Security Scan Report: aplod.pages.dev

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Submitted: May 9, 2026, 7:18:35 AMCompleted: May 9, 2026, 7:19:57 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is aplod.pages.dev and was registered NaN years ago.

Submitted URL: https://aplod.pages.dev/$%7Burl%7D

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site is a newly created subdomain on a hosting platform with no forms or malicious indicators, resulting in low risk.

Risk Factors
Unranked domain reputation
Potentially brand‑new subdomain
Safety Factors
No login, payment, or credential forms
No external malicious links
No JavaScript malware or credential exfiltration
No network IDS alerts
Domain age information unavailable

Details

Page Title

پنل آپلود HTML

Scan Type

public

Language

🇮🇷

FA

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'aplod.pages.dev' is registered with subdomain 'aplod'. The registrable portion 'pages' spans 5 characters containing two vowels alongside three consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aplod.pages.dev/$%7Burl%7D

Page Load Overview

0.48s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇮🇷Persian
Code: fa
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:fa
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:fa
Text Length:58 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.47.5United States
AS13335Cloudflare, Inc.
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FCC1C7ADBEB355215477605F1BF7A6042424A0136102C84C7FECA7E88FC3A859AF7B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:q+r4w910/PwfqS5iOw1FN/Vc21nrmzvVPH/oL44f+CMz1/4v6d047LQliWC/FaPD:jr4w9yPN3OQFRa21nrQFAL4WV7v6d0E6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5775:ATCDBBcyEAO4CgiJFAmghAwAkABcACF4QACKAwYbABAYkUE4s0AKAgBYhACACjAIAKQoIEiAgwJgBggqZCAHMAQwEikTQCQR

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:f8f8f0f0e0e0c0c0
Perceptual Hash:ddcc8dcc8c8c6666
Difference Hash:3010000000000000
Wavelet Hash:fcf8f8f0f0e0e0c0
Color Hash:#93651f

Scan History

Scan history not available

Unable to load historical scan data