Security Scan Report: autodiscover.gdsvfh.mail.onmicrosoft.com

Submitted: Feb 27, 2026, 2:24:19 PMCompleted: Feb 27, 2026, 2:26:07 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 autodiscover.gdsvfh.mail.onmicrosoft.com and was registered NaN years ago.

Submitted URL: https://autodiscover.gdsvfh.mail.onmicrosoft.com

The Cisco Umbrella rank of the primary domain is #3,966 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate Microsoft subdomain returning a server error; no security threats detected.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No credential or payment forms
Standard hosting (not IPFS or cloud storage)
Domain age information unavailable

Details

Page Title

autodiscover.gdsvfh.mail.onmicrosoft.com

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

cryptocurrency blockchain

(71%)

Domain Information

Domain 'autodiscover.gdsvfh.mail.onmicrosoft.com' uses the commercial generic top-level domain (.com) and includes subdomain 'autodiscover.gdsvfh.mail'. The second-level label 'onmicrosoft' is 11 characters long with 4 vowels and seven consonants. Segmentation suggests 2 words: on, microsoft. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://autodiscover.gdsvfh.mail.onmicrosoft.com

Page Load Overview

0.29s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:363 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain71% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
71%
technology software
70%
news media journalism
62%
social media network
59%
adult content
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
240.99.149.168Netherlands
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D048F77329A063986558498E05B830D9F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszP2bMy8Oldw:JhoC9JSqzzbs6o3Sj3gcrsD2eAO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187318:z4EAChrIIoSiUBIiqNyKINRAlPK/YSCAJOoLmgcIKAIAA9CpACAAAEhQYAYKIgKoYJBMUMUN4p4DBRQx0EEYRaAkBCS8cVHq

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339accccb33364
Difference Hash:00180c1616000000
Wavelet Hash:3f1f0307003c3c3c
Color Hash:#c5879e

Other Hashes

Crop Resistant:00180c1616000000

Scan History

Scan history not available

Unable to load historical scan data