Security Scan Report: raffl-e4071.firebaseapp.com

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 3 domains to perform 15 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

Submitted URL: https://raffl-e4071.firebaseapp.com/

AI Security Verdict

Low Risk

Confidence: 55%

3
Risk Score

Misleading 'Snapchat - login' title on an unrelated Firebase subdomain, but no forms, no credential collection, and use of the official Snap Kit SDK suggest a benign OAuth flow rather than phishing.

Risk Factors (3)
Misleading page title presents as a Snapchat login page despite being on an unrelated Firebase hosting subdomain
Hosted on a shared Firebase subdomain with an unknown creation date; platform age does not attest to this page
Default Next.js metadata points to an unpolished or hastily deployed application
Safety Factors (5)
Zero forms, zero password fields, zero payment fields — no credential or payment collection on the page
Use of official Snap Kit SDK (sdk.snapkit.com) for OAuth is consistent with a legitimate 'Continue with Snapchat' integration
No Indicators of Compromise, hunting rule malware patterns, IDS alerts, or suspicious JavaScript behavior
No cross-origin credential exfiltration detected
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Snapchat - login

Scan Type

public

Domain Name Analysis

The domain name 'raffl-e4071.firebaseapp.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'raffl-e4071'. Its registrable label 'firebaseapp' stretches across 11 characters with 5 vowels and six consonants. Splitting it apart reveals 3 words: fire, base, app. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

£ Continue with Snapchat

Page Load Overview

0.62s
Total Load Time
233 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:67%
Script:Latin
Direction:ltr

Detection Details

Text Length:68 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
99%
cryptocurrency blockchain
72%
technology software
66%
entertainment media
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
3108.138.26.41Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
316.15.253.203Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3108.138.26.97Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
316.15.228.37Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
155--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103E1E8B35C0B89183617506964AFB30D3000A12B9945D838BFFCD7A84F87BEA6D3DA95

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:sHTQW6pqA5lmqHWfrSmSuafqfqHVN3fWAqWGZyXfjOgXjYDyou:UTQWS9djN+AsyXrTzOg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7243:YgYgBALkJBBJS9xABBFB5EggC0AhFAiR4sAoTBCHgJYsBEAMCxoGEURiMMAGiDiCAAChE8CQwcQkTAjGiU1htLS4gQhiioCR

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:ffffffe7e7ffffff
Perceptual Hash:b289cd663299cd66
Difference Hash:0008000c0c000800
Wavelet Hash:0c0c1c04273f0f0f
Color Hash:N/A

Other Hashes

Crop Resistant:0008000c0c000800

Scan History

Scan history not available

Unable to load historical scan data