Security Scan Report: kzzj78v-h16v.vercel.app

Redirected to:
https://kzzj78v-h16v.vercel.app/10036336654379/vbaAt4hijkHG48vDBbvdM3....
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://kzzj78v-h16v.vercel.app/

Effective URL:
https://kzzj78v-h16v.vercel.app/10036336654379/vbaAt4hijkHG48vDBbvdM3....
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Meta 'Privacy Centre' appeal page on vercel.app impersonating Meta and harvesting account credentials plus email/SMS verification codes under threat of account deletion. Do not enter any data.

Risk Factors (5)
Impersonation of Meta brand on a non-Meta domain
Credential and verification-code harvesting form (password + 7 email fields + phone)
Account-deletion urgency/threat used as coercion
Unknown-age subdomain on a shared hosting platform abused for phishing
Network IDS flagged traffic to vercel.app abused cloud hosting service
Domain age information unavailable

Details

Page Title

Meta | Privacy Centre

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'kzzj78v-h16v.vercel.app' is registered with subdomain 'kzzj78v-h16v'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kzzj78v-h16v.vercel.app/

Page Load Overview

0.16s
Total Load Time
402 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:vi
Text Length:4,006 chars
Detector Agreement:100%
Language mismatch: Declared as vi but detected as en

Website Classification

Primary Category

social media network64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
64%
technology software
44%
documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.3Aws · 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.
2172.67.180.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.21.31.228Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
199--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA5384B252F8227F506382C1AA275F0A3BE6E997E622456572BD17B41FE7CD3F807014

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:cJ2lCHX1gWFinXX9gJwVH+qpBohQl13qF2hnjh:c8VH+qpKhQl13Fh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62722:Ag0ELBDMCwKhdAFwgrMED6gCIkICAAYGCwMJDUJcRLIlBgMkLCGA8BBmBCOyYbETQUAEoAQIOCGaCRikiFcGgukqYAB3wZ4R

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:e78783e3ffefefef
Perceptual Hash:b43c30c3c3c7c7c5
Difference Hash:4e3e260e090a0a0a
Wavelet Hash:a6828283e3e3e3e7
Color Hash:#ac9753

Other Hashes

Crop Resistant:4e3e260e090a0a0a

Scan History

Scan history not available

Unable to load historical scan data