Security Scan Report: www.upgradetheprofilepage.vercel.app

Redirected to:
https://upgradetheprofilepage.vercel.app/
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Submitted: Sep 27, 2026, 12:45:20 AMCompleted: Sep 27, 2026, 12:46:59 AMpubliccompleted

This website contacted 14 IPs in 2 countries across 8 domains to perform 244 HTTP transactions. The main domain is upgradetheprofilepage.vercel.app and was registered 21 years ago.

Submitted URL: http://www.upgradetheprofilepage.vercel.app/

Effective URL:

https://upgradetheprofilepage.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Fake 'Meta Verified' page on a vercel.app subdomain impersonating Meta and harvesting passwords/2FA codes — brand impersonation plus credential capture. Do not enter any login details.

Risk Factors (5)
Brand impersonation of Meta on a non-Meta domain
Password field plus 2FA code collection (credential harvesting)
Unranked, non-brand domain on a shared hosting platform subdomain
Copied Meta meta tags/OG tags to appear official
Right-click blocking and external IP-lookup script (ipwho.is)
Domain age information unavailable

Details

Page Title

Meta Verified for businesses | Verify your business on Facebook, Instagram and WhatsApp | Meta for Business

Scan Type

public

Domain Name Analysis

The domain name 'www.upgradetheprofilepage.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.upgradetheprofilepage'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.upgradetheprofilepage.vercel.app/

Page Load Overview

35.91s
Total Load Time
3.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:11,954 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
82%
corporate business
71%
technology software
59%
documentation technical
55%
government public service
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1764.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17142.251.13.95Google · CDNUnited States
AS15169Google LLC
17104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17172.67.180.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
17104.26.14.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17172.66.175.107Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17142.250.154.95Google · CDNUnited States
AS15169Google LLC
17172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
24414--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T100D3943562E5117B943382C3B966BF1679E2A15BEE028586BBFD03652FDACC73C43418

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qvjhHQYxSonvnd4IIgOdpIM5up7mh7ci5sAGBVOvWmCGXHJRj:WhHQYxSovndq5GoTHJZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:133991:FEqtjB8ACBBzLg4DBgAoAsbOgawDAgBGsQkhEAmiBEGQ1RKwEsAVsMqPIKNDRhMJCAuNIKAWwI6UGpk+AUAh5EwYjgxAUAwJ

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:ffe3e1e1e1b9f9fd
Perceptual Hash:ee25919a96899b72
Difference Hash:7407476729633109
Wavelet Hash:3ee1a18181b1f9f9
Color Hash:#71ac53

Scan History

Scan history not available

Unable to load historical scan data