Security Scan Report: sesese-dpjh0y68xlax.edgeone.dev

Submitted: Sep 28, 2026, 6:08:06 AMCompleted: Sep 28, 2026, 6:08:43 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Grey-market store selling fake followers and OTP/SMM services, on a free unknown-age subdomain. No phishing, credential harvesting, impersonation, or malware found, so risk stays moderate — but the services offered are abuse-enabling.

Risk Factors (2)
Storefront advertises sale of fake social-media engagement (followers, likes, members) — platform-manipulation services.
Advertises 'Nokos' disposable phone numbers for OTP verification, a common fraud/account-creation enabler, and an 'SMM panel' injection service.
Safety Factors (5)
No JavaScript malware or YARA matches; no obfuscated scripts.
No network IDS alerts, no Safe Browsing hit, no known phishing kit.
No cross-origin credential submission or exfiltration; all scripts served from own domain.
No password/login fields — payment options are ordinary Indonesian retail rails for the store's own checkout.
Naming TikTok/Instagram/Telegram as product categories is service reference, not impersonation of those brands.
Domain age information unavailable

Details

Page Title

Purqin store — Toko Online Modern & Profesional

Scan Type

public

Domain Name Analysis

The domain name 'sesese-dpjh0y68xlax.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'sesese-dpjh0y68xlax'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Segmentation suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sesese-dpjh0y68xlax.edgeone.dev/

Page Load Overview

3.96s
Total Load Time
626 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:id
Text Length:1,556 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network88% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
88%
e-commerce
35%
finance banking
32%

Detected Features

Payment
Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17143.174.246.29Singapore
169142.251.110.95Google · CDNUnited States
AS15169Google LLC
169104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
169146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
169142.251.20.94Google · CDNUnited States
AS15169Google LLC
16943.174.247.29Singapore
169104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11857--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD938595D1F310B1186390B967EB4B8A3B60E103DD4ACD157EDC67800FCAFA5AA6378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:bwEXJlHgn0sfawtIxzheRLR4qGR6cZnUtGoWA6E8oZhHbsckiZstks:Hzgn7ueRLR4qG3ZgG0PH52F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94230:6DIwQZkfARQbACCCRAIADSRwksixPIQAgMIEUSE3azAQSEZAoBhCgQQxWTRIUDqKHg4Qg1AHiYBhQIAyvUIIJwNIFB0UgBpK

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:006e6e0e4c000028
Perceptual Hash:93936c6c686c6795
Difference Hash:91d8d8d8d8c5a1d9
Wavelet Hash:417e7e0e6f60487c
Color Hash:#bf4060

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data