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ThreatFox: TonRAT IOCs

ioc-hunt HIGH ThreatFox
DnsEvents
backdooriocjs-tonratthreatfox
This rule was pulled from an open-source repository and enriched with AI. Validate in a test environment before deploying to production.
View original rule at ThreatFox →
Retrieved: 2026-08-14T11:00:00Z · Confidence: high

Hunt Hypothesis

This hunt detects adversary behavior involving the deployment of TonRAT malware by identifying six specific indicators of compromise that signal active remote access trojan infections within the environment. A SOC team should proactively hunt for these IOCs in Azure Sentinel to rapidly identify and contain potential data exfiltration or lateral movement attacks before they escalate into broader security incidents.

IOC Summary

Malware Family: TonRAT Total IOCs: 6 IOC Types: domain

TypeValueThreat TypeFirst SeenConfidence
domainphotohub-vault.infopayload_delivery2026-08-14100%
domainphotosafe-docs.infopayload_delivery2026-08-14100%
domainsafevisa-hub.infopayload_delivery2026-08-14100%
domainsecure-picstore.infopayload_delivery2026-08-14100%
domainsecurehub-4pics.infopayload_delivery2026-08-14100%
domainvault-picstore.infopayload_delivery2026-08-14100%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - TonRAT
let malicious_domains = dynamic(["photohub-vault.info", "photosafe-docs.info", "safevisa-hub.info", "secure-picstore.info", "securehub-4pics.info", "vault-picstore.info"]);
DnsEvents
| where Name has_any (malicious_domains)
| project TimeGenerated, Computer, Name, IPAddresses, QueryType
| order by TimeGenerated desc

Required Data Sources

Sentinel TableNotes
DnsEventsEnsure this data connector is enabled

References

False Positive Guidance

Here are 5 specific false positive scenarios for the ThreatFox: TonRAT IOCs detection rule, along with targeted filters and exclusions suitable for an enterprise environment:

Original source: https://threatfox.abuse.ch/browse/malware/js.tonrat/