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Security Scan Report: helpinghandscare.app

Submitted: Jan 27, 2026, 4:20:06 AMCompleted: Jan 27, 2026, 4:21:16 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 1 HTTP transaction. The main domain is helpinghandscare.app and was registered NaN years ago.

Submitted URL: https://helpinghandscare.app/

AI Security Verdict

Low Risk

Confidence: 88%

1
Risk Score

Low risk site; new domain with no malicious signs, but verify legitimacy before providing personal data.

Safety Factors
No forms collecting sensitive data
No malicious Indicators of Compromise
Benign meta tags
Content appears to be informational about services
Single redirect only
Domain age information unavailable

Details

Page Title

Emergent | Fullstack App

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(89%)

Domain Information

The domain 'helpinghandscare.app' uses the application-focused generic top-level domain (.app) with no subdomain. The core label 'helpinghandscare' covers 16 characters holding 5 vowels versus 11 consonants. Tokenizing the label suggests 3 words: helping, hands, care. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://helpinghandscare.app/

Page Load Overview

2.05s
Total Load Time
30
HTTP Requests
10
Domains
546 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:1,989 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
89%
healthcare medical
88%
government public service
69%
documentation technical
56%
cryptocurrency blockchain
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6185.199.108.133United States
AS15169
3108.138.7.81United States
AS16509Amazon.com, Inc.
3104.16.79.73United States
AS13335Cloudflare, Inc.
3172.66.2.113United States
AS13335Cloudflare, Inc.
318.172.112.72United States
AS16509
3172.217.18.10United States
AS15169Google LLC
3104.20.17.167United States
AS13335Cloudflare, Inc.
3146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3142.251.141.131United States
AS15169Google LLC
309--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17323F9A0710C153D591F8794FBD4B72C923AF281EB17C428B16D0496EBC3FD5A86BB94

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:nAZ0rGV4xksc64Jysq7vAAoYwY/YzYYzYwq66665AMsrWT7TAfF5p4UWw9/YvMS2:8ebx/c64Jysq7vp66665AM5Li7LEZdrU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47329:AZKiaUAQIskBYkAgkXAlhIQQSIggiBCZgsaMBCICZBEOK0YICRGaAGMxbEMBQXBYnIIZYgimAEAlAdPA4EySi8jgQBLDbg0B

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:fff1f1f1f1f1f1f1
Perceptual Hash:ec93959293928e6d
Difference Hash:6123232323272723
Wavelet Hash:bdf1f1818191b1f1
Color Hash:#47783a

Other Hashes

Crop Resistant:6123232323272723,c8c180f070f8f8e8,0660e0f0d458d28f

Scan History

Scan history not available

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