Security Scan Report: abacus-oo-niku-shiki.firebaseapp.com

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Submitted: Oct 11, 2026, 9:54:11 AMCompleted: Oct 11, 2026, 9:54:52 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Unranked Firebase subdomain of unknown age showing a first-party email/password sign-in for an unnamed 'Online Store'. No malware, phishing kit, impersonation or exfiltration evidence; treat as unverified app, not a confirmed scam.

Risk Factors (3)
Login form collecting credentials on an unranked shared-hosting subdomain of unknown age
Page has no verifiable ownership, ranking or reputation for the 'Online Store' / restaurant app it claims to be
Register link points to '#' (incomplete/orphan functionality)
Safety Factors (5)
No Indicators of Compromise or threat-intelligence matches against the page or its resources
No JavaScript malware patterns, no known malicious kit, no obfuscated or exfiltrating scripts
Form submits same-origin; no cross-origin credential submission or exfiltration detected
Google/Facebook buttons are standard OAuth provider integrations, not brand impersonation
External hosts are ordinary services (Stripe, Google Maps/Fonts, BootstrapCDN, Bugfender)
Domain age information unavailable

Details

Page Title

Online Store

Scan Type

public

Domain Name Analysis

You're looking at domain 'abacus-oo-niku-shiki.firebaseapp.com' on the commercial generic top-level domain (.com), featuring subdomain 'abacus-oo-niku-shiki'. Count 11 characters in 'firebaseapp' split between 5 vowels and six consonants. It segments into three words: fire, base, app. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://abacus-oo-niku-shiki.firebaseapp.com/

Page Load Overview

2.42s
Total Load Time
2.5 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
2199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
2142.251.127.95Google · CDNUnited States
AS15169Google LLC
2104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
213.226.244.101Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.20.101Google · CDNUnited States
AS15169Google LLC
2172.217.116.4Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2141.95.8.109France
AS16276OVH SAS
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5025--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A1295729450153B020389C8B075F77EB5B7C20AEF03096476FC67AD5FDAED20CA92A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:g1QIJrkH5hLJi5KdQiN9eSK8dLEn7UWfNfwm:iUdioKiXeN8d2oA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9361:ECohIYCAKCAAMSvMFLjeHhcYuQowFIFBAQVEwgIIiGAbgRqIgIOsBhwThtQKwTA6trghA1JlBqAEQgAQANFAECJX3ClwvWgh

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:2a98d0c0d0c0c0c0
Wavelet Hash:00000c7e7e7e7e7e
Color Hash:#865c2d

Scan History

Scan history not available

Unable to load historical scan data