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Security Scan Report: niah.science

Redirected to: https://login.microsoftonline.com/common/oauth2/v2.0/authorize?client_id=&prompt=&redirect_uri=https%3A%2F%2Fniah.science%2Fauth%2Fmicrosoft%2Fcallback&response_type=code&scope=https%3A%2F%2Fgraph.microsoft.com%2FUser.Read&state=9ioSfqDNzuOt5dnxIgGS9IID

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Submitted: Feb 21, 2026, 1:38:56 PMCompleted: Feb 21, 2026, 1:40:04 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 login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://niah.science/auth/microsoft

Effective URL: https://login.microsoftonline.com/common/oauth2/v2.0/authorize?client_id=&prompt=&redirect_uri=https%3A%2F%2Fniah.science%2Fauth%2Fmicrosoft%2Fcallback&response_type=code&scope=https%3A%2F%2Fgraph.microsoft.com%2FUser.Read&state=9ioSfqDNzuOt5dnxIgGS9IIDRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Redirects to legitimate Microsoft login; no malicious activity observed.

Safety Factors
Well‑established domain (>20 years old)
Redirect leads to a legitimate Microsoft login page
Absence of password/email fields or payment fields
No malicious Indicators of Compromise
No JavaScript malware or credential exfiltration detected
Domain age information unavailable

Details

Page Title

niah.science

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(36%)

Domain Information

Within the .science top-level domain, 'niah.science' is registered and has no subdomain. The registrable portion 'niah' spans 4 characters with 2 vowels and 2 consonants. Breaking it apart gives two words: nia, h. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://niah.science/auth/microsoft

Page Load Overview

1.13s
Total Load Time
20
HTTP Requests
3
Domains
372 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:764 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
36%
government public service
34%
technology software
29%
healthcare medical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20188.114.96.3Netherlands
AS8075
201--

Detected Technologies4

HTTP/3
40%
Fly.io
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D048F773296063986558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszS2bMy8Oldz:ahoC9JSqzzbs6o3Sj3gcrsu2eAF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184493:MRYAFAAASCRBI9AgeJDYgJlBgweDRAgTWgBuDkCY2uAw0NMM4AQFCkIIGYAL1J5OTQFKoU+cKCJIACwAIJBIhEamQXGg0UEz

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#2dd23d

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data