Security Scan Report: www.applykite.com

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Submitted: Dec 23, 2025, 8:18:36 PMCompleted: Dec 23, 2025, 8:19:30 PMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 10 domains to perform 99 HTTP transactions. The main domain is applykite.com and was registered NaN years ago.

Submitted URL: https://www.applykite.com/professors/jacob-bard-rosenberg-1b09f0ed-2f8b-4e4b-afa7-1d52b97231b5

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with minimal risk category
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Jacob Bard-Rosenberg at University of Edinburgh - Research Interests, Publications & Academic Profile - ApplyKite

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Domain 'www.applykite.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The second-level label 'applykite' is 9 characters long split between 3 vowels and 6 consonants. Tokenizing the label suggests 2 words: apply, kite. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.applykite.com/professors/jacob-bard-rosenberg-1b09f0ed-2f8b-4e4b-afa7-1d52b97231b5

Page Load Overview

9.24s
Total Load Time
99
HTTP Requests
10
Domains
814 KB
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:1,652 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
education learning
28%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7104.21.40.136United States
AS13335CLOUDFLARENET
7172.67.152.4United States
AS13335CLOUDFLARENET
7142.250.185.68United States
AS15169GOOGLE
7216.239.32.36United States
AS15169GOOGLE
720.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7216.239.34.36United States
AS15169GOOGLE
7104.16.79.73United States
AS13335CLOUDFLARENET
7104.18.29.104United States
AS13335CLOUDFLARENET
7104.18.28.104United States
AS13335CLOUDFLARENET
9913--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146E35CF9B280E0BDD447CFB9A53ABD35610A94BBDF56C4ACE39DCA65538287D0B02D40

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YwOOEyLfnH0U9buI9bD9bp9bL9bHLfnHwu03o8sfdsmMJ637x/jORptie1:YwOmVJ3NGWap

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157036:WESBPIJSWAZGXPMgUEiCkVRQkhAiAy5wAJeQiEA5WVhJABlhiyYkwOwRKgghqQ1ACUTgCGBAjPFICnFENPgchIjkQACQgSKg

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:c9dbd9ffdbff0326
Perceptual Hash:ade807e81760cf69
Difference Hash:1a3232282256d64e
Wavelet Hash:c8ced8cec35f0326
Color Hash:#d279bf

Other Hashes

Crop Resistant:1a3232282256d64e

Scan History

Scan history not available

Unable to load historical scan data