ScanMalware.com

Security Scan Report: 19e54759bc9d6022afda0a77c13fa98e4c5a83eac3.uaid.imrworldwide.com

Site favicon
Submitted: Nov 26, 2025, 3:53:03 PMCompleted: Nov 26, 2025, 3:56:17 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 19e54759bc9d6022afda0a77c13fa98e4c5a83eac3.uaid.imrworldwide.com.

Submitted URL: https://19e54759bc9d6022afda0a77c13fa98e4c5a83eac3.uaid.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: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Domain has a high Cisco Umbrella ranking (top 10K)
No malicious Indicators of Compromise matches
No credential or payment collection elements
Domain age information unavailable

Details

Page Title

19e54759bc9d6022afda0a77c13fa98e4c5a83eac3.uaid.imrworldwide.com

Scan Type

public

Language

🇼🇦

CY

(29% confidence)

Category

e-commerce shopping

(66%)

Domain Information

The domain name '19e54759bc9d6022afda0a77c13fa98e4c5a83eac3.uaid.imrworldwide.com' uses the commercial generic top-level domain (.com); it also runs on subdomain '19e54759bc9d6022afda0a77c13fa98e4c5a83eac3.uaid'. The second-level label 'imrworldwide' is 12 characters long split between 4 vowels and 8 consonants. Tokenizing the label suggests 3 words: i, mr, worldwide. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://19e54759bc9d6022afda0a77c13fa98e4c5a83eac3.uaid.imrworldwide.com/

Page Load Overview

0.15s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇼🇦CY
Code: cy
Confidence:29%
Script:Unknown
Direction:ltr

Detection Details

Language Code:cy
Detection Confidence:29%
Script Type:Unknown
Text Length:70 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping66% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
66%
healthcare medical
65%
news media journalism
63%
cryptocurrency blockchain
59%
real estate property
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
265.9.175.13United States
AS16509AMAZON-02
265.9.175.88United States
AS16509AMAZON-02
02600:9000:2096:6000:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:3e00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:a600:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:f400:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:8000:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:9400:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:8c00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
065.9.175.67United 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

T1A0048F77329A063D86554499E057430D9F20B143B50AC9BCBABCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsz52bMy8Old1:5hoC9J395CbZgLtSL3gcrs12eAj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184000:EBSIJAAiIKBbkKsqAkCCAD4gWmbFCTQI4E1UMMazSQGDQkSQdiAgBKgBhaKxASNoAwSMQARCAiRgAAVARkJBJgATVYQIAAt0

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:c0c0587e62000004
Wavelet Hash:7373070110f0f1f0
Color Hash:#b96ce0

Other Hashes

Crop Resistant:c0c0587e62000004

Scan History

Scan history not available

Unable to load historical scan data