Security Scan Report: threatview.app

Redirected to: https://threatview.app/login

Submitted: Mar 24, 2026, 1:00:39 AMCompleted: Mar 24, 2026, 1:01:18 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is threatview.app and was registered NaN years ago.

Submitted URL: https://threatview.app

Effective URL: https://threatview.app/loginRedirected

The Cisco Umbrella rank of the primary domain is #336,820 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

Legitimate login page with no suspicious activity detected.

Safety Factors
Established domain (>4 years old)
Standard HTTPS login page
No malicious Indicators of Compromise
No hidden password fields or suspicious JavaScript behavior beyond normal minification
Domain age information unavailable

Details

Page Title

Log in - ThreatView - Complete Website Security

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'threatview.app' on the application-focused generic top-level domain (.app) and has no subdomain. Count 10 characters in 'threatview' containing 4 vowels alongside 6 consonants. It segments into 2 words: threat, view. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://threatview.app

Page Load Overview

0.62s
Total Load Time
11
HTTP Requests
2
Domains
8 KB
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:332 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.154.119Germany
3116.202.222.134Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
3142.251.140.163GermanyUnknown
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E342E912B4F45C1612B346A46FE7F218AD21D057C10D5800B5EC5BD99FE8E878EA73EE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:QhTukLq0Tvkr2gUdyQO3U0mGAU8+UsNJUbOldU3D20DsJqJBAAUSupHU:Qpm0yxiv+UgJ+OliSJqJOVXU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12890:AQTgkqBAYWqiiBwIQCHAMogwWCwgAhEGOhFcEJhbKALI2Ug7YSEEiRHggQgjMHgRTI9LSg4IdgYAxiFggYIERBA4EgBCgQUU

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:ff00001800000000
Perceptual Hash:d2d0d0d0d8d8f2d7
Difference Hash:b00c0830184c0000
Wavelet Hash:ffe3e0f83c24040c
Color Hash:#933e1f

Other Hashes

Crop Resistant:b00c0830184c0000

Scan History

Scan history not available

Unable to load historical scan data