Security Scan Report: signin.stopfuelpoverty.com

Submitted: Jan 27, 2026, 7:51:22 PMCompleted: Jan 27, 2026, 7:53:05 PMpubliccompleted
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Summary

This website contacted 14 IPs in 1 country across 15 domains to perform 145 HTTP transactions. The main domain is signin.stopfuelpoverty.com and was registered NaN years ago.

Submitted URL: https://signin.stopfuelpoverty.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain
No login or payment forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

VERIVOX | Tarife vergleichen & stressfrei sparen!

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'signin.stopfuelpoverty.com' uses the commercial generic top-level domain (.com), featuring subdomain 'signin'. The core label 'stopfuelpoverty' covers 15 characters containing 5 vowels alongside 10 consonants. Tokenizing the label suggests 3 words: stop, fuel, poverty. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://signin.stopfuelpoverty.com/

Page Load Overview

0.44s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
262.201.164.114Germany
020.250.198.32Germany
034.120.28.121Germany
035.190.14.188Germany
0185.111.111.154Germany
034.95.108.180Germany
035.201.111.240Germany
0104.19.210.54Germany
0104.19.209.54Germany
035.241.3.184Germany
214--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14DC43BA2E1E0107BA723CBCA76507B1BB555F243EA2646D1F1EE8B848FC3C62175364D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:PQuan9UI1U4GVWfc+6y0yPjnNzq8/QuUWFG3bkx/fu8TYE3NgllYTjH3RE8G5:PQuan9n6Wfc+6y0yPjnZGMGgmllCj72

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:582443:llcCgZMAj4gGIEw5iEAoIYHByhAAZhBIIMgTRDYDQ4DxoEgFg2ooFNk4CIE0CQiIJJELYIoJNCw/BCO3Aw41hWCQIgAFCFCG

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:0000383c3818e581
Perceptual Hash:cb67343c99908dcd
Difference Hash:694f637173738d09
Wavelet Hash:0100393d3819ffff
Color Hash:#6ccae0

Scan History

Scan history not available

Unable to load historical scan data