Security Scan Report: boxedapp.com

Redirected to: https://www.softanics.com/boxedapp/packer/buy

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Submitted: Feb 21, 2026, 11:54:05 AMCompleted: Feb 21, 2026, 11:54:59 AMpubliccompleted
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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 softanics.com and was registered NaN years ago.

Submitted URL: http://boxedapp.com/boxedapppacker/order.html

Effective URL: https://www.softanics.com/boxedapp/packer/buyRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (over 22 years old)
No login or payment forms
No malicious Indicators of Compromise
No JavaScript malware or obfuscation
Standard redirects only
Domain age information unavailable

Details

Page Title

Buy BoxedApp Packer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'boxedapp.com' uses the commercial generic top-level domain (.com). The core label 'boxedapp' covers 8 characters containing 3 vowels alongside five consonants. Breaking it apart gives two words: boxed, app. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://boxedapp.com/boxedapppacker/order.html

Page Load Overview

7.42s
Total Load Time
69
HTTP Requests
4
Domains
551 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:1,830 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
69208.76.169.34United States
AS14585CIFNet, Inc.
691--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DAC08CB7C021890FAB3026F8C9827894AF08920DC1321E44B6D0E2A6F448EEB848329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYaXEQoqa:qzxV/5VHHoB96D3ne1k9Ycw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:348fc553335bda82dffebf49122dd182

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:7fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#e0736c

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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