Security Scan Report: znvqk1ntppxkjsv31jos0vlgeyclufl5hjsf7-cg1108s.vercel.app

Redirected to:
https://znvqk1ntppxkjsv31jos0vlgeyclufl5hjsf7-cg1108s.vercel.app/10003...
Site favicon
Submitted: Aug 17, 2026, 12:25:53 PMCompleted: Aug 17, 2026, 12:29:36 PMpubliccompleted

This website contacted 1 IP in 1 country across 4 domains to perform 19 HTTP transactions. The main domain is znvqk1ntppxkjsv31jos0vlgeyclufl5hjsf7-cg1108s.vercel.app and was registered 6 years ago.

Submitted URL: https://znvqk1ntppxkjsv31jos0vlgeyclufl5hjsf7-cg1108s.vercel.app/

Effective URL:

https://znvqk1ntppxkjsv31jos0vlgeyclufl5hjsf7-cg1108s.vercel.app/10003...
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

High‑risk site impersonating Meta with a password form; flagged by Safe Browsing as social engineering.

Risk Factors (4)
Brand impersonation on a non‑official domain
Credential collection (password field) on impersonating site
Unranked subdomain on a hosting platform
Google Safe Browsing social engineering warning
Domain age information unavailable

Details

Page Title

Meta Business Help Center

Scan Type

public

Domain Name Analysis

You're looking at domain 'znvqk1ntppxkjsv31jos0vlgeyclufl5hjsf7-cg1108s.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'znvqk1ntppxkjsv31jos0vlgeyclufl5hjsf7-cg1108s'. The registrable portion 'vercel' spans 6 characters with two vowels and four consonants. Segmentation suggests 2 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 https://znvqk1ntppxkjsv31jos0vlgeyclufl5hjsf7-cg1108s.vercel.app/

Page Load Overview

0.35s
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:4,015 chars
Detector Agreement:100%
Language mismatch: Declared as vi but detected as en

Website Classification

Primary Category

social media network46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
46%
technology software
36%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1964.29.17.195United States
AS16509Amazon.com, Inc.
191--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C95384B252F8227F506382C1AA275B0A3BE6E997E622456573BD17B41FE7CD3F807014

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OJ2lCHX1gWFinXN9gJlUH+qpBaDQl13lF2h1jh:a/UH+qpUDQl13ih

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62727:EkuR92mwzMOEOkviCAIAA+ZBhAQAYkXHJpSOAABSSwrAmbUD6AAQwKowNEQAhQSAOwCGACSARGyWIi/TYJmFAXWURDCEAAD0

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:e78383e3ffefefef
Perceptual Hash:bc3c30c3c3c7c7c4
Difference Hash:0e3e262e090a0a0a
Wavelet Hash:a6828283e3e3e3e3
Color Hash:#862d64

Other Hashes

Crop Resistant:0e3e262e090a0a0a

Scan History

Scan history not available

Unable to load historical scan data