Visualization tool for real-time network risk assessment
The present disclosure relates to methods and apparatus that collect data regarding malware threats, that organizes this collected malware threat data, and that provides this data to computers or people such that damage associated with these software threats can be quantified and reduced. The present disclosure is also directed to preventing the spread of malware before that malware can damage computers or steal computer data. Methods consistent with the present disclosure may optimize tests performed at different levels of a multi-level threat detection and prevention system. As such, methods consistent with the present disclosure may collect data from various sources that may include endpoint computing devices, firewalls/gateways, or isolated (e.g. “sandbox”) computers. Once this information is collected, it may then be organized, displayed, and analyzed in ways that were not previously possible.
1. A method for visualizing the spread of malware, the method comprising:
generating a visualization that illustrates malware test vectors that identify malware detected by execution of differing sets of preventative program code;
displaying the visualization on a display screen, wherein the visualization includes information reflecting program code that stopped the spread of malware;
receiving an input that disables a particular set of preventative program code;
receiving new malware test vectors resulting from disabling the particular set of preventative program code;
generating a new visualization that illustrates the new malware test vectors from disabling the particular set of preventative program code;
displaying the new visualization on the display screen; and
continually updating the visualizations displayed on the display screen to include additional malware test vectors as the additional malware test vectors are identified by the differing sets of preventative program code.
2. The method of claim 1 , wherein the visualization includes a geographical map.
3. The method of claim 2 , further comprising:
identifying areas associated with the spreading of a detected malware type;
identifying that the detected malware type has spread to a second location; and
updating the visualization to include a vector that illustrates that the detected malware type has spread from a first location to the second location.
4. The method of claim 1 , further comprising identifying deep packet inspection (DPI) signature data characteristic of a new malware type.
5. The method of claim 4 , further comprising: matching DPI signatures generated on received data with the DPI signature of the new malware type.
6. The method of claim 1 , further comprising:
generating a new visualization that includes a map and locations where each of a respective type of malware is identified as being detected at a first point in time;
displaying the new visualization on the display screen;
generating a second new visualization that includes updated location information on the map, the updated location information providing an indication of a movement of at least one malware type of the respective types of malware from a first location on the map to a second location on the map; and
displaying the second new visualization on the display screen.
7. The method of claim 1 , wherein generating the visualization also includes identifying colors for illustrating respective members of the malware test vectors.
8. The method of claim 7 , wherein the generated visualization includes the identified colors for each of the respective members of the malware test vectors.
9. A system for visualizing the spread of malware, the system comprising:
a processor that executes instructions stored in memory to generate a visualization that illustrates malware test vectors identifying malware detected by the execution of differing sets of preventative program code;
a display screen that displays the visualization, wherein the visualization includes information reflecting program code that stopped the spread of malware; and
an interface that receives:
input that disables a particular set of preventative program code, and
new malware test vectors resulting from disabling the particular set of preventative program code; wherein the processor executes further instructions to generate a new visualization that illustrates the new malware test vectors resulting from disabling the particular set of preventative program code, and wherein the display screen displays the new visualization,
wherein the processor executes further instructions to continually update the visualizations displayed on the display screen to include additional malware test vectors as the additional malware test vectors are identified by the differing sets of preventative program code.
10. The system of claim 9 , wherein the visualization includes a geographical map.
11. The system of claim 10 , wherein the processor executes further instructions to:
identify area data associated with the spreading of a detected malware type;
identify that the detected malware type has spread to a second location; and
update the visualization to include a new vector illustrating that the detected malware type has spread from a first location to the second location.
12. The system of claim 9 , wherein the processor executes further instructions to identify deep packet inspection (DPI) signature data characteristic of a new malware type.
13. The system of claim 12 , wherein the processor executes further instructions to match DPI signatures generated on received data with the DPI signature of the new malware type.
14. The system of claim 9 , wherein the processor executes further instructions to:
generate a new visualization that includes a map and locations where each of a respective type of malware is identified as being detected at a first point in time, wherein the display screen displays the new visualization; and
generate a second new visualization that includes updated location information on the map, the updated location information providing an indication of a movement of at least one malware type of the respective types of malware from a first location on the map to a second location on the map, wherein the display screen displays the second new visualization.
15. The system of claim 9 , wherein the processor generates the visualization by identifying colors for illustrating respective members of the malware test vectors, wherein the visualization includes the identified colors for each of the respective members of the malware test vectors.
16. A non-transitory computer-readable storage medium having embodied thereon a program to implement a method visualizing the spread of malware, the method comprising:
generating a visualization that illustrates malware test vectors that identify malware detected by the execution of differing sets of preventative program code;
displaying the visualization on a display screen, wherein the visualization includes information reflecting program code that stopped the spread of malware;
receiving an input that disables a particular set of preventative program code;
receiving new malware test vectors resulting from disabling the particular set of preventative program code;
generating a new visualization that illustrates the new malware test vectors from disabling the particular set of preventative program code;
displaying the new visualization on the display screen; and
continually updating the visualization displayed on the display screen to include additional malware test vectors as the additional malware test vectors are identified by the differing sets of preventative program code.