Security Scan Report: queeck-landing.pages.dev

Redirected to: https://queeck-landing.pages.dev/

Submitted: Nov 13, 2025, 7:48:12 PMCompleted: Nov 13, 2025, 7:49:08 PMpubliccompleted
Loading additional data...

Summary

This website contacted 23 IPs in 0 countries across 5 domains to perform 15 HTTP transactions. The main domain is queeck-landing.pages.dev.

Submitted URL: http://queeck-landing.pages.dev/

Effective URL: https://queeck-landing.pages.dev/Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment collection forms present
No brand impersonation detected
Domain age information unavailable

Details

Page Title

Queeck | Smart Job Management for Tradespeople

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(50%)

Domain Information

The domain 'queeck-landing.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'queeck-landing'. Count 5 characters in 'pages' holding two vowels versus three consonants. Splitting it apart reveals 1 word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://queeck-landing.pages.dev/

Page Load Overview

29.16s
Total Load Time
15
HTTP Requests
5
Domains
480 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:2,998 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
50%
documentation technical
49%
government public service
33%
finance banking
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0172.67.171.116UnknownUnknown
0172.66.47.31UnknownUnknown
0142.250.186.67UnknownUnknown
0172.67.70.186UnknownUnknown
0172.66.44.225UnknownUnknown
0142.250.185.227UnknownUnknown
0142.250.186.42UnknownUnknown
0142.250.74.195UnknownUnknown
0142.250.185.195UnknownUnknown
02606:4700:20::681a:1c0UnknownUnknown
1523--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154F2522553481E3EA917CAE0E664773D21BED28AC72F951CE1BC02F257C7D48E8276D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:jDf22/fpBrrrro8rrrrqmrrr8d38Cy8qrml7YFsRryFF8j+nyjVr:+sfp6sC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36066:CwBhhQqCI8AMRiEFxhdS1CCAhALoj5iNgAFIgQSy2MKQ5ugluCgUYQMVqHAg7ABAAQIQJmCQY4cBwQAFBUeBGIhBghwr4IVJ

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:ff9181b1f1ffffff
Perceptual Hash:ec6c9393cf64241e
Difference Hash:71232723239c162b
Wavelet Hash:b880818191ffc3ff
Color Hash:#c587bd

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data