Security Scan Report: toll-collect.de

Submitted: Feb 13, 2026, 8:09:31 PMCompleted: Feb 13, 2026, 8:11:03 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 toll-collect.de.

Submitted URL: https://toll-collect.de

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site is down; unknown age and unranked domain give moderate risk; avoid providing credentials.

Risk Factors
Domain age unknown
Unranked domain
Brand name present on a domain with unknown age
Safety Factors
No malicious Indicators of Compromise matches
No forms detected
No external domains linked
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

toll-collect.de

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Domain 'toll-collect.de' uses the German country-code top-level domain (.de) without a subdomain. Its registrable label 'toll-collect' stretches across 12 characters holding three vowels versus eight consonants, along with one hyphen. Segmentation suggests two words: toll, collect. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://toll-collect.de

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:741 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
63%
adult content
51%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1193.158.50.26Frankfurt (Oder), Brandenburg, Germany
AS3320Deutsche Telekom AG
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:afQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszM2bMy8Oldg:hhoC9JSqzzbs6o3Sj3gcrs42eAW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184466:ApAJrGMJkEByOLQCAJWL17wSxClMBKAoACgQSgKRaQCWoBAI0ABQiwTCqgrEBNJQYCTOlAABLgYAA9ZDUiCBpFBoAQAmH6I4

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:3f1f030f00000000
Color Hash:#2d4486

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data