Security Scan Report: vibimed.com

Redirected to: https://public-sante-doctolib.com/

Submitted: Jan 28, 2026, 9:46:47 AMCompleted: Jan 28, 2026, 9:48:11 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is public-sante-doctolib.com and was registered NaN years ago.

Submitted URL: https://vibimed.com/

Effective URL: https://public-sante-doctolib.com/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed scam: brand impersonation on a newly registered domain.

Risk Factors
Brand impersonation on a brand‑new, unranked domain
Domain age less than 90 days with brand mimicry
Unranked domain claiming association with a known brand
Domain age information unavailable

Details

Page Title

vibimed.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(71%)

Domain Information

You're looking at domain 'vibimed.com' on the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'vibimed' is 7 characters long with three vowels and 4 consonants. Segmentation suggests 3 words: vi, bi, med. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vibimed.com/

Page Load Overview

0.34s
Total Load Time
3
HTTP Requests
2
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:252 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service71% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
71%
healthcare medical
70%
documentation technical
51%
adult content
42%
news media journalism
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3223.29.226.200Pakistan
AS213441Slayer Group Limited
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:gfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszi2bMy8OldQ:rhoC9JSqzzbs6o3Sj3gcrs+2eAG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184446:RxYLRchJyEhAnIgMGiCMFBEAmCZhYCgEAHccUAjMEYwSYoeEA4NBMIQDpIAg4ApJEC112BQoIgo9Fo7Sc5CWwjgAGTRYCikC

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#bf8c40

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data