Security Scan Report: www.fanverse.org

Submitted: Oct 26, 2025, 10:32:32 AMCompleted: Oct 26, 2025, 10:34:26 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 5 domains to perform 29 HTTP transactions. The main domain is fanverse.org and was registered NaN years ago.

Submitted URL: https://www.fanverse.org/threads/tea-app-breach-exposes-72-000-selfies-id-photos-and-other-user-images.1352275/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
No credential collection
No malicious Indicators of Compromise
Standard forum verification mechanism
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Verification - Tea App Breach Exposes 72,000 Selfies, ID Photos and Other User Images | FanVerse

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

other

(35%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.fanverse.org' is registered and includes subdomain 'www'. The second-level label 'fanverse' is 8 characters long containing 3 vowels alongside 5 consonants. Breaking it apart gives 2 words: fan, verse. Expect 4 characters per word on average. 'fan' is most common in Esperanto usage. Secondary signals appear in Swedish and Galician. Overall, 'www.fanverse.org' reads as Esperanto.

Screenshot

Security scan screenshot of https://www.fanverse.org/threads/tea-app-breach-exposes-72-000-selfies-id-photos-and-other-user-images.1352275/

Page Load Overview

71.82s
Total Load Time
29
HTTP Requests
5
Domains
213 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:957 chars
Detector Agreement:100%

Website Classification

Primary Category

other35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

other
35%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11213.239.221.230Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
9104.19.230.21United States
AS13335CLOUDFLARENET
9104.19.229.21United States
AS13335CLOUDFLARENET
293--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4D2A380614C1C77426723CAF029BB8AE27FBFB0E56924D5F5FB06781FD9C60660E852

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ttaEOMXVSJt9dFOmjOc3lw7tB/cFMmf7w8Xc:cMQnFOmjOc3QE2mf7w8Xc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28966:hRuHsEQaQAHwAwiwCAMuKGmBLEFkQw4WYhcsXAgCwQNBBSCiFEIHVAggmxBOAgD5AKAijZGCPcJ/BikJdgES4DYSEFBCSkjS

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:0000c3ffffffff00
Perceptual Hash:f56840c3139e2cfb
Difference Hash:94973bdc5a224ad4
Wavelet Hash:000080feeefeff00
Color Hash:#e06ce0

Scan History

Scan history not available

Unable to load historical scan data