ScanMalware.com

Security Scan Report: facebook-gamma-tawny.vercel.app

Redirected to:
https://facebook-gamma-tawny.vercel.app/
Submitted: Sep 6, 2026, 1:45:06 AMCompleted: Sep 6, 2026, 1:46:28 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/dc8d15df-3078-4156-a52a-251ae701ec50Domain and IP registration (RDAP)/api/v1/rdap/dc8d15df-3078-4156-a52a-251ae701ec50Certificate Transparency/api/v1/ct/facebook-gamma-tawny.vercel.appHow often this domain was scanned/api/v1/domain/stats/facebook-gamma-tawny.vercel.appScan history for this domain/api/v1/domain/history/facebook-gamma-tawny.vercel.app?limit=15

This website contacted 8 IPs in 1 country across 5 domains to perform 37 HTTP transactions. The main domain is facebook-gamma-tawny.vercel.app and was registered 10 years ago.

Submitted URL: http://facebook-gamma-tawny.vercel.app/

Effective URL:

https://facebook-gamma-tawny.vercel.app/
Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Page shows no malicious content or credential harvesting; low risk despite unknown subdomain age.

Safety Factors
No forms or credential collection
No malicious IoC or malware detections
No suspicious external links
Domain age information unavailable

Details

Page Title

Document

Scan Type

public

Domain Name Analysis

The domain 'facebook-gamma-tawny.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'facebook-gamma-tawny'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four 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-gamma-tawny.vercel.app/

Page Load Overview

3.50s
Total Load Time
3.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:813 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media70% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
70%
adult content
67%
social media network
54%
documentation technical
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.29.17.195United States
AS16509Amazon.com, Inc.
4104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
4104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4192.178.183.94Google · CDNUnited States
AS15169Google LLC
4216.198.79.195United States
AS16509Amazon.com, Inc.
378--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10682F06090F311FB0887A4D029226F4BBED19907C66B970A3AFD4BD95FC7C82DE67158

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3pRQiS1ktEtC1C1BtlA1hywsS7dFkJ1fl1k5xfE1JNHtWgw142bdJ1x:3pRQiS1ktEtC1C1BtlA1hywsS7dFkJ1Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17988:DlIoSAlAsosAkDkITCgDAMwEmiQRgCaGHpAkEBEcAxC1xIgEBDQE0SGsgqCUJIlnJhSDggQ0wlwEQIAQgGRDAUDzENpwpkCY

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:ffc4fcffffdffdc4
Perceptual Hash:d25366a9ad89cc56
Difference Hash:a28c04b09d999584
Wavelet Hash:7fc0fc5e454ec4c0
Color Hash:#93251f

Other Hashes

Crop Resistant:a28c04b09d999584,0d48657079f89321

Scan History

Scan history not available

Unable to load historical scan data