Security Scan Report: helps.live

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Submitted: Jan 5, 2026, 10:31:06 AMCompleted: Jan 5, 2026, 10:32:27 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 26 HTTP transactions. The main domain is helps.live and was registered NaN years ago.

Submitted URL: https://helps.live

The Cisco Umbrella rank of the primary domain is #565,556 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Site hosts a hidden password field without a username field, indicating credential harvesting; classify as high‑risk phishing.

Risk Factors
Hidden password field
Password field without accompanying username/email field
Low Cisco Umbrella ranking indicating poor reputation
Domain age information unavailable

Details

Page Title

ZENAVA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'helps.live' uses the .live top-level domain without a subdomain. Its registrable label 'helps' stretches across 5 characters with one vowel and 4 consonants. It segments into 1 word: helps. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://helps.live

Page Load Overview

6.16s
Total Load Time
10
HTTP Requests
4
Domains
1 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:466 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.157.126.197Frankfurt am Main, Hesse, Germany
AS132203Tencent Building, Kejizhongyi Avenue
543.157.126.15Frankfurt am Main, Hesse, Germany
AS132203Tencent Building, Kejizhongyi Avenue
102--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16ED1357ED4C6100CF177A8111DE4AAA91C364CE2E712D5BABF853776C3861CA253F749

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T1vwjFA9fcXpbr5qOowiTUYeC8NQDSpckNkak3kpkRkv7:5Ijy9fcXprdiQPfN597

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6542:olBABICttOAqBSYAAmKEBGIQoABEAUAAkBAQQsiAUgIBFwBAAASgoAJhLISIoOCXIgkgFRAmlwGggAgAmyFRdRoMACQGDAjE

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:ffcfcfcfc3cfcfff
Perceptual Hash:b8b1c7ccc7933864
Difference Hash:60189c999e9e1840
Wavelet Hash:feccc4ccc0ccc0fc
Color Hash:#53a5ac

Scan History

Scan history not available

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