Security Scan Report: v3.161886.xyz

Redirected to:
https://v3.161886.xyz/login
Site favicon
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 71 HTTP transactions. The main domain is 161886.xyz and was registered 1 year 8 months ago.

Submitted URL: https://v3.161886.xyz/

Effective URL:
https://v3.161886.xyz/login
Redirected

AI Security Verdict

Moderate Risk

Confidence: 58%

5
Risk Score

Self-branded login console for a purported AI pentest system on an aged but unranked .xyz domain. Only a single unverified threat-intel tag plus generic IDS signatures; no phishing form, impersonation or malware evidence.

Risk Factors (5)
Single-source unverified threat-intelligence match on the hosting domain
Three HIGH-severity IDS alerts (generic 'id check returned root' attack-response signature)
Domain has no Cisco Umbrella ranking and no legitimacy signals beyond age
User-published hunting rule match in a page script (supporting evidence only, not analyst-vetted)
Publicly exposed login gate for a penetration-testing console with no visible operator identity, legal pages or contact details
Safety Factors (6)
Domain is approximately 620 days old (established, past the 1-year mark)
Login form is same-origin, with no cross-origin submission and no detected credential exfiltration
No payment or card fields present
No JavaScript malware patterns and no known malicious kit in the roster
Site presents its own brand rather than impersonating another organisation
All scripts served from the site's own domain; no third-party script hosts
Domain age information unavailable

Details

Page Title

ARTEX — 自主渗透测试控制台

Scan Type

public

Domain Name Analysis

The domain 'v3.161886.xyz' uses the open generic top-level domain (.xyz), featuring subdomain 'v3'. Its registrable label '161886' stretches across 6 characters containing 0 vowels alongside 0 consonants, plus six digits. Splitting it apart reveals 1 word: 161886. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://v3.161886.xyz/

Page Load Overview

5.69s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:67 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

technology software74% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
72%
cryptocurrency blockchain
62%
phishing scam
46%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36172.67.151.98Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
35104.21.72.147Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
712--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D913A505BC08E6606C3BED0D96BD5E39C058B8738A318468F14DC98D8BD5BF627E9ED1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:UpamVXmge7eulkcoZh1V5x0rGV4xksc64Jysq7vFr+vz+v+BmAL1FNFyfB2LZFiF:Ofebx/c64Jysq7vMvyvcmW1HFy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42737:UORKLFCNqCiiHisJMFMAgmIZkQAUAKKEMFQTBE5IISwC3weKWEFAREAKMRORYG+KAFomCK80iyjolEAAGhERJHlXFjQ2CIDN

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:1f1f1f1f1f1f1f1f
Perceptual Hash:8c92976df0926f16
Difference Hash:747476f6f7777076
Wavelet Hash:1f1f1b1313111f1f
Color Hash:#40acbf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data