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Security Scan Report: www.siliconvalleyacs.org

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/0c9837bb-ed8b-4214-9dc9-37d1252056ebDomain and IP registration (RDAP)/api/v1/rdap/0c9837bb-ed8b-4214-9dc9-37d1252056ebHow often this domain was scanned/api/v1/domain/stats/siliconvalleyacs.orgScan history for this domain/api/v1/domain/history/siliconvalleyacs.org?limit=15
This website contacted 6 IPs in 1 country across 7 domains to perform 77 HTTP transactions. The main domain is siliconvalleyacs.org and was registered 5 years ago.

Submitted URL: https://www.siliconvalleyacs.org/event/who-will-win-the-chemnobel-predicting-the-2026-nobel-laureates-in-chemistry/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate ACS Silicon Valley local section event page. No forms, no threat intel, established domain, self-branded. Safe to use.

Safety Factors (4)
Established domain (over 5 years old)
No credential or payment forms present
No malicious JavaScript or network indicators
Legitimate organizational content with verifiable ACS affiliation
Domain age information unavailable

Details

Page Title

Who Will Win the #ChemNobel? Predicting the 2026 Nobel Laureate(s) in Chemistry – SVACS

Scan Type

public

Domain Name Analysis

Domain 'www.siliconvalleyacs.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. Count 16 characters in 'siliconvalleyacs' holding six vowels versus 10 consonants. Tokenizing the label suggests 3 words: silicon, valley, acs. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.siliconvalleyacs.org/event/who-will-win-the-chemnobel-predicting-the-2026-nobel-laureates-in-chemistry/

Page Load Overview

3.97s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:3,191 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
Products
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17162.241.24.191Phoenix, Arizona, United States
AS31898Oracle Corporation
12142.251.110.95Google · CDNUnited States
AS15169Google LLC
12192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
12192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
12192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
12142.251.110.94Google · CDNUnited States
AS15169Google LLC
776--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T188B32873E1840077274B079D6252B37CA7BEA599EF046EB4B1F4762C4BC5FE600A364A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:nGriVans4q1yPd75ep2ux5RGFNBC5gTV8qVNEAc75ce7R7:nS5q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109694:5KICMg4ZAohoRCKGQeU4UI4ACmh0jCGMroIgLXwcEnGhplDCeCQDAIJgkZADAIJMa4EDEUyTQslFFGDcYgUZkZgUDBPOXZCM

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:ffffdfdf878787ff
Perceptual Hash:b6c9c936c98936c9
Difference Hash:2e083c342d2d2d16
Wavelet Hash:c3c6869f87878783
Color Hash:#2d866a

Other Hashes

Crop Resistant:2e083c342d2d2d16,6c6bdbdcf7fffe67,330202300c800004

Scan History

Scan history not available

Unable to load historical scan data