Security Scan Report: www.alphr.com

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Submitted: May 23, 2026, 11:03:17 PMCompleted: May 23, 2026, 11:06:20 PMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 17 domains to perform 52 HTTP transactions. The main domain is alphr.com and was registered NaN years ago.

Submitted URL: https://www.alphr.com/business/1009745/who-is-mark-zuckerberg/

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

The site shows strong brand impersonation cues on an unranked domain with heavily obfuscated JavaScript, warranting a high‑risk classification.

Risk Factors
Brand name displayed on a domain that does not belong to the brand
Unranked domain reputation
Highly obfuscated JavaScript (eval, base64, high entropy)
Safety Factors
Domain age > 15 years (well‑established)
No credential or payment forms detected
No malicious Indicators of Compromise or IDS alerts
Established domain (5837 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Who is Mark Zuckerberg? We investigate the man behind Facebook

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'www.alphr.com' on the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'alphr' is 5 characters long with one vowel and 4 consonants. It segments into 2 words: alph, r. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.alphr.com/business/1009745/who-is-mark-zuckerberg/

Page Load Overview

181.49s
Total Load Time
289
HTTP Requests
34
Domains
2.5 MB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1752.222.136.72United States
AS16509Amazon.com, Inc.
1718.245.78.161United States
AS16509Amazon.com, Inc.
17104.16.80.73United States
AS13335Cloudflare, Inc.
17142.250.154.154United States
AS15169Google LLC
17104.26.3.40United States
AS13335Cloudflare, Inc.
17142.251.110.156United States
AS15169Google LLC
17178.250.1.39France
AS44788Criteo Technology SAS
17142.251.150.119United States
AS15169Google LLC
17104.18.21.31United States
AS13335Cloudflare, Inc.
17142.251.20.157United States
AS15169Google LLC
28917--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134645BB7359430394367D252907BBB25F3250413DD0A8498F2BD95ECEF8AE4613B3BA9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:EnwoP5dUTfn/WkLCFxeer3tHOkCtKtrZDREn:KwonUCZOgtrZDqn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:334805:ICkG4gMDmdECClEA6pcZoJ5DMbAyjXIACgZYbQcbAEEgIERBRVRwQg4QHD1qAJ1IkKBC1QEFJkBCbABkR1qiBRTiINYOO0A1

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:00dffffff3fbf3fb
Perceptual Hash:ed12126d6b47136d
Difference Hash:99382c3217171716
Wavelet Hash:008787db81f3f3c3
Color Hash:#c587b0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data