ScanMalware.com

Security Scan Report: web.webpushs.com

Redirected to:
https://web.webpushs.com/login/
Submitted: Apr 16, 2026, 1:16:21 PMCompleted: Apr 16, 2026, 1:17:56 PMpubliccompleted
Loading additional data...

Summary

This website contacted 12 IPs in 3 countries across 12 domains to perform 1 HTTP transaction. The main domain is web.webpushs.com and was registered NaN years ago.

Submitted URL: https://web.webpushs.com

Effective URL: https://web.webpushs.com/login/Redirected

The Cisco Umbrella rank of the primary domain is #102,954 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 94%

5
Risk Score

The site impersonates SendPulse, Facebook, and Google, hosts a credential‑stealing login form, and uses heavily obfuscated JavaScript, indicating a confirmed phishing scam.

Risk Factors
Brand impersonation with domain mismatch
Credential collection form
Low domain reputation ranking
Highly obfuscated JavaScript with eval()
Presence of major brand names (Facebook, Google) to deceive users
Safety Factors
Domain age > 6 years (old domain)
No malicious Indicators of Compromise detected
No JavaScript YARA malware matches
No network IDS alerts
Established domain (2283 days old) with no strong malicious indicators — risk clamped from 10 to 5
Domain age information unavailable

Details

Page Title

Anmeldung bei Ihrem SendPulse-Konto

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

social media network

(82%)

Domain Information

The domain 'web.webpushs.com' uses the commercial generic top-level domain (.com) with subdomain 'web'. The second-level label 'webpushs' is 8 characters long containing two vowels alongside six consonants. Tokenizing the label suggests three words: web, push, s. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://web.webpushs.com

Page Load Overview

3.11s
Total Load Time
85
HTTP Requests
13
Domains
1.5 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:13,122 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network82% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
82%
technology software
72%
government public service
68%
finance banking
68%
documentation technical
66%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8142.251.20.101United States
AS15169
7162.159.135.22Germany
AS54113
7142.251.13.97Poland
AS60068
7142.251.127.84United States
AS15169Google LLC
757.144.110.128Warsaw, Mazovia, Poland
AS32934Facebook, Inc.
7142.250.154.94UnknownUnknown
7216.239.38.21UnknownUnknown
779.127.211.89UnknownUnknown
7151.101.2.137UnknownUnknown
7104.17.25.14UnknownUnknown
8512--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12343D52A54E2623B1107C1E6E139762E7916C21FDB079A88F6FC8796DFD0D930CA716C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:7BeCddfXfJDzg6i8c6SsBkcwaw1M+s/HP36lQQicEV8ECJBCxZTrVrXLQiR:7gqDzg6i8fHPKlQsi8EqidrVrXLb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57829:EQHSJ95GOahZACGwVYMCkDAYCkHgFpQBKRSQRsDsFoIFEFwAEpjp1EyJOYQKSBAOhzCMBWIRpSACJA+JhRIQEIIC4CoGBSBB

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:fcf3f9e0a0e0ffff
Perceptual Hash:e69595566798521b
Difference Hash:b4664b4f6e45554a
Wavelet Hash:fcb2f9e0a0e0ade0
Color Hash:#9740bf

Other Hashes

Crop Resistant:b4664b4f6e45554a

Scan History

Scan history not available

Unable to load historical scan data