Security Scan Report: animefiraa.com

Submitted: Mar 20, 2026, 2:38:06 PMCompleted: Mar 20, 2026, 2:39:32 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 42 HTTP transactions. The main domain is animefiraa.com and was registered NaN years ago.

Submitted URL: https://animefiraa.com/anime/jojo-no-kimyou-na-bouken-tv

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

New anime guide site with no malicious signs; low risk but monitor due to brand‑new domain.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Page declared as an article (og:type=article)
Uses well‑known third‑party services (Google, Supabase) for assets
Domain age information unavailable

Details

Page Title

JoJo no Kimyou na Bouken (TV) (JoJo's Bizarre Adventure (2012)) - フィラーなしガイドと視聴順 2026

Scan Type

public

Language

🇺🇸

English

(61% confidence)

Category

entertainment media

(87%)

Domain Information

The domain name 'animefiraa.com' uses the commercial generic top-level domain (.com). The core label 'animefiraa' covers 10 characters split between 6 vowels and 4 consonants. Tokenizing the label suggests three words: anime, fira, a. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://animefiraa.com/anime/jojo-no-kimyou-na-bouken-tv

Page Load Overview

4.70s
Total Load Time
56
HTTP Requests
10
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:61%
Script Type:Latin
HTML Lang Attribute:es
Text Length:61,872 chars
Detector Agreement:60%
Language mismatch: Declared as es but detected as en

Website Classification

Primary Category

entertainment media87% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
87%
government public service
42%
adult content
39%
news media journalism
36%
education learning
32%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
82.16.168.105Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8142.251.208.163Germany
8142.251.37.2Germany
8188.114.97.3Germany
8142.250.186.40GermanyUnknown
8172.64.149.246United States
AS13335Cloudflare, Inc.
8216.198.79.1United States
AS16509Amazon.com, Inc.
567--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E304F978A2D0413F398386BFB1DABD58A55DD787EA4796BCF56CD04426E7DE00E83220

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:iUqzfg+LMeAs5IdNYNTtGc3PhOB7ZaG5kX5+Mfenh2/YMs1N+yHN:KzxOB7ZaG5kX5+Mfenh2/YMs1N+yHN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:177382:QBBEgB7GTaqE0mpBQdAyJwcTRYE2JQAGc8mAMTSBQYiwCAMCwAqA2BhxmKADwQxo0TBWIEySYIAAyAQxjItUCeXTg6KoZEgv

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:bf00203fffffffff
Perceptual Hash:8f0f60e0b09fbde0
Difference Hash:6b69617a5068c03a
Wavelet Hash:2000001f7f3fff8f
Color Hash:#8796c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data