Security Scan Report: app.stockholmlive.com

Submitted: Dec 4, 2025, 8:05:27 AMCompleted: Dec 4, 2025, 8:07:20 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is app.stockholmlive.com and was registered NaN years ago.

Submitted URL: https://app.stockholmlive.com/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well-established domain
No malicious Indicators of Compromise
No credential or payment forms
Domain age information unavailable

Details

Page Title

Swedish

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

unknown

(0%)

Domain Information

The domain 'app.stockholmlive.com' uses the commercial generic top-level domain (.com) and includes subdomain 'app'. The registrable portion 'stockholmlive' spans 13 characters with 4 vowels and 9 consonants. Segmentation suggests 2 words: stockholm, live. Average segment length settles at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.stockholmlive.com/

Page Load Overview

0.64s
Total Load Time
4
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
HTML Lang Attribute:se
Text Length:27 chars
Detector Agreement:100%
Language mismatch: Declared as se but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4108.138.26.18United States
AS16509AMAZON-02
1108.138.26.112United States
AS16509AMAZON-02
1108.138.26.85United States
AS16509AMAZON-02
1108.138.26.61United States
AS16509AMAZON-02
44--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C1182B6D4F4006B6600594B69A0FD0DCFC9D547C691DC91B85C50A67FC1FA24AF3A54

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hzhEe8wnhpQ6nhAlhpQRVQhAsVOQhiC2MN:ti+7Qos7QU7hnXN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:877:ABACBAAAAAAAAAAAAAEACAAAAAAAAAAAAAAAAAAAAAEACAACAAAACCAAACAARIQQAAAEAAAAAAAgBAAAIAAAABAAAAACAAAA

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:3fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#6fd22d

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data