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Security Scan Report: sendlayer.com

Redirected to: https://sendlayer.com/aup/

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Submitted: Feb 23, 2026, 1:17:12 PMCompleted: Feb 23, 2026, 1:18:28 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 85 HTTP transactions. The main domain is sendlayer.com and was registered NaN years ago.

Submitted URL: https://sendlayer.com/blog/getting-started-with-front-customer-service-platform/

Effective URL: https://sendlayer.com/aup/Redirected

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate policy page with no security concerns.

Safety Factors
Established domain (>10 years)
Consistent branding with domain
No forms or data collection
No malicious Indicators of Compromise
No JavaScript malware or suspicious scripts
Domain age information unavailable

Details

Page Title

Getting Started With Front Customer Service Platform

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(81%)

Domain Information

You're looking at domain 'sendlayer.com' on the commercial generic top-level domain (.com) and has no subdomain. Count 9 characters in 'sendlayer' containing 3 vowels alongside 6 consonants. Splitting it apart reveals two words: send, layer. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sendlayer.com/blog/getting-started-with-front-customer-service-platform/

Page Load Overview

9.83s
Total Load Time
72
HTTP Requests
13
Domains
973 KB
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-US
Text Length:7,489 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical81% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
81%
phishing scam
78%
government public service
77%
technology software
60%
social media network
51%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
12142.251.141.99United States
AS15169Google LLC
12172.67.70.46United States
AS13335Cloudflare, Inc.
12142.251.141.136United States
AS15169Google LLC
12185.111.111.156Unknown
AS16625
12142.251.37.10United States
AS15169Google LLC
726--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11954E9A352C988EA2B2747454416F60CF0168027EB4D92D5F2A791CCE2CCB67E1B77DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:hrVxX4c88lKfD4erzc5hIn2gvP+IypH/hAO+iRbpZk60qmmxaUs02CpC18:xVxX4c88qts5W+Ia/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:288494:WLAXQShcLIQAgDHJ/FAaKosCCIGqAAIsD5ApMGhkoFAaAgoEEPMlFwhCWfHIAA6EYCQoh5PBQLFhDoJAMFgISaBpkhmhdF5W

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:00fbf9fb8f8f8f3f
Perceptual Hash:b96d0732166e473c
Difference Hash:dc3333333c3e3cfc
Wavelet Hash:00d1f1f1878f073f
Color Hash:#87bdc5

Other Hashes

Crop Resistant:dc3333333c3e3cfc,0111a4d4d4841101,606868f4b0f0dcd4,242324240425da9a

Scan History

Scan history not available

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