Security Scan Report: autofixdrops.pages.dev

Redirected to: https://autofixdrops.pages.dev/fa-solid-901

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Submitted: Feb 17, 2026, 8:00:55 PMCompleted: Feb 17, 2026, 8:02:16 PMpubliccompleted
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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 autofixdrops.pages.dev and was registered NaN years ago.

Submitted URL: https://autofixdrops.pages.dev/fa-solid-901.html

Effective URL: https://autofixdrops.pages.dev/fa-solid-901Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; page returns a 404 error.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

autofixdrops.pages.dev

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'autofixdrops.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'autofixdrops'. Count 5 characters in 'pages' split between two vowels and three consonants. Splitting it apart reveals one word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://autofixdrops.pages.dev/fa-solid-901.html

Page Load Overview

4.03s
Total Load Time
4
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:267 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
4172.66.47.74United States
AS13335Cloudflare, Inc.
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:cfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz42bMy8Oldh:/hoC9JSqzzbs6o3Sj3gcrsU2eAb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184552:TAFGCAhAaFiOZlUCxmAgGnBAkQEACg6QQVwAVsKASAeiEKklggB2xQYeBIoIiIVAQVQSciQEgYgAjFwSAIIQCMmqHJSZCHDY

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc673363
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#5372ac

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data