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Security Scan Report: firststreet.org

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Submitted: Dec 11, 2025, 9:14:22 AMCompleted: Dec 11, 2025, 9:16:38 AMpubliccompleted
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Summary

This website contacted 108 IPs in 3 countries across 24 domains to perform 186 HTTP transactions. The main domain is firststreet.org and was registered NaN years ago.

Submitted URL: https://firststreet.org/county/whatcom-county-wa/53073_fsid/flood

The Cisco Umbrella rank of the primary domain is #264,820 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Low ranking does not indicate malicious activity for this known service
Content aligns with legitimate climate risk reporting
Domain age information unavailable

Details

Page Title

Whatcom County, WA Flood Map and Climate Risk Report | First Street

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(27%)

Domain Information

Domain 'firststreet.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. Its registrable label 'firststreet' stretches across 11 characters holding 3 vowels versus eight consonants. Tokenizing the label suggests two words: first, street. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://firststreet.org/county/whatcom-county-wa/53073_fsid/flood

Page Load Overview

16.68s
Total Load Time
186
HTTP Requests
24
Domains
866 KB
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:16,303 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network27% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
27%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7954.201.113.204Boardman, Oregon, United States
AS16509AMAZON-02
1104.18.40.240United States
AS13335CLOUDFLARENET
1104.17.175.201United States
AS13335CLOUDFLARENET
1104.17.128.172United States
AS13335CLOUDFLARENET
1104.17.92.187United States
AS13335CLOUDFLARENET
113.226.244.89United States
AS16509AMAZON-02
1142.250.186.136United States
AS15169GOOGLE
198.94.198.143Ashburn, Virginia, United States
AS14618AMAZON-AES
12.20.142.98Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.251.156.119United States
AS15169GOOGLE
186108--

Detected Technologies3

Linkedin Ads
40%
HSTS
40%
HubSpot CMS
15%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151F3B630F195213F0717CAF47255F71B91D642CACA424598D2AA83342FC6C5ABEBE2B3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WfxwH9PmB4fLh6fe1QUgDuK9osF4KT5LjE93GsK:WfxwH9Pm+fLh6fe1QUgDuK9osF4KT5L3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:167720:IAPQJrVgFQgKwyITCQAKF6AQEFMICCDtxgiQiFqEGVJAaKGg1hN3IFAgsmAMhIAhIGNgFBBiClAGoE1owAoABK5llAoIBahm

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:00ffffffffff0000
Perceptual Hash:85d644f55a25da95
Difference Hash:e46bc0ec4057d6f1
Wavelet Hash:00ff7fffff010000
Color Hash:#a4e06c

Other Hashes

Crop Resistant:e46bc0ec4057d6f1,a2aab2ccccb282a2,916165e5e5651101,56d6d6d0d625f2f2

Scan History

Scan history not available

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