ThreatFox: Unknown malware IOCs

Hunt Hypothesis

This hypothesis targets the presence of seven specific IOCs linked to unknown malware, indicating potential compromise by an adversary leveraging novel or unclassified malicious artifacts. Proactively hunting for these indicators in Azure Sentinel allows the SOC to identify and isolate affected assets before the unknown malware can establish persistence or execute lateral movement within the environment.

IOC Summary

Malware Family: Unknown malware Total IOCs: 7 IOC Types: domain, url

Type	Value	Threat Type	First Seen	Confidence
url	`hxxps://hashedsolver.icu/update1.ps1`	payload_delivery	2026-09-14	90%
url	`hxxps://kachadigital.com/`	payload_delivery	2026-09-14	90%
url	`hxxps://copiose.org/test_proliv/b?o=df2d61526e27a2bc`	payload_delivery	2026-09-14	90%
domain	`littlevictories.info`	payload_delivery	2026-09-14	90%
domain	`pagyamorim.com.br`	payload_delivery	2026-09-14	90%
domain	`nigerianationalsanitationconference.com`	payload_delivery	2026-09-14	90%
domain	`yumppad.com`	payload_delivery	2026-09-14	90%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - Unknown malware
let malicious_domains = dynamic(["littlevictories.info", "pagyamorim.com.br", "nigerianationalsanitationconference.com", "yumppad.com"]);
DnsEvents
| where Name has_any (malicious_domains)
| project TimeGenerated, Computer, Name, IPAddresses, QueryType
| order by TimeGenerated desc

KQL: Url Hunt

// Hunt for access to known malicious URLs
// Source: ThreatFox - Unknown malware
let malicious_urls = dynamic(["https://hashedsolver.icu/update1.ps1", "https://kachadigital.com/", "https://copiose.org/test_proliv/b?o=df2d61526e27a2bc"]);
UrlClickEvents
| where Url has_any (malicious_urls)
| project Timestamp, AccountUpn, Url, ActionType, IsClickedThrough
| order by Timestamp desc

Required Data Sources

Sentinel Table	Notes
`DnsEvents`	Ensure this data connector is enabled
`UrlClickEvents`	Ensure this data connector is enabled

References

ThreatFox — Unknown malware

False Positive Guidance

Scenario: A DevOps engineer uses Ansible or Terraform to provision new infrastructure, where the automation tool writes temporary configuration files or logs to /tmp or %TEMP% directories that match the file hash or path patterns of the “Unknown malware” IOCs.
- Filter/Exclusion: Exclude events where the parent process is ansible-playbook.exe, terraform.exe, or python.exe (specifically when running infrastructure-as-code scripts) and the file path contains /tmp/, /var/tmp/, or %TEMP%.
Scenario: The enterprise endpoint protection agent (e.g., CrowdStrike Falcon, Carbon Black, or SentinelOne) performs a scheduled full-system scan or on-access scan, creating temporary quarantine or analysis files that match the IOCs’ file names or hashes before they are cleaned up.
- Filter/Exclusion: Exclude detections where the source process is the EDR agent service (e.g., FalconSensor.exe, cb.exe, SentinelOneAgent.exe) and the action is “Scan” or “Quarantine” rather than “Execute” or “Create” by a user-interactive process.
Scenario: A legacy line-of-business application (e.g., a custom Java or .NET app) uses a generic name like update.exe or helper.dll for its self-update mechanism or plugin loader, which coincidentally matches one of the 7 IOCs’ file names or hashes.
- Filter/Exclusion: Maintain a whitelist of known application directories (e.g., C:\Program Files\LegacyApp\, C:\Apps\CustomApp\) and exclude detections where the file path resides within these specific, approved directories and the parent process is the known application executable (e.g., LegacyApp.exe).
Scenario: A scheduled maintenance job