Security Scan Report: facebook-old-login-page-suhaib-nadakkavils-projects.vercel.app

Redirected to:
https://facebook-old-login-page-suhaib-nadakkavils-projects.vercel.app...
Submitted: Sep 6, 2026, 2:45:39 AMCompleted: Sep 6, 2026, 2:49:09 AMpubliccompleted

This website contacted 6 IPs in 1 country across 3 domains to perform 8 HTTP transactions. The main domain is facebook-old-login-page-suhaib-nadakkavils-projects.vercel.app and was registered 20 years ago.

Submitted URL: http://facebook-old-login-page-suhaib-nadakkavils-projects.vercel.app/

Effective URL:

https://facebook-old-login-page-suhaib-nadakkavils-projects.vercel.app...
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Page impersonates Facebook, collects credentials via a login form with disguised password field; high risk of credential phishing.

Risk Factors
Disguised password field (type=text with password placeholder)
Unicode evasion in form inputs
Unranked domain and subdomain on shared hosting platform
Brand impersonation of a major brand (Facebook) on unknown‑age subdomain
Domain age information unavailable

Details

Page Title

Document

Scan Type

public

Domain Name Analysis

Domain 'facebook-old-login-page-suhaib-nadakkavils-projects.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'facebook-old-login-page-suhaib-nadakkavils-projects'. Count 6 characters in 'vercel' holding two vowels versus 4 consonants. Splitting it apart reveals 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://facebook-old-login-page-suhaib-nadakkavils-projects.vercel.app/

Page Load Overview

6.05s
Total Load Time
116 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:447 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
80%
entertainment media
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.131United States
AS16509Amazon.com, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.3United States
AS16509Amazon.com, Inc.
1216.198.79.3United States
AS16509Amazon.com, Inc.
86--

Detected Technologies3

JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14491240030F0AD6215434DD466927E5B6FE4C627D20620447CED5BFE1FA3C8AC6372AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Tnn8j4vE2vIfy0GlZaDkdmdUtvl/heINiusMuvpsDtS6oRy:Tn8svVvAtStvlZwyuv2DIjy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4367:AVICREAgigQwBAChGgAAgCRBgjgAQBrIACAIYmgSAEIaYAsAkQCgAIAAAFAAAAgSAAJGAgQCoQCghIiQQFQJ4ggCQjQAAABK

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:00bf1f1f3ff3ffff
Perceptual Hash:9f1ff060521f1e1a
Difference Hash:99666c6466866800
Wavelet Hash:001f1f1f0100ffff
Color Hash:#d2be79

Scan History

Scan history not available

Unable to load historical scan data