Security Scan Report: filefiles.vercel.app

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://filefiles.vercel.app/[email protected]

AI Security Verdict

Moderate Risk

Confidence: 68%

5
Risk Score

The site shows no malicious activity but its unranked, unknown-age subdomain on a hosting platform warrants moderate caution.

Risk Factors (2)
Unranked subdomain on a generic hosting platform
Unknown subdomain age
Safety Factors (3)
No forms collecting credentials or payments
No malicious JavaScript or Indicators of Compromise detected
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 5
Domain age information unavailable

Details

Page Title

My Drive

Scan Type

public

Domain Name Analysis

The domain name 'filefiles.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'filefiles'. Count 6 characters in 'vercel' with two vowels and 4 consonants. Breaking it apart gives two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://filefiles.vercel.app/?id=abuse@optusnet.com.au

Page Load Overview

3.28s
Total Load Time
283 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:144 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

download file sharing
98%
documentation technical
66%
corporate business
61%
finance banking
34%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1364.29.17.67United States
AS16509Amazon.com, Inc.
131--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C32B970A504DE2E98278B9861BDBE3E50CDC3AFC629846CA6DDC61117C2974DEA39C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GONIZunbnBYlk195YxPvNIMi3uyd3f2fgnqzcpm0bKge:LNeun7BYWYxP1lIurGBK3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11036:ATac5AGhl6AEIGgOKDigKaIBVSLCgCSIGgyHQECkVAS9ZCIhjICswZQCCzAwgREKJ8NcEINCQEJoQYlNQgtNSURAnFFgWEBG

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:bd97939fffffffff
Perceptual Hash:bc3cc3c3c31e3c2c
Difference Hash:6924263ac0200000
Wavelet Hash:0c16000af0f0f0f0
Color Hash:#c5b187

Other Hashes

Crop Resistant:6924263ac0200000

Scan History

Scan history not available

Unable to load historical scan data