Security Scan Report: aclff.pages.dev

Redirected to:
https://aclff.pages.dev/
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Submitted: Jul 16, 2026, 12:45:11 PMCompleted: Jul 16, 2026, 12:46:24 PMpubliccompleted
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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 aclff.pages.dev and was registered NaN years ago.

Submitted URL: http://aclff.pages.dev/

Effective URL: https://aclff.pages.dev/Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

The site shows only a self‑branded page with no forms or malicious indicators; low risk.

Domain age information unavailable

Details

Page Title

aclff

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(91%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'aclff.pages.dev' is registered, featuring subdomain 'aclff'. The core label 'pages' covers 5 characters holding two vowels versus 3 consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://aclff.pages.dev/

Page Load Overview

1.76s
Total Load Time
5
HTTP Requests
1
Domains
0 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:103 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content91% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
91%
finance banking
71%
cryptocurrency blockchain
63%
healthcare medical
62%
news media journalism
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.44.99Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172411E5AA4FB102A51E680746BE7A20F3E17B55B5E0AC944BB4D17108F93F12ED637CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nBoupz9AKidN/QbVKnyZsUKQ12QJ3CxgCivu:nBouRRidiVKyGm12QJ3C2I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2024:AAAAABQIBAAAAgAIgAIACAAgAAAQAAApIABAACAAEABAgSkQhhEAAAAAAAAAAIIERAAEQABgIAAQAAAgAAgAAAQAEgAFAAAA

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:0000000000000000
Perceptual Hash:cc3333cccc3333cc
Difference Hash:0000001010000000
Wavelet Hash:0c0c0c1c3c3c3c3c
Color Hash:#1f3c93

Other Hashes

Crop Resistant:0000001010000000

Scan History

Scan history not available

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