Security Scan Report: www.bohrium.com

Redirected to:
https://www.bohrium.com/en/scholar/27285240/Anil_S._Chakravarthy?encod...
Submitted: Sep 3, 2026, 9:07:45 PMCompleted: Sep 3, 2026, 9:09:08 PMpubliccompleted

This website contacted 4 IPs in 3 countries across 3 domains to perform 7 HTTP transactions. The main domain is bohrium.com and was registered 18 years ago.

Submitted URL: https://www.bohrium.com/en/scholar/27285240/Anil_S._Chakravarthy

Effective URL:

https://www.bohrium.com/en/scholar/27285240/Anil_S._Chakravarthy?encod...
Redirected

The Cisco Umbrella rank of the primary domain is #527,068 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The page shows a standard 405 error with no malicious indicators; it is considered legitimate.

Safety Factors
Well‑established domain (8646 days old)
No malicious signals from threat intel, YARA, or IDS
Domain age information unavailable

Details

Page Title

405

Scan Type

public

Domain Name Analysis

The domain 'www.bohrium.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 7 characters in 'bohrium' split between three vowels and four consonants. Tokenizing the label suggests 2 words: boh, rium. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bohrium.com/en/scholar/27285240/Anil_S._Chakravarthy

Page Load Overview

2.35s
Total Load Time
217 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:zh-cn
Text Length:469 chars
Detector Agreement:100%
Language mismatch: Declared as zh-cn but detected as en

Website Classification

Primary Category

cryptocurrency blockchain58% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
58%
documentation technical
54%
technology software
46%
healthcare medical
32%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
48.209.91.154Frankfurt am Main, Hesse, Germany
AS45102Alibaba (US) Technology Co., Ltd.
1104.117.77.10Brussels, Brussels Capital, Belgium
AS20940Akamai International B.V.
1203.119.144.45China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
147.254.172.64Frankfurt am Main, Hesse, Germany
AS45102Alibaba (US) Technology Co., Ltd.
74--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D911163170216D00C29315F5DCFF7702E4756516650DC0587AD7B0AB3A49E68F7676C1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kOr3U2+KhjR8p3g7ejoZ9m4qh/2CbUc2UlSug0O60cRR0cn2/Ff2ObmqM0Iq/Iqm:rUgj+kLS/gkg0OXc4cgFVbS0fG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1074:AAACAgBAEAAAAAABAAAAAEAEAEBEAAABAAAAQAAAgAAAGAAABAAAAAAAAAIAAAIAAAAAEAAAAAAAAAAAgCAAIAAAAgAAAACA

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:ffcf0000ffffffff
Perceptual Hash:b1309acece6465cb
Difference Hash:2c1c8e0e60000000
Wavelet Hash:8787000000ffffff
Color Hash:#79c6d2

Other Hashes

Crop Resistant:2c1c8e0e60000000

Scan History

Scan history not available

Unable to load historical scan data