Security Scan Report: easternusa.salvationarmy.org

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Submitted: Jun 24, 2026, 11:25:41 AMCompleted: Jun 24, 2026, 11:27:32 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 11 domains to perform 2 HTTP transactions. The main domain is easternusa.salvationarmy.org and was registered NaN years ago.

Submitted URL: https://easternusa.salvationarmy.org/northern-new-england/portland/who-we-are/

The Cisco Umbrella rank of the primary domain is #146,085 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site appears legitimate but shows moderate risk due to low ranking, redirects, and external email forms.

Risk Factors
Low domain ranking for a well‑known brand
Multiple redirects (4)
Cross‑origin email form submissions to external Wufoo service
Safety Factors
Domain matches the Salvation Army brand (self‑branding)
No credential or payment fields present
No Indicators of Compromise, YARA matches, or IDS alerts
Long‑standing domain (registered 1995)
No malicious JavaScript behavior detected
Domain age information unavailable

Details

Page Title

Who We Are - Salvation Army Portland ME

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'easternusa.salvationarmy.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'easternusa'. The registrable portion 'salvationarmy' spans 13 characters containing five vowels alongside 8 consonants. Splitting it apart reveals 2 words: salvation, army. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://easternusa.salvationarmy.org/northern-new-england/portland/who-we-are/

Page Load Overview

14.21s
Total Load Time
297
HTTP Requests
95
Domains
6.3 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
Text Length:7,017 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2752.217.136.200Ashburn, Virginia, United States
AS16509Amazon.com, Inc.
27173.236.240.63United States
AS26347New Dream Network, LLC
27142.251.152.119United States
AS15169Google LLC
27151.101.65.155United States
AS54113Fastly, Inc.
2754.174.246.56Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
27184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2713.226.244.9United States
AS16509Amazon.com, Inc.
27104.17.24.14United States
AS13335Cloudflare, Inc.
27185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
27104.20.32.142United States
AS13335Cloudflare, Inc.
29711--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14BE33A42A9B31573054718F4E115B70AD266827BCB0388D0F6FCE469AFD7EA50B27B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VW7gi3qgywGRjsfiwkwDijAudJszxEU+g4ETS3YNq33NrjiEx6c2lOr+z5oWc:c7gi3qgPfilJ0uH8iiEx6c2lOyz5od

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:143337:yiFGARAEUQlVS4ZIAuQFpgSMANpIAGFMAwCGICpjIeWEApIm0mYyTKUQiCmWIJlQTmWnbOCSFhTHHQAgSoADipQMkQDQggwJ

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:ff001820000018ff
Perceptual Hash:ca26a541f35a9c9d
Difference Hash:cce731c9d17171ab
Wavelet Hash:ff209878781818ff
Color Hash:#6f931f

Scan History

Scan history not available

Unable to load historical scan data