Security Scan Report: mirror.accum.se

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Submitted: Jul 15, 2026, 3:43:31 PMCompleted: Jul 15, 2026, 3:44:39 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is mirror.accum.se and was registered NaN years ago.

Submitted URL: https://mirror.accum.se

The Cisco Umbrella rank of the primary domain is #134,008 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears to be a legitimate file archive for the Academic Computer Club with no malicious indicators.

Safety Factors
Established domain age
Self‑branding consistent with organization
No malicious scripts or external links
No form-based data collection
Domain age information unavailable

Details

Page Title

Index of /

Scan Type

public

Language

🇺🇸

English

(36% confidence)

Category

documentation technical

(94%)

Domain Information

Domain 'mirror.accum.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'mirror'. The second-level label 'accum' is 5 characters long holding two vowels versus 3 consonants. Splitting it apart reveals two words: ac, cum. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mirror.accum.se

Page Load Overview

1.03s
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
93%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17194.71.11.173Umeå, Västerbotten County, Sweden
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

T189B1910224D64277210721A396833F9DE5E75078D7B1EE013CECA9EBCBA4EE6151F197

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:frAiWL3JoB4kLDw3C7jwngCGk+GhAbtGhArFGhQiZGhoWGhibGhwq3GhKiZGhdtx:f7q/kLE3C7kngF8hHhJhuhMh5h4hwhfx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5585:QAiAAAAIo0oYQYJARFKKMAAAWCJClQGAEMBAEpAYGDGFAxAIhA0kyAAYRoEDACBkSSBEAECoAIBQAAEIEEKREKAEAIiQECkA

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:7f1f1e7e7e7e7eff
Perceptual Hash:8000abc0e0c7ffff
Difference Hash:80f07080a080c000
Wavelet Hash:7f1f00007e007eff
Color Hash:#2d8637

Other Hashes

Crop Resistant:80f07080a080c000

Scan History

Scan history not available

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