Security Scan Report: ignitist.net

Submitted: Feb 12, 2026, 6:08:33 PMCompleted: Feb 12, 2026, 6:10:05 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ignitist.net and was registered NaN years ago.

Submitted URL: https://ignitist.net

The Cisco Umbrella rank of the primary domain is #799,466 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security threats detected; site appears legitimate.

Safety Factors
Well‑established domain (>7 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
No detected malware or suspicious scripts
No external links or redirects
Domain age information unavailable

Details

Page Title

ignitist.net

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

The domain name 'ignitist.net' uses the network infrastructure generic top-level domain (.net) and has no subdomain. The core label 'ignitist' covers 8 characters containing three vowels alongside 5 consonants. Tokenizing the label suggests 4 words: ign, it, is, t. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ignitist.net

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:732 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
62%
adult content
56%
government public service
28%
phishing scam
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
120.119.16.38Washington, Virginia, United States
AS8075Microsoft Corporation
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T187048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszY2bMy8OldC:6hoC9JSqzzbs6o3Sj3gcrsE2eAY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184451:ErK8myFB6wCmBEAIRRCy7CeiKEA12C4kAgEACMIACvKgSaoEzARAgiAYhKDRMBJLkOoEgBQwYiDBUSdDJtZB2QkAmIogRNhP

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#6ce0bd

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data