Security Scan Report: tigroclub-wingo-ai-hack.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 11 IPs in 4 countries across 9 domains to perform 62 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://tigroclub-wingo-ai-hack.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Unranked free-subdomain page posing as a BNL-branded 'AI hack/predictor' for Wingo, harvesting phone numbers and passwords via a username-less password form. Avoid entering any credentials.

Risk Factors (5)
Credential-collection form (phone number + password + confirm password) on an unranked free hosting-platform subdomain
Password field present without any username/email field — credential-harvesting pattern
Page claims an ownership/affiliation with the 'BNL™' brand on a domain unrelated to it
Promises an 'AI hack'/predictor for the Wingo betting game — typical fake-tool scam lure
Anonymous, unranked subdomain of unknown creation date with no verifiable operator
Domain age information unavailable

Details

Page Title

𝐒𝐀𝐘𝐄𝐌 𓊈 𝐁𝐍𝐋™𓊉 𝐎𝐖𝐍𝐄𝐑 — 30S PREDICTOR V2

Scan Type

public

Domain Name Analysis

The domain 'tigroclub-wingo-ai-hack.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'tigroclub-wingo-ai-hack'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tigroclub-wingo-ai-hack.edgeone.dev/

Page Load Overview

19.74s
Total Load Time
2.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:150 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
72%
adult content
72%
healthcare medical
58%
finance banking
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1243.174.246.29Singapore
5163.227.239.174Bangladesh
AS150142Wolast Technologies
5142.251.127.95Google · CDNUnited States
AS15169Google LLC
5142.251.14.94Google · CDNUnited States
AS15169Google LLC
545.43.142.4United Kingdom
AS16276OVH SAS
545.43.142.5United Kingdom
AS16276OVH SAS
545.43.142.2United Kingdom
AS16276OVH SAS
545.43.142.3United Kingdom
AS16276OVH SAS
5142.251.110.97Google · CDNUnited States
AS15169Google LLC
5104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6211--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA45482E93794FAF531EAFD94DB66F5DCC8B0D104168EAB9D8A7F08A710C808E273551

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:XE71/qOx0KE34E1zOlzukOkkCNNLbMqHFdTAX:oKu/EqHy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1182687:NCJAKAjB0RY0UDDkMYLoBAMFRHZg7ZxWQUoBTAKEABEBBGSCAcgFZVAtgkRRl7gIE4gcRoApQGZEgRAAgqIlaOxBxGOU0Ugi

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:1818181818181818
Perceptual Hash:88000222fefefff8
Difference Hash:f2f2b232b2b2b3b3
Wavelet Hash:3c3c383838383d3d
Color Hash:#40bf57

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data