Security Scan Report: xffq998.top

Redirected to: https://xffq998.top/

Submitted: Mar 21, 2026, 5:07:05 AMCompleted: Mar 21, 2026, 5:08:46 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is xffq998.top and was registered NaN years ago.

Submitted URL: http://xffq998.top/

Effective URL: https://xffq998.top/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

金融贷款

Scan Type

public

Language

🇪🇸

Spanish

(50% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'xffq998.top' on the .top top-level domain and has no subdomain. Count 7 characters in 'xffq998' containing 0 vowels alongside 4 consonants, plus 3 digits. Splitting it apart reveals 3 words: xff, q, 998. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://xffq998.top/

Page Load Overview

0.36s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:42 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as es

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2111.231.169.247Hong Kong
1203.91.76.152Hong Kong
AS400619AROSSCLOUD INC.
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CAA20F30B0513C6E643BE091B5A11F28701AD732D73A0F9CB7BD26579BCA8F62A75364

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SAZXeLfLgxxoZ0ZYZ5sfTYsfgLGsfJL7sfrLxv5TTzhBeC3D:XZX4fLgnoZ0ZYZ5sfTYsfg6sfJXsfr97

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22844:mBEAB5SAAgQqWNQvADDEVbHAXEQpQM6Ge1aUAiFSRABLILCG4j5ThNwJRgKYJAQD7KCIFiRJ5jQTQAggA4cIVrAIG0BoiKFS

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:0000ffffffffffff
Perceptual Hash:ff00287c84bfd49a
Difference Hash:2485494954846b48
Wavelet Hash:00003cacfefe81ff
Color Hash:#5360ac

Other Hashes

Scan History

Scan history not available

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