Security Scan Report: incolight.vercel.app

Submitted: Sep 6, 2026, 2:45:15 PMCompleted: Sep 6, 2026, 2:46:39 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates Adobe, harvests passwords on an unknown-age Vercel subdomain; treat as high‑risk phishing.

Risk Factors
Brand impersonation on an unranked domain
Credential harvesting form (password-only field)
Unknown subdomain age on shared hosting platform
Domain age information unavailable

Details

Page Title

Adobe Reader - Shared Document

Scan Type

public

Domain Name Analysis

The domain name 'incolight.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'incolight'. The core label 'vercel' covers 6 characters holding 2 vowels versus 4 consonants. Word splitting yields two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://incolight.vercel.app/

Page Load Overview

2.95s
Total Load Time
318 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:562 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software62% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
62%
documentation technical
52%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1151.101.65.229Fastly · CDNUnited States
AS54113Fastly, Inc.
1216.198.79.131United States
AS16509Amazon.com, Inc.
1104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
54--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158F2DA3569792035BADF8693F19E0B073D628803DD07B11075BD935D4FA9BCEC1B26A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:stpJEivCb2JS/fzZSw0RPtFOy5tcwxm+V/+GunZnezDtTpByEF:Y1S3wwsbxm+V/+GunZO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35507:FUCH8kAQBFQ+EGIcQBTIJRONoVoERqsZltABQQitONABFR0yCAYAgESACN3K6OBAWH6AFIoGKDoABuUBAAgpbCCfEKAMkEoW

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:ffffe7c3ffffffff
Perceptual Hash:e666999966662699
Difference Hash:00000c0c00000000
Wavelet Hash:f0f0fcc0f0f0f0f0
Color Hash:#783a55

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data