Security Scan Report: exchange.uni-giessen.de

Redirected to: https://exchange.uni-giessen.de/owa/auth/logon.aspx?replaceCurrent=1&url=https%3a%2f%2fexchange.uni-giessen.de%2fowa%2f

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Submitted: Feb 3, 2026, 5:37:34 AMCompleted: Feb 3, 2026, 5:38:55 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is exchange.uni-giessen.de and was registered NaN years ago.

Submitted URL: https://exchange.uni-giessen.de

Effective URL: https://exchange.uni-giessen.de/owa/auth/logon.aspx?replaceCurrent=1&url=https%3a%2f%2fexchange.uni-giessen.de%2fowa%2fRedirected

The Cisco Umbrella rank of the primary domain is #209,945 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university Outlook login page; no security concerns detected.

Safety Factors
Established domain age
Official university subdomain
No malicious Indicators of Compromise
HTTPS connection (assumed for Outlook Web Access)
Consistent branding with university
Domain age information unavailable

Details

Page Title

Outlook

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(83%)

Domain Information

You're looking at domain 'exchange.uni-giessen.de' on the German country-code top-level domain (.de); it also runs on subdomain 'exchange'. The core label 'uni-giessen' covers 11 characters containing 5 vowels alongside five consonants, notching one hyphen. Tokenizing the label suggests two words: uni, giessen. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://exchange.uni-giessen.de

Page Load Overview

5.00s
Total Load Time
5
HTTP Requests
1
Domains
84 KB
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:521 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
82%
news media journalism
68%
healthcare medical
62%
government public service
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5134.176.3.28Giessen, Hesse, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
51--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A843AF3F69572D222827607863D7B2863B2A8813824ED9247D7C374CEF41DB2417EBD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:GyDwuJmtz7e05NnfviyaD2xTkzdKV7aQblg/3zFhTyhi4QnclYtcY:UtzK05N3aD2xTEkF5y/6iHcScY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56136:AJMJGhcS26CwSBD2GgNVTAeQbpLCIBJApbRAAqwBIp1xF2AQCMVMIAilqZo3AgUs4MOKACAgSoMmERQGJD+FKZAg7SUGphoO

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:3f3f3f3f3f3f3f3f
Perceptual Hash:83f676010989d9fe
Difference Hash:d0ccccd8d8d0d0d0
Wavelet Hash:3f27373f3f0f0000
Color Hash:#d22d48

Scan History

Scan history not available

Unable to load historical scan data