Security Scan Report: vazgecme.org

Submitted: Feb 5, 2026, 6:25:34 PMCompleted: Feb 5, 2026, 6:27:05 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 vazgecme.org and was registered NaN years ago.

Submitted URL: https://vazgecme.org/404/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

New, unranked domain with no malicious signs; low risk but monitor

Risk Factors
Domain age less than 7 days (critical new domain)
Domain is unranked in Cisco Umbrella (not in top 1M)
Safety Factors
No malicious Indicators of Compromise matches
No credential or payment collection forms
No external domains or links
Standard hosting without IPFS or cloud storage
Domain age information unavailable

Details

Page Title

vazgecme.org

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain name 'vazgecme.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. The core label 'vazgecme' covers 8 characters containing 3 vowels alongside 5 consonants. Tokenizing the label suggests three words: vaz, gec, me. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vazgecme.org/404/

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 software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
63%
adult content
56%
government public service
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1154.38.162.56St Louis, Missouri, United States
AS40021Contabo Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tDfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszkX92bMy8OldV4S:tchoC9JSqzzbs6o3Sj3gcrsgX92eAP4S

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184463:SLgMQJUEiABUnUfMUWjCCkKghCkOKiEGVD3gDBqyQtqho4gESCYBMmqByANQCApJAgdiCgMNEJCgGQRKCdAAmDqFmSEBhTTE

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:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#a8bf40

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data