Security Scan Report: appboy-images.com

Submitted: Feb 27, 2026, 12:43:48 AMCompleted: Feb 27, 2026, 12:45:30 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 appboy-images.com and was registered NaN years ago.

Submitted URL: https://appboy-images.com

The Cisco Umbrella rank of the primary domain is #18,608 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain (>10 years)
High Cisco Umbrella ranking
Absence of forms or credential collection
No malicious Indicators of Compromise
No detected malware or suspicious network activity
Domain age information unavailable

Details

Page Title

appboy-images.com

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

documentation technical

(37%)

Domain Information

The domain name 'appboy-images.com' uses the commercial generic top-level domain (.com) and has no subdomain. Its registrable label 'appboy-images' stretches across 13 characters holding five vowels versus seven consonants; bonus characters include one hyphen. Segmentation suggests 3 words: app, boy, images. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appboy-images.com

Page Load Overview

0.59s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:456 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical37% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
37%
healthcare medical
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.17.51.4United States
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszA2bMy8Oldc:VhoC9JSqzzbs6o3Sj3gcrss2eAq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184476:QUmEQzEDI2BCRgNJlIBDDQInAYOknKgORYQoAWLAYYITQJAyVUGQQE4BMIOnDICIAjCOYE4VACKSCYdyRkbQhIYDs2AhBh5k

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:ffcfc7c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#c5879e

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data