Security Scan Report: uns.id

Redirected to: https://www.teacherspayteachers.com/?apps

Submitted: Jan 20, 2026, 1:08:59 PMCompleted: Jan 20, 2026, 1:10:38 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 32 HTTP transactions. The main domain is teacherspayteachers.com and was registered NaN years ago.

Submitted URL: https://uns.id/4v0v

Effective URL: https://www.teacherspayteachers.com/?appsRedirected

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Redirect leads to the legitimate Teachers Pay Teachers site; no security concerns detected.

Safety Factors
Well‑established domain age (>20 years)
Final destination is a reputable, top‑ranked website
No credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Redirects ultimately lead to a legitimate brand
Domain age information unavailable

Details

Page Title

988 Lifeline - If you need emotional support, reach out to the national mental health hotline: 988.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(62%)

Domain Information

You're looking at domain 'uns.id' on the Indonesian country-code top-level domain (.id). Count 3 characters in 'uns' holding one vowel versus 2 consonants. Tokenizing the label suggests one word: uns. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uns.id/4v0v

Page Load Overview

6.96s
Total Load Time
141
HTTP Requests
23
Domains
1.5 MB
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:9,091 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning62% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
62%
corporate
35%

Detected Features

Search
Products
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15103.23.225.70Indonesia
AS55684Universitas Sebelas Maret
14216.58.206.67United States
142.19.126.198Indonesia
14172.67.73.127Unknown
14142.250.186.170Unknown
14172.67.74.176Unknown
14104.18.124.73Unknown
14184.24.77.146Unknown
1450.6.250.173United States
AS31898ORACLE-BMC-31898
14142.251.208.8United States
AS15169GOOGLE
14110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B648210B0BE0F6D23F3497AB7D5E500316AD541D0A82ADDF2BB955E05CB36A4EA270F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:1+t0LvuL1aH4zQBmy+108vgLUan47QhmtYSkdRl/EevLH0E3S:1+t0LvuL1aH4zQBmy+108vgLUan47QhK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:331024:NVBAhcACCgcUKKSqqI4FoGIAIKhyIExKEiCMJQAMoEiGm2mg2HBaCNhNQwSScAAVAAwUGgCg2mqwiCiBFRYKrAhIl8QNSU7h

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:ffffffffff140000
Perceptual Hash:a6f94f96790c1863
Difference Hash:b0080e0616e4e445
Wavelet Hash:18ffffffe7000000
Color Hash:#3a931f

Scan History

Scan history not available

Unable to load historical scan data