Security Scan Report: stickerapp.se

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Submitted: Dec 4, 2025, 1:47:45 PMCompleted: Dec 4, 2025, 1:49:40 PMpubliccompleted
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Summary

This website contacted 32 IPs in 3 countries across 14 domains to perform 158 HTTP transactions. The main domain is stickerapp.se and was registered NaN years ago.

Submitted URL: https://stickerapp.se/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate commercial site with no security concerns.

Safety Factors
Well‑established domain (>15 years)
No malicious Indicators of Compromise
No credential or payment collection forms
No redirects or hidden suspicious elements
Domain age information unavailable

Details

Page Title

StickerApp: Gör klistermärken och Etiketter

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

social media network

(82%)

Domain Information

Domain 'stickerapp.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'stickerapp' is 10 characters long holding 3 vowels versus 7 consonants. It segments into 2 words: sticker, app. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stickerapp.se/

Page Load Overview

0.56s
Total Load Time
158
HTTP Requests
14
Domains
11.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:4,356 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network82% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
82%
corporate business
39%
e-commerce shopping
37%
corporate
35%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1193.175.86.10United States
AS16509AMAZON-02
343.175.86.66United States
AS16509AMAZON-02
1535.190.14.188United States
AS396982GOOGLE-CLOUD-PLATFORM
634.49.234.144Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
413.32.118.128New York, New York, United States
AS16509AMAZON-02
435.241.3.184Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
43.175.86.28United States
AS16509AMAZON-02
4146.75.121.140Frankfurt am Main, Hesse, Germany
AS54113FASTLY
43.175.86.22United States
AS16509AMAZON-02
4172.66.40.94United States
AS13335CLOUDFLARENET
15832--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE84096E8D549A2B05238259B8F1A648F0F65D0BC7AF5C00FF9E861E13BB6D464ED34C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ojHwOM/khrcS7OzQ2FGyFcxLSeJPgobrXzaLPv5SM1wkH/8MnLEWxyWZJ9cptxOa:dTi6mHmh+QomHm4i/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:404511:AQkcEACoCCkmIhKYD9CIkAEIwgsgCMBgllaCGuYIThmTjUAFsUdUEYsDgRARsAopAl5AaAgHjCIDEQAAUhFSTMQl8B6gUTMD

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data