Systems, methods, user interfaces, and computer-readable media for investigating potential malicious communications
A data analysis system receives potentially undesirable electronic communications and automatically groups them in computationally-efficient data clusters, automatically analyze those data clusters, automatically tags and groups those data clusters, and provides results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the data clusters may include an automated application of various criteria or rules so as to generate an ordered display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters.
1. A system comprising:
one or more computer readable storage mediums having program instructions embodied thereon; and
one or more hardware processors configured to execute the program instructions to cause the system to:
transmit data for displaying a dynamic user interface indicating a plurality of clusters of emails associated with a first priority tier, the plurality of clusters including at least a first cluster of emails, the first cluster of emails including a first plurality of emails;
transmit data for updating the dynamic user interface to display information related to the first plurality of emails of the first cluster of emails, the information including:
a list of uniform resource locators (URLs) found in the first plurality of emails of the first cluster of emails; and
for each of the URLs, lists of users that accessed the respective URLs found in the first plurality of emails of the first cluster of emails;
transmit data for displaying, in the dynamic user interface, a menu of labels selectable to associate a status or maliciousness with a cluster; and
in response to receiving a selection of a first label from the menu of labels, associate the first label with the first cluster of emails.
2. The system of claim 1 , wherein the first cluster of emails is associated with the first priority tier based at least in part on at least one of: organizational roles of recipients of emails included in the first cluster, a number of emails included in the first cluster, an access to a first URL included in any email included in the first cluster, or a match of a second URL included in any email included in the first cluster with a blackhole listed URL.
3. The system of claim 1 , wherein a first plurality of emails are included in the first cluster of emails based at least in part on each of the first plurality of emails having a first feature in common.
4. The system of claim 3 , wherein the first feature common to the first plurality of emails comprises at least one of:
a field corresponding to a purported author,
one or more recipient fields corresponding to recipients,
a subject field corresponding to a purported topic, or
a URL.
5. The system of claim 4 , wherein the one or more hardware processors are configured to execute the program instructions to further cause the system to:
transmit data for displaying a plurality of filters including at least two of: a sender, a severity, a source, a subject, and a URL;
receive a selection of a selected filter from among plurality of filters; and
update the dynamic user interface based at least in part on the selected filter.
6. The system of claim 5 , wherein the one or more hardware processors are configured to execute the program instructions to further cause the system to:
transmit data for updating the dynamic user interface to display, simultaneously with the first cluster of emails:
a second email included in the first cluster of emails, wherein the second email does not include the first feature that is common to the first plurality of emails, and wherein the second email shares a second feature in common with at least one email from the first plurality of emails.
7. The system of claim 6 , wherein transmitting the data for updating the dynamic user interface to display, simultaneously, the first cluster of emails and the second email, is performed in response to receiving a selection of at least the first cluster of emails.
8. The system of claim 7 , wherein the one or more hardware processors are configured to execute the program instructions to further cause the system to:
transmit data for updating the dynamic user interface to indicate a plurality of priority tiers, including at least the first priority tier, of different priorities for assessing if emails are undesirable,
wherein transmitting the data for displaying the dynamic user interface indicating the plurality of clusters of emails, is performed in response to receiving a selection of the first priority tier from the plurality of priority tiers.
9. A computer-implemented method comprising:
by one or more computer processors executing program instructions:
transmitting data for displaying a dynamic user interface indicating a plurality of clusters of emails associated with a first priority tier, the plurality of clusters including at least a first cluster of emails, the first cluster of emails including a first plurality of emails;
transmitting data for updating the dynamic user interface to display information related to the first plurality of emails of the first cluster of emails, the information including:
a list of uniform resource locators (URLs) found in the first plurality of emails of the first cluster of emails; and
for each of the URLs, lists of users that accessed the respective URLs found in the first plurality of emails of the first cluster of emails;
transmitting data for displaying, in the dynamic user interface, a menu of labels selectable to associate a status or maliciousness with a cluster; and
in response to receiving a selection of a first label from the menu of labels, associate the first label with each email in the first cluster of emails.
10. The computer-implemented method of claim 9 , wherein the first cluster of emails is associated with the first priority tier based at least in part on at least one of: organizational roles of recipients of emails included in the first cluster, a number of emails included in the first cluster, an access to a first URL included in any email included in the first cluster, or a match of a second URL included in any email included in the first cluster with a blackhole listed URL.
11. The computer-implemented method of claim 9 , wherein a first plurality of emails are included in the first cluster of emails based at least in part on each of the first plurality of emails having a first feature in common.
12. The computer-implemented method of claim 11 , wherein the first feature common to the first plurality of emails comprises at least one of:
a field corresponding to a purported author,
one or more recipient fields corresponding to recipients,
a subject field corresponding to a purported topic, or
a URL.
13. The computer-implemented method of claim 12 further comprising:
by the one or more computer processors executing program instructions:
transmitting data for displaying a plurality of filters including at least two of: a sender, a severity, a source, a subject, and a URL;
receiving a selection of a selected filter from among plurality of filters; and
updating the dynamic user interface based at least in part on the selected filter.
14. The computer-implemented method of claim 13 further comprising:
by the one or more computer processors executing program instructions:
transmitting data for updating the dynamic user interface to display, simultaneously with the first cluster of emails:
a second email included in the first cluster of emails, wherein the second email does not include the first feature that is common to the first plurality of emails, and wherein the second email shares a second feature in common with at least one email from the first plurality of emails.
15. The computer-implemented method of claim 14 , wherein transmitting the data for updating the dynamic user interface to display, simultaneously, the first cluster of emails and the second email, is performed in response to receiving a selection of at least the first cluster of emails.
16. The computer-implemented method of claim 15 further comprising:
by the one or more computer processors executing program instructions:
transmitting data for updating the dynamic user interface to indicate a plurality of priority tiers, including at least the first priority tier, of different priorities for assessing if emails are undesirable,
wherein transmitting the data for displaying the dynamic user interface indicating the plurality of clusters of emails, is performed in response to receiving a selection of the first priority tier from the plurality of priority tiers.