Security Scan Report: 2fcfbd.991jili.site

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 13 HTTP transactions. The main domain is 991jili.site and was registered 7 months ago.

Submitted URL: https://2fcfbd.991jili.site

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

A Japanese-language Amazon look-alike sign-in page on the unrelated, unranked domain 2fcfbd.991jili.site that collects email and password and is flagged by Google Safe Browsing for social engineering — a credential phishing page.

Risk Factors (5)
Brand impersonation of Amazon on a non-Amazon domain
Login form harvesting email and password
Form action is javascript:void(0), consistent with script-driven credential capture
Google Safe Browsing social-engineering (phishing) detection
Unranked domain with a random-looking subdomain label hosting a brand login page
Domain age information unavailable

Details

Page Title

Amazonサインイン

Scan Type

public

Domain Name Analysis

Within the .site top-level domain, '2fcfbd.991jili.site' is registered and includes subdomain '2fcfbd'. Count 7 characters in '991jili' with 2 vowels and two consonants, notching 3 digits. It segments into three words: 991, jil, i. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

aMaZON op 2/ サインインまたはアカウントを 作成 携帯電話番号またはEメールアドレスを入力し ます | 次に進む 続行することで、Amazonの利用規約およびプライ バシー規約に同意したものとみなされます。 ヘルプが必要ですか?. お仕事のための物品購入ですか?. 無料のビジネスアカウントを作成する 利用規約 プライバシー規約 ヘルプ © 1996-2026、Amazon...

Page Load Overview

2.12s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:60%
Script:Mixed
Direction:ltr

Detection Details

Text Length:226 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping43% confidence
Type: webapp
Method: ml+structural

All Detected Categories

e-commerce shopping
43%
corporate business
33%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1347.79.90.89Tokyo, Tokyo, Japan
AS45102Alibaba (US) Technology Co., Ltd.
131--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A414726BE95312F76F02622512DB7C8637346443F614FF25F9CE66884FCA3A1A952F02

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:64lYYQQL8lzNtZ91Fc8AvBXEXN4kKcoqK6ml1VGIPaPRbZPhyeslBtdV7V6qVEbH:6GQu8lzNz91FwHBtdV7VVVoH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:194127:GAgAwABASBCUORqAN3IgskigBzMQWNgArqDWICAGABggDYiFAZEUAEIAQAyiQEhFQKIEyoVEJpIYEJAAihAACHE1VnphQmCZ

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:e7e7e7e7e7ffffff
Perceptual Hash:b333a2cc899b6666
Difference Hash:0c0c0c080c000000
Wavelet Hash:e0e0e0e000ffcfcf
Color Hash:N/A

Other Hashes

Crop Resistant:0c0c0c080c000000

Scan History

Scan history not available

Unable to load historical scan data