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Security Scan Report: adobe-pdf-grqaqsghlwttwjncequcxftw.pages.dev

Redirected to: https://login.microsoftonline.com/jsdisabled

Submitted: Mar 23, 2026, 6:51:16 PMCompleted: Mar 23, 2026, 6:52:36 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 18 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: http://adobe-pdf-grqaqsghlwttwjncequcxftw.pages.dev/

Effective URL: https://login.microsoftonline.com/jsdisabledRedirected

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Redirects to a legitimate Microsoft login page; low risk overall.

Risk Factors
Subdomain on free hosting platform with unknown age
Network IDS high alerts for JavaScript obfuscation and potential phishing patterns
Safety Factors
Final URL is a reputable Microsoft domain
No credential or payment forms on the initial page
No malicious Indicators of Compromise detected
No JavaScript malware YARA patterns found
Domain age information unavailable

Details

Page Title

Something went wrong

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(41%)

Domain Information

The domain name 'adobe-pdf-grqaqsghlwttwjncequcxftw.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'adobe-pdf-grqaqsghlwttwjncequcxftw'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://adobe-pdf-grqaqsghlwttwjncequcxftw.pages.dev/

Page Load Overview

0.90s
Total Load Time
19
HTTP Requests
3
Domains
21 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:243 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software41% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
41%
news media journalism
33%
blog personal website
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
720.190.160.132Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
613.107.246.44United States
AS8075Microsoft Corporation
6172.66.44.199United States
AS13335Cloudflare, Inc.
193--

Detected Technologies2

X-UA-Compatible
100%
Ghost
15%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D5111B964F0201B5201D2D4BAE0F91AAF45D61B854AA560F58D1ECC4FE2FAACC63269

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:pDLDqLNWbzAXRyAbNy/cioJTuswBxF/Qo:pD/lbzalbNqRodWJQo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2484:ADAMIaAAgAAAAhSIECAAAggAhABAAGACCAJAAoAAOQgQAAICAAABACAgAABCICAABRAEAiAAEAFgEEJAAQBBAAAoAAFABAQA

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:ffffefe7e7fffffe
Perceptual Hash:b323cc8c7333dc8c
Difference Hash:0000180c0c000000
Wavelet Hash:30302424e7e7f3f2
Color Hash:#65931f

Other Hashes

Crop Resistant:0000180c0c000000

Scan History

Scan history not available

Unable to load historical scan data