ThreatFox: RevStealer IOCs

Hunt Hypothesis

This hunt detects adversary activity involving the specific indicators of compromise (IOCs) linked to the RevStealer malware, which is known for stealing sensitive credentials and financial data from compromised systems. A SOC team should proactively search for these IOCs within Azure Sentinel to identify early-stage infections before they escalate into broader credential theft or ransomware incidents across the enterprise environment.

IOC Summary

Malware Family: RevStealer Total IOCs: 5 IOC Types: domain

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - RevStealer
let malicious_domains = dynamic(["auth.commonup.click", "edge.amberreport.one", "metric3.viberun.lol", "beta.smartcore.click", "trace.eastbox.lol"]);
DnsEvents
| where Name has_any (malicious_domains)
| project TimeGenerated, Computer, Name, IPAddresses, QueryType
| order by TimeGenerated desc

Required Data Sources

References

• ThreatFox — RevStealer

False Positive Guidance

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

• Scenario: The IT Operations team executes a nightly automated backup script using Veeam Backup & Restore, which includes a post-processing step that queries external threat intelligence feeds (including ThreatFox) to update local asset tags. This process generates network traffic matching the RevStealer IOCs during the scheduled maintenance window (02:00 – 04:00 UTC).

  • Suggested Filter: Create an exclusion rule based on the Process Name (VeeamAgent.exe or vbrbackup.exe) combined with a Time Window constraint, excluding alerts generated between 01:30 and 04:30 daily.

• Scenario: The Security Engineering group runs a weekly vulnerability assessment using Tenable Nessus, which performs active scanning of internal endpoints against known IOCs to validate asset posture. During this scan, the tool connects to ThreatFox APIs to fetch the latest RevStealer indicators, triggering the detection logic on the scanner’s management node.

  • Suggested Filter: Apply a filter that excludes alerts originating from specific Hostnames or IP Ranges assigned to the Tenable Management Server (e.g., tn-mgmt-01.corp.local), as these are known trusted sources for IOC ingestion.

• Scenario: The DevOps team utilizes Ansible Automation Platform to deploy security configurations across a fleet of Windows servers. A specific playbook task involves downloading and parsing the latest RevStealer IOC list from ThreatFox to update local firewall rules, causing legitimate network connections that match the detection signature.

  • Suggested Filter: Implement an exclusion based on the User Account running the automation job (e.g., svc-ansible-deploy) or filter by