Security Scan Report: ce8d9dc078259a078f0028a5a0543d3fa2753ca2e6.uaid.imrworldwide.com

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Submitted: Dec 3, 2025, 3:57:51 PMCompleted: Dec 3, 2025, 4:00:02 PMpubliccompleted
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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 ce8d9dc078259a078f0028a5a0543d3fa2753ca2e6.uaid.imrworldwide.com.

Submitted URL: https://ce8d9dc078259a078f0028a5a0543d3fa2753ca2e6.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

Legitimate tracking pixel with no security concerns.

Safety Factors
High Cisco Umbrella ranking indicates reputable domain
Absence of credential or payment collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

ce8d9dc078259a078f0028a5a0543d3fa2753ca2e6.uaid.imrworldwide.com

Scan Type

public

Language

🇪🇸

CA

(29% confidence)

Category

healthcare medical

(64%)

Domain Information

The domain 'ce8d9dc078259a078f0028a5a0543d3fa2753ca2e6.uaid.imrworldwide.com' uses the commercial generic top-level domain (.com) with subdomain 'ce8d9dc078259a078f0028a5a0543d3fa2753ca2e6.uaid'. Its registrable label 'imrworldwide' stretches across 12 characters split between 4 vowels and 8 consonants. Word splitting yields 3 words: i, mr, worldwide. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ce8d9dc078259a078f0028a5a0543d3fa2753ca2e6.uaid.imrworldwide.com/

Page Load Overview

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

Language Analysis

Primary Language

🇪🇸CA
Code: ca
Confidence:29%
Script:Unknown
Direction:ltr

Detection Details

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

Website Classification

Primary Category

healthcare medical64% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
64%
news media journalism
62%
e-commerce shopping
62%
cryptocurrency blockchain
57%
documentation technical
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
265.9.175.89United States
AS16509AMAZON-02
065.9.175.67United States
AS16509AMAZON-02
02600:9000:2096:b600:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:3400:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:fa00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:4600:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:6400:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:9000:1d:667e:2a40:93a1United States
AS16509AMAZON-02
065.9.175.13United States
AS16509AMAZON-02
02600:9000:2096:7800:1d: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

T1F3047F77329A063D86554498E057430D9F20B143B50AC9BCBABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIszc2bMy8Oldj:XhoC9J395CbZgLtSL3gcrs42eAJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184000:ABSIIBVqIAgINAwIlAAGAQBExswACDTwyAmIlgQORREGYkmFbYaVIYynYJCgIyBoQRCLEMZCCAtoOAUulEIQADkY8ChBBAAD

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:c0c0587e62000004
Wavelet Hash:030307011cfcfffc
Color Hash:#bfac40

Other Hashes

Crop Resistant:c0c0587e62000004

Scan History

Scan history not available

Unable to load historical scan data