Security Scan Report: sfqproject-m38.onrender.com

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is onrender.com and was registered 11 years ago.

Submitted URL: https://sfqproject-m38.onrender.com/c/f1afe22b83?state=Iw0fwfMchd1ECL1CP60mw39u7OFYAwSlvKPNAyo4Ok-_P-nOpnBBZwWDACv7PXsmKDnV20BeQKuwvlFwe-3FzNUTzsXbxbfRXMuWY8BYcri47kQJCpNfvg

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Fake Microsoft verification page on an onrender.com subdomain that captures MFA/device-code responses via a copy-and-paste 'Complete MFA' flow and hidden fields posted to /submit-data. Brand impersonation phishing.

Risk Factors (4)
Impersonation of Microsoft's brand on a non-Microsoft domain
Authentication-code (MFA/device-code) collection via copy-and-paste flow
Hidden telemetry fields harvested to an operator-controlled endpoint
Anonymous, unranked shared-hosting subdomain with unknown age
Domain age information unavailable

Details

Page Title

Let's prove you're human

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'sfqproject-m38.onrender.com' is registered, featuring subdomain 'sfqproject-m38'. Its registrable label 'onrender' stretches across 8 characters with three vowels and 5 consonants. Segmentation suggests 2 words: on, render. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sfqproject-m38.onrender.com/c/f1afe22b83?state=Iw0fwfMchd1ECL1CP60mw39u7OFYAwSlvKPNAyo4Ok-_P-nOpnBBZwWDACv7PXsmKDnV20BeQKuwvlFwe-3FzNUTzsXbxbfRXMuWY8BYcri47kQJCpNfvg

Page Load Overview

3.72s
Total Load Time
50 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:550 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software47% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
47%
corporate business
42%
government public service
38%
documentation technical
37%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.24.57.18United States
AS397273Render
3216.24.57.16United States
AS397273Render
72--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193A37C66A6A302217103C768778B7745B728F00BA385CE7C7A9C72944FCE9D889637D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TcGeTqr4BPIInktAzfLYx5Aeq5nvRM7bX2AgwFdyocfLYx5Aeq5QDQZB/bAvsuW6:TcGgjjfLchqBZ6bI+kocfLchq2mpbM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:98693:k7BIR4qjEDuQBCSAANCA5NcUVZQCCOIKAAAwJ8mA0hAVOlXBgMSeIyQUIKDQUGBBmwIsdsAJgBYgwKwERSN+IIhKgzEECM2/

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:001839273f3f3737
Perceptual Hash:875974d873727388
Difference Hash:88f2eaebebe2e6e6
Wavelet Hash:00182b2b3f3f3737
Color Hash:N/A

Other Hashes

Crop Resistant:88f2eaebebe2e6e6

Scan History

Scan history not available

Unable to load historical scan data