Security Scan Report: did.li

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

Submitted: Dec 10, 2025, 3:31:57 AMCompleted: Dec 10, 2025, 3:32:29 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/dI9aa

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

AI Security Verdict

Safe Website

Confidence: 70%

0
Risk Score

No evident threats; appears to be a benign redirect page.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
Simple redirect without content
Domain age information unavailable

Details

Page Title

Redirect

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'did.li' on the .li country-code top-level domain without a subdomain. Count 3 characters in 'did' with one vowel and two consonants. Tokenizing the label suggests one word: did. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://did.li/dI9aa

Page Load Overview

4.71s
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
065.9.175.110United States
AS16509AMAZON-02
065.9.175.60United States
AS16509AMAZON-02
065.9.175.39United States
AS16509AMAZON-02
065.9.175.114United 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

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