Security Scan Report: www.999ask.com

Submitted: Mar 25, 2026, 10:27:34 PMCompleted: Mar 25, 2026, 10:30:46 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 10 domains to perform 1 HTTP transaction. The main domain is 999ask.com and was registered NaN years ago.

Submitted URL: https://www.999ask.com

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site is hosted on a known malicious IP; treat as unsafe and do not interact.

Risk Factors
Presence of a known malicious IP (Indicators of Compromise)
Unranked domain status combined with suspicious third‑party domains
Potential drive‑by or hidden malicious content despite lack of detected JS malware
Domain age information unavailable

Details

Page Title

邻医网_免费问医生_名医在线咨询_在线医生免费咨询_邻医网

Scan Type

public

Language

🇰🇷

Korean

(62% confidence)

Category

healthcare medical

(87%)

Domain Information

You're looking at domain 'www.999ask.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. Its registrable label '999ask' stretches across 6 characters with one vowel and 2 consonants, notching three digits. Segmentation suggests two words: 999, ask. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.999ask.com

Page Load Overview

189.87s
Total Load Time
106
HTTP Requests
10
Domains
2.8 MB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:62%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:62%
Script Type:Hangul
Text Length:8,727 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
87%
government public service
50%
adult content
32%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18163.181.254.193United States
AS24429Zhejiang Taobao Network Co.,Ltd
11155.102.51.1Germany
11106.225.241.95China
AS134238CHINANET Jiangx province IDC network
11104.18.96.225United States
AS13335Cloudflare, Inc.
1158.218.215.70China
AS4134Chinanet
11123.56.224.80Beijing, Beijing, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
1158.218.215.66Unknown
11112.126.68.108Beijing, Beijing, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
11111.45.3.198China
AS9808China Mobile Communications Group Co., Ltd.
1069--

Detected Technologies2

JQueryv1.8.3
100%
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15CE3CDA522CC1C9B8371638E6C292328549F9EF7C5650D67F1BF0D676786E822C0D4EB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:M84CIIGWwQ/hyovpcjtukIIo+UHjW+XRc1pwvVUlJVO1E:M84JfQ/hzvpKul+UaEcEv4+E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157017:owkVCgAQBGSBCEAqGnnkQRwoC6FxlVtCBGAESEukAoiagmpEZccwWDwwIFIE2qICoCIQgiELkkJSKjQIIQiMAxFEVjQyyAU4

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:fbc3dfdfc3e3e3ff
Perceptual Hash:bc98c7679a98c392
Difference Hash:263636340e4e0e06
Wavelet Hash:c383838bc3e1e3e3
Color Hash:#2d8661

Scan History

Scan history not available

Unable to load historical scan data