Security Scan Report: jollyroom.kb.connectel.app

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Submitted: Nov 28, 2025, 6:47:23 AMCompleted: Nov 28, 2025, 6:49:51 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 2 domains to perform 16 HTTP transactions. The main domain is jollyroom.kb.connectel.app and was registered NaN years ago.

Submitted URL: https://jollyroom.kb.connectel.app/

AI Security Verdict

Low Risk

Confidence: 75%

4
Risk Score

Site shows a suspicious login form but overall risk is low due to age and lack of other threats.

Risk Factors
Password field without username field
Safety Factors
Domain age is 1337 days (well established)
No external domains linked
No payment or personal data collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Connectel Knowledgebase

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(74%)

Domain Information

Within the application-focused generic top-level domain (.app), 'jollyroom.kb.connectel.app' is registered and includes subdomain 'jollyroom.kb'. Count 9 characters in 'connectel' with three vowels and 6 consonants. It segments into 2 words: connect, el. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jollyroom.kb.connectel.app/

Page Load Overview

0.32s
Total Load Time
16
HTTP Requests
2
Domains
35 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:130 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical74% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
74%
education learning
74%
technology software
67%
government public service
36%
healthcare medical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
153.174.46.41United States
AS16509AMAZON-02
63.174.46.77United States
AS16509AMAZON-02
23.174.46.55United States
AS16509AMAZON-02
23.174.46.8United States
AS16509AMAZON-02
23.127.15.164Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
152.28.216.124Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
166--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1594194362C90A47F42038A99F477E60DE5CEDA0ECB229854F0C901AE96F0F91CD536A1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T3EpXEhYw4LS/Sn+i7Rm309ptl5kb4h3PPkb323P2GdDq2nEucGfmLkXHFmZ:T0JET4IS+i7RQWZkb4h3XkbGuYDia1S

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2372:AHABAAAAABBAABCAAAjCFAAKIQJDAAEgAAAAYBEIiAAAAAAEAQAAASAAACCAAAAgAAAAgAAFEADoAgEAAAAggAQgAAAQhCkQ

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:3c3c3c3c3c243c3c
Perceptual Hash:929a6d646f61699a
Difference Hash:c0e0d8d8e0d4d4e8
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#2d8686

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data