Netskope - Unauthorized Cloud App Access (Shadow IT)
73 NK Unauthorized Cloud App Access
Query
let _NetskopeEmpty = datatable(TimeGenerated:datetime, action_s:string, category_s:string, severity_s:string, malware_name_s:string, malware_type_s:string, threat_name_s:string, user_s:string, domain_s:string, dstip_s:string, srcip_s:string, bytes_uploaded_d:real, bytes_downloaded_d:real, app_s:string, url_s:string, dlp_rule_s:string, dlp_profile_s:string, activity_s:string, file_type_s:string, object_s:string, dst_country_s:string, src_country_s:string, ccl_s:string, access_method_s:string, traffic_type_s:string)[];
let RiskyCCL = dynamic(["poor", "low", "unknown"]);
union isfuzzy=true _NetskopeEmpty, NetskopeWebTx_CL
| where TimeGenerated > ago(1d)
| where isnotempty(user_s) and isnotempty(app_s)
| where action_s !in ("block", "Block", "blocked", "Blocked")
| where ccl_s in (RiskyCCL) or isempty(ccl_s)
| where category_s !in ("Business", "Technology", "Government", "Education")
| summarize
RequestCount = count(),
TotalMBUploaded = round(sum(todouble(bytes_uploaded_d)) / 1048576, 2),
TotalMBDownloaded = round(sum(todouble(bytes_downloaded_d)) / 1048576, 2),
UniqueApps = dcount(app_s),
Apps = make_set(app_s, 20),
Categories = make_set(category_s, 10),
Domains = make_set(domain_s, 20),
SourceIPs = make_set(srcip_s, 5),
CCLValues = make_set(ccl_s, 5),
FirstSeen = min(TimeGenerated),
LastSeen = max(TimeGenerated)
by user_s
| where UniqueApps >= 3 or TotalMBUploaded > 50
| order by UniqueApps desc, TotalMBUploaded descExplanation
This query is designed to detect and alert on users accessing unauthorized or unsanctioned cloud applications, often referred to as "Shadow IT." Here's a simplified breakdown of what the query does:
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Purpose: It identifies users who are accessing cloud applications that are not officially approved by the organization, which can pose risks such as data leaks and compliance issues.
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Data Source: The query uses data from a custom table called
NetskopeWebTx_CL, which is ingested via Blob Storage. -
Detection Criteria:
- It looks for user activities over the past day (
P1D). - It filters out actions that are blocked and focuses on those with a low or unknown Cloud Confidence Level (CCL).
- It excludes certain categories like Business, Technology, Government, and Education.
- It looks for user activities over the past day (
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Analysis:
- It counts the number of requests and calculates the total data uploaded and downloaded.
- It identifies unique applications accessed and summarizes them along with other details like domains and source IPs.
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Alert Conditions:
- An alert is triggered if a user accesses three or more unique unsanctioned apps or uploads more than 50 MB of data.
- Alerts are sorted by the number of unique apps accessed and the total data uploaded.
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Alert Details:
- The alert includes the user's name, the number of unsanctioned apps accessed, and the total data uploaded.
- It creates incidents for further investigation and groups them by user accounts.
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Severity and Techniques:
- The severity of the alert is set to Medium.
- It maps to MITRE ATT&CK techniques related to data exfiltration and cloud account data transfer.
Overall, this query helps organizations monitor and manage the risks associated with unauthorized cloud application usage by their employees.