Security Scan Report: abacus-oo-niku-shiki.web.app

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Submitted: Oct 4, 2026, 8:54:15 AMCompleted: Oct 4, 2026, 8:54:58 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

5
Risk Score

Generic email/password sign-in on a web.app tenant of unknown age with no threat-intel, YARA, IDS or exfiltration signals. Google/Facebook buttons are OAuth providers, not impersonation. Unverified identity warrants caution, not a scam verdict.

Risk Factors (3)
Login form (email + password) hosted on a free shared platform subdomain (web.app) whose tenant creation date cannot be verified
Unranked domain with no published reputation or verifiable identity behind the generic 'Online Store' branding
Incomplete user journey — 'Register' link resolves only to '#' — consistent with a thin or unfinished app shell
Safety Factors (5)
No Indicators of Compromise or threat-intelligence matches against the page or its resources
No JavaScript malware/YARA patterns, no known malicious kit in the roster, no network IDS alerts
Form is same-origin (no cross-origin credential submission) and no credential exfiltration was observed
Google/Facebook sign-in buttons are standard OAuth providers, not brand impersonation; Stripe SDK indicates conventional payment integration
Third-party script hosts are established, top-1M-ranked domains (Google, Stripe, BootstrapCDN)
Domain age information unavailable

Details

Page Title

Online Store

Scan Type

public

Domain Name Analysis

The domain name 'abacus-oo-niku-shiki.web.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'abacus-oo-niku-shiki'. The second-level label 'web' is 3 characters long holding one vowel versus two consonants. Word splitting yields one word: web. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://abacus-oo-niku-shiki.web.app/

Page Load Overview

5.62s
Total Load Time
2.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Text Length:194 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network29% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
3142.251.14.95Google · CDNUnited States
AS15169Google LLC
3104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3142.251.20.139Google · CDNUnited States
AS15169Google LLC
3172.217.114.4Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
357.129.56.148Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5016--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1451295729454153B021789C8B075B77E76F7C20DEF03091476FC63AD5BDAEE21DA82A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:g1QIJrkH5hLJi5KdQiN9eSK8dLJJwa2rlf8m:iUdioKiXeN8dPLQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9536:ECohAYiEKKAAsSnMFLhOj8cYmwZwDIHRAGdEwkkIBGESAAAIgMOsBhgTRJAqC7CosJghA1plRiQESgAQCNFAESNV3ClwnUoB

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:00006cffffffffff
Perceptual Hash:d1515565e7e7c540
Difference Hash:2a98d0c0d0c0c8c0
Wavelet Hash:00000c7e7e7e7e7e
Color Hash:#2dd298

Scan History

Scan history not available

Unable to load historical scan data