ScanMalware.com

Security Scan Report: init7.net

Redirected to:
https://www.init7.net/en
Site favicon
Submitted: Aug 2, 2026, 2:56:12 PMCompleted: Aug 2, 2026, 2:57:24 PMpubliccompleted

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is init7.net and was registered NaN years ago.

Submitted URL: https://init7.net

Effective URL: https://www.init7.net/enRedirected

The Cisco Umbrella rank of the primary domain is #151,057 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site appears legitimate but shows low reputation and a phishing ML flag; monitor and avoid entering credentials.

Risk Factors
Low domain ranking for a commercial‑service brand
ML model indicates phishing despite lack of concrete malicious signals
Safety Factors
Self‑branding matches domain (no impersonation)
No password, payment, or disguised password fields
No Indicators of Compromise, YARA matches, or IDS alerts
Very old domain with long registration history
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Init7 – Fastest fiber optic Internet up to 25 Gbit/s

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

phishing scam

(84%)

Domain Information

Domain 'init7.net' uses the network infrastructure generic top-level domain (.net) with no subdomain. The registrable portion 'init7' spans 5 characters containing 2 vowels alongside two consonants; it also includes one digit. Word splitting yields three words: in, it, 7. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://init7.net

Page Load Overview

0.45s
Total Load Time
52
HTTP Requests
3
Domains
0 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,640 chars
Detector Agreement:80%

Website Classification

Primary Category

phishing scam84% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

phishing scam
84%
technology software
68%
documentation technical
67%
entertainment media
32%
corporate business
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2677.109.180.76Winterthur, Zurich, Switzerland
AS13030Init7 (Switzerland) Ltd.
2677.109.180.4Winterthur, Zurich, Switzerland
AS13030Init7 (Switzerland) Ltd.
522--

Page Statistics

52
Requests
3
Unique Domains
23.0 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA03841F5C9D653F3523D686B5F45355BAF30C29881E08A2AEE84B3213F1CB4657EB82

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:J7C4vh2EzlQ5YHEqqLqR2/GOvDSpDJG4YszG8C7+f59TpEAs/Kdf/taugcp0KYQ8:J7C4vh2EzlQ5YHEqqLqR2/GOvDSpDJGV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40529:BTBEDFSNw79AERkYgJkcCIAAIAiLgMaEAwcgF4EnAoQaWBVDAWHqyEAhwIDPikgW5AgDQACiiwJsiBkgGtd7hSIiMIQHPDQE

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:fcc8e9e787818180
Perceptual Hash:ffc3421c96a74c0b
Difference Hash:0d190b4e3c332b2d
Wavelet Hash:fdc8e9e78f818184
Color Hash:#48bf40

Other Hashes

Crop Resistant:0d190b4e3c332b2d,2b03333b1d2f3b1b,0301010101010103,0e070b0101010183,f0f9f9736f7e3b73,6064361a09074321

Scan History

Scan history not available

Unable to load historical scan data