Security Scan Report: pages-cme.cfd

Redirected to: https://pages-cme.cfd/#/

Submitted: Nov 20, 2025, 8:48:00 PMCompleted: Nov 20, 2025, 8:51:32 PMpubliccompleted
Loading additional data...

Summary

This website contacted 22 IPs in 4 countries across 4 domains to perform 27 HTTP transactions. The main domain is pages-cme.cfd and was registered NaN years ago.

Submitted URL: http://pages-cme.cfd/

Effective URL: https://pages-cme.cfd/#/Redirected

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

The site impersonates CME Group on a brand‑new, unranked domain – high‑risk phishing.

Risk Factors
Brand impersonation/typosquatting
Critical‑age domain (<7 days)
UNRANKED/low‑reputation domain
Final destination domain does not belong to the advertised brand
Domain age information unavailable

Details

Page Title

CME Group

Scan Type

public

Language

🇺🇸

English

(69% confidence)

Category

cryptocurrency blockchain

(94%)

Domain Information

Within the .cfd top-level domain, 'pages-cme.cfd' is registered with no subdomain. The core label 'pages-cme' covers 9 characters split between 3 vowels and 5 consonants, plus one hyphen. Segmentation suggests three words: pages, c, me. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://pages-cme.cfd/

Page Load Overview

4.73s
Total Load Time
27
HTTP Requests
4
Domains
283 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:69%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:69%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:785 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

cryptocurrency blockchain94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
94%
gambling betting
54%
finance banking
53%
technology software
52%
e-commerce shopping
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
133.5.157.167Tokyo, Tokyo, Japan
AS16509AMAZON-02
995.214.181.213Hong Kong
AS212238Datacamp Limited
652.219.199.57Tokyo, Tokyo, Japan
AS16509AMAZON-02
3103.26.10.121Mumbai, Maharashtra, India
AS44259Ultahost, Inc.
1124.220.205.65Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
13.5.156.202Tokyo, Tokyo, Japan
AS16509AMAZON-02
13.5.158.207Tokyo, Tokyo, Japan
AS16509AMAZON-02
152.219.150.73Tokyo, Tokyo, Japan
AS16509AMAZON-02
152.219.172.61Tokyo, Tokyo, Japan
AS16509AMAZON-02
13.5.157.68Tokyo, Tokyo, Japan
AS16509AMAZON-02
2722--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15A74F8219B07246BB12BDE6CA5C0BA992F14C333D4725BABFE65741CCBD64C91163A0F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:fbfiP8jCIfaGBqTB0Dn/Pai2/PaiP6A6e:fbfiEfaN10D/PUPx6A6e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:344159:pwSBAEsECEgG0EBfQw2NWYEAaKAAKIDgE8ShQiDMboaCGUbuBaIIAtHgMQQAEALkQAI4ACkgREgBggMECACQmqCF/5YZCqBC

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:ff3f7fff2525253f
Perceptual Hash:8380807afcfc7f62
Difference Hash:80c0da1269694d55
Wavelet Hash:fe3f00fe25252433
Color Hash:#53ac5a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data