Security Scan Report: staticcomment.ifragasatt.se

Submitted: Nov 24, 2025, 2:44:04 PMCompleted: Nov 24, 2025, 2:45:08 PMpubliccompleted
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Summary

This website contacted 10 IPs in 3 countries across 4 domains to perform 11 HTTP transactions. The main domain is staticcomment.ifragasatt.se and was registered NaN years ago.

Submitted URL: https://staticcomment.ifragasatt.se/

The Cisco Umbrella rank of the primary domain is #844,162 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Long‑standing domain registration
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

ifragasatt-comments

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(43%)

Domain Information

The domain name 'staticcomment.ifragasatt.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'staticcomment'. The second-level label 'ifragasatt' is 10 characters long containing 4 vowels alongside 6 consonants. Segmentation suggests 4 words: if, ragas, at, t. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://staticcomment.ifragasatt.se/

Page Load Overview

0.40s
Total Load Time
11
HTTP Requests
4
Domains
75 KB
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:229 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software43% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
43%
documentation technical
27%

Detected Features

Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
63.167.227.56United States
AS16509AMAZON-02
3142.250.186.99United States
AS15169GOOGLE
23.167.227.82United States
AS16509AMAZON-02
13.167.227.68United States
AS16509AMAZON-02
152.210.155.122Dublin, Leinster, Ireland
AS16509AMAZON-02
1142.250.186.170United States
AS15169GOOGLE
13.167.227.118United States
AS16509AMAZON-02
12a00:1450:4001:82f::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a00:1450:4001:810::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
154.73.102.14Dublin, Leinster, Ireland
AS16509AMAZON-02
1110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19742B63A4A4964E22975BED6D6B33A0C40E9F397948389C490BD4D56CF7BF24360F398

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GWqgeRjWDZTk4nP6y37I93+MqoOJRjWDZTk4nP6y37I93+Mj:2R8qf8COJR8qf8K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13177:TS9FBJKcBEU8QIMsBxBAPmaJgHbiaA0CYTKGUwi/9CcSBpCVjYcMIjQICAEQgKUEESVARgpESZEegAikLwOKWIAEUQ4gIDGP

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:c3e7ffffffffffff
Perceptual Hash:f56564646c6c6ccc
Difference Hash:1608000000000000
Wavelet Hash:023e3e3e0e0e0e0e
Color Hash:#409fbf

Other Hashes

Crop Resistant:1608000000000000

Scan History

Scan history not available

Unable to load historical scan data