Security Scan Report: framinghamk12.instructure.com

Redirected to:
https://accounts.google.com/v3/signin/identifier?continue=https://acco...
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Submitted: Completed: publiccompleted
This website contacted 25 IPs in 1 country across 11 domains to perform 47 HTTP transactions. The main domain is instructure.com and was registered 28 years ago.

Submitted URL: https://framinghamk12.instructure.com

Effective URL:
https://accounts.google.com/v3/signin/identifier?continue=https://acco...
Redirected

The Cisco Umbrella rank of the primary domain is #994 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Canvas LMS school login (framinghamk12.instructure.com) performing a standard SAML SSO handoff to Google sign-in. No phishing, malware, impersonation or threat-intel signals; the sign-in form is the legitimate federated identity flow.

Safety Factors (4)
Legitimate SAML SSO flow between Canvas (instructure.com) and Google identity services
No credential exfiltration, no cross-origin form hijacking, no disguised or orphan password fields
Clean threat intelligence, YARA, IDS and JavaScript analysis across the board
Login is the site's own SSO gate, not impersonation of another entity's brand
Domain age information unavailable

Details

Page Title

Log in to Canvas

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'framinghamk12.instructure.com' is registered and includes subdomain 'framinghamk12'. Count 11 characters in 'instructure' containing four vowels alongside 7 consonants. It segments into two words: in, structure. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://framinghamk12.instructure.com

Page Load Overview

1.96s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:1,175 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2318.173.205.102Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13.174.46.44Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
154.221.97.250Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
116.15.212.138Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
175.2.14.209Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.127.84Google · CDNUnited States
AS15169Google LLC
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
1142.251.110.113Google · CDNUnited States
AS15169Google LLC
1142.251.14.100Google · CDNUnited States
AS15169Google LLC
4725--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124F0DD42DC05840F97202761ADD3B848D113EA4DCA15BA40B5EB10AC19E8EA3CCBB43C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRpH0hKOMRNcVGuRGY8iMZR0OL9qsKWlsVgS7Ex0OS+sxjj:hRp04NcVGIG51R0qTKWlsVgS4x0h+ej

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:649:AABAAEIAAAgAAADAAAAAAAgAAIBAAAAAAAAAAAABAAAAAAAAAAQBgCAAAAAAAAAAAAAAAAAAAAAAgACAAAAQAAAAgwEAAAAQ

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:00003c1e78380000
Perceptual Hash:ce9631699436cbc3
Difference Hash:0040603c43630400
Wavelet Hash:0c0c7e5e7b7b0303
Color Hash:#d22d88

Other Hashes

Crop Resistant:0040603c43630400

Scan History

Scan history not available

Unable to load historical scan data