Security Scan Report: zikaf.com

Redirected to: https://de.aliexpress.com/item/1005007481999540.html?pdp_npi=4%40dis%21USD%2147.22%2127.08%21%21%21334.15%21191.64%21%402140ef9617630401774812852d00ca%2112000040930726325%21affd%21%21%21&aff_fcid=0a4c0b2db29244739e7fdd8a01e93906-1767840538451-07386-_c4efAi9L&aff_fsk=_c4efAi9L&aff_platform=portals-billboard-fp&sk=_c4efAi9L&aff_trace_key=0a4c0b2db29244739e7fdd8a01e93906-1767840538451-07386-_c4efAi9L&terminal_id=d9b272f7d9e74d908211efd18fd5148a&afSmartRedirect=y&gatewayAdapt=glo2deu4itemAdapt

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Submitted: Jan 8, 2026, 2:48:52 AMCompleted: Jan 8, 2026, 2:50:12 AMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 13 domains to perform 70 HTTP transactions. The main domain is de.aliexpress.com and was registered NaN years ago.

Submitted URL: https://zikaf.com/9rert?vfr4f=3e020c32cd199c1c0a0b&kolid=HENA12YVPR3MLLCP26S2SSEM&rjcnpo=0.015&plcpo=apix34-thisworldthesedays.com&cpmpo=102098&sbpo=219357529

Effective URL: https://de.aliexpress.com/item/1005007481999540.html?pdp_npi=4%40dis%21USD%2147.22%2127.08%21%21%21334.15%21191.64%21%402140ef9617630401774812852d00ca%2112000040930726325%21affd%21%21%21&aff_fcid=0a4c0b2db29244739e7fdd8a01e93906-1767840538451-07386-_c4efAi9L&aff_fsk=_c4efAi9L&aff_platform=portals-billboard-fp&sk=_c4efAi9L&aff_trace_key=0a4c0b2db29244739e7fdd8a01e93906-1767840538451-07386-_c4efAi9L&terminal_id=d9b272f7d9e74d908211efd18fd5148a&afSmartRedirect=y&gatewayAdapt=glo2deu4itemAdaptRedirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Untrusted redirect from an unranked domain to AliExpress; likely phishing attempt.

Risk Factors
Brand impersonation on an unusual, unranked domain
Suspicious redirect from an unknown domain to a legitimate brand site
Domain not listed in Cisco Umbrella top 1M (low reputation)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(25% confidence)

Category

e-commerce shopping

(65%)

Domain Information

The domain 'zikaf.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'zikaf' stretches across 5 characters containing 2 vowels alongside 3 consonants. It segments into three words: zi, ka, f. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zikaf.com/9rert?vfr4f=3e020c32cd199c1c0a0b&kolid=HENA12YVPR3MLLCP26S2SSEM&rjcnpo=0.015&plcpo=apix34-thisworldthesedays.com&cpmpo=102098&sbpo=219357529

Page Load Overview

4.17s
Total Load Time
70
HTTP Requests
13
Domains
574 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:25%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:25%
Script Type:Latin
Text Length:1,307 chars
Detector Agreement:67%

Website Classification

Primary Category

e-commerce shopping65% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
65%
technology software
41%

Detected Features

Search
OG: product

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
613.35.58.123United States
AS16509AMAZON-02
423.52.182.142Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
457.129.38.221Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
465.9.175.79United States
AS16509AMAZON-02
465.9.175.70United States
AS16509AMAZON-02
418.66.102.126United States
AS16509AMAZON-02
4163.181.58.166Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
418.66.102.93United States
AS16509AMAZON-02
488.221.170.127Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
418.66.102.9United States
AS16509AMAZON-02
7017--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2443B9D3594707A03E710E9606F2209B036A556B449C8D0FAADD9D0AFB4ECF5037FAE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:5BfJxdsX2KPF89dSJx0vKZ8FunabRKaORKalaaW:DRxdsGvdWjZU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:276247:RAQgkBgQFcSEhABMUyMrkgGQqlgRZhEEegUIEylkDbAJoAPoEHsWSxBCAsKCMyhwDKiKYGKoAsgAQuKaCCjMSckBGbZGvgAA

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:1818181818000000
Perceptual Hash:9c9c6263c9636367
Difference Hash:b333333333cd3101
Wavelet Hash:1919191919c1e7ff
Color Hash:#95d279

Scan History

Scan history not available

Unable to load historical scan data