ScanMalware.com

Security Scan Report: gov.availweb.net

Redirected to: https://gov.availweb.net/avail/

Submitted: Jan 23, 2026, 10:59:08 PMCompleted: Jan 23, 2026, 11:00:41 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is gov.availweb.net and was registered NaN years ago.

Submitted URL: https://gov.availweb.net

Effective URL: https://gov.availweb.net/avail/Redirected

The Cisco Umbrella rank of the primary domain is #399,046 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

Site contains a hidden password field and login form; moderate risk of credential harvesting.

Risk Factors
Hidden password field that could be used for credential harvesting
Login form present on a non‑official domain
Safety Factors
Domain is over 9 years old
No malicious Indicators of Compromise matches
No JavaScript malware detected
No external domains or payment fields
Domain ranking within top 1 M (though low)
Domain age information unavailable

Details

Page Title

AVaiL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(50%)

Domain Information

The domain name 'gov.availweb.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'gov'. The registrable portion 'availweb' spans 8 characters holding four vowels versus four consonants. It segments into two words: avail, web. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gov.availweb.net

Page Load Overview

4.98s
Total Load Time
15
HTTP Requests
3
Domains
243 KB
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:176 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
50%
adult content
33%
documentation technical
30%
healthcare medical
26%
government public service
26%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.58.212.136United States
AS15169GOOGLE
796.127.106.209Boardman, Oregon, United States
AS8987Amazon Data Services Ireland Ltd
152--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T185A1534140F84C520241D0917BE1A6192ED9C313C502BE087BFC5BDC2FE7E978D9B25E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:3ftpTPXfx+7Hn/GpOGO//AKYZGJ2SadAPbTGdYTQgR9AETWb:Ptxh8Gpko5APb7V9AETs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4818:ABpSAkFIoEjwAASCQARKCABAgiCBAIgkGCJKAgAAIxCDQAIBJAABACgBkQgAISAAkdCAAJJAMAF0tASAhAAB4ACIBIEAlAAA

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:0000001818000018
Perceptual Hash:99666699d8663399
Difference Hash:00004c32b2482030
Wavelet Hash:94f3615a7b4a4a39
Color Hash:#4040bf

Other Hashes

Crop Resistant:c2b2a0ca8aa0b082,00004c32b2482030

Scan History

Scan history not available

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