Security Scan Report: a1bfa8c6baf862a0c0e31ea1808d739743e9aef1a3.uaid.imrworldwide.com

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Submitted: Dec 2, 2025, 8:57:09 PMCompleted: Dec 2, 2025, 8:59:25 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 a1bfa8c6baf862a0c0e31ea1808d739743e9aef1a3.uaid.imrworldwide.com.

Submitted URL: https://a1bfa8c6baf862a0c0e31ea1808d739743e9aef1a3.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 suspicious activity detected; likely a benign tracking pixel.

Safety Factors
Well‑ranked domain (top 10K) indicating established reputation
Absence of malicious Indicators of Compromise
No data‑collection forms or scripts detected
Domain age information unavailable

Details

Page Title

a1bfa8c6baf862a0c0e31ea1808d739743e9aef1a3.uaid.imrworldwide.com

Scan Type

public

Language

🇼🇦

CY

(50% confidence)

Category

e-commerce shopping

(61%)

Domain Information

The domain 'a1bfa8c6baf862a0c0e31ea1808d739743e9aef1a3.uaid.imrworldwide.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'a1bfa8c6baf862a0c0e31ea1808d739743e9aef1a3.uaid'. The registrable portion 'imrworldwide' spans 12 characters holding four vowels versus 8 consonants. It segments into 3 words: i, mr, worldwide. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://a1bfa8c6baf862a0c0e31ea1808d739743e9aef1a3.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: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

e-commerce shopping61% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
61%
healthcare medical
60%
cryptocurrency blockchain
57%
news media journalism
55%
real estate property
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
265.9.175.67United States
AS16509AMAZON-02
265.9.175.13United States
AS16509AMAZON-02
065.9.175.89United States
AS16509AMAZON-02
02600:9000:2096:a600:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:ca00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:cc00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:3000:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:6200:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:400:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:4000:1d: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

T109048E77329A063D86454498E057430D9F20B543B50AC9BCBABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsz42bMy8OldM:+hoC9J395CbZgLtSL3gcrsE2eA6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184000:AIKITAATIKA/ES9CEaAUAYYR4mAQACMqGKtU8MIMU6AjRQLIHCIxAAyD2bgAgBl84oTFAwQZEiAAGLwAccBAawpbhCAACUsA

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:7c7c070110f0f3f0
Color Hash:#1f9333

Other Hashes

Crop Resistant:c0c0587e62000004

Scan History

Scan history not available

Unable to load historical scan data