Security Scan Report: autodiscover.hanover.edu

Submitted: Mar 9, 2026, 8:08:20 PMCompleted: Mar 9, 2026, 8:10:03 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.hanover.edu and was registered NaN years ago.

Submitted URL: https://autodiscover.hanover.edu

The Cisco Umbrella rank of the primary domain is #492,686 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

autodiscover.hanover.edu

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

cryptocurrency blockchain

(71%)

Domain Information

The domain 'autodiscover.hanover.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'autodiscover'. The core label 'hanover' covers 7 characters holding 3 vowels versus 4 consonants. It segments into 1 word: hanover. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://autodiscover.hanover.edu

Page Load Overview

0.44s
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
67%
news media journalism
62%
social media network
56%
adult content
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.98.252.232Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F9048F77329A063986558498E05B430D9F20B543F50AC9BC79BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:efQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszt2bMy8Oldc:NhoC9JSqzzbs6o3Sj3gcrsx2eAK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187206:EYgSEVHUAkBIJEOE1wjAkEgBPKJCDQFumAAKECGZAwMFLMRJBFgSykIdgEgxEMcAjDKsQOJPsAYQJWYnAAWEkEjACK8BgCWx

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:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:2f0f0707033f0f0f
Color Hash:#d22d8d

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data