Security Scan Report: ip0q3v1s-cg18.vercel.app

Redirected to:
https://ip0q3v1s-cg18.vercel.app/10007745768379/trnbugwqA9454m2fLoBp.h...
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Submitted: Aug 22, 2026, 12:45:42 PMCompleted: Aug 22, 2026, 12:49:26 PMpubliccompleted

This website contacted 1 IP in 1 country across 4 domains to perform 19 HTTP transactions. The main domain is ip0q3v1s-cg18.vercel.app and was registered 10 years ago.

Submitted URL: https://ip0q3v1s-cg18.vercel.app/

Effective URL:

https://ip0q3v1s-cg18.vercel.app/10007745768379/trnbugwqA9454m2fLoBp.h...
Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page impersonates Meta and harvests credentials on an unknown‑age subdomain – high risk of phishing.

Risk Factors (4)
Brand impersonation
Credential collection form
Unranked / unknown‑age subdomain
Lack of reputation signals
Domain age information unavailable

Details

Page Title

Advertising Policies Help

Scan Type

public

Domain Name Analysis

You're looking at domain 'ip0q3v1s-cg18.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'ip0q3v1s-cg18'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ip0q3v1s-cg18.vercel.app/

Page Load Overview

5.46s
Total Load Time
402 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:vi
Text Length:4,015 chars
Detector Agreement:75%
Language mismatch: Declared as vi but detected as en

Website Classification

Primary Category

social media network53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
53%
technology software
31%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19216.198.79.131United 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

T145E0615DEC80900AD35417192CF471094951E659FB1CD930E8C510A85EE47D68993754

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRY+SZJRgsWJFhU0K1yqOXMxCwWMWx1Q0VG:hRY+SbRAJFh3+CXMxCzQ0VG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:79c9a39e4bd393c32e775184176beb98

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:bc3c30c3c3c7c7c4
Difference Hash:4e3e262e0a0a0a0a
Wavelet Hash:a6828283e3e3e7e3
Color Hash:#bf5e40

Other Hashes

Crop Resistant:4e3e262e0a0a0a0a

Scan History

Scan history not available

Unable to load historical scan data