Security Scan Report: iaaegserv.uni-trier.de

Submitted: Jul 3, 2026, 4:48:46 AMCompleted: Jul 3, 2026, 4:50:49 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is iaaegserv.uni-trier.de.

Submitted URL: https://iaaegserv.uni-trier.de

The Cisco Umbrella rank of the primary domain is #118,489 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

No malicious activity detected; site appears legitimate with low risk.

Safety Factors
Self‑branding aligns with domain
Absence of forms or credential collection
No malicious indicators from threat intel or YARA
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

iaaegserv.uni-trier.de

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

You're looking at domain 'iaaegserv.uni-trier.de' on the German country-code top-level domain (.de); it also runs on subdomain 'iaaegserv'. Its registrable label 'uni-trier' stretches across 9 characters split between four vowels and four consonants, along with 1 hyphen. Breaking it apart gives two words: uni, trier. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://iaaegserv.uni-trier.de

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:762 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
56%
adult content
43%
government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1136.199.19.91Trier, Rheinland-Pfalz, Germany
AS2857Johannes Gutenberg-Universitaet Mainz
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD048F77329A063986558498E05B430D9F20B143F506C9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:4/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsP72bMy8OldI:ZhoC9JSqzzbs6okSjggcpsz2eAu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187937:YVXUgBQAw0psCJ7GsQCRSpIAOilCwBURADRNAnDQSFR1AMTHwhlAQgJPOEgiMJgCFJpTNK4AwtKoCAQkAGbVSAAUiwEBOBHk

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:3c1c0404033f3333
Color Hash:#cee06c

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data