Security Scan Report: federal-fuchsia-u9ulb3uy-dpml1obkruz7.edgeone.dev

Submitted: Sep 20, 2026, 6:03:00 PMCompleted: Sep 20, 2026, 6:03:21 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Gambling 'AI hack' prediction page on a free edgeone.dev subdomain with a password gate and links to betting/payment domains β€” a likely gambling scam. No malware or exfiltration detected; avoid entering credentials.

Risk Factors (5)
Password field with no username field (suspicious credential/password-gate pattern)
Gambling prediction/hack content promoting betting sites
External gambling and payment API domains contacted by the page
Free hosting-platform subdomain with unknown creation date and no domain reputation
Single-source, unverified threat-intel match on the resolving IP
Domain age information unavailable

Details

Page Title

πŸ›‘οΈ π—₯π—’π—•π—œπ—‘ π—”π—œ π—›π—”π—–π—ž

Scan Type

public

Domain Name Analysis

Domain 'federal-fuchsia-u9ulb3uy-dpml1obkruz7.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'federal-fuchsia-u9ulb3uy-dpml1obkruz7'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://federal-fuchsia-u9ulb3uy-dpml1obkruz7.edgeone.dev/

Page Load Overview

3.47s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:235 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
99%
entertainment media
90%
gambling betting
81%
technology software
66%
cryptocurrency blockchain
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.174.246.29Singapore
3188.114.96.9Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
3108.181.20.35Los Angeles, California, United States
AS40676Psychz Networks
3188.114.97.9Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
3142.251.20.97Google Β· CDNUnited States
AS15169Google LLC
3104.18.2.89Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
3104.18.30.226Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
3104.18.3.89Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
3213.188.196.246United States
AS40509Fly.io, Inc.
351.75.52.74France
AS16276OVH SAS
3710--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D592E86B69A30431A407D1B66FB763193635F103A147C9287FAE62404F87EB6C9E7B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:JT6nHFeRg6D3gFFTFPxsigPIAAGjQFSIrxJNzHowvZzRgLHcEnpQU8TT:+HF4gAwFFTF5siIZQFtJ1Howkb+U8TT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20335:0YEBgHGjYSoQwBQDYSDgdYYGEhWEAhgANAsiBwVwYTkEgtAPCKgRMIQLoDBhWYEYhCQQSEeCgCIBA4DjRoNAIMIo54BAQOkY

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:0103010000000000
Perceptual Hash:aaaaaa55555555a9
Difference Hash:0103030000000000
Wavelet Hash:0101010000000000
Color Hash:#1f8293

Other Hashes

Crop Resistant:0103030000000000

Scan History

Scan history not available

Unable to load historical scan data