Security Scan Report: firstsales.io

Submitted: Apr 20, 2026, 11:25:26 AMCompleted: Apr 20, 2026, 11:27:15 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is firstsales.io and was registered NaN years ago.

Submitted URL: https://firstsales.io/brand-review/anthropic/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational article about Anthropic; no phishing, malware, or scam activity detected.

Safety Factors
Old, well‑established domain
Self‑branding matches domain (firstsales.io)
No suspicious external links or redirects
No IDS or network alerts
Domain age information unavailable

Details

Page Title

Anthropic Review: Features, Pricing, Pros & Cons | AI Tools

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(88%)

Domain Information

The domain name 'firstsales.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and has no subdomain. The core label 'firstsales' covers 10 characters containing 3 vowels alongside seven consonants. Segmentation suggests 2 words: first, sales. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://firstsales.io/brand-review/anthropic/

Page Load Overview

15.43s
Total Load Time
67
HTTP Requests
11
Domains
478 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:27,673 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software88% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
88%
corporate
35%
news/blog
20%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6765.1.195.0Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
671--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149C01277D460051A51335ADC9D82A6495EC5B21995314E81B9D0B49489DAD5AC903684

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iLyOGAWCwkS8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B96zuWHkNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:2b4553f70fafb2110e710acbe28e50cc

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:00ffffffffffffff
Perceptual Hash:87070707070f1f7f
Difference Hash:8000000000000000
Wavelet Hash:00ff0f0ff0f0f0f0
Color Hash:#bf5340

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data