Security Scan Report: news.smol.ai

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Submitted: Dec 22, 2025, 3:59:55 AMCompleted: Dec 22, 2025, 3:59:57 AMpubliccompleted

Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is news.smol.ai and was registered NaN years ago.

Submitted URL: https://news.smol.ai/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
No credential or payment fields
No malicious Indicators of Compromise
No suspicious redirects or external domains
Domain age information unavailable

Details

Page Title

AINews | AINews

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

The domain 'news.smol.ai' uses the Anguillan country-code top-level domain (.ai) with subdomain 'news'. Count 4 characters in 'smol' containing 1 vowel alongside 3 consonants. It segments into 2 words: s, mol. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://news.smol.ai/

Page Load Overview

1.03s
Total Load Time
0
HTTP Requests
0
Domains
N/A
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:38,133 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
76%
education learning
40%
documentation technical
38%
entertainment media
30%
government public service
27%

Detected Features

OG: website

Page Statistics

0
Requests
0
Unique Domains
0.0 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B740D31B2A01A7945DF87BBF7D24FE5326D9748CB83A6C1B268C2B4076CD649F27610

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:msWjkKQq/kb9qt6V/bVLu3bqtnQnRSXGQXqf9GCR4w4b4Ntkp3Rp9oshWf59b2kx:sGhpLu3bAQbxcfp/xIdJnauae92tTS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:353109:MC6BCZoTjywgs2gwEIiFCAyWgxkgDU0iiJFkhKARFoKsQEUIFE2PCLIsggJBgKAUSqTQIgCS6kgaAwMlJRKacDHVSQAUA5FY

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:7fff1f3fff0707ff
Perceptual Hash:8f8fe0f0c0170f8f
Difference Hash:c462696d994d6db3
Wavelet Hash:30fe1f1f0707070f
Color Hash:#bf9b40

Scan History

Scan history not available

Unable to load historical scan data