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Security Scan Report: 2111a1d5916c035ed54d38aa1e091c494282ca3172.uaid.imrworldwide.com

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Submitted: Dec 3, 2025, 1:31:07 AMCompleted: Dec 3, 2025, 1:33:21 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is 2111a1d5916c035ed54d38aa1e091c494282ca3172.uaid.imrworldwide.com.

Submitted URL: https://2111a1d5916c035ed54d38aa1e091c494282ca3172.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Hosted on reputable analytics domain (imrworldwide.com)
No suspicious content or phishing indicators detected
Domain age information unavailable

Details

Page Title

2111a1d5916c035ed54d38aa1e091c494282ca3172.uaid.imrworldwide.com

Scan Type

public

Language

🇼🇦

CY

(29% confidence)

Category

healthcare medical

(61%)

Domain Information

Within the commercial generic top-level domain (.com), '2111a1d5916c035ed54d38aa1e091c494282ca3172.uaid.imrworldwide.com' is registered, featuring subdomain '2111a1d5916c035ed54d38aa1e091c494282ca3172.uaid'. Its registrable label 'imrworldwide' stretches across 12 characters with four vowels and 8 consonants. Word splitting yields three words: i, mr, worldwide. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://2111a1d5916c035ed54d38aa1e091c494282ca3172.uaid.imrworldwide.com/

Page Load Overview

0.16s
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

healthcare medical61% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
61%
e-commerce shopping
61%
news media journalism
56%
cryptocurrency blockchain
54%
real estate property
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
265.9.175.13United States
AS16509AMAZON-02
265.9.175.89United States
AS16509AMAZON-02
02600:9000:2096:ca00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
065.9.175.67United States
AS16509AMAZON-02
02600:9000:2096:6400:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:e200:1d:667e:2a40:93a1United States
AS16509AMAZON-02
065.9.175.88United States
AS16509AMAZON-02
02600:9000:2096:7200:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:800:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:7a00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
212--

Detected Technologies3

Amazon Web Services
50%
Amazon S3
40%
Amazon CloudFront
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FF048F77329A063D86458498E057430D9F20B543B50AC9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIszq2bMy8OldE:mhoC9J395CbZgLtSL3gcrse2eAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184000:FEjVZYcyJwgKmEl5QMBAAslMBQBcQCg0wMgQ3BNJSYEDSkalGODFUZCMSIoV0DEAiAQngA5DyGiQqG5MBcxQBDCX8oGAQSUS

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:9229d2a55e3d72d2
Difference Hash:c0c0587662000004
Wavelet Hash:7f7f070110f0f1f0
Color Hash:#3ad22d

Other Hashes

Crop Resistant:c0c0587662000004

Scan History

Scan history not available

Unable to load historical scan data