ScanMalware.com

Security Scan Report: v2.cograder.com

Redirected to: https://v2.cograder.com/app

Submitted: Jan 23, 2026, 8:29:12 PMCompleted: Jan 23, 2026, 8:30:45 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 53 HTTP transactions. The main domain is v2.cograder.com and was registered NaN years ago.

Submitted URL: https://v2.cograder.com

Effective URL: https://v2.cograder.com/appRedirected

The Cisco Umbrella rank of the primary domain is #454,516 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Established domain age
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Meta tags consistent with legitimate service
Domain age information unavailable

Details

Page Title

CoGrader | Quality AI Feedback on Writing

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(37%)

Domain Information

The domain name 'v2.cograder.com' uses the commercial generic top-level domain (.com) and includes subdomain 'v2'. The core label 'cograder' covers 8 characters with 3 vowels and five consonants. Tokenizing the label suggests two words: co, grader. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://v2.cograder.com

Page Load Overview

4.88s
Total Load Time
79
HTTP Requests
17
Domains
1.7 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:146 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software37% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
37%
education learning
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16216.24.57.7United States
AS397273RENDER
7157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
7142.250.185.74Germany
AS32934
7104.18.34.146United States
AS13335CLOUDFLARENET
7216.58.212.136United States
AS15169GOOGLE
7146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7142.251.168.84United States
AS15169GOOGLE
735.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
7216.24.57.251United States
AS397273RENDER
7910--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15A630A14E5F561379B2705AF632AFAACE5629D435A05DA9DF5BA0010AFCCEFB7843003

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:D713firmHjwRykhcDv7k/BXJaX0eEiR8MG2jUj0fsJj0355tkh03qhZYQkCtSWOJ:VGmDG0Dk/BXJaX0eEs8Yjb7lnqtG2zC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:68146:iuCAQFGRLFEYGBmZAhAMEVIIAUkSQEMVp2KUIkCCeAknz6WOEmEYXiCEQrZLAonRgCH0oIdAZhCBAYEiQkiiEDW2UxQYkIIk

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:0080808080ffffff
Perceptual Hash:fa7e8181608781ff
Difference Hash:8101212121c0c0c0
Wavelet Hash:41808080c0ffffff
Color Hash:#1f6d93

Other Hashes

Crop Resistant:8101212121c0c0c0

Scan History

Scan history not available

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