ScanMalware.com

Security Scan Report: facebook-five-nu.vercel.app

Site favicon
Submitted: Jul 10, 2026, 12:45:10 AMCompleted: Jul 10, 2026, 12:46:55 AMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 1 country across 4 domains to perform 62 HTTP transactions. The main domain is facebook-five-nu.vercel.app and was registered NaN years ago.

Submitted URL: https://facebook-five-nu.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site mimics Facebook branding on an unranked Vercel subdomain without collecting data; treat as moderate risk.

Risk Factors
Brand impersonation of a major entity
Unranked / low‑reputation domain
Unknown subdomain age on a hosting platform
Safety Factors
No forms collecting credentials or payments
No malicious JavaScript or external IoC links
No network IDS or malware detections
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

facebook

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(86%)

Domain Information

You're looking at domain 'facebook-five-nu.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'facebook-five-nu'. The second-level label 'vercel' is 6 characters long with two vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://facebook-five-nu.vercel.app/

Page Load Overview

25.76s
Total Load Time
62
HTTP Requests
4
Domains
8.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:933 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software86% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
86%
social media network
85%
healthcare medical
43%
documentation technical
35%
news media journalism
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10142.250.154.95Google · CDNUnited States
AS15169Google LLC
10216.198.79.131United States
AS16509Amazon.com, Inc.
10142.251.20.94Google · CDNUnited States
AS15169Google LLC
10104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1064.29.17.131United States
AS16509Amazon.com, Inc.
626--

Detected Technologies3

X-UA-Compatible
100%
Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18092D16064F655A754C6A1C1AE30BF9B3F85EA03C91A290137BD0FC9AF97D87CD13A09

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nCbCHJkzMjE0KjK9fRU0Pam2uo9lH5yC5J5s353f53f53f566KFdrdWinK:CbWJWP/w7V2uqH0Cba3RRRidrdWqK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19834:gIOFCoagO5Qm0QUCMTfKIAsMvCgwBgwgLgRwECi4AgY0RqiZ4oheCCBxAUgiVIgIsYOgYLcD4AADAQSISWcgTaYKJEIElAE2

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:c7c1ffffffe1c1cf
Perceptual Hash:e992396d9699c692
Difference Hash:9f8bcdb1a3238b9b
Wavelet Hash:c1c0e0ffff8141c3
Color Hash:#783a4a

Other Hashes

Crop Resistant:9f8bcdb1a3238b9b,4b192b6b6b8b9a1b,666b1e164c55939b,f3f3d9e7ffff9efd,829a919319585d6d

Scan History

Scan history not available

Unable to load historical scan data