Security Scan Report: sylacaugaal.gov

Submitted: Oct 22, 2025, 7:01:22 AMCompleted: Oct 22, 2025, 7:02:10 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is sylacaugaal.gov.

Submitted URL: http://sylacaugaal.gov/

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

Site employs URL spoofing and lacks reputation – high‑risk phishing page.

Risk Factors
URL manipulation (spoofed address) – strong phishing indicator
Unranked domain with no reputation
New or unknown domain age
Error page could be used to lure users into believing a legitimate block
Domain age information unavailable

Details

Page Title

sylacaugaal.gov

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

government public service

(75%)

Domain Information

Domain 'sylacaugaal.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Count 11 characters in 'sylacaugaal' split between five vowels and 6 consonants. It segments into five words: syl, ac, aug, a, al. Median word length comes out to 2 characters. 'ac' is most common in Hungarian usage. Usage also turns up in Galician and Portuguese contexts.

Screenshot

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

Page Load Overview

13.97s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
HTML Lang Attribute:en
Text Length:170 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service75% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
75%
adult content
62%
healthcare medical
61%
technology software
55%
news media journalism
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.77.207.12Sylacauga, Alabama, United States
AS399918SYLUTIL
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172047F77329A063D86558498E057430D9F20B143B50AC9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:MfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIszC2bMy8Oldi:vhoC9J395CbZgLtSL3gcrsG2eA0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183556:iSWAtOSywwMIFYmEAwAAKunERogAABhAWQABJcArSCoSJgUAYRZEGQlyxokcbHgsSxwdRQ6BSAELIW1DBYcFECoSiQcCJVRC

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:ffc7c7f3ffffffff
Perceptual Hash:e4319b9acc6c3333
Difference Hash:001c0c0600000000
Wavelet Hash:ffdfc7f300000000
Color Hash:#b679d2

Other Hashes

Crop Resistant:001c0c0600000000

Scan History

Scan history not available

Unable to load historical scan data