Security Scan Report: connectmetodapps.web.app

Submitted: Jul 14, 2026, 7:52:08 AMCompleted: Jul 14, 2026, 7:53:54 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is connectmetodapps.web.app and was registered NaN years ago.

Submitted URL: https://connectmetodapps.web.app/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows no malicious indicators, contains no forms, and has unknown age, resulting in a low risk assessment.

Safety Factors
No forms, no credential or payment fields
No Indicators of Compromise matched
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Dapps

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'connectmetodapps.web.app' on the application-focused generic top-level domain (.app) and includes subdomain 'connectmetodapps'. Count 3 characters in 'web' split between one vowel and 2 consonants. Segmentation suggests one word: web. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://connectmetodapps.web.app/

Page Load Overview

0.57s
Total Load Time
2
HTTP Requests
1
Domains
1 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:34 chars
Detector Agreement:100%

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
2199.36.158.100United States
AS54113Fastly, Inc.
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE017D5E40E310092A6398501F916A4049A4C48B825FC6653DCE638CCFCF759A9C739C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRjy7T5BGO6qMKRqsevs2yMi1vs2yMWlFyJf4x+kp0TuHr+j:hRjCFBZ60RqsevFi1vFY8JfK4Wo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:773:ACAAAAEAAAAAAAAACAAAQAAAAAAAAAAAAAAAAAAEAAAAAUAAAAABACAAAAAAAAAAIAAAAgACiABAAAACAAAAAAAAABAAAIAA

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:1d09010101010101
Perceptual Hash:aa99999999999999
Difference Hash:3919010101010101
Wavelet Hash:1f0f030303030303
Color Hash:#d22dae

Other Hashes

Crop Resistant:1919010101010101

Scan History

Scan history not available

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