Security Scan Report: autodiscover.saccounty.gov

Submitted: Apr 1, 2026, 6:35:48 PMCompleted: Apr 1, 2026, 6:37:33 PMpubliccompleted
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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 autodiscover.saccounty.gov and was registered NaN years ago.

Submitted URL: https://autodiscover.saccounty.gov

The Cisco Umbrella rank of the primary domain is #239,296 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

autodiscover.saccounty.gov

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

cryptocurrency blockchain

(76%)

Domain Information

The domain 'autodiscover.saccounty.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'autodiscover'. Count 9 characters in 'saccounty' holding three vowels versus 6 consonants. Word splitting yields two words: sac, county. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://autodiscover.saccounty.gov

Page Load Overview

0.27s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:563 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain76% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
76%
technology software
71%
news media journalism
67%
adult content
60%
healthcare medical
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.98.239.152Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T100048F77329A063986558498E05B830D9F21B143F506C9BC79BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszb2bMy8OldO:ThoC9JSqzzbs6o3Sj3gcrs/2eAs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187220:uxOBQBQHAlVUAMkCQFnNEOQggGpciYIODkjkQQlAGCCFCIgiiIZAQhcJDjgZUGJ2AKAjUB2s+ngsggUICAQCiIjaJQHyiizK

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:f0d0c0c0c0fcfcfc
Color Hash:#ac7a53

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data