Scanning of security logs to detect data indicative of cyber threats
Filters that include matching criteria for detecting data indicative of attack techniques of cyber threats are provided in a repository. Filters that meet filter conditions of a rule of a heuristic model are automatically included in the rule. Filters that have been automatically included in the rule by having met the filter conditions of the rule are automatically removed from the rule when the filters no longer meet the filter conditions of the rule. A security log is scanned for data that meet matching criteria of filters included in the rule. The heuristic model issues an alert at least in response to detecting that the security log includes data that meet matching criteria of filters included in the rule.
1 . A method of scanning security logs for data indicative of cyber threats, the method comprising:
providing a plurality of filters in a filter repository, each of the plurality of filters comprising matching criteria that describe data indicative of an attack technique of a cyber threat;
automatically including a first filter of the plurality of filters in a rule of a heuristic model for detecting a particular cyber threat, the rule including a first filter condition for automatically adding filters from the filter repository into a subset of the plurality of filters that are included in the rule, wherein the first filter is automatically added to the subset of the plurality of filters in response to the first filter having an attribute that is indicated by the first filter condition of the rule;
scanning a security log for data that are described by matching criteria of the subset of the plurality of filters; and
the heuristic model issuing an alert at least in response to detecting that the security log includes data that are described by matching criteria of the first filter.
2 . The method of claim 1 , further comprising:
automatically removing the first filter from the rule in response to the first filter no longer having the attribute.
3 . The method of claim 2 , further comprising:
automatically including a second filter of the plurality of filters in the subset of the plurality of filters in response to the second filter having an attribute that is indicated by a second filter condition for automatically adding filters from the filter repository into the subset of the plurality of filters; and
scanning the security log for data that are described by matching criteria of the second filter.
4 . The method of claim 3 , wherein the heuristic model issues the alert in response to detecting that the security log includes data that are described by the matching criteria of the first filter and the matching criteria of the second filter.
5 . The method of claim 3 , wherein the heuristic model issues the alert in response to detecting that the security log includes data that are described by the matching criteria of the first filter or the matching criteria of the second filter.
6 . The method of claim 1 , wherein the first filter condition of the rule indicates a static attribute.
7 . The method of claim 6 , wherein the static attribute is a tag that is included in the first filter.
8 . The method of claim 1 , wherein the first filter condition of the rule indicates a dynamic attribute.
9 . The method of claim 8 , wherein the dynamic attribute is prevalence of the first filter.
10 . A backend system for scanning security logs to detect data indicative of cyber threats, the backend system comprising at least one processor and a memory, the memory storing instructions that when executed by the at least one processor cause the backend system to:
store a plurality of filters in a filter repository, each of the plurality of filters describing an attack technique of a cyber threat;
automatically include a first filter of the plurality of filters in a rule of a heuristic model for detecting a particular cyber threat in response to the first filter having an attribute that is indicated by a first filter condition of the rule, wherein the first filter condition is for automatically including filters from the filter repository into a subset of the plurality of filters that are included in the rule;
automatically include a second filter of the plurality of filters in the rule in response to the second filter having an attribute that is indicated by a second filter condition of the rule, wherein the second filter condition is for automatically including filters from the filter repository into the subset of the plurality of filters;
receive the security logs from a plurality of security event sources;
scan the security logs for data that are described by the first filter and the second filter; and
issue an alert based at least on a security log including data that are described by the first filter as indicative of an attack technique of a cyber threat.
11 . The backend system of claim 10 , wherein the instructions stored in the memory when executed by the at least one processor cause the backend system to issue the alert based at least on the security log including data that are described by the first filter and the second filter as indicative of attack techniques of cyber threats.
12 . The backend system of claim 10 , wherein the first filter condition indicates a static attribute and the attribute of the first filter is the static attribute.
13 . The backend system of claim 10 , wherein the first filter condition indicates a dynamic attribute, and the attribute of the first filter is the dynamic attribute.
14 . The backend system of claim 10 , wherein the instructions stored in the memory when executed by the at least one processor cause the backend system to:
automatically remove the first filter from the rule in response to the first filter no longer having the attribute.