Security Scan Report: skarpegg.se

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Site favicon
Submitted: Completed: publiccompleted

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Established 17-year-old Swedish knife-sharpening/engraving business on its own domain; no credential or payment forms, no threat-intel or malware hits. Only obfuscated-JS IDS alerts, likely bundled-script false positives.

Risk Factors (2)
HIGH network IDS alerts for obfuscated JavaScript (potentially benign minified/bundled script, but flagged by Suricata)
Cloudflare bot-protection challenge served to the datacenter scanner while real content was served to a residential client (normal bot protection, not treated as malicious)
Safety Factors (6)
17-year-old established domain
Self-branding: site title and content match its own domain, no impersonation of another entity
No credential, login, or payment forms present
Provident contact details: Swedish postal address, phone number, business email on the same domain
Content describes a real physical business (family-run knife sharpening/engraving in Bålsta, Sweden) with customer reviews
No Indicators of Compromise, no YARA malware, no known malicious kit
Domain age information unavailable

Details

Page Title

Home - Skarpegg.seother network

Scan Type

public

Domain Name Analysis

You're looking at domain 'skarpegg.se' on the Swedish country-code top-level domain (.se) with no subdomain. Count 8 characters in 'skarpegg' holding two vowels versus six consonants. Tokenizing the label suggests 3 words: s, karp, egg. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://skarpegg.se

Page Load Overview

0.66s
Total Load Time
991 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-us
Text Length:376 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
0192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
0142.251.110.97Google · CDNUnited States
AS15169Google LLC
0192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
018.66.112.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
066.33.60.194Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.239.32.36Google · CDNUnited States
AS15169Google LLC
0142.251.127.157Google · CDNUnited States
AS15169Google LLC
0188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1012--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1F35B7354B86C3632278394AAA1732C729E91A3FA05D5E0F9FC02685FD1FD93D13A49

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:XgOEyob+k+knEkWkPTaEuHkWk8B06hAi76Z+rZGsC+mk8ZgwWGHpxiDSY3nkFQr8:XdJRV5bWSocDPH1rO/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:170562:UAA4gxVkawBpGc0CsAEKoYgAFiYIxJEhAoNKTqBVpAAVNhIAUC4FRRFRILFxgNNZIFG4gBKzAoAoUBYryMBAgCKSAXIDEEMT

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:ffff0000800000ff
Perceptual Hash:daf6a4b9e40b8478
Difference Hash:000c28691951d184
Wavelet Hash:ffff00b0c80808ff
Color Hash:#4dbf40

Scan History

Scan history not available

Unable to load historical scan data