Security Scan Report: ge2nyj6ay04qz1fr.654www.www.www.status.admin.as.152-53-37-155.plesk.page

Redirected to:
https://ge2nyj6ay04qz1fr.654www.www.www.status.admin.as.152-53-37-155....
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Submitted: Sep 23, 2026, 2:11:40 AMCompleted: Sep 23, 2026, 2:12:36 AMpubliccompleted

This website contacted 27 IPs in 2 countries across 21 domains to perform 92 HTTP transactions. The main domain is ge2nyj6ay04qz1fr.654www.www.www.status.admin.as.152-53-37-155.plesk.page and was registered 23 years ago.

Submitted URL: http://ge2nyj6ay04qz1fr.654www.www.www.status.admin.as.152-53-37-155.plesk.page/s

Effective URL:

https://ge2nyj6ay04qz1fr.654www.www.www.status.admin.as.152-53-37-155....
Redirected

AI Security Verdict

High Risk

Confidence: 55%

7
Risk Score

Unranked instant-subdomain utilities page ('Reds Exploit Corner') offering tab cloaking, about:blank and panic-key evasion — deceptive but with no credential harvesting, malware or threat-intel hits.

Risk Factors
Deceptive tab cloaking (title/icon spoofing) designed to disguise the page as Google
Quick-exit 'panic key' and about:blank redirection aimed at evading supervision
Randomised, bulk-registered style hostname on a shared instant-subdomain platform
Unknown age of the actual page content (apex age belongs to the hosting platform, not this page)
Domain age information unavailable

Details

Page Title

Google

Scan Type

public

Domain Name Analysis

The domain name 'ge2nyj6ay04qz1fr.654www.www.www.status.admin.as.152-53-37-155.plesk.page' uses the .page top-level domain, featuring subdomain 'ge2nyj6ay04qz1fr.654www.www.www.status.admin.as.152-53-37-155'. The second-level label 'plesk' is 5 characters long containing one vowel alongside 4 consonants. Segmentation suggests two words: pl, esk. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ge2nyj6ay04qz1fr.654www.www.www.status.admin.as.152-53-37-155.plesk.page/s

Page Load Overview

2.51s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:879 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software55% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
55%
entertainment media
52%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14152.53.37.155Manassas, Virginia, United States
AS214996netcup GmbH
3151.101.65.229Fastly · CDNUnited States
AS54113Fastly, Inc.
3104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
3140.82.121.5Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
3104.21.26.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.250.154.97Google · CDNUnited States
AS15169Google LLC
3188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.110.94Google · CDNUnited States
AS15169Google LLC
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9227--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141E06886AC00D81D81213631FC94F019C084C69DD34CAAA468A410BC16D4BB984E7C78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIYxwBfAbpli7vuXZECLKT/qzqmwrcTPLKT6NwKdOvfWHwy4pUuB9d:hRxwOy7WX2CF+Gu3WOpUG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:d23cc10959632aca621ec71037d0f8fd

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data