Security Scan Report: elbetic-it-ai-models-dpq266oe20yk.edgeone.dev

Submitted: Oct 2, 2026, 5:00:45 AMCompleted: Oct 2, 2026, 5:01:23 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Bulgarian-language AI tools analysis article on a shared edgeone.dev subdomain. No forms, no impersonation, no malware, no exfiltration. Only unverified, single-source abuse-reputation tags on the host IPs — no page-level risk.

Risk Factors (2)
Subdomain on a free/instant hosting platform (.edgeone.dev) — actual page creation date unknown and cannot be verified
Domain is unranked in Cisco Umbrella top 1M (no reputation history)
Safety Factors (5)
No forms of any kind — no login, password, or payment fields present
No brand impersonation: page presents generic AI-tool analysis content, no other entity's brand or login styling
No malware indicators: clean JavaScript YARA scan, clean native-YARA scan, no kit-roster match, no Suricata IDS alerts
No third-party script hosts and no cross-origin script or form activity
Content is substantive and coherent (use-case tables, audience breakdowns), consistent with a legitimate research/blog page
Domain age information unavailable

Details

Page Title

AI Ecosystem 2025–2026 · Пълен анализ

Scan Type

public

Domain Name Analysis

The domain 'elbetic-it-ai-models-dpq266oe20yk.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'elbetic-it-ai-models-dpq266oe20yk'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Tokenizing the label suggests two 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://elbetic-it-ai-models-dpq266oe20yk.edgeone.dev/

Page Load Overview

0.44s
Total Load Time
27 KB
Total Size

Language Analysis

Primary Language

🇧🇬BG
Code: bg
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:bg
Text Length:36,891 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software62% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
62%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.174.247.29Singapore
143.174.246.29Singapore
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162D3127281F050771241E6C8A630BB6EDCD3407BEB636A42B5AE0DCADFD5EB2950354B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wRq1B5GcMw2E6NBqA6qabSraWzd74WrdxjmIx:ZMw5c2qASPzd74WRxjmy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:130758:gpTOJg0IQGBgiAEBzLp6EwoIiIIslUaRIl4DxKAOkTQAsRYeiKwVTD4AmmJpa4AthSqAUBRgFAQpnNUamIACwFBjAZhF5YQQ

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:8181ffffffffffff
Perceptual Hash:ac6d6d2dc3939292
Difference Hash:2323e0463030343c
Wavelet Hash:8081bfb35f1f1303
Color Hash:#785b3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data