Security Scan Report: pelzersc.gov

Site favicon
Submitted: Dec 10, 2025, 7:56:02 AMCompleted: Dec 10, 2025, 7:56:21 AMpubliccompleted
Loading additional data...

Summary

This website contacted 31 IPs in 2 countries across 9 domains to perform 66 HTTP transactions. The main domain is pelzersc.gov and was registered NaN years ago.

Submitted URL: https://pelzersc.gov/

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Site impersonates Chase on a .gov domain; high risk phishing.

Risk Factors
Brand impersonation/typosquatting on an unrelated .gov domain
Domain is unranked in Cisco Umbrella despite claiming a major brand
Mismatched domain purpose (government TLD vs. banking brand)
Domain age information unavailable

Details

Page Title

Town of PelzerServices Portal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'pelzersc.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The core label 'pelzersc' covers 8 characters with 2 vowels and 6 consonants. Splitting it apart reveals three words: p, elze, rsc. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pelzersc.gov/

Page Load Overview

4.82s
Total Load Time
66
HTTP Requests
9
Domains
1.7 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:1,991 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.198.23.205Council Bluffs, Iowa, United States
AS396982GOOGLE-CLOUD-PLATFORM
2151.101.129.229San Francisco, California, United States
AS54113FASTLY
2104.16.79.6United States
AS13335CLOUDFLARENET
2172.67.135.7United States
AS13335CLOUDFLARENET
2205.234.175.175United States
AS30081CACHENETWORKS
2188.114.96.3United States
AS13335CLOUDFLARENET
2188.114.97.3United States
AS13335CLOUDFLARENET
2146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113FASTLY
254.149.35.221Boardman, Oregon, United States
AS16509AMAZON-02
2151.101.193.229San Francisco, California, United States
AS54113FASTLY
6631--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17113A334A1F0163A21C382E2BA70BB3EAE95D647E613904972BCD6D15F87DD2CD131AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SH5S5bxBzC/fpxhSPA3DY4EtOkaoDZdAkyYG4y5P7uC1ammm+8mvm+xm/m+FxL72:8UlRKhSPwDYt+mdKriCx/kZt1CLRC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45111:JYAaUoqIABQGKMSQATC5AAiAYFcQIbYvFohJaQZyxQLCDggIGN4UBFICAnDITJSIgUsMFQlIDEsENCQQCUApDBSIIQtgHgEY

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:002c00ffffffdbff
Perceptual Hash:901212e9ed6d6d6d
Difference Hash:d9dcdc2216163323
Wavelet Hash:000000fffbfb81ff
Color Hash:#ac5397

Scan History

Scan history not available

Unable to load historical scan data