Security Scan Report: animevanguards.netlify.app

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Submitted: Completed: publiccompleted
This website contacted 18 IPs in 3 countries across 9 domains to perform 44 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://animevanguards.netlify.app/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Fake 'Anime Vanguards Roblox' item generator on a free Netlify subdomain that funnels users into an external content locker; also flagged for phishing by a single unreviewed feed. No credential form present, but no legitimate generator exists — avoid.

Risk Factors (4)
Single-source phishing threat-intel report on the primary domain
Content-locker style cross-origin POST to static.staticsave.com behind a fake game-item generator
Deceptive promise of free in-game currency/items for a real Roblox game, which no such generator can legitimately provide
Shared-hosting subdomain with unknown creation date and no reputation
Domain age information unavailable

Details

Page Title

Anime Vanguards Roblox Generator

Scan Type

public

Domain Name Analysis

You're looking at domain 'animevanguards.netlify.app' on the application-focused generic top-level domain (.app) with subdomain 'animevanguards'. The core label 'netlify' covers 7 characters with 2 vowels and 5 consonants. Segmentation suggests three words: net, li, fy. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Deze site gebruikt cookies van Google om services te leveren en verkeer te analyseren. Je IP-adres en user- MEERINFORMATIE IKSNAPHET agent worden met Google gedeeld, samen met prestatie- en beveiligin...

Page Load Overview

2.07s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:37%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:ar
Text Length:833 chars
Detector Agreement:75%
Language mismatch: Declared as ar but detected as en

Website Classification

Primary Category

entertainment media72% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
72%
technology software
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1063.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
220.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
23.174.45.40Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.13.94Google · CDNUnited States
AS15169Google LLC
2150.171.109.98Azure · CLOUDUnited States
AS8075Microsoft Corporation
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
218.64.16.30Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
252.222.232.205Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4418--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEC2E7776862503B229340D0BFB173593156D20BC90ACD6D76DDC3E48FCAED68DA63A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:bdCLP3hhtr24ALhODAYLXasTG2LeAVGSbxp7he27UymYKq+:bdCLPVr24+hODAYJNhe27UyhKq+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26260:TdJbYA8wcAkEAIoCgJLBYAQSCYiQJFAQym8oAcwAFD+YTBCbokAueCEgcAkACBECoXNAIKhCJBm0scCeIOITCxEUBQAkgcEI

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:1800181000ffffff
Perceptual Hash:886c93e6b3ccd193
Difference Hash:f1b3b3b38d717169
Wavelet Hash:1d00181800ffffff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data