Security Scan Report: pax.ssffaa4.xyz

Redirected to:
https://2026-09-12.urldance.com/english?ssffaa4.xyz
Site favicon
Submitted: Sep 12, 2026, 7:47:50 PMCompleted: Sep 12, 2026, 7:48:32 PMpubliccompleted

This website contacted 8 IPs in 3 countries across 6 domains to perform 10 HTTP transactions. The main domain is 2026-09-12.urldance.com and was registered 3 months ago.

Submitted URL: https://pax.ssffaa4.xyz

Effective URL:

https://2026-09-12.urldance.com/english?ssffaa4.xyz
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Password-gated redirect page on hosts flagged for the Vidar infostealer (multi-source). Password-only form plus off-domain redirect indicate credential/malware harvesting — avoid interaction.

Risk Factors
Host domain itself listed as Vidar infostealer in multi-source threat intelligence
Password-only form (no username) — credential harvesting shape
Obfuscated/duplicative gate page ending in a cross-domain redirect
eval()/Function() constructor usage in page JavaScript
Unranked domain (not in Cisco Umbrella top 1M) with no legitimate business footprint
Domain age information unavailable

Details

Page Title

Resource Library - Premium Content, Secure Access

Scan Type

public

Domain Name Analysis

Within the open generic top-level domain (.xyz), 'pax.ssffaa4.xyz' is registered, featuring subdomain 'pax'. The core label 'ssffaa4' covers 7 characters holding 2 vowels versus 4 consonants, along with one digit. It segments into five words: s, s, ffa, a, 4. Average segment length settles at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pax.ssffaa4.xyz

Page Load Overview

15.00s
Total Load Time
58 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:x-default
Text Length:261 chars
Detector Agreement:100%
Language mismatch: Declared as x-default but detected as en

Website Classification

Primary Category

adult content50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
50%
government public service
35%
documentation technical
35%
news media journalism
34%
cryptocurrency blockchain
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
354.215.31.113Aws · CLOUDSan Jose, California, United States
AS16509Amazon.com, Inc.
1156.225.108.41Hong Kong
AS139057Edgenext Legend Dynasty Pte. Ltd.
1156.225.108.42Hong Kong
AS139057Edgenext Legend Dynasty Pte. Ltd.
1111.45.3.198China
AS9808China Mobile Communications Group Co., Ltd.
1156.225.108.43Hong Kong
AS139057Edgenext Legend Dynasty Pte. Ltd.
1183.240.98.228China
AS56040China Mobile communications corporation
1125.74.108.42China
AS141998China Telecom
1112.46.240.46China
AS9808China Mobile Communications Group Co., Ltd.
108--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3914F3041F8653F948281C86A79E76FBAD1D84BDA1F4100B6FC6BA44F87EC2EC27159

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:CkbEpKm/dTu8xR8xR8xR8xsq5qXCEL5CdJrAYjlMJHbSdRdn5Tn9sz5mXyCZ8lg7:CkMKUFx5tFTBSLfEm4ikKc102u

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4441:QoGQKgARLAEgIBgIAVggAaEEGgEIACAGAAgBgAoRBEgAACIQAOAADTMAGICAQCxAgAAAgEpDIoQCIRUAMjgiwEAQEAKwUALC

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:061c1c1838383860
Perceptual Hash:8936738e668d9933
Difference Hash:fcf0f2b2f0b2f0c0
Wavelet Hash:0f1e1e3c3c7878f0
Color Hash:#9579d2

Other Hashes

Crop Resistant:fcf0f2b2f0b2f0c0

Scan History

Scan history not available

Unable to load historical scan data