Security Scan Report: www.dpdlocajf.cyou

Submitted: Apr 28, 2026, 12:36:48 PMCompleted: Apr 28, 2026, 12:38:01 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is dpdlocajf.cyou and was registered NaN years ago.

Submitted URL: https://www.dpdlocajf.cyou/com

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site is a newly registered, unranked domain impersonating DPD (UK) and is flagged as phishing; treat as high‑risk and do not engage.

Risk Factors
Newly registered domain (<7 days) used for brand impersonation
Unranked domain presenting a well‑known brand name
High‑confidence phishing classification by ML model
Domain age information unavailable

Details

Page Title

DPD (UK) - Your delivery experts

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

phishing scam

(78%)

Domain Information

You're looking at domain 'www.dpdlocajf.cyou' on the .cyou top-level domain, featuring subdomain 'www'. Its registrable label 'dpdlocajf' stretches across 9 characters split between two vowels and seven consonants. Tokenizing the label suggests 6 words: d, pd, loc, a, j, f. Average segment length settles at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.dpdlocajf.cyou/com

Page Load Overview

2.69s
Total Load Time
6
HTTP Requests
1
Domains
627 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:413 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam78% confidence
Type: static
Method: ml+structural

All Detected Categories

phishing scam
78%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.156.117.139Singapore, Singapore
AS132203Tencent Building, Kejizhongyi Avenue
61--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184C080B6C011450D5B3015F4C982B4545E4C520DD1325E5075D0D194E444967808329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYyj2e09Ab0qa:qzxV/5VHHoB96D3ne1k9Yyieb8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:ca75196e307a2ebc4d368ffc1154c7f3

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:7fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#35d22d

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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