Security Scan Report: dba5517476c59d914043dcd3097ebb6b9f7fdf43e7.uaid.imrworldwide.com

Site favicon
Submitted: Dec 3, 2025, 11:19:28 PMCompleted: Dec 3, 2025, 11:21:34 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 dba5517476c59d914043dcd3097ebb6b9f7fdf43e7.uaid.imrworldwide.com.

Submitted URL: https://dba5517476c59d914043dcd3097ebb6b9f7fdf43e7.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
Domain is in Cisco Umbrella top 10K ranking
No malicious Indicators of Compromise matches
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

dba5517476c59d914043dcd3097ebb6b9f7fdf43e7.uaid.imrworldwide.com

Scan Type

public

Language

🇼🇦

CY

(50% confidence)

Category

healthcare medical

(60%)

Domain Information

Domain 'dba5517476c59d914043dcd3097ebb6b9f7fdf43e7.uaid.imrworldwide.com' uses the commercial generic top-level domain (.com) and includes subdomain 'dba5517476c59d914043dcd3097ebb6b9f7fdf43e7.uaid'. The second-level label 'imrworldwide' is 12 characters long holding four vowels versus eight consonants. Tokenizing the label suggests three words: i, mr, worldwide. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dba5517476c59d914043dcd3097ebb6b9f7fdf43e7.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:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:cy
Detection Confidence:50%
Script Type:Unknown
Text Length:70 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical60% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
60%
e-commerce shopping
60%
news media journalism
55%
cryptocurrency blockchain
48%
documentation technical
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
265.9.175.88United States
AS16509AMAZON-02
265.9.175.89United States
AS16509AMAZON-02
02600:9000:2096:fc00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:aa00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:c000:1d:667e:2a40:93a1United States
AS16509AMAZON-02
065.9.175.13United States
AS16509AMAZON-02
02600:9000:2096:e200:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:ba00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
065.9.175.67United States
AS16509AMAZON-02
02600:9000:2096:6600:1d:667e:2a40:93a1United States
AS16509AMAZON-02
212--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4048F77329A063D86554498E057430D9F20B143B50AC9BCBABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:efQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIszN2bMy8OldF:NhoC9J395CbZgLtSL3gcrsJ2eAP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184000:QRKEQEGQ8CAinQdSkCA4CSYYw4NIEEw1AKVHUCMFADAiABwIEAEjEIxCSJoEYgz1IAQADwW2c8IESoWAINHDQRAXoCBBUBRE

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:4343070110f0f3f0
Color Hash:#3a7778

Other Hashes

Crop Resistant:c0c0587662000004

Scan History

Scan history not available

Unable to load historical scan data