Security Scan Report: rsync-debcd.acc.umu.se

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Submitted: May 22, 2026, 6:01:05 AMCompleted: May 22, 2026, 6:02:26 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 rsync-debcd.acc.umu.se and was registered NaN years ago.

Submitted URL: https://rsync-debcd.acc.umu.se

The Cisco Umbrella rank of the primary domain is #145,262 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate directory listing; no malicious activity detected.

Safety Factors
Very old domain with long registration history
Absence of login, payment, or credential‑harvesting forms
No malicious IoC or IDS alerts
Low JavaScript obfuscation score (standard minification)
No external malicious links
Domain age information unavailable

Details

Page Title

Index of /

Scan Type

public

Language

🇺🇸

English

(36% confidence)

Category

documentation technical

(94%)

Domain Information

The domain name 'rsync-debcd.acc.umu.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'rsync-debcd.acc'. Its registrable label 'umu' stretches across 3 characters with 2 vowels and one consonant. Word splitting yields 2 words: u, mu. Median word length comes out to 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rsync-debcd.acc.umu.se

Page Load Overview

7.55s
Total Load Time
17
HTTP Requests
1
Domains
30 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:36%
Script Type:Latin
Text Length:833 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical94% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
94%
technology software
94%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17194.71.11.163Sweden
AS15980Uppsala University
171--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6C19D0224D64277210721A3A6433F9DE5E75078D7B1AE053CECA9EBCBA4EF6150F18B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:rtrAiWL3JoB4kLDw3C7jwngCGk+GhAbtGhArFGhQiZGhoWGhAyqbGh83GhKiZGhJ:p7q/kLE3C7kngF8hHhJhuhMhvhZhwhfB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5640:MYgAEFIAQAICBgbOEEAgCQWyAhEMPBgwBQYhQAKAiikAgAMQJADAcSAABiAAQFUmAABACIxmQiMQASCkgAAEBAQMniBAQgKM

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:7f7f1f1e7e7e7eff
Perceptual Hash:80008040e77fffff
Difference Hash:c0d070e08080c0c0
Wavelet Hash:7f7f0f007e0000ff
Color Hash:#68783a

Other Hashes

Crop Resistant:c0d070e08080c0c0

Scan History

Scan history not available

Unable to load historical scan data