Security Scan Report: doboski.top

Redirected to:
https://doboski.top/adobe%20detect/adobe/download.html
Submitted: Oct 14, 2026, 6:27:11 AMCompleted: Oct 14, 2026, 6:27:43 AMpubliccompleted

This website contacted 5 IPs in 2 countries across 4 domains to perform 9 HTTP transactions. The main domain is doboski.top and was registered 18 years ago.

Submitted URL: https://doboski.top/adobe%20detect/adobe/

Effective URL:

https://doboski.top/adobe%20detect/adobe/download.html
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake Adobe document-download page on a 29-day-old, unranked domain using Adobe branding and a 'secured document' lure; no credentials collected here, but the download is untrusted and likely malicious.

Risk Factors (5)
Impersonation of Adobe's brand and document-download flow on a non-Adobe domain
'Secured document ready for download' lure with a download button — classic vector for delivering a malicious payload
Domain registered 29 days ago (VERY_NEW) and unranked, inconsistent with a genuine Adobe service
Generic/unrelated page title indicating a hastily assembled template
Network IDS flagged DNS/HTTP traffic to a *.top domain (weak generic signal, treated as corroborating only)
Domain age information unavailable

Details

Page Title

Background Image Page

Scan Type

public

Domain Name Analysis

The domain name 'doboski.top' uses the .top top-level domain while skipping any subdomain. The registrable portion 'doboski' spans 7 characters containing three vowels alongside 4 consonants. Segmentation suggests 3 words: do, bo, ski. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://doboski.top/adobe%20detect/adobe/

Page Load Overview

0.37s
Total Load Time
151 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:329 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical42% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
42%
healthcare medical
36%
technology software
35%
government public service
31%
news media journalism
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5131.143.125.254Frankfurt am Main, Hesse, Germany
AS400992ZhouyiSat Communications
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
95--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D61524BA9F3045B790790716BF36B062665D043D20ACA5D3FBD62E8CF85A9844B73CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TBr+5LMAFtyizQfYn9lPh7TsF8tUPC/tWyN8y7euXDc:TBr0z9zQfk9lFoF8tUPGtWyneuXDc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3305:FAgBIUAZAAIAIAgEAAAAACBAEVAAZJAIQAIIDQgkhgVCWAAQgEiDAKAIUGICQEAACQAYAkQAICgSBkKAogAAAGAACAAAAABg

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:00001c3c3c3c0000
Perceptual Hash:9c1c6363ed9c9c98
Difference Hash:c4b23232b2aab084
Wavelet Hash:000e3e3e3e3e427e
Color Hash:#3a785b

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data