Security Scan Report: tlsfingerprint.io

Site favicon
Submitted: Oct 2, 2026, 1:23:26 PMCompleted: Oct 2, 2026, 1:24:01 PMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Long-established academic research site (CU Boulder TLS/QUIC fingerprint observatory). No forms, no credential or payment collection, no malware or threat-intel hits. Unranked status is not a risk signal here.

Safety Factors (5)
Established domain (8+ years old)
No credential, login or payment forms present
Content is transparent academic research with named authors, institution and open-source tooling
No third-party scripts; no cross-origin data flows
Clean threat intelligence, YARA, kit-roster and IDS results
Domain age information unavailable

Details

Page Title

Fingerprint Observatory

Scan Type

public

Domain Name Analysis

Domain 'tlsfingerprint.io' uses the British Indian Ocean Territory country-code top-level domain (.io). Its registrable label 'tlsfingerprint' stretches across 14 characters holding 3 vowels versus eleven consonants. Tokenizing the label suggests two words: tls, fingerprint. Median word length is 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tlsfingerprint.io/

Page Load Overview

1.24s
Total Load Time
726 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,983 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
cryptocurrency blockchain
54%
documentation technical
35%
government public service
30%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1552.91.211.163Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
151--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF527435B3C015BF53D74BBAB601BB3C619EDBAFD753E8A4F67982944388D449B02680

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KK4vHsOgEg3FMqmOWjfph5oZ4EzM3/+hShHBHIC5J066hDe:KTHsOgEg3FMqmhjxhSZjzM3/+hShHBH9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14094:gAA4RHSgwayAykLhKHAFKACsAkJoATgggE4YXAxZnEJrEFBwE5YoXDAMFGRIkWAA4Ei5DuAA0QABMIjsEAPNgRHFwtDgDtoA

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:f73d191800303c00
Perceptual Hash:8adcf3e664d26438
Difference Hash:4d313171616169c1
Wavelet Hash:ff3d1939013d3d01
Color Hash:#2d5886

Other Hashes

Crop Resistant:4d313171636169c1

Scan History

Scan history not available

Unable to load historical scan data