Security Scan Report: rs-norul-hgnice-ai-hack-dpf2ssh5ggpa.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 6 domains to perform 35 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://rs-norul-hgnice-ai-hack-dpf2ssh5ggpa.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Unknown-age edgeone.dev subdomain hosting a fake 'AI hack' tool with countdown/accuracy bait and a lone password field β€” treat as a scam lure and do not enter credentials.

Risk Factors (4)
Password field present without any username field β€” credential-collection pattern on a non-login page
Deceptive 'hack tool' / guaranteed-accuracy claim ('START HACK', accuracy 98%) typical of scam lures
Unranked, unknown-age subdomain on a free hosting platform
Third-party payment/signal API domains (hgnicepayapi.com, asjoby.com) unrelated to the page's stated identity
Domain age information unavailable

Details

Page Title

𝐑𝐒ℒ 𝐍𝐔𝐑𝐔𝐋 π•π€πˆ πŽπ–ππ„π‘

Scan Type

public

Domain Name Analysis

The domain 'rs-norul-hgnice-ai-hack-dpf2ssh5ggpa.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'rs-norul-hgnice-ai-hack-dpf2ssh5ggpa'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Word splitting yields 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://rs-norul-hgnice-ai-hack-dpf2ssh5ggpa.edgeone.dev/

Page Load Overview

3.54s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:bn
Text Length:168 chars
Detector Agreement:100%
Language mismatch: Declared as bn but detected as en

Website Classification

Primary Category

social media network92% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
92%
documentation technical
71%
healthcare medical
55%
news media journalism
50%
phishing scam
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
743.174.247.29Singapore
4172.67.161.14Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
4104.21.15.25Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
4142.251.13.97Google Β· CDNUnited States
AS15169Google LLC
4188.114.96.9Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
4104.18.1.97Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
4104.18.0.97Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
4104.18.15.180Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
358--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA52985625A30431F947E5BE2FF3574A36305003A507CA283E9DD284CF978E5D5AAB8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:OXj6dY3PszYyaJsgaRxJ3Dt1VkH17JujnFaPyHXi6hWaCiEdqzCSzj:KudOyRX7jFaPy3DhjMM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14202:gJGBgVIRCwCMFAWSDrhkQIZoiQCIKAFgQFQULSoAgsgRAKGJBdtFp4YAIrK1smwzIYAWGYATYMUhAwGhAgIAADkEJB28yYCM

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:0303030100000000
Perceptual Hash:aaaa955555aaaaa5
Difference Hash:03030b0300010000
Wavelet Hash:0f0f0f0f00000000
Color Hash:#61862d

Other Hashes

Crop Resistant:03030b0300010000

Scan History

Scan history not available

Unable to load historical scan data