Security Scan Report: muller.academic.ru

Redirected to: https://dic.academic.ru/dic.nsf/muller/

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Submitted: Dec 30, 2025, 8:55:01 AMCompleted: Dec 30, 2025, 8:57:01 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 9 HTTP transactions. The main domain is dic.academic.ru and was registered NaN years ago.

Submitted URL: https://muller.academic.ru

Effective URL: https://dic.academic.ru/dic.nsf/muller/Redirected

The Cisco Umbrella rank of the primary domain is #141,033 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment collection
Domain age information unavailable

Details

Page Title

dic.academic.ru

Scan Type

public

Language

🇷🇺

Russian

(60% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'muller.academic.ru' on the Russian country-code top-level domain (.ru); it also runs on subdomain 'muller'. Count 8 characters in 'academic' holding four vowels versus 4 consonants. Breaking it apart gives 1 word: academic. Median word length is eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://muller.academic.ru

Page Load Overview

6.70s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:60%
Script:Cyrillic
Direction:ltr

Detection Details

Language Code:ru
Detection Confidence:60%
Script Type:Cyrillic
Text Length:23 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1135.181.143.237Finland
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T116048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:TfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszX2bMy8Old+:shoC9JSqzzbs6o3Sj3gcrsj2eAc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184433:zwMJrHCvIhVEDMgFCSkQkAw4gCgMwtgSA3CBGGViFoGtSDkjEQgAHhRjqGLhgBDJEUBhiIQcgIxFFhahPlCqiFqaCRIwICIB

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:ffcfc7f3ffffffff
Perceptual Hash:b1319acecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:ffdfc7f300000000
Color Hash:#2d7886

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

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