Security Scan Report: ifs.lazada.sg

Submitted: Jan 24, 2026, 3:45:04 PMCompleted: Jan 24, 2026, 3:47:05 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is ifs.lazada.sg and was registered NaN years ago.

Submitted URL: https://ifs.lazada.sg

The Cisco Umbrella rank of the primary domain is #14,202 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment forms
Hosted on standard infrastructure
Cisco Umbrella ranking indicates reputable site
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(69% confidence)

Category

healthcare medical

(57%)

Domain Information

Within the Singaporean country-code top-level domain (.sg), 'ifs.lazada.sg' is registered, featuring subdomain 'ifs'. The second-level label 'lazada' is 6 characters long split between 3 vowels and three consonants. Segmentation suggests 3 words: l, azad, a. The median word length lands at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ifs.lazada.sg

Page Load Overview

6.01s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:69%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:69%
Script Type:Latin
Text Length:63 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical57% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
57%
government public service
54%
news media journalism
53%
finance banking
48%
documentation technical
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
247.246.165.227Singapore
AS45102Alibaba US Technology Co., Ltd.
21--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B2D012EE5CF5054618107A501D8133D01D0D416F2047095535B9D15CDF6C3645A8B2C5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVIZxQXbZ6U//4sH5dH/F/7AhthH/jTiFzGiFL0XQFFRbluLzJLybvvoz:haxO96JqcBcGiFgg/GLlLyLQz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:f8ced8213f41737a2f726a8542e9e9c6

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:3f00ffffffffffff
Perceptual Hash:8101010183ffffff
Difference Hash:c040000000000000
Wavelet Hash:3f00fcfc00000000
Color Hash:#5e2dd2

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

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