Security Scan Report: 07292c5f5e9ec2ee91d6456fb8626c9ab5b8913146.uaid.imrworldwide.com

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Submitted: Dec 3, 2025, 10:12:55 PMCompleted: Dec 3, 2025, 10:15:01 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 07292c5f5e9ec2ee91d6456fb8626c9ab5b8913146.uaid.imrworldwide.com.

Submitted URL: https://07292c5f5e9ec2ee91d6456fb8626c9ab5b8913146.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; the site appears to be a benign tracking pixel.

Safety Factors
Belongs to a reputable analytics/tracking network (imrworldwide.com)
High Cisco Umbrella ranking (top 1,100)
Page appears to be a 1×1 tracking pixel with no user‑visible content
Domain age information unavailable

Details

Page Title

07292c5f5e9ec2ee91d6456fb8626c9ab5b8913146.uaid.imrworldwide.com

Scan Type

public

Language

🇨🇳

Chinese

(24% confidence)

Category

healthcare medical

(65%)

Domain Information

The domain name '07292c5f5e9ec2ee91d6456fb8626c9ab5b8913146.uaid.imrworldwide.com' uses the commercial generic top-level domain (.com) with subdomain '07292c5f5e9ec2ee91d6456fb8626c9ab5b8913146.uaid'. Count 12 characters in 'imrworldwide' split between four vowels and eight consonants. Tokenizing the label suggests 3 words: i, mr, worldwide. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://07292c5f5e9ec2ee91d6456fb8626c9ab5b8913146.uaid.imrworldwide.com/

Page Load Overview

0.12s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:24%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:24%
Script Type:Han
Text Length:70 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical65% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
65%
news media journalism
64%
cryptocurrency blockchain
61%
e-commerce shopping
61%
documentation technical
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
265.9.175.67United States
AS16509AMAZON-02
065.9.175.88United States
AS16509AMAZON-02
02600:9000:2096:e800:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:5000:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:3a00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:be00:1d:667e:2a40:93a1United States
AS16509AMAZON-02
02600:9000:2096:8000:1d:667e:2a40:93a1United States
AS16509AMAZON-02
065.9.175.13United States
AS16509AMAZON-02
065.9.175.89United States
AS16509AMAZON-02
02600:9000:2096:8600:1d: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

T1FC048F77329A063D96454498E057430DAF20B143B50AC9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIszR2bMy8Old1:phoC9J395CbZgLtSL3gcrsF2eAn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184000:AcIEJA2sBCILQBEYnCjkAGYDDwqqghygEALGOA41FwUOWMtBkwNDVMISY7IhCApzQgwKA4JCOQUEiQwa2AlEBoAisChQAQRO

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:7373070110f0f3f0
Color Hash:#3a7778

Other Hashes

Crop Resistant:c0c0587e62000004

Scan History

Scan history not available

Unable to load historical scan data