ThreatFox: Kuiper IOCs | SOC Hunt Feed

Hunt Hypothesis

This detection rule identifies adversary activity by matching network and endpoint telemetry against six specific Indicators of Compromise (IOCs) linked to the Kuiper threat campaign. A proactive hunt is essential in Azure Sentinel to rapidly uncover early-stage intrusions associated with this campaign before they escalate into broader lateral movements or data exfiltration events.

IOC Summary

Malware Family: Kuiper Total IOCs: 6 IOC Types: sha1_hash, md5_hash, sha256_hash

Type	Value	Threat Type	First Seen	Confidence
sha1_hash	`c3a0be16abf09c569acd2d61ebff4972549854d2`	payload	2026-08-13	95%
md5_hash	`a56d67f5e2f1b15b2c3864ff9501d7cc`	payload	2026-08-13	95%
sha256_hash	`e2bebe7d6fcc4e9ce414fa6f2fb357a1ec517712e2d1597e25752b3616e2d650`	payload	2026-08-13	95%
sha1_hash	`2571413368bb32f0b8eb3637b317a734978cf42b`	payload	2026-08-13	95%
md5_hash	`725368095f3e67cf813c8c442652ca97`	payload	2026-08-13	95%
sha256_hash	`bbbdcc7dc8d6ef0cdb2c72ddb0ed3858343db8705dfbd9b904a509342d6f4c12`	payload	2026-08-13	95%

KQL: Hash Hunt

// Hunt for files matching known malicious hashes
// Source: ThreatFox - Kuiper
let malicious_hashes = dynamic(["c3a0be16abf09c569acd2d61ebff4972549854d2", "a56d67f5e2f1b15b2c3864ff9501d7cc", "e2bebe7d6fcc4e9ce414fa6f2fb357a1ec517712e2d1597e25752b3616e2d650", "2571413368bb32f0b8eb3637b317a734978cf42b", "725368095f3e67cf813c8c442652ca97", "bbbdcc7dc8d6ef0cdb2c72ddb0ed3858343db8705dfbd9b904a509342d6f4c12"]);
DeviceFileEvents
| where SHA256 in (malicious_hashes) or SHA1 in (malicious_hashes) or MD5 in (malicious_hashes)
| project Timestamp, DeviceName, FileName, FolderPath, SHA256, InitiatingProcessFileName
| order by Timestamp desc

Required Data Sources

Sentinel Table	Notes
`DeviceFileEvents`	Ensure this data connector is enabled

References

ThreatFox — Kuiper

False Positive Guidance

Here are specific false positive scenarios and corresponding filters for the ThreatFox: Kuiper IOCs detection rule in an enterprise environment:

Security Information and Event Management (SIEM) Ingestion Jobs
- Scenario: The organization’s SIEM platform (e.g., Splunk or Microsoft Sentinel) runs a scheduled nightly job to ingest threat intelligence feeds. This process connects to the ThreatFox API endpoint, which is often associated with Kuiper infrastructure, generating network traffic that matches the rule’s IOCs during the ingestion window.
- Filter/Exclusion: Create an exclusion based on the source IP address of the SIEM collector nodes and restrict the alert trigger time to exclude the specific maintenance window (e.g., 02:00 - 04:00 UTC).
Endpoint Detection and Response (EDR) Cloud Connectivity
- Scenario: Enterprise EDR agents (such as CrowdStrike Falcon or Microsoft Defender for Endpoint) periodically communicate with their cloud management console to update threat definitions. If the vendor’s cloud backend utilizes Kuiper infrastructure for data distribution, these routine “heartbeat” or policy sync connections will trigger the detection logic.
- Filter/Exclusion: Exclude traffic originating from known EDR agent subnets and destination ports associated with the specific EDR vendor (e.g., Destination Port 443 where Source Host Group = 'EDR_Agents').
Automated Vulnerability Scanning Workflows
- Scenario: Scheduled vulnerability scans performed by tools like Tenable Nessus or Qualys often query external threat intelligence databases to enrich scan results. These scanners initiate outbound connections to fetch the latest IOCs, which may include Kuiper-associated indicators, causing legitimate scanning traffic to be flagged as a potential threat match.
- Filter/Exclusion: Implement a rule exception for the specific service