databases and threat information data from one or more application and/or network layer security systems. The received threat information is reduced into a canonical form. Features are extracted from the reduced threat information; these features in conjunction with configuration data such as goals are used to produce rules. In some embodiments, these rules are tested against one or more sets of test data and compared against the same or different goals; if one or more tests fail, the rules are refined until the tests succeed within an acceptable margin of error. The rules are then propagated to one or more application layer security systems.

Systems and methods for message threat management

A security management system includes a fusion engine which “fuses” or assembles information from multiple data sources and analyzes this information in order to detect relationships between raw events that may indicate malicious behavior and to provide an organized presentation of information to consoles without slowing down the processing performed by the data sources. The multiple data sources can comprise sensors or detectors that monitor network traffic or individual computers or both. The sensors can comprise devices that may be used in intrusion detection systems (IDS). The data sources can also comprise firewalls, audit systems, and other like security or IDS devices that monitor data traffic in real-time. The present invention can identify relationships between one or more real-time, raw computer events as they are received in real-time. The fusion engine can also assess and rank the risk of real-time raw events as well as mature correlation events.

Method and System for Managing Computer Security Information

An automated analysis system identifies the presence of malicious P-code or N-code programs in a manner that limits the possibility of the malicious code infecting a target computer. The target computer system initializes an analytical virtual P-code engine (AVPE). As initialized, the AVPE comprises software simulating the functionality of a P-code or intermediate language engine as well as machine language facilities simulating the P-code library routines that allow the execution of N-code programs. The AVPE executes a target program so that the target program does not interact with the target computer. The AVPE analyzes the behavior of the target program to identify occurrence of malicious code behavior and to indicate in a behavior pattern the occurrence of malicious code behavior. The AVPE is terminated at the end of the analysis process, thereby removing from the computer system the copy of the target program that was contained within the AVPE.

Computer immune system and method for detecting unwanted code in a P-code or partially compiled native-code program executing within a virtual machine

A system ( 120 ) detects transmission of potentially unwanted e-mail messages. The system ( 120 ) may receive e-mail messages and generate hash values based on one or more portions of the e-mail messages. The system ( 120 ) may then determine whether the generated hash values match hash values associated with prior e-mail messages. The system ( 120 ) may determine that one of the e-mail messages is a potentially unwanted e-mail message when one or more of the generated hash values associated with the e-mail message match one or more of the hash values associated with the prior e-mail messages.

Hash-based systems and methods for detecting and preventing transmission of unwanted e-mail

An analytical virtual machine (AVM) analyzes computer code using a software processor including a register that stores behavior flags indicative of behaviors identified by virtually executing the code within the virtual machine. The AVM includes a sequencer that stores the sequence in which behavior flags are set in the behavior flags register. The AVM analyzes machine performance by emulating execution of the code being analyzed on a fully virtual machine and records the observed behavior. When emulation and analysis are complete, the AVM returns the behavior flags register and sequencer to the real machine and terminates.

Analytical virtual machine

Detecting (206) attempted intrusions in a telecommunications signaling network (202) and assessing (212) the vulnerability of the network to the attempted intrusions. Intrusion rules are applied to received messages in the network in real-time, using a known protocol for the network, in order to detect anomalies tending to indicate an attempted intrusion. In order to assess the vulnerability of the network, the vulnerability rules are applied to rankings of particular parameters relating to elements in the network. The rankings provide an indication of susceptibility of a network element to an attempted intrusion relative to other network elements.

David B. Gorman

Papers

System for intrusion detection and vulnerability analysis in a telecommunications signaling network