Security Scan Report: aheruw1.vercel.app

Redirected to:
https://aheruw1.vercel.app/
Submitted: Sep 23, 2026, 12:45:13 AMCompleted: Sep 23, 2026, 12:45:53 AMpubliccompleted

This website contacted 5 IPs in 2 countries across 3 domains to perform 6 HTTP transactions. The main domain is aheruw1.vercel.app and was registered 15 years ago.

Submitted URL: http://aheruw1.vercel.app/

Effective URL:

https://aheruw1.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Fake 'Adobe Reader' shared-document page on an unranked vercel.app subdomain uses Adobe branding plus a password-type access-code gate to harvest entered codes. No IoC or YARA hits, but brand impersonation + credential field warrant avoidance.

Risk Factors
Adobe brand impersonation on a non-Adobe, unranked domain
Password-type access-code field with no username — credential/code harvesting pattern
Fake 'shared document' access gate styled as Adobe Acrobat
Unknown page creation date behind an anonymous free-hosting subdomain
Domain age information unavailable

Details

Page Title

Adobe Reader - Shared Document

Scan Type

public

Domain Name Analysis

The domain 'aheruw1.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'aheruw1'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Word splitting yields two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://aheruw1.vercel.app/

Page Load Overview

1.19s
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
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.16.79.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
65--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18DF2DA3569792035BADF8693F19E0B0B3D628803DD07B11075BD935D4FA9BCEC1B26A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:stpJEivCb2JV/fzZSw0RPtFOy5tcwxm+V/+GunZnezDtTpByEF:Y1V3wwsbxm+V/+GunZO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35525:BFDiw4RKCGRqAEKDEOTDwMXUZYJI9QMrFGCUoI6YkAcRDxFPmgYSQgDApcCMMDIfCKQwJAEoCwjARISQlBBI1CCFAgFMgYGD

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:#931f6f

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data