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: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is rwth-aachen.de.

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

Effective URL:
https://mail.rwth-aachen.de/owa/auth/logon.aspx?replaceCurrent=1&url=h...
Redirected

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 (4)
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

Outlook

Scan Type

public

Domain Name Analysis

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
192 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

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

Unable to load historical scan data