ScanMalware.com

Security Scan Report: sislovesme.com

Redirected to:
https://www.familystrokes.com/verify?autocamp=verify_sislovesme.com
Site favicon
Submitted: Jul 2, 2026, 7:14:01 PMCompleted: Jul 2, 2026, 7:29:47 PMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 1 country across 6 domains to perform 1 HTTP transaction. The main domain is familystrokes.com and was registered NaN years ago.

Submitted URL: https://sislovesme.com

Effective URL: https://www.familystrokes.com/verify?autocamp=verify_sislovesme.comRedirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

Page shows brand mismatch and heavily obfuscated JavaScript but lacks credential collection; moderate risk.

Risk Factors
Brand mismatch between meta tags and domain
Highly obfuscated JavaScript (base64, charcode, excessive concatenation)
Unranked domain lacking reputation
Safety Factors
Domain age 4049 days (well‑established)
No forms collecting passwords, emails, or payment data
No Indicators of Compromise matches
No JavaScript malware YARA signatures
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Family Strokes Network: Age Verification Required

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(56%)

Domain Information

You're looking at domain 'sislovesme.com' on the commercial generic top-level domain (.com) without a subdomain. Count 10 characters in 'sislovesme' with 4 vowels and six consonants. It segments into four words: s, is, loves, me. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sislovesme.com

Page Load Overview

3.73s
Total Load Time
144
HTTP Requests
20
Domains
3.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,871 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software56% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
56%
documentation technical
51%
healthcare medical
39%
corporate
35%
government public service
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32104.19.233.74Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
28142.251.14.97Google · CDNUnited States
AS15169Google LLC
28104.26.8.30Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
28104.19.232.74Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
28104.26.9.30Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1445--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4C319335301303B0A0792D871466B1FF6B7522DCE52D8A1F9FC89C5A7CAD915AB29BC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:rVFRgVpqkw16/hVcnDmDf8udHeZbAnENRrSn0uzjDCAx/wLQCla5ClX:qnWjDmDfXPEkC+wMCU5CF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:125293:hymRhKBkCgQADiIdUWKqaAjg2lZCZVssDxEQiCUIYQg8ABoBMgJB8YIQwCBCQAAUGxsocBIePGpTIglBwzAJRLwEuoLEUNES

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:19193d7561310101
Perceptual Hash:8adc1dce71338633
Difference Hash:b131b9cdc5e12505
Wavelet Hash:19197f7d7d3d0101
Color Hash:#b7c587

Other Hashes

Crop Resistant:b393a1a4a0a0a0b3,b131b8ccc5e12101

Scan History

Scan history not available

Unable to load historical scan data