Security Scan Report: connect-491.firebaseapp.com

Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 5 domains to perform 16 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

Submitted URL: https://connect-491.firebaseapp.com/

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Personal student social-feed app on a firebaseapp.com subdomain with its own login/signup. No impersonation, threat-intel, YARA or exfiltration signals; risk is limited to an unknown-age platform tenant handling credentials.

Risk Factors (3)
Credential login/signup form on a shared platform subdomain of unknown creation date
User-generated content displays unsanitised markup/script-like text
No established reputation (unranked domain), which is expected for a platform tenant but leaves no trust anchor
Safety Factors (4)
No brand impersonation — page presents only its own author/project identity
No cross-origin form submissions and no credential exfiltration detected
No Indicators of Compromise, YARA malware, Safe Browsing or IDS hits
Forms appear to be the app's own account system (login/signup + post composer)
Domain age information unavailable

Details

Page Title

connect

Scan Type

public

Domain Name Analysis

Domain 'connect-491.firebaseapp.com' uses the commercial generic top-level domain (.com) and includes subdomain 'connect-491'. The second-level label 'firebaseapp' is 11 characters long holding 5 vowels versus 6 consonants. Segmentation suggests three words: fire, base, app. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://connect-491.firebaseapp.com/

Page Load Overview

5.88s
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
2199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
237.19.194.80Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2142.251.20.94Google · CDNUnited States
AS15169Google LLC
279.127.211.89Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2195.181.170.18Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
279.127.216.204Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
168--

Detected Technologies3

Firebasev7.23.0
75%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C12832145FD50A2594340D0B5E5FF0FAF95A21BCB274904BABC4ECAAF83DAACD1B074

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:0ylLrypMUMlCCCm/CRIHErRRHELRWHELRrHELG6I1GXutL7EQ2KYQNrHw+GcpkIf:TlLryIh/C0ErPELaELlELG6I1GXutLAM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9087:rpAURIgZCQAlOIgQRDAFAAeAcobLjyk4YJDGwAMCouBgZwotChGFILA8MhBAzgiABKYBhGRJAWshKYoRI1IACjASIepkCQIE

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:#c59487

Other Hashes

Crop Resistant:4d6eb29691d6f6b6

Scan History

Scan history not available

Unable to load historical scan data