Security Scan Report: russellvillear.gov

Submitted: Oct 12, 2025, 8:28:34 PMCompleted: Oct 12, 2025, 8:29:44 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is russellvillear.gov and was registered NaN years ago.

Submitted URL: http://russellvillear.gov/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

High‑risk phishing site impersonating Microsoft; confirmed scam.

Risk Factors
Brand impersonation (Microsoft) on an unusual .gov domain
Circular redirect indicating possible URL manipulation
Newly registered domain (<90 days) increasing suspicion
Unranked domain in Cisco Umbrella while claiming a major brand
Domain age information unavailable

Details

Page Title

russellvillear.gov

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

government

(95%)

Domain Information

The domain name 'russellvillear.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The core label 'russellvillear' covers 14 characters split between 5 vowels and nine consonants. Word splitting yields 2 words: russellville, ar. Median word length is 7 characters. The linguistic tilt is Breton for 'ar'. You may catch it in Latvian and Lithuanian as well. Taken together, it feels Breton.

Screenshot

Security scan screenshot of http://russellvillear.gov/

Page Load Overview

19.06s
Total Load Time
5
HTTP Requests
1
Domains
99 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:18 chars
Detector Agreement:0%

Website Classification

Primary Category

government95% confidence
Type: static
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5208.90.189.241United States
AS393775IPP-AS
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A101FE7800469D4DD3E3A73420F1AB95AA82538796CB8E9CF0D1702BD69478AA5733C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hnM9iuXI9qvy4Wh96QclfVI6qBHVM/xkSESvq1vXqsXf5ekL8GrDPOb0lIjo2APM:hM0mIAvy4WvsqTUxBOBRekwGrTd2Ak

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:703:AAAAAEQAAAAQgAAAAAAQAAgAAAAAAAAAAAgAAAAAAAAAAAAAAAAECAAAAQAAAAAAAAAAAIAABAAAAACAAAAAIAABAAAAAQAA

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:3838141c18000000
Perceptual Hash:cccee7c199302667
Difference Hash:626225b152240000
Wavelet Hash:3c3c341c3f0f0303
Color Hash:#e07f6c

Scan History

Scan history not available

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