Security Scan Report: almaz.com

Redirected to:
https://almaz.com/nobel/physics/2004a.html
Submitted: Apr 20, 2026, 10:35:25 AMCompleted: Apr 20, 2026, 10:37:12 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 8 HTTP transactions. The main domain is almaz.com and was registered NaN years ago.

Submitted URL: http://almaz.com/nobel/physics/2004a.html

Effective URL: https://almaz.com/nobel/physics/2004a.htmlRedirected

The Cisco Umbrella rank of the primary domain is #929,222 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

David J. Gross Winner of the 2004 Nobel Prize in Physics

Scan Type

public

Language

🇺🇸

English

(48% confidence)

Category

unknown

(0%)

Domain Information

Domain 'almaz.com' uses the commercial generic top-level domain (.com). The core label 'almaz' covers 5 characters with 2 vowels and 3 consonants. Segmentation suggests one word: almaz. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://almaz.com/nobel/physics/2004a.html

Page Load Overview

0.33s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:48%
Script Type:Latin
Text Length:2,022 chars
Detector Agreement:80%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2209.68.5.197Pittsburgh, Pennsylvania, United States
AS7859pair Networks
1142.251.153.119United States
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B712B799FB807F3B2333973079D9B218BC6A81C38841A78AF0175E5A7C56F87596018F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:y88sXAPje9whuZaj9FvMuJHmEzcXBBqB2:kawhunuJHm6OBBqB2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9369:6naMKPgEFEaBAAZQBIQEABFsxDOGJQSRhGqQkKgBHW5IxBJ7YRAIBcCCyDBiB0LChAKkNcBAZsTpGFA4CyioMoIM9QhEjQjg

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:e77f3f3f3f3f3fff
Perceptual Hash:8372722376277336
Difference Hash:ccf0d4d0e0d0e181
Wavelet Hash:060e0e3e1e2e0fef
Color Hash:#c59487

Other Hashes

Crop Resistant:ccf0d4d0e0d0e181

Scan History

Scan history not available

Unable to load historical scan data