ScanMalware.com

Security Scan Report: connect-491.web.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/611776fc-043f-45ed-b6cf-72141a4e9497Domain and IP registration (RDAP)/api/v1/rdap/611776fc-043f-45ed-b6cf-72141a4e9497How often this domain was scanned/api/v1/domain/stats/connect-491.web.appScan history for this domain/api/v1/domain/history/connect-491.web.app?limit=15
This website contacted 9 IPs in 0 countries across 5 domains to perform 16 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://connect-491.web.app/

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Student-built social app on a free Firebase subdomain with its own login/signup, but the primary domain carries an unverified single-source phishing report and hosts unsanitised user posts; avoid entering credentials.

Risk Factors (4)
Single-source unverified phishing threat-intel match on the primary domain
Credential-collecting login form on an anonymous free-hosting subdomain
Unknown actual creation date of the hosting subdomain
Unsantised user-generated content (raw script tag) rendered in the feed
Domain age information unavailable

Details

Page Title

connect

Scan Type

public

Domain Name Analysis

You're looking at domain 'connect-491.web.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'connect-491'. The core label 'web' covers 3 characters split between 1 vowel and two consonants. Tokenizing the label suggests one word: web. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://connect-491.web.app/

Page Load Overview

3.31s
Total Load Time
171 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Text Length:926 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
65%
documentation technical
52%
entertainment media
43%
cryptocurrency blockchain
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8199.36.158.100UnknownUnknown
1142.251.110.95UnknownUnknown
179.127.216.203UnknownUnknown
1142.251.152.120UnknownUnknown
1142.251.14.94UnknownUnknown
1142.251.14.95UnknownUnknown
1212.102.56.178UnknownUnknown
137.19.194.80UnknownUnknown
1142.250.154.94UnknownUnknown
169--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19912842145FE50A2594340D0B5E5FF0FAF95A21BCB274904BABC4ECAAF83DAACD17074

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:0ylLrypMUMlCCCm/CRIHErRRHELRWHELRrHE2GFIAGtuXL7zQ2KYQ3rHl+GckkIB:TlLryIh/C0ErPELaELlE2GFIAGtuXL/8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9087:rgAURIgZSQAluIgQRBAFAAeAcobLjSk4YIDGwAMKIuBgZwotCoGlALQ8MhBAygiABKQBhGVJAWsBKYoRI9IACjASIeokCQAE

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:a527ffc340030303
Perceptual Hash:a4f327427ad989d8
Difference Hash:4d6eb29691d6f6b6
Wavelet Hash:a427ffdb58033303
Color Hash:#40a4bf

Other Hashes

Crop Resistant:4d6eb29691d6f6b6

Scan History

Scan history not available

Unable to load historical scan data