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Security Scan Report: flamman.preno.se

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/9e833df4-7dde-488a-bf7c-ba5b632ca85cDomain and IP registration (RDAP)/api/v1/rdap/9e833df4-7dde-488a-bf7c-ba5b632ca85cHow often this domain was scanned/api/v1/domain/stats/flamman.preno.seScan history for this domain/api/v1/domain/history/flamman.preno.se?limit=15
This website contacted 4 IPs in 2 countries across 4 domains to perform 23 HTTP transactions. The main domain is preno.se and was registered 6 years ago.

Submitted URL: https://flamman.preno.se/order.php?id=1179

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Established Swedish newspaper subscription page with self-branding, same-origin forms, and no threat-intelligence, malware, IDS, or exfiltration signals.

Safety Factors (5)
Established domain over 6 years old
Self-branding matches domain and page title
No Indicators of Compromise matches
No malware or suspicious JavaScript behavior detected
Forms submit same-origin with no credential exfiltration
Domain age information unavailable

Details

Page Title

Flamman

Scan Type

public

Domain Name Analysis

Domain 'flamman.preno.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'flamman'. The registrable portion 'preno' spans 5 characters holding two vowels versus 3 consonants. Word splitting yields 2 words: pre, no. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Slamman Las e-tidningen Prenumerera Kontakta oss Logga in Flamman: Erbjudande med böcker! Välj en av följande böcker: Slavoj Zizek, Liberal faschism - kod ZIZEK Martin Kragh, Historien dömer inte...

Page Load Overview

0.90s
Total Load Time
638 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-se
Text Length:2,280 chars
Detector Agreement:67%

Website Classification

Primary Category

e-commerce shopping79% confidence
Type: webapp
Method: ml+structural

All Detected Categories

e-commerce shopping
79%
news media journalism
75%
documentation technical
57%
technology software
54%
blog personal website
53%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
816.171.52.199Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
5142.251.14.95Google · CDNUnited States
AS15169Google LLC
5104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5192.178.183.94Google · CDNUnited States
AS15169Google LLC
234--

Detected Technologies9

X-UA-Compatible
100%
PasswordField
100%
JQueryv3.4.1
100%
Windows Server
50%
Bootstrapv5.3.0
50%
IISv10.0
40%
jsDelivr
20%
jQuery UI
20%
jQuery BlockUI
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B13827025F86977A15385DCBAE45B0ABE84DA53CA4B1644B2EC0BD04FD7C83CE2722D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:C25ujVHHzbHpMayunWN0kSt5fUQaJlVIc+yAsJmy2D5sB/nXDUhiHu5JK1fzfX:OhnXFB+SJaJlVIfGjZdDUa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42453:QsdNL+criAYaAoHGsIkXYgAFQKaCgkoACSnYAQCQkAUQAiH0oSKJAAYBeKiKCSQwCVAlFCEizIGfm0rPdQAdNASGqWEVJ+cC

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:e63e3f3f3f77ff00
Perceptual Hash:833372f223f32387
Difference Hash:8ce0e2c2c08c88cd
Wavelet Hash:e63c3e3e3f107700
Color Hash:N/A

Other Hashes

Crop Resistant:8ce0e2c2c08c88cd

Scan History

Scan history not available

Unable to load historical scan data