Security Scan Report: kindlymail-3bb52.firebaseapp.com

Site favicon
Submitted: Completed: publiccompleted
This website contacted 26 IPs in 1 country across 14 domains to perform 32 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

Submitted URL: https://kindlymail-3bb52.firebaseapp.com/

AI Security Verdict

High Risk

Confidence: 55%

7
Risk Score

Self-branded PicPack photo-sharing product page on an unrelated-named Firebase subdomain. No malware, phishing or exfiltration evidence, but a text-type password field without username and unknown tenant age warrant caution.

Risk Factors (5)
Password field present without a matching username field (credential-harvesting pattern)
One disguised password field: type='text' with a password placeholder
Unicode/character confusion flagged in form fields
Unknown creation date on shared Firebase hosting; the subdomain could be brand new despite the old apex
Subdomain project name ('kindlymail') does not match the product branding shown on the page
Domain age information unavailable

Details

Page Title

Collect photos and videos and share with your group

Scan Type

public

Domain Name Analysis

The domain 'kindlymail-3bb52.firebaseapp.com' uses the commercial generic top-level domain (.com) and includes subdomain 'kindlymail-3bb52'. Its registrable label 'firebaseapp' stretches across 11 characters containing five vowels alongside six consonants. Word splitting yields three words: fire, base, app. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

picpack Articles About = FAQ_—sPricing Signin Easily collect photos and videos from a group Perfect for sharing wedding photos, No apps or signups required for your group. $x; Createa PicPack} ¥...

Page Load Overview

1.51s
Total Load Time
1.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:4,348 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
62%
entertainment media
55%
adult content
38%
download file sharing
36%
documentation technical
34%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1142.251.127.95Google · CDNUnited States
AS15169Google LLC
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1192.178.183.97Google · CDNUnited States
AS15169Google LLC
1142.251.110.157Google · CDNUnited States
AS15169Google LLC
1142.251.153.119Google · CDNUnited States
AS15169Google LLC
1192.178.183.138Google · CDNUnited States
AS15169Google LLC
1142.251.20.148Google · CDNUnited States
AS15169Google LLC
1216.239.38.181Google · CDNUnited States
AS15169Google LLC
1142.251.127.156Google · CDNUnited States
AS15169Google LLC
3226--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E8241113315226A42F7C5D0F9A1FF94B0A9E30FDF9E806469F8514C9FE3D60A672A71

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:wl5kJFaxAWn81RDAVzCz4OQSYFQneJcOGu0:468SDAVEheaz/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18187:i8sl0sADkABwKFkII4ABgNDFUYQHF86KY4jMpGgUUw8QYRQUSBokEEJAaQT1gQSRIxhiVdYjOADHC4SBJqAJAFCSCUaEAgCj

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:fff3c3f30c0000ff
Perceptual Hash:eced9292926c6d13
Difference Hash:988686a6a9aa8f49
Wavelet Hash:ffd3d3f3000000ff
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data