Security Scan Report: did.li

Redirected to: https://did.li/secure/

Submitted: Dec 10, 2025, 4:04:20 AMCompleted: Dec 10, 2025, 4:05:00 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is did.li.

Submitted URL: https://did.li/-mizrahitefahot-com

Effective URL: https://did.li/secure/Redirected

AI Security Verdict

Low Risk

Confidence: 70%

3
Risk Score

Unranked redirect page with no malicious indicators; low risk but monitor for abuse.

Risk Factors
Unranked domain with unknown registration age
Redirect page that requires user interaction
Safety Factors
No forms collecting passwords, emails, or payment data
No external domains or third‑party links present
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Redirect

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

unknown

(0%)

Domain Information

Domain 'did.li' uses the .li country-code top-level domain. Its registrable label 'did' stretches across 3 characters holding 1 vowel versus two consonants. It segments into one word: did. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://did.li/-mizrahitefahot-com

Page Load Overview

6.95s
Total Load Time
3
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
Text Length:42 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
365.9.175.60United States
AS16509AMAZON-02
065.9.175.114United States
AS16509AMAZON-02
065.9.175.39United States
AS16509AMAZON-02
065.9.175.110United States
AS16509AMAZON-02
34--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13F31228599E309523503902C57ABA3163262E903C54DCE387EDDA3D4CF8A3599AE738C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kRwCTfvF3Rqcb+lyUiVudDlaq81AyAvFw6P3Fm7QuyJffwxDGFf/Bswdydaj:Q96lIkn8OyAdwEEvyJwxDGF5UMj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1807:AAggIAACQAAEAABIEAARAKACAAAABAQAACAAAACCgAAgAKAAQFAAAgQABIAIAAACACAgAAQAAAAQAGAAAIAACAAAkAAAMgAA

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:ffffffe7e7ffffff
Perceptual Hash:e69c9963668c9933
Difference Hash:0000100808100800
Wavelet Hash:f0f0f0e0e0f0f0f0
Color Hash:#ac5397

Other Hashes

Crop Resistant:0000100808100800

Scan History

Scan history not available

Unable to load historical scan data