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Security Scan Report: world_en.en-academic.com

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Submitted: May 22, 2026, 4:06:25 PMCompleted: May 22, 2026, 4:09:05 PMpubliccompleted
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Summary

This website contacted 11 IPs in 4 countries across 12 domains to perform 31 HTTP transactions. The main domain is world_en.en-academic.com and was registered NaN years ago.

Submitted URL: https://world_en.en-academic.com/7543/benzine

The Cisco Umbrella rank of the primary domain is #297,689 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

The site shows moderate risk due to heavily obfuscated JavaScript, but lacks forms, IoCs, or malware signatures.

Risk Factors
High JavaScript obfuscation (potential hidden malicious behavior)
Eval() usage without visible network calls
Multiple external ad/tracking domains (yandex, doubleclick, etc.)
Safety Factors
Well‑established domain (2057 days old)
No malicious Indicators of Compromise matched
No JavaScript malware YARA patterns detected
No network‑level IDS alerts
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

benzine

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

Within the commercial generic top-level domain (.com), 'world_en.en-academic.com' is registered, featuring subdomain 'world_en'. The registrable portion 'en-academic' spans 11 characters split between 5 vowels and five consonants, notching 1 hyphen. Word splitting yields 2 words: en, academic. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://world_en.en-academic.com/7543/benzine

Page Load Overview

30.17s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:768 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
61%
adult content
51%
education learning
33%
government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
187.250.250.119Russia
AS13238YANDEX LLC
088.212.201.198Moscow, Moscow, Russia
AS39134Edinaya Set Limited Liability Company
018.244.18.122United States
AS16509Amazon.com, Inc.
0213.180.204.98Russia
AS13238YANDEX LLC
0178.130.57.37Russia
AS50340JSC Selectel
0142.251.13.154United States
AS15169Google LLC
0142.251.20.139United States
AS15169Google LLC
095.217.170.197Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
0178.104.21.52Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
093.158.134.158Russia
AS13238YANDEX LLC
111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ABE29312A848EC2541FF59DDA4B3697860BB4316C2024AE8F879C3F55BEEE7CD637019

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:bWLrwjOYADxA27lV0BJKx80rP8XaeYX2zolbsBBCTNhqPNqJLDeqlg1lARn9UET:yYANfBUolbsBBCJh9XgDARnOG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33499:9MAlMaC1WgjGmFQIEBGEDJICIImhFAAIJLCzoGBaYlyEYKoArDbRwgscoIQGSSJAeQIIiKFiBfDBC2NAQ7ARlDGoOLQCCpFk

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:ff879fffdf8787c7
Perceptual Hash:bcc53222c7c7c6cc
Difference Hash:0c1c30202c3c3c3c
Wavelet Hash:e6869e9e96868786
Color Hash:#d279a7

Other Hashes

Crop Resistant:0c1c30202c3c3c3c

Scan History

Scan history not available

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