Security Scan Report: jmuxlabs-heic.pages.dev

Submitted: Nov 15, 2025, 6:29:16 PMCompleted: Nov 15, 2025, 6:30:10 PMpubliccompleted
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Summary

This website contacted 4 IPs in 0 countries across 1 domain to perform 4 HTTP transactions. The main domain is jmuxlabs-heic.pages.dev.

Submitted URL: https://jmuxlabs-heic.pages.dev/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate site with low risk; no malicious activity detected.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No external or suspicious links
Domain age information unavailable

Details

Page Title

HEIC to PNG/JPG Converter

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(34%)

Domain Information

The domain 'jmuxlabs-heic.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'jmuxlabs-heic'. Count 5 characters in 'pages' containing two vowels alongside three consonants. Segmentation suggests 1 word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jmuxlabs-heic.pages.dev/

Page Load Overview

3.50s
Total Load Time
4
HTTP Requests
1
Domains
N/A
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:82 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software34% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
34%
healthcare medical
26%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1188.114.97.3UnknownUnknown
1188.114.96.3UnknownUnknown
12a06:98c1:3121::3UnknownUnknown
12a06:98c1:3120::3UnknownUnknown
44--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F13110B07C814A934B4749647F427E5C68CEC70EC647C540FBAEE1E627E6D908E886F8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:npfo5C0KsKWkVgvZFnkohQF5BbiJfkiQZm9BbLDCFKKW45+QkF0j:nWrjPZFnkohQF5BMQZm9BzCF74QkFm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1572:AGAABAgBAiAAAAAEAEBAAAgAIAEAAAAABACEEBQACAAAAAAQAAQAAgAAAAAACAAAAAgBSAAACABAAAgIAgRAAAIICAAAACAQ

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:cfdffbdfffffffff
Perceptual Hash:b8383092c7c7c7c7
Difference Hash:2db1421000000000
Wavelet Hash:f4dcf0f000000000
Color Hash:#e0946c

Other Hashes

Crop Resistant:2db1421000000000

Scan History

Scan history not available

Unable to load historical scan data