Security Scan Report: www.sfweekly.com

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Submitted: Jan 5, 2026, 2:59:50 AMCompleted: Jan 5, 2026, 3:01:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is sfweekly.com and was registered NaN years ago.

Submitted URL: https://www.sfweekly.com/lifestyles/entertainment/tracker-season-3-will-jensen-ackles-melissa-roxburgh-return-as-colter-s-siblings-in-2026/article_5efe1ff8-2ad7-516d-ab64-aa16617019b7.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Established media outlet (sfweekly.com) with >30 years of registration
Minimal risk category from domain age analysis
No suspicious redirects or external links
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(39%)

Domain Information

You're looking at domain 'www.sfweekly.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. The registrable portion 'sfweekly' spans 8 characters split between two vowels and 6 consonants. Splitting it apart reveals 2 words: sf, weekly. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.sfweekly.com/lifestyles/entertainment/tracker-season-3-will-jensen-ackles-melissa-roxburgh-return-as-colter-s-siblings-in-2026/article_5efe1ff8-2ad7-516d-ab64-aa16617019b7.html

Page Load Overview

6.46s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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
Text Length:67 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism39% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
39%
healthcare medical
38%
government public service
33%
documentation technical
29%
adult content
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1192.104.182.109United States
AS10668LEE-ASN
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5D0A7B6D0A1580D977466E8DD42BE505A14610992222EA4B5C4A1D4D848E63444365C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHoB96D3ne1k9YfV34PDdmiX4V:kxV7HdBWfV3eDDe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:22c324e89afcbcf7bc9e2b742902d535

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:7fffffffffffffff
Perceptual Hash:83030303070fffff
Difference Hash:c000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#783a66

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data