Summary
This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is login.microsoftonline.com and was registered NaN years ago.
Submitted URL: http://titopendek.web.id/
Effective URL: https://login.microsoftonline.com/9bcac096-d3bb-45ce-b126-54865638b88c/oauth2/authorize?client%5Fid=00000003%2D0000%2D0ff1%2Dce00%2D000000000000&response%5Fmode=form%5Fpost&response%5Ftype=code%20id%5Ftoken&resource=00000003%2D0000%2D0ff1%2Dce00%2D000000000000&scope=openid&nonce=218C0C00C41247C6067B8FEEE020E72527642F23533538F7%2D25A2A6FF579B4EEE2F7185B0F99E044C9BF27CF15AA31EDA51A0A845A400ADC6&redirect%5Furi=https%3A%2F%2Fsigmacoid%2Esharepoint%2Ecom%2F%5Fforms%2Fdefault%2Easpx&state=OD0w&claims=%7B%22id%5Ftoken%22%3A%7B%22xms%5Fcc%22%3A%7B%22values%22%3A%5B%22CP1%22%5D%7D%7D%7D&wsucxt=1&cobrandid=11bd8083%2D87e0%2D41b5%2Dbb78%2D0bc43c8a8e8a&client%2Drequest%2Did=616bfba1%2De071%2D6000%2Dd75e%2D0f902a73d4f9&sso_reload=trueRedirected
AI Security Verdict
Confirmed Scam
Confidence: 92%
Phishing page impersonating Telkomsigma to steal Microsoft credentials.
Risk Factors
Details
Page Title
New Tab
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Within the Indonesian country-code top-level domain (.web.id), 'titopendek.web.id' is registered with no subdomain. The second-level label 'titopendek' is 10 characters long split between 4 vowels and 6 consonants. Breaking it apart gives four words: t, it, open, dek. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 22 | 103.127.99.218 | Bogor, West Java, Indonesia | AS133800PT Biznet Gio Nusantara |
| 22 | 1 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data