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Security Scan Report: app.shoplift.ai

Redirected to: https://app.shoplift.ai/auth-missing

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Submitted: Dec 2, 2025, 11:21:58 PMCompleted: Dec 2, 2025, 11:23:39 PMpubliccompleted
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Summary

This website contacted 102 IPs in 4 countries across 26 domains to perform 115 HTTP transactions. The main domain is app.shoplift.ai and was registered NaN years ago.

Submitted URL: https://app.shoplift.ai/

Effective URL: https://app.shoplift.ai/auth-missingRedirected

The Cisco Umbrella rank of the primary domain is #19,142 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security concerns.

Safety Factors
Well‑established domain with minimal risk
High Cisco Umbrella ranking indicating reputable site
Absence of login or payment forms eliminates credential harvesting risk
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Shoplift

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(57%)

Domain Information

You're looking at domain 'app.shoplift.ai' on the Anguillan country-code top-level domain (.ai), featuring subdomain 'app'. The registrable portion 'shoplift' spans 8 characters containing 2 vowels alongside 6 consonants. It segments into 1 word: shoplift. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.shoplift.ai/

Page Load Overview

0.72s
Total Load Time
115
HTTP Requests
26
Domains
2.2 MB
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:638 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
57%
healthcare medical
40%
e-commerce shopping
30%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5734.117.112.1Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
11157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
11104.17.26.24United States
AS13335CLOUDFLARENET
9104.17.91.187United States
AS13335CLOUDFLARENET
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.250.185.232United States
AS15169GOOGLE
3142.250.185.227United States
AS15169GOOGLE
2104.16.107.254United States
AS13335CLOUDFLARENET
2104.16.137.209United States
AS13335CLOUDFLARENET
2216.239.34.36United States
AS15169GOOGLE
115102--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E933B28827240EFDB5130BD6FB6232B63546626BCA06D224F57E16B027C1E8C9D7BCD5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9js3O4xpTa7/7ZnHRGAaVjs3O4Z/nOML0DsEOp1Ujs3O4XvI:9j4pTaT7ZcAaVjm/nOMLAOp1UjcvI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53685:CAC4RKlGCQIRAgBKfCSPIBNQaBlkFNJJFuWiCgBCYchTisgSA4mojIDQRGBCEJsAwAgKuLiDIFiBMIFUjRIEIgMQ0OjqDkFn

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:00ffffffffe7ffff
Perceptual Hash:f65c4d761c4e6618
Difference Hash:b200000e964d4c30
Wavelet Hash:00fe000000001800
Color Hash:#3ad22d

Other Hashes

Crop Resistant:001448aa0f4d320c,100030b2b2300010,51449adccc168041

Scan History

Scan history not available

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