Security Scan Report: online.sfassessor.org

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Submitted: Oct 9, 2025, 8:48:57 AMCompleted: Oct 9, 2025, 8:50:09 AMpubliccompleted
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Summary

This website contacted 35 IPs in 1 country across 6 domains to perform 87 HTTP transactions. The main domain is online.sfassessor.org and was registered NaN years ago.

Submitted URL: https://online.sfassessor.org/s/property/a1Jcs00000CuL37EAF/3092-073-470472-monterey-blvd-san-francisco-ca-941272414

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Domain age of over 15 years (well established)
Official government content (San Francisco Assessor-Recorder)
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Property: 3092 073 @ 470-472 MONTEREY BLVD SAN FRANCISCO, CA 94127-2414

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

real estate property

(96%)

Domain Information

The domain name 'online.sfassessor.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'online'. Its registrable label 'sfassessor' stretches across 10 characters with three vowels and seven consonants. Splitting it apart reveals two words: sf, assessor. Median word length comes out to five characters. The linguistic tilt is Chinese (Pinyin) for 'sf'. Usage also turns up in Romanian and Catalan contexts. Net impression: Chinese (Pinyin) phrase.

Screenshot

Security scan screenshot of https://online.sfassessor.org/s/property/a1Jcs00000CuL37EAF/3092-073-470472-monterey-blvd-san-francisco-ca-941272414

Page Load Overview

35.12s
Total Load Time
87
HTTP Requests
6
Domains
641 KB
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
HTML Lang Attribute:en-US
Text Length:1,058 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
96%
government public service
43%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19142.250.74.202United States
AS15169GOOGLE
2216.58.206.42United States
AS15169GOOGLE
2142.250.186.74United States
AS15169GOOGLE
2142.250.185.234United States
AS15169GOOGLE
2182.30.27.130Columbus, Ohio, United States
AS8987Amazon Data Services Ireland Ltd
218.254.64.73Columbus, Ohio, United States
AS8987Amazon Data Services Ireland Ltd
2142.250.184.234United States
AS15169GOOGLE
2182.30.12.44Columbus, Ohio, United States
AS8987Amazon Data Services Ireland Ltd
2142.250.186.106United States
AS15169GOOGLE
2142.250.184.227United States
AS15169GOOGLE
8735--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146340927BBB5183F856351D3D4B61A962BB4CB00B0447AE4F4AE512C1BDB8D52632F3B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bnu91ZgjvolVwZVfSRNHQRo3TdA4NAzmcuKg6UVe+tzG8m/Q0vHo:y1ZgjvolVA+/3TdA4zV/6D8m/Q0A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:235931:BCuDii7EAGqWTIGMEBQAIsEAGIIoESSBEJAYCdwsEACOCNwSUROJDfUEgxVlYSggCECUcuhCSSQWBjTehQFVbIAKOUGhAEyC

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:0f00ffffffff8181
Perceptual Hash:bf913b8581bac0ec
Difference Hash:5c5a3a58f2a62b2b
Wavelet Hash:06008efefeff8181
Color Hash:#9e6ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data