Security Scan Report: esye39vumx-h01x.vercel.app

Redirected to:
https://esye39vumx-h01x.vercel.app/10025078036/hsg5hwabt3bgfdsht5dfA.h...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 4 domains to perform 19 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://esye39vumx-h01x.vercel.app/

Effective URL:
https://esye39vumx-h01x.vercel.app/10025078036/hsg5hwabt3bgfdsht5dfA.h...
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Meta 'ad account deletion' appeal page on a random vercel.app subdomain that imitates Meta's Privacy Center and harvests emails, phone numbers, verification codes and a password. Brand impersonation plus credential capture — do not enter any information.

Risk Factors (5)
Impersonation of Meta's brand and Privacy Center on a non-Meta domain
Credential collection form (password + multiple email fields) combined with brand impersonation
Urgency/threat language about imminent deletion of the user's account and pages
Randomized subdomain and page path on a free hosting platform
Subdomain creation date unknown (vercel.app tenant) so the page could be minutes old
Domain age information unavailable

Details

Page Title

Meta Advertising Standards

Scan Type

public

Domain Name Analysis

The domain name 'esye39vumx-h01x.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'esye39vumx-h01x'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. Splitting it apart reveals two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://esye39vumx-h01x.vercel.app/

Page Load Overview

0.39s
Total Load Time
403 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:vi
Text Length:4,012 chars
Detector Agreement:100%
Language mismatch: Declared as vi but detected as en

Website Classification

Primary Category

social media network57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
57%
technology software
37%
documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.180.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.21.31.228Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
198--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D55384B252F8227F506382C1AA275B0A3BE6E997E622456573BD17B41FE7CD3F807014

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:NJ2lCHX1gWFinXN9gJlYKH+qpBaDQl13qF2hXjh:f/NH+qpUDQl13dh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62737:REIJKISAAviREDYZGQeWGSmrslCAwAG8iKAFRhGARAAZE5GR6oqAjzZiIlEdRiwQFaAiICBFzJGEEBgIEDHwIyhsIjJJDLdC

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:e78783e3efefefef
Perceptual Hash:b43c30c3c3c7c7c5
Difference Hash:0e3e260e090a0a0b
Wavelet Hash:a6828283e3e3e3e7
Color Hash:#785b3a

Other Hashes

Crop Resistant:0e3e260e090a0a0b

Scan History

Scan history not available

Unable to load historical scan data