Security Scan Report: wcel17yenf-h01f.vercel.app

Redirected to:
https://wcel17yenf-h01f.vercel.app/10025078036/hsg5hwabt3bgfdsht5dfA.h...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 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://wcel17yenf-h01f.vercel.app/

Effective URL:
https://wcel17yenf-h01f.vercel.app/10025078036/hsg5hwabt3bgfdsht5dfA.h...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake Meta ad-account appeal page on a vercel.app subdomain that harvests logins, contact details and 2FA codes using deletion threats. Do not enter any information.

Risk Factors (5)
Impersonation of Meta's brand (Privacy Center / Advertising Standards) on a domain that is not Meta's
Form collecting password, multiple emails, phone number and 2FA verification codes
Account-deletion threat used to pressure victims into submitting credentials
Free shared-hosting subdomain (vercel.app) with randomized name and no reputation
Randomized HTML path consistent with a mass-deployed phishing kit
Domain age information unavailable

Details

Page Title

Meta Advertising Standards

Scan Type

public

Domain Name Analysis

You're looking at domain 'wcel17yenf-h01f.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'wcel17yenf-h01f'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wcel17yenf-h01f.vercel.app/

Page Load Overview

0.32s
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
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.69.226Cloudflare · 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.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.21.31.228Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
199--

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:#2dd298

Other Hashes

Crop Resistant:0e3e260e090a0a0b

Scan History

Scan history not available

Unable to load historical scan data