Security Scan Report: files.readme.io

Submitted: Apr 4, 2026, 7:46:04 AMCompleted: Apr 4, 2026, 7:47:49 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is files.readme.io and was registered NaN years ago.

Submitted URL: https://files.readme.io

The Cisco Umbrella rank of the primary domain is #72,816 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: Error page title: 'Image Not Found' with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Image Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'files.readme.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'files'. The second-level label 'readme' is 6 characters long holding 3 vowels versus 3 consonants. Splitting it apart reveals 1 word: readme. Median word length is 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://files.readme.io

Page Load Overview

0.70s
Total Load Time
6
HTTP Requests
3
Domains
386 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
Text Length:46 chars
Detector Agreement:100%

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
2104.18.168.110United States
AS13335Cloudflare, Inc.
2142.251.127.97United States
AS15169Google LLC
2142.251.150.119United StatesUnknown
63--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1852165CE6E17A909944661A0577AF15C3967B003BD97DD923FC1124DEF007CA4EC598C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRiFcP03HjAuOIGQR/RXgaTlAUgSc9i4P3FpF9SjVhYP2Vj:TeK03HVXNUJ9JPv1Pe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1305:QAAAAAAAAAAgAQAQAACAQAAAQBBAAAEBAAAEIAAgAAARgAgkAAAAAAEEAAAEAAAAQAAAAgAAAIAAAAAAAAAAAAIAIAABAAEA

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:ffe7e7e7e7ffffff
Perceptual Hash:b333cccc3333cc64
Difference Hash:080c4d4d0d040800
Wavelet Hash:00c7272727370f0f
Color Hash:#8bd22d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data