Security Scan Report: sevendepot.virtualhills.com

Submitted: Dec 26, 2025, 4:16:51 PMCompleted: Dec 26, 2025, 4:17:13 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is sevendepot.virtualhills.com and was registered NaN years ago.

Submitted URL: https://sevendepot.virtualhills.com/virtual/

AI Security Verdict

AI analysis unavailable for this scan

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(53%)

Domain Information

The domain 'sevendepot.virtualhills.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'sevendepot'. The second-level label 'virtualhills' is 12 characters long holding 4 vowels versus eight consonants. It segments into 2 words: virtual, hills. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sevendepot.virtualhills.com/virtual/

Page Load Overview

0.81s
Total Load Time
3
HTTP Requests
2
Domains
16 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:657 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
53%
documentation technical
45%
phishing scam
35%
social media network
33%
news media journalism
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2206.81.0.93North Bergen, New Jersey, United States
AS14061DIGITALOCEAN-ASN
1137.61.9.13Sweden
AS15991Swedish Tax Agency
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D432755735B7457168ABA0F937AB5B5A357481039506DC15BEDC83E08F42E98CE7338C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ot+cyUpJTdgNJj9oDCfAydGw1PKkBxVbW4zFCJM/hHRjubyFdDjCbXB0TCSjOE9f:otiBFnzjuA4bXB7SjOegE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11919:K0EBSKAFIRwCIhyHUdIMELorKAQIQgoRCUwQEscAjNwQYwKASAhNAAq6TjgBgoALDiKEAEARzhaABph4jlI4gGQ4BKPkGCBy

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:0000243c18180000
Perceptual Hash:9b666499996666cc
Difference Hash:0010282a32220000
Wavelet Hash:f0f0d0d8d8d8f0f0
Color Hash:#783a70

Other Hashes

Crop Resistant:0010282a32220000

Scan History

Scan history not available

Unable to load historical scan data