Security Scan Report: mail.rwth-aachen.de

Redirected to:
https://mail.rwth-aachen.de/owa/auth/logon.aspx?replaceCurrent=1&url=h...
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Submitted: May 16, 2026, 9:57:15 PMCompleted: May 16, 2026, 9:58:23 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 mail.rwth-aachen.de.

Submitted URL: https://mail.rwth-aachen.de

Effective URL: https://mail.rwth-aachen.de/owa/auth/logon.aspx?replaceCurrent=1&url=https%3a%2f%2fmail.rwth-aachen.de%2fowa%2fRedirected

The Cisco Umbrella rank of the primary domain is #61,642 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

The site appears to be the legitimate RWTH Aachen Outlook login page with no malicious indicators.

Safety Factors
Brand-aligned subdomain of a known university
Reputable domain ranking
Absence of malicious scripts or exfiltration behavior
Low JavaScript obfuscation score
Domain age information unavailable

Details

Page Title

mail.rwth-aachen.de

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(36%)

Domain Information

The domain 'mail.rwth-aachen.de' uses the German country-code top-level domain (.de) and includes subdomain 'mail'. The registrable portion 'rwth-aachen' spans 11 characters holding 3 vowels versus 7 consonants, plus 1 hyphen. Breaking it apart gives 3 words: rw, th, aachen. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mail.rwth-aachen.de

Page Load Overview

0.71s
Total Load Time
7
HTTP Requests
1
Domains
191 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:1,233 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7137.226.78.60Aachen, North Rhine-Westphalia, Germany
AS47610RWTH Aachen University
71--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9048F77329A063986558498E05B830D9F21B143F506C8BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:x/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPC2bMy8Oldv:ShoC9JSqzzbs6okSjggcpsq2eAt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187931:vEWAm4kJz0KuCUHJg4AwBCGkpGQcEhoIDU4ohRiRRwnN4EgDISRDAbmAFAyBqEQSwVAG0qgTFniDCBVBC48EBhMKohwJoQAB

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:3c1c0404033f3f3f
Color Hash:#8789c5

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

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