Security Scan Report: abolekever.blogspot.be

Redirected to:
https://appdkbkun.sytes.net/dkb/app/de/
Submitted: Feb 10, 2026, 1:24:16 PMCompleted: Feb 10, 2026, 1:26:25 PMpubliccompleted

This website contacted 1 IP in 1 country across 7 domains to perform 11 HTTP transactions. The main domain is appdkbkun.sytes.net and was registered 27 years ago.

Submitted URL: https://abolekever.blogspot.be

Effective URL:

https://appdkbkun.sytes.net/dkb/app/de/
Redirected

The Cisco Umbrella rank of the primary domain is #711,737 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site redirects to a known malicious domain and is high risk; do not visit

Risk Factors
Malicious Indicators of Compromise match (sytes.net)
Excessive redirects (4)
Low domain reputation ranking
Final destination unreachable (404)
Domain age information unavailable

Details

Page Title

abolekever.blogspot.besecondary capture

Scan Type

public

Domain Name Analysis

Within the Belgian country-code top-level domain (.be), 'abolekever.blogspot.be' is registered with subdomain 'abolekever'. The core label 'blogspot' covers 8 characters with 2 vowels and 6 consonants. Word splitting yields one word: blogspot. Median word length comes out to eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://abolekever.blogspot.be

Page Load Overview

9.63s
Total Load Time
120 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Text Length:69 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism58% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
58%
healthcare medical
57%
adult content
52%
documentation technical
50%
finance banking
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.250.186.65United States
AS15169Google LLC
111--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszq2bMy8Old2:5hoC9JSqzzbs6o3Sj3gcrsm2eAU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184501:CvDSyEGYMIG4gWYzQogCSKRxg6RAiYByF6iSFAGAYnQioZDgApxSlA6DggxBi4BiIEeDGEpAAFwhIbeBICUCMROOIIRRRZAI

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:3c1c000c0f0f0f0f
Color Hash:#783a61

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data