Security Scan Report: refundbill24.web.app

Redirected to:
https://citymall-saratov.ru/sw/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 8 domains to perform 66 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://refundbill24.web.app/

Effective URL:
https://citymall-saratov.ru/sw/
Redirected

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Redirects to citymall-saratov.ru, a self-branded Russian mall site showing a 404 page with only a search form. No credential/payment forms, no impersonation, no threat-intel or malware hits. Unknown domain age keeps confidence moderate.

Risk Factors (2)
Scan began on an unrelated, suspiciously named host (refundbill24.web.app) that redirected to a different registrable domain
Unknown creation date for the final domain (citymall-saratov.ru); platform apex age is not attributable to the page
Safety Factors (5)
Page displays its own brand matching its own domain — no impersonation of another entity
No credential or payment form; only a search form
Physical address and phone number visible (legitimacy indicator)
No Indicators of Compromise, no malware/YARA, no IDS alerts, no Safe Browsing hit
JavaScript loaded only from common, ranked third-party hosts (Yandex maps/metrics) with no cross-origin credential contact
Domain age information unavailable

Details

Page Title

Сити Молл - Саратов

Scan Type

public

Domain Name Analysis

The domain name 'refundbill24.web.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'refundbill24'. Its registrable label 'web' stretches across 3 characters with 1 vowel and two consonants. Word splitting yields 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://refundbill24.web.app/

Page Load Overview

5.72s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru-RU
Text Length:582 chars
Detector Agreement:50%

Website Classification

Primary Category

entertainment media99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
99%
real estate property
28%
adult content
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1037.140.192.89Russia
AS197695Domain names registrar REG.RU, Ltd
7199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
787.250.251.134Yandex · CLOUDRussia
AS13238YANDEX LLC
787.250.251.119Yandex · CLOUDRussia
AS13238YANDEX LLC
777.88.44.55Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
787.250.250.119Yandex · CLOUDRussia
AS13238YANDEX LLC
737.9.64.225Yandex · CLOUDRussia
AS13238YANDEX LLC
777.88.21.119Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
787.250.251.89Yandex · CLOUDRussia
AS13238YANDEX LLC
669--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13A3343EB4BB8D0F41C9E2A9AEF366DCE2A0B20F9DB555CC4537CEC55C683DC49A48940

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Epa/0ghiWxIfefN3MGF39DHsX9vvr4mqeNPrJfcHLxs1OVzMJLhm:50ghNxgefN3MU39DMgeNJf+wJLhm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50859:HTmikIgigo4gSACpAtA4kyaZQ0jAGGD6ZAoiZUAZHCBxYMkpBaABkcSSAJANBwCZglLX1TmGmDqiRCERRAQZRQAAcgAxcSdo

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:ffffbfffffff0000
Perceptual Hash:9e9c43e061bcbe1c
Difference Hash:32722032822cd5c9
Wavelet Hash:df3fbf9f52c40000
Color Hash:#6fac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data