Security Scan Report: www.thesfnews.com

Submitted: Nov 14, 2025, 6:32:36 AMCompleted: Nov 14, 2025, 6:33:51 AMpubliccompleted
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Summary

This website contacted 25 IPs in 0 countries across 9 domains to perform 119 HTTP transactions. The main domain is thesfnews.com and was registered NaN years ago.

Submitted URL: https://www.thesfnews.com/sf-mayor-lurie-chose-beya-alcaraz-to-represent-district-4/98043

AI Security Verdict

Moderate Risk

Confidence: 78%

6
Risk Score

Site contains a suspicious login form likely used for credential harvesting.

Risk Factors
Credential harvesting form (email/password) presented to visitors
Low reputation domain (unranked in Cisco Umbrella) hosting a login form
Safety Factors
Domain age is 19 years (well‑established)
No malicious Indicators of Compromise matches found
No noindex meta tags or hidden password fields
Domain age information unavailable

Details

Page Title

SF Mayor Lurie Chose 'Beya' Alcaraz To Represent District 4 - San Francisco News

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(50%)

Domain Information

Domain 'www.thesfnews.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'thesfnews' spans 9 characters containing 2 vowels alongside seven consonants. Segmentation suggests three words: the, sf, news. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.thesfnews.com/sf-mayor-lurie-chose-beya-alcaraz-to-represent-district-4/98043

Page Load Overview

17.01s
Total Load Time
119
HTTP Requests
9
Domains
3.3 MB
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-US
Text Length:3,208 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
social_media
35%
forum
35%
travel tourism
35%
education learning
29%

Detected Features

Login Form
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23157.240.0.35UnknownUnknown
4216.239.34.36UnknownUnknown
4185.111.111.154UnknownUnknown
4142.250.185.168UnknownUnknown
4142.250.186.174UnknownUnknown
4142.250.186.163UnknownUnknown
4216.58.206.42UnknownUnknown
4103.72.78.65UnknownUnknown
4216.58.212.131UnknownUnknown
4142.250.186.67UnknownUnknown
11925--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148A3B8B2487C74BF425256C4B468B61CBA92410BCF05DEE5B7FDC64CABC1EB254B622C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:TY48nakvSkGkuzkjFirf4q60fP6apUCpMq5z1vcwIQQmmfwiaq+2AikhV8kJRm42:c0R9VGGf4q60fPJpgx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100567:gMZkQIeRaSSCAAqREmhSCocyQgKJKiWBIg4HjACwGIACFCaAUdAELMiIEkIQijAUcYUEBg4oWBuPzIDOIZNpRGEUNmxILRUW

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data