Security Scan Report: ssa.datafactory.la

Submitted: Aug 30, 2026, 1:20:35 AMCompleted: Aug 30, 2026, 1:22:21 AMpubliccompleted

Summary

This website contacted 3 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is ssa.datafactory.la and was registered 16 years ago.

Submitted URL: https://ssa.datafactory.la

The Cisco Umbrella rank of the primary domain is #317,496 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No malicious signals detected; site appears legitimate.

Safety Factors
Old, well‑established domain
No malicious content or behavior observed
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'ssa.datafactory.la' uses the Laotian country-code top-level domain (.la) and includes subdomain 'ssa'. The second-level label 'datafactory' is 11 characters long split between 4 vowels and 7 consonants. Tokenizing the label suggests 2 words: data, factory. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of ssa.datafactory.la

Page Load Overview

0.56s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:20 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
2144.217.87.201Beauharnois, Quebec, Canada
AS16276OVH SAS
0144.217.86.61Beauharnois, Quebec, Canada
AS16276OVH SAS
0144.217.86.131Beauharnois, Quebec, Canada
AS16276OVH SAS
23--

Page Statistics

2
Requests
1
Unique Domains
0.2 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T189C080B6C470451755722ADDCD83E65C4FC5F60DA4264D41B5C9F4A4CAD7D57C4033C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6i5FHW4b1tK2AjS8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B96pe1tz2NdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:009e2ccb8884e40274acf3f677112ec3

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:00ffffffffffffff
Perceptual Hash:810103030f7f7f7f
Difference Hash:8000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#bf9940

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data