Security Scan Report: receiptor.ai

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Submitted: Feb 16, 2026, 5:21:27 AMCompleted: Feb 16, 2026, 5:22:59 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is receiptor.ai and was registered NaN years ago.

Submitted URL: https://receiptor.ai/guides/return-policies/costco-return-policy-complete-guide-for-hassle-free-returns

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate informational site with no detected security threats.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment forms
No detected malware
Domain age information unavailable

Details

Page Title

receiptor.ai

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

You're looking at domain 'receiptor.ai' on the Anguillan country-code top-level domain (.ai) and has no subdomain. Count 9 characters in 'receiptor' holding four vowels versus 5 consonants. Breaking it apart gives two words: receipt, or. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://receiptor.ai/guides/return-policies/costco-return-policy-complete-guide-for-hassle-free-returns

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:732 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
62%
adult content
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
176.76.21.21Walnut, California, United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3048F773296063985558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:IfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszW2bMy8OldY:DhoC9JSqzzbs6o3Sj3gcrsS2eAO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184697:llEgV/kERwAACJAAgQaVcssDUEMBGEAgEhRJDkrBAUDilDssRihEIANQw5RQeAJGugMGFBUEYAwwQK7aCQaQIRBgCQBNKuWm

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:b333cccccc632363
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c300000000
Color Hash:#40aabf

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data