Security Scan Report: cerulean-cobbler-2999e3.netlify.app

Submitted: Aug 30, 2026, 12:45:27 PMCompleted: Aug 30, 2026, 12:48:03 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

The page impersonates Roblox and harvests login credentials on an unknown-age Netlify subdomain, indicating a high‑risk phishing site.

Risk Factors
Brand impersonation of Roblox on an unranked subdomain
Credential collection form on a newly created/unknown-age site
Domain age information unavailable

Details

Page Title

Login to Roblox

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'cerulean-cobbler-2999e3.netlify.app' is registered; it also runs on subdomain 'cerulean-cobbler-2999e3'. Count 7 characters in 'netlify' holding two vowels versus 5 consonants. Tokenizing the label suggests 3 words: net, li, fy. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cerulean-cobbler-2999e3.netlify.app/

Page Load Overview

7.79s
Total Load Time
143 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru
Text Length:520 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media93% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
93%
adult content
87%
technology software
62%
phishing scam
56%
gambling betting
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
44--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11032955766F304023953E4A997A7970A3195D01BE947CA543FBC1B888FCBE94ADA33CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:FrtYfWMRcy5HR2MaIyZ0RF0rmQMqOmtOuEm4uzT5HBB3f5jFpX+8OKsxOxJBuSnv:FrtToNFQZInHE5WCQsWVCWsrYHox

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11929:jAs2ACkcDiAijAQAYGJGSgSAgENAiQAgDQJqLGBNRlQUHhDHKdrAoiEyCA00QK4IpJOegMQpARA1PAADCBZgRBgJBMDMvBQI

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:0018181818181800
Perceptual Hash:cccc3333338b6666
Difference Hash:103232b232323210
Wavelet Hash:dbdbdbdb18181800
Color Hash:#bf8e40

Other Hashes

Crop Resistant:103232b232323210

Scan History

Scan history not available

Unable to load historical scan data