Security Scan Report: appdocs.com

Submitted: Apr 3, 2026, 10:55:42 PMCompleted: Apr 3, 2026, 10:57:28 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is appdocs.com and was registered NaN years ago.

Submitted URL: https://appdocs.com

The Cisco Umbrella rank of the primary domain is #243,035 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Well‑established domain (registered since 2008)
No forms, password fields, or payment fields present
No malicious Indicators of Compromise matches
No JavaScript malware detected
No network IDS alerts or suspicious redirects
Domain age information unavailable

Details

Page Title

File Manager

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'appdocs.com' uses the commercial generic top-level domain (.com) with no subdomain. The registrable portion 'appdocs' spans 7 characters with 2 vowels and five consonants. Word splitting yields 2 words: app, docs. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appdocs.com

Page Load Overview

1.33s
Total Load Time
3
HTTP Requests
2
Domains
36 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:12 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
374.118.181.25United States
AS46309ValorC3 Data Centers
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4F0D468014C610F6F35E2D4EAE277945D82809FD582899CE991307E445636ADC225FC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hnMQbwuOaxqrYfVIXbxWHGyespWjcH2X7eWpTj:hMiksqWG3s4SmLdj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:8a95e3fa950f459567395444c3c2c617

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:3f3fffffffffffff
Perceptual Hash:87070707070ffef8
Difference Hash:c0c0000000000000
Wavelet Hash:0000c0c000000000
Color Hash:#b740bf

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data