Security Scan Report: single-moccasin-unzthnd0kq-f1q48tluhj.edgeone.app

Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 4 domains to perform 12 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://single-moccasin-unzthnd0kq-f1q48tluhj.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High risk site with credential‑phishing login form on a newly created, low‑reputation subdomain; avoid and report.

Risk Factors (4)
New subdomain on hosting platform
Low domain reputation ranking
Credential collection form on unverified domain
Anti‑analysis JavaScript (devtools/right‑click blocking)
Domain age information unavailable

Details

Page Title

My Drive

Scan Type

public

Domain Name Analysis

The domain 'single-moccasin-unzthnd0kq-f1q48tluhj.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'single-moccasin-unzthnd0kq-f1q48tluhj'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Segmentation suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://single-moccasin-unzthnd0kq-f1q48tluhj.edgeone.app/

Page Load Overview

1.13s
Total Load Time
431 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:145 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing99% confidence
Type: webapp
Method: ml+structural

All Detected Categories

download file sharing
99%
news media journalism
35%
documentation technical
35%
social media network
31%
government public service
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
334.117.59.81Kansas City, Missouri, United States
AS396982Google LLC
3142.251.13.95United States
AS15169Google LLC
343.152.26.58Singapore
3199.36.158.100United States
AS54113Fastly, Inc.
124--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C8412705A0F2D0B3F0E022F10251F066F198597834CE6D5BB6877BDCBB59692F6B0A6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ZHBQgsSl0UKb+UwgaN5SrfV95Fi0rv2F5n9My0KrghpZew5nt7lllw/mcTiy26kA:XySl/K8WW0rv2zn9l0K6ew5SmcTZeI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:400889:B5tIlcAIoQAsBYQh4XMPgAAMhIQACRJ+iNkJ9HCaMNNgAlAnYXgEHHAhUIESqAQKsFCKAIgKEhwws2yBSUIBMAII08rFFAIK

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:7e8181c7ffffffff
Perceptual Hash:b838c1c3c3c73c7c
Difference Hash:c033330e08000000
Wavelet Hash:00818100e4fcfcfc
Color Hash:#79bf40

Other Hashes

Crop Resistant:c033330e08000000

Scan History

Scan history not available

Unable to load historical scan data