Security Scan Report: raffl-e4071.web.app

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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 web.app and was registered 7 years ago.

Submitted URL: https://raffl-e4071.web.app/

AI Security Verdict

Low Risk

Confidence: 58%

3
Risk Score

No credential or payment form; 'Continue with Snapchat' appears to be an OAuth integration via Snapchat's own SDK. Brand-name title on an unknown-age Firebase subdomain warrants caution, not a scam verdict.

Risk Factors (3)
Brand-name login title on an unrelated shared-hosting subdomain
Unknown subdomain creation date on an open publishing platform
Thin content with generic developer boilerplate metadata
Safety Factors (6)
No credential or payment fields / no forms at all on the page
Uses Snapchat's official SDK domain (sdk.snapkit.com) for the login flow
No Indicators of Compromise, hunting-rule matches, IDS alerts, or Safe Browsing hits
No cross-origin credential exfiltration detected
No known phishing kit in the kit roster
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

You're looking at domain 'raffl-e4071.web.app' on the application-focused generic top-level domain (.app) and includes subdomain 'raffl-e4071'. Its registrable label 'web' stretches across 3 characters split between one vowel and two consonants. Tokenizing the label suggests 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

£ Continue with Snapchat

Page Load Overview

0.73s
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.
354.231.172.64Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
3108.138.26.87Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
316.15.244.70Aws · 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