ScanMalware.com

Security Scan Report: hbzt7vhtm3z5kk6w5u0jmvtzrvkkp1760026456.nuid.imrworldwide.com

Site favicon
Submitted: Nov 25, 2025, 5:06:56 PMCompleted: Nov 25, 2025, 5:09:49 PMpubliccompleted
Loading additional data...

Summary

This website contacted 12 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is hbzt7vhtm3z5kk6w5u0jmvtzrvkkp1760026456.nuid.imrworldwide.com.

Submitted URL: https://hbzt7vhtm3z5kk6w5u0jmvtzrvkkp1760026456.nuid.imrworldwide.com/

The Cisco Umbrella rank of the primary domain is #1,098 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site cannot be reached and shows no malicious indicators.

Safety Factors
Site is unreachable (DNS_PROBE_FINISHED_NXDOMAIN), indicating no active content
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

hbzt7vhtm3z5kk6w5u0jmvtzrvkkp1760026456.nuid.imrworldwide.com (1×1)

Scan Type

public

Language

🇳🇱

Dutch

(36% confidence)

Category

cryptocurrency blockchain

(80%)

Domain Information

Within the commercial generic top-level domain (.com), 'hbzt7vhtm3z5kk6w5u0jmvtzrvkkp1760026456.nuid.imrworldwide.com' is registered; it also runs on subdomain 'hbzt7vhtm3z5kk6w5u0jmvtzrvkkp1760026456.nuid'. The second-level label 'imrworldwide' is 12 characters long split between 4 vowels and 8 consonants. Breaking it apart gives three words: i, mr, worldwide. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hbzt7vhtm3z5kk6w5u0jmvtzrvkkp1760026456.nuid.imrworldwide.com/

Page Load Overview

0.17s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:nl
Detection Confidence:36%
Script Type:Latin
Text Length:67 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain80% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
80%
news media journalism
69%
e-commerce shopping
69%
healthcare medical
68%
finance banking
63%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
265.9.175.67United States
AS16509AMAZON-02
065.9.175.13United States
AS16509AMAZON-02
065.9.175.89United States
AS16509AMAZON-02
02600:9000:2096:b200:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:d800:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:f000:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:c600:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:1400:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:9c00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:de00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
212--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5048F77329A063D86458498E057430D9F20B543B50AC9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ufQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIszg2bMy8OldP:dhoC9J395CbZgLtSL3gcrss2eAN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183979:AkIeHIDMhwTBSGEAwgIsCPC/vRyJAKCCEzGBM0LALCIAKKD8DAkAwAzIwQEEWAYRQolwVaBC0gmEPDwREAugglGGAISUiBDg

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:ff7f0f03bffffefc
Perceptual Hash:9229d2a95e3d72d2
Difference Hash:c0c0587664000004
Wavelet Hash:7c7c040010f0f3f0
Color Hash:#2dd2a9

Other Hashes

Crop Resistant:c0c0587664000004

Scan History

Scan history not available

Unable to load historical scan data