Security Scan Report: rss.dev.lululemon.app

Submitted: Feb 17, 2026, 5:35:10 PMCompleted: Feb 17, 2026, 5:36:34 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is rss.dev.lululemon.app and was registered NaN years ago.

Submitted URL: https://rss.dev.lululemon.app

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>7 years old)
No malicious Indicators of Compromise
No credential or payment forms
No suspicious JavaScript or malware
Hosted on standard infrastructure
Domain age information unavailable

Details

Page Title

rss.dev.lululemon.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(75%)

Domain Information

The domain name 'rss.dev.lululemon.app' uses the application-focused generic top-level domain (.app) with subdomain 'rss.dev'. Its registrable label 'lululemon' stretches across 9 characters with four vowels and five consonants. It segments into two words: lulu, lemon. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rss.dev.lululemon.app

Page Load Overview

2.95s
Total Load Time
1
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:236 chars
Detector Agreement:67%

Website Classification

Primary Category

entertainment media75% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
75%
technology software
59%
adult content
54%
news media journalism
54%
healthcare medical
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1172.172.255.228Washington, Virginia, United States
AS8075Microsoft Corporation
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz/FYfz4mGVgN2bMy8OldE:XhoC9JSqzzbs6o3Sj3gcrsu2eAq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184496:s0GYEAq7AEkACHAmEBTQbkbAYxCCoGix4T6yJS5pGwdEAqghHoWBCEKDKIJI74QAAAAFlohchGaDECU2NACSBBqgRCgFJNUM

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:ffcfc3c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#cbd279

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data