Security Scan Report: www.verification-support-blu.vercel.app

Redirected to:
https://verification-support-blu.vercel.app/
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Submitted: Sep 27, 2026, 12:45:35 AMCompleted: Sep 27, 2026, 12:47:25 AMpubliccompleted

This website contacted 17 IPs in 1 country across 12 domains to perform 26 HTTP transactions. The main domain is verification-support-blu.vercel.app and was registered 13 years ago.

Submitted URL: http://www.verification-support-blu.vercel.app/

Effective URL:

https://verification-support-blu.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Brand-impersonation phishing page falsely posing as Meta Verified support to harvest verification requests; flagged by Safe Browsing for Social Engineering. Avoid interaction and report.

Risk Factors (5)
Safe Browsing Social Engineering / phishing classification
Impersonation of Meta (different entity) on a mismatched vercel.app domain
Data-solicitation lure using fake support ticket and verification urgency
Unranked domain with no reputation and no verifiable ownership
Shared hosting subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

Domain 'www.verification-support-blu.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.verification-support-blu'. The registrable portion 'vercel' spans 6 characters with two vowels and four consonants. Splitting it apart reveals two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.verification-support-blu.vercel.app/

Page Load Overview

13.68s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,690 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
52%
documentation technical
47%
corporate business
44%
technology software
42%
social media network
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.101Google · CDNUnited States
AS15169Google LLC
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1142.251.127.94Google · CDNUnited States
AS15169Google LLC
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1142.251.150.119Google · CDNUnited States
AS15169Google LLC
2617--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129921A226664002ABE83C1E1EDE1726D7446E2C7C72AD9E4BFCC1112BFD7DE604D6644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tdZOMhL7OhRO4HM9Yojk/jlmwLAYRfhyUaO7Ry:tdZOMhnOhRDOYr/jJiUR7Ry

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20241:gygGFYSJCUFiLANGTQUaGiJjaERCXYQ1tGBKChBBVlQEAYEJQKbGJMGSAjpgAE5AXcAgQMCcLI5RBAtKlwOCRlxEiJNCNChU

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:ffffffcfcfffffff
Perceptual Hash:b131cec63131cece
Difference Hash:0010001a1a001000
Wavelet Hash:f0f0f0c0c0f0f0f0
Color Hash:#ac5391

Other Hashes

Crop Resistant:0010001a1a001000

Scan History

Scan history not available

Unable to load historical scan data