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Security Scan Report: claim.autoaccidentnavigator.com

Submitted: Jan 24, 2026, 10:31:32 AMCompleted: Jan 24, 2026, 10:33:11 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 11 domains to perform 39 HTTP transactions. The main domain is claim.autoaccidentnavigator.com and was registered NaN years ago.

Submitted URL: https://claim.autoaccidentnavigator.com/

AI Security Verdict

High Risk

Confidence: 85%

9
Risk Score

New site collecting passwords; likely phishing – do not provide credentials.

Risk Factors
Very new domain (<30 days)
Password fields on a newly registered domain
Unranked domain with low reputation
Credential collection form without clear legitimate purpose
Domain age information unavailable

Details

Page Title

Auto Accident Injury Claims – Free Case Review

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

government public service

(51%)

Domain Information

Within the commercial generic top-level domain (.com), 'claim.autoaccidentnavigator.com' is registered; it also runs on subdomain 'claim'. Its registrable label 'autoaccidentnavigator' stretches across 21 characters with 10 vowels and 11 consonants. Segmentation suggests 3 words: auto, accident, navigator. The median word length lands at 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://claim.autoaccidentnavigator.com/

Page Load Overview

4.15s
Total Load Time
121
HTTP Requests
42
Domains
1.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:4,834 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
51%
documentation technical
45%
forum community discussion
40%
social media network
39%
education learning
37%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
113.160.156.90United States
AS16509AMAZON-02
1154.162.196.230Ashburn, Virginia, United States
AS14618AMAZON-AES
11104.16.6.65Switzerland
AS8075
11172.217.20.136United States
AS15169GOOGLE
11142.251.208.10United States
AS15169GOOGLE
11104.18.80.204United States
AS13335CLOUDFLARENET
1113.32.99.67New York, New York, United States
AS16509AMAZON-02
11104.18.34.21United States
AS13335CLOUDFLARENET
11104.19.175.188United States
AS13335CLOUDFLARENET
113.160.150.53UnknownUnknown
12111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10ED3B7A3A6220504F47AC5D1F9D67F9E2027A30BD383CAA5E270B17CD2CFAD5A4B1745

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rR7+Igjc+EmTMoyOUHe5zUPWCeh+iry+4goUX6A7VWM5UhyH79mh:rRM7hnWM5179mh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:131134:lBA0jPEYkSwACAQOMAwCADGAABEAEHCRTosCiBBUFtGAphEQygkAzAUBhUBzCcRYHMq9CAEgEyxheGmCMRIRAqBAFCBcDABq

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:fffbfbf1c1c34040
Perceptual Hash:e0ce93b16c8e91b3
Difference Hash:ae9697c7979e9697
Wavelet Hash:fffaf9f1c1434000
Color Hash:#3a784b

Other Hashes

Crop Resistant:ae9697c7979e9697,8282828282828282,313131510160fa91,e21182d292810182,820101a280a24101

Scan History

Scan history not available

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