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: 78%

5
Risk Score

The site shows no malicious forms or code but is an unranked Vercel subdomain of unknown age, warranting moderate risk.

Risk Factors (2)
Unranked domain
Unknown subdomain age
Safety Factors (4)
No forms or credential collection
No malicious JavaScript or network activity
No external links or IoC matches
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'. The second-level label 'vercel' is 6 characters long split between 2 vowels and four consonants. Tokenizing the label suggests two 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 https://filefiles.vercel.app/?id=abuse@optusnet.com.au

Page Load Overview

2.69s
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
1364.29.17.3United 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

T1E522B9709104DD6EA8278BA861B9BE3B50CDC3AFC61A846CE6DDC61117C2D74DDA39C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GONIZu/nBYlk195YxPvNIMi3uyd3f2fgnqzcpm0bKge:LNeuPBYWYxP1lIurGBK3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10877:hCBgIIQBh4x1GWBSYkIikgp8HtEGhpAAGBQipkAAyEEADYoBNeKDA7giESlAygIIMQCI2AklQQhDQsIJhwwJb7JapMSUZCSV

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:#a0d279

Other Hashes

Crop Resistant:6924263ac0200000

Scan History

Scan history not available

Unable to load historical scan data