Security Scan Report: sli.health.com

Redirected to: https://p.liadm.com/?_lc2_fpi=2022922af36b--01kfkgqc2x6e5mvnrk74c1pgmz

Submitted: Jan 22, 2026, 6:50:59 PMCompleted: Jan 22, 2026, 6:52:44 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is p.liadm.com and was registered NaN years ago.

Submitted URL: https://sli.health.com

Effective URL: https://p.liadm.com/?_lc2_fpi=2022922af36b--01kfkgqc2x6e5mvnrk74c1pgmzRedirected

The Cisco Umbrella rank of the primary domain is #146,629 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns; currently unreachable but poses no risk.

Safety Factors
Well‑established domain (registered 2010)
No login or payment forms present
No malicious Indicators of Compromise matches
Standard hosting environment
Domain age information unavailable

Details

Page Title

p.liadm.com

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'sli.health.com' on the commercial generic top-level domain (.com), featuring subdomain 'sli'. The second-level label 'health' is 6 characters long split between 2 vowels and four consonants. Splitting it apart reveals 1 word: health. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sli.health.com

Page Load Overview

0.85s
Total Load Time
3
HTTP Requests
2
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:9 chars
Detector Agreement:0%

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
254.192.35.113United States
134.233.241.148Ashburn, Virginia, United States
AS14618AMAZON-AES
32--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AB048F77329A063985558498E05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszw2bMy8OldB:EhoC9JSqzzbs6o3Sj3gcrsc2eAv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184596:KQRyEIBJAjwKIBgJskEATChyzOCHBFMKUCMgCUAFgbYIgEBuiJSAG4CG6pCnAmRwGGggANIiIlIAZCQmkQiwEkg4A2SDAJAU

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:ffcfc3c7ffffffff
Perceptual Hash:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:30100004f0f0f0f0
Color Hash:#c0c587

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data