Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to prevent attacks on software. An example non-transitory machine readable storage medium comprising instructions to cause programmable circuitry to at least: insert a plurality of code blocks into an input code; insert replacement manager instructions into the input code, the replacement manager instructions to, when executed: determine a subset of the plurality of code blocks; and insert the subset of the plurality of code blocks into memory for execution during execution of the input code.

Abstract: Embodiments may provide techniques that that may automatically generate a customized SOC rule set for an organization. For example, in an embodiment, a method may be implemented in a computer comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, the method may comprise simulating operation of a security incident and event management system by running a plurality of rules of the system on labeled data, determining fitness metrics of the plurality of rules, selecting at least one rule of the plurality of rules based on the determined fitness metrics; modifying the selected rule to form an updated rule, and repeating running the updated rule on the labeled data, determining fitness metrics of the updated rule, and mutating the updated rule.

Abstract: Deriving malware signatures by training a binary decision tree using known malware and benign software samples, each tree node representing a different software feature set and having one descending edge representing samples that are characterized by the node's software feature set and another descending edge representing samples that are not characterized thusly, selecting multiple continuous descending paths for multiple subsets of nodes, each path traversing a selected one of the edges descending from each of the nodes in its corresponding subset, deriving, based on the nodes and edges in any of the paths, a malware-associated software feature signature where the malware samples represented by leaves that directly or indirectly descend from an end of the continuous descending path meets a minimum percentage of the total number of samples represented by the leaves, and providing the malware signatures for use by a computer-based security tool configured to identify malware.

Abstract: Embodiments may provide techniques that that may automatically generate a customized SOC rule set for an organization. For example, in an embodiment, a method may be implemented in a computer comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, the method may comprise simulating operation of a security incident and event management system by running a plurality of rules of the system on labeled data, determining fitness metrics of the plurality of rules, selecting at least one rule of the plurality of rules based on the determined fitness metrics; modifying the selected rule to form an updated rule, and repeating running the updated rule on the labeled data, determining fitness metrics of the updated rule, and mutating the updated rule.

Abstract: Deriving malware signatures by training a binary decision tree using known malware and benign software samples, each tree node representing a different software feature set and having one descending edge representing samples that are characterized by the node's software feature set and another descending edge representing samples that are not characterized thusly, selecting multiple continuous descending paths for multiple subsets of nodes, each path traversing a selected one of the edges descending from each of the nodes in its corresponding subset, deriving, based on the nodes and edges in any of the paths, a malware-associated software feature signature where the malware samples represented by leaves that directly or indirectly descend from an end of the continuous descending path meets a minimum percentage of the total number of samples represented by the leaves, and providing the malware signatures for use by a computer-based security tool configured to identify malware.