Security Scan Report: fwspublicservices.wim.usgs.gov

Redirected to:
https://www.fws.gov/program/national-wetlands-inventory/wetlands-mappe...
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Submitted: Jul 9, 2026, 9:31:03 AMCompleted: Jul 9, 2026, 9:32:34 AMpubliccompleted
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Summary

This website contacted 19 IPs in 2 countries across 18 domains to perform 61 HTTP transactions. The main domain is fws.gov and was registered NaN years ago.

Submitted URL: https://fwspublicservices.wim.usgs.gov

Effective URL: https://www.fws.gov/program/national-wetlands-inventory/wetlands-mapperRedirected

The Cisco Umbrella rank of the primary domain is #34,765 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate U.S. government page with no malicious indicators.

Safety Factors
Established government domain
Valid HTTPS connection
Page type is article (og:type=article)
Physical address and official branding present
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

Wetlands Mapper | U.S. Fish & Wildlife Service

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(92%)

Domain Information

You're looking at domain 'fwspublicservices.wim.usgs.gov' on the United States government-restricted top-level domain (.gov), featuring subdomain 'fwspublicservices.wim'. The core label 'usgs' covers 4 characters containing 1 vowel alongside three consonants. Breaking it apart gives 1 word: usgs. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fwspublicservices.wim.usgs.gov

Page Load Overview

4.75s
Total Load Time
61
HTTP Requests
18
Domains
5.9 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:7,051 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
92%
government public service
74%
government
48%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7152.61.141.72United States
AS5663Department of Interior United States Geological Survey
3142.251.127.97Google · CDNUnited States
AS15169Google LLC
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
323.222.80.199Hamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
323.52.180.163Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
323.50.131.147Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.50.131.155Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32.16.164.88Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
33.31.208.7Aws · CLOUDBoardman, Oregon, United States
AS8987Amazon Data Services Ireland Ltd
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6119--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144844E64ABECA82D244F64A67346FD42EB658101EE83CE65BEBD735DCFCA5C030D5620

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4cIEKhKMVQNKNmOp3ou53W1myuwm4YGumYNoNmeA7w7Wrk9IdQzrTcL8BZhc58dm:4TKdMCtiQamcIfO9YhwYD/hhwJxYA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:389595:RwgyRLwJvQdMA8AAAIAckEnERYgwABAQwYYBygQeYATMJoR2BJ0RCCDRDgUsKEAEUASKTi4kIMwQZIgwE3YPGAaAgQUAOWCj

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:ffc0000000ffffff
Perceptual Hash:dc43f5bc01a9dc61
Difference Hash:6084f1f8cc3b3e98
Wavelet Hash:ff00000000ffffff
Color Hash:#d279c3

Other Hashes

Scan History

Scan history not available

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