Security Scan Report: gentle-paprenjak-7fc631.netlify.app

Redirected to:
https://gentle-paprenjak-7fc631.netlify.app/
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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 3 countries across 12 domains to perform 30 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://gentle-paprenjak-7fc631.netlify.app/

Effective URL:
https://gentle-paprenjak-7fc631.netlify.app/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

Site impersonates TikTok brand on a Netlify subdomain without credential forms; moderate risk due to brand misuse and unknown age.

Risk Factors (3)
Brand impersonation of TikTok on unrelated domain
Unknown subdomain age on hosting platform
Unranked domain with no reputation
Safety Factors (1)
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 5 to 3
Domain age information unavailable

Details

Page Title

TikTok Coins: Buy and recharge Coins to send Gifts | TikTok

Scan Type

public

Domain Name Analysis

The domain name 'gentle-paprenjak-7fc631.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'gentle-paprenjak-7fc631'. Its registrable label 'netlify' stretches across 7 characters with 2 vowels and five consonants. Segmentation suggests 3 words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://gentle-paprenjak-7fc631.netlify.app/

Page Load Overview

3.95s
Total Load Time
695 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Text Length:1,094 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network91% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
91%
entertainment media
79%
e-commerce shopping
37%
finance banking
35%
technology software
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3192.178.183.95Google · CDNUnited States
AS15169Google LLC
3184.24.77.61Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
345.43.142.2United Kingdom
AS16276OVH SAS
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
323.193.201.21Edison, New Jersey, United States
AS20940Akamai International B.V.
3104.18.38.252Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3146.75.123.1Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3146.75.121.21Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3010--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F39309B1E3500239D1AB8F9D3298BB5D3E72814FED134A4F52A427A5CADEDDE941078C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:teFez+DQ26NkeEeofwX56Tn33QTbJlvJzScm3SeaFavfJe/b:gaSYEeofwX56TnwTbpQMavfJe/b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:88899:BACPp4EBUCUILuEwX00Iw0hzkBCLwFBiIeIoqVYBkgg45qXQCAKEGgmqYgMB0QBpGqCixWBBMhgBlC4HAaBKDFECJbKqGoaR

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:987f1f003f3f7fff
Perceptual Hash:8358f801fc780ffc
Difference Hash:23c07260c0d0c000
Wavelet Hash:003c1e003e3efefe
Color Hash:#48bf40

Other Hashes

Crop Resistant:23c07260c0d0c000

Scan History

Scan history not available

Unable to load historical scan data