Security Scan Report: wh1562215.ispot.cc

Redirected to:
https://wh1562215.ispot.cc/Adobe/pages/index.php?vtoken=e9554e42119489...
Submitted: Sep 30, 2026, 3:18:19 PMCompleted: Sep 30, 2026, 3:19:02 PMpubliccompleted

This website contacted 16 IPs in 1 country across 11 domains to perform 37 HTTP transactions. The main domain is wh1562215.ispot.cc and was registered 29 years ago.

Submitted URL: https://wh1562215.ispot.cc/Adobe/pages/github/index.html#[email protected]

Effective URL:

https://wh1562215.ispot.cc/Adobe/pages/index.php?vtoken=e9554e42119489...
Redirected

The Cisco Umbrella rank of the primary domain is #562,154 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 82%

5
Risk Score

Targeted phishing lure: a fake 'PDF Viewer' on wh1562215.ispot.cc carries a victim's email, demands 'email verification', is Windows-only and pushes browser-download pages while blocking DevTools. Avoid and report.

Risk Factors (5)
Targeted victim email used as a phishing URL token
Email-verification lure with no legitimate verification mechanism
DevTools and right-click blocking (anti-analysis)
Windows-only desktop requirement and browser-download redirect funnel
Fake PDF/file-viewer interface on a non-file-sharing host
Safety Factors (4)
Hosting domain is 11 years old and moderately ranked
External script hosts limited to Google fonts/static resources
No credential, password or payment form fields present in the captured DOM
Established domain (4359 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

The domain 'wh1562215.ispot.cc' uses the .cc country-code top-level domain and includes subdomain 'wh1562215'. The registrable portion 'ispot' spans 5 characters split between two vowels and three consonants. Word splitting yields 2 words: is, pot. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wh1562215.ispot.cc/Adobe/pages/github/index.html#email=acelaya@infomanagerinc.com

Page Load Overview

0.77s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:989 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
86%
documentation technical
83%
corporate business
40%
adult content
29%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
766.45.233.219United States
AS19318Interserver, Inc
2142.251.154.119Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2172.67.68.67Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.250.154.104Google · CDNUnited States
AS15169Google LLC
2142.251.13.105Google · CDNUnited States
AS15169Google LLC
2142.251.110.104Google · CDNUnited States
AS15169Google LLC
2142.251.156.119Google · CDNUnited States
AS15169Google LLC
2142.251.110.94Google · CDNUnited States
AS15169Google LLC
2142.251.150.119Google · CDNUnited States
AS15169Google LLC
3716--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10094DF9998B731326E63A0B96B2F73143734D013D148DD58398C87A49FE2B618DB7B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:WcrK3P7yVtTdyLkH7jVgEH1Tszg2rWS4wAB3sGnGf8d97MuCycqiG:ZgLk/VgEH1TWfOLnxqycqh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:440907:zULACA8IS4IAyAiBIgTAGKABRgYIW6CBBAWWAoIAAHSjDEtgbbkBjARb/QMyYJgGFNFgKgxgOIoVmJQOAJcMBcABAlQAACEB

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:809c9c9c9c9c1c1c
Perceptual Hash:deff217361616700
Difference Hash:35313131313131b1
Wavelet Hash:9c9e9c9c9c9c9c1c
Color Hash:#732d86

Scan History

Scan history not available

Unable to load historical scan data