ScanMalware.com

Security Scan Report: carfaxforclaims.com

Redirected to:
https://www.carfax.eu/de
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Submitted: Jul 23, 2026, 7:35:21 PMCompleted: Jul 23, 2026, 7:36:18 PMpubliccompleted

Summary

This website contacted 4 IPs in 2 countries across 15 domains to perform 2 HTTP transactions. The main domain is carfax.eu.

Submitted URL: https://carfaxforclaims.com

Effective URL: https://www.carfax.eu/deRedirected

The Cisco Umbrella rank of the primary domain is #770,194 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

The site impersonates the CARFAX brand on a low‑ranked, unrelated domain without collecting credentials, indicating a high‑risk phishing page.

Risk Factors
Brand impersonation on a low‑ranked domain
Domain‑brand mismatch
Low Cisco Umbrella ranking for a claimed major brand
Safety Factors
Domain age 11+ years (well‑established)
No malicious JavaScript or YARA matches
No network IDS alerts or IoC hits
No credential or payment collection forms
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 7 to 3
Domain age information unavailable

Details

Page Title

CARFAX Gebrauchtwagencheck | CARFAX

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

documentation technical

(85%)

Domain Information

The domain name 'carfaxforclaims.com' uses the commercial generic top-level domain (.com). The core label 'carfaxforclaims' covers 15 characters containing five vowels alongside 10 consonants. Splitting it apart reveals 4 words: car, fax, for, claims. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of 684dd32b.akstat.io

Page Load Overview

4.03s
Total Load Time
76
HTTP Requests
15
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:7,859 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical85% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
85%
corporate
35%
government public service
34%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
192.16.204.75Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
192.16.204.92Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
19216.117.25.19United States
AS62CyrusOne LLC
1913.33.187.102Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
764--

Page Statistics

76
Requests
7
Unique Domains
1.2 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1399407976850971F9A938758FD22BA897111A50FFD63C8CCF29C8B741BCEBA24C4463D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7ir72YF31pdQsSYnpWCVdso7CdgaXunz9JAK0j9xdwExlZB/e5XCVUUzMSt659NZ:7kQ9mxZ0j9xdLaOQrbW3HKtyOjyjkjV9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:414388:GJIwEAXIAEIJReSBBIoEQIdU6C6iyoQQsEAmsDGAhBeCDRogAYJKUwQHOoKAgphwjC6MpRnSQREkYGILkAGQFIqIgQhRCaqO

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:c0c0c0c0c0c0c0c0
Perceptual Hash:f8f813f207ecc80b
Difference Hash:939993979317171d
Wavelet Hash:cbc1c1c1c1f3c3c7
Color Hash:#d2a379

Other Hashes

Crop Resistant:7a425a3830007273,2e2e2e2e2e2e2e2e,8668c604244ccc7a,0020147071240000

Scan History

Scan history not available

Unable to load historical scan data