Security Scan Report: enjoybloom.pages.dev

Redirected to: https://enjoybloom.pages.dev/

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Submitted: Nov 28, 2025, 5:29:38 AMCompleted: Nov 28, 2025, 5:32:47 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 3 domains to perform 6 HTTP transactions. The main domain is enjoybloom.pages.dev.

Submitted URL: http://enjoybloom.pages.dev/

Effective URL: https://enjoybloom.pages.dev/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Page returns 404 Access Denied, indicating no active content
Domain age information unavailable

Details

Page Title

Error 404 | Access Denied

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'enjoybloom.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'enjoybloom'. The registrable portion 'pages' spans 5 characters containing 2 vowels alongside 3 consonants. Word splitting yields 1 word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://enjoybloom.pages.dev/

Page Load Overview

0.60s
Total Load Time
6
HTTP Requests
3
Domains
32 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:254 chars
Detector Agreement:50%

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
2172.66.44.93United States
AS13335CLOUDFLARENET
2142.250.186.131United States
AS15169GOOGLE
1142.250.186.106United States
AS15169GOOGLE
0142.250.186.42United States
AS15169GOOGLE
0172.66.47.163United States
AS13335CLOUDFLARENET
02a00:1450:4001:82f::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
02a00:1450:4001:810::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
02606:4700:310c::ac42:2c5dUnited States
AS13335CLOUDFLARENET
02606:4700:310c::ac42:2fa3United States
AS13335CLOUDFLARENET
69--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12851431AA5F300056067C06C2BFBFB041A64A4175506CD69BF0CF3558F89A24DAEBBDC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T3Xny5Oga+IC+4d76/SrbJyyM70ZHc2cErhwMJEwZ/wcw8d:Tg8+IC+a76/ybJynQVcw2M9ZoT8d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2852:QAABAAACAEAAIACAGAEAioAAARgQAASBAISAAAAAADAFgACgQggiEAiEoAEoAAACAgnCgAAQhIAAAAAIBACAgEAAACECAAwB

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:e0c0fafefef80080
Perceptual Hash:d5dc3aa3d24889b6
Difference Hash:000092a0ccd21000
Wavelet Hash:e0c0fafefef88080
Color Hash:#2d8686

Other Hashes

Crop Resistant:000092a0ccd21000

Scan History

Scan history not available

Unable to load historical scan data