ScanMalware.com

Security Scan Report: inktalks.com

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/fa2f7ac2-aa57-458f-a203-5841a9917604Domain and IP registration (RDAP)/api/v1/rdap/fa2f7ac2-aa57-458f-a203-5841a9917604How often this domain was scanned/api/v1/domain/stats/inktalks.comScan history for this domain/api/v1/domain/history/inktalks.com?limit=15
This website contacted 18 IPs in 2 countries across 11 domains to perform 56 HTTP transactions. The main domain is inktalks.com and was registered 16 years ago.

Submitted URL: https://inktalks.com/people/anand-giridhardas/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established inktalks.com speaker profile page (article type) about an author. Self-branded, no credential or payment forms, no Indicators of Compromise, YARA, IDS or malicious JS. No risk evidence found.

Safety Factors (5)
Well-established 16-year-old domain
Self-branding consistent between title, meta tags and domain
No credential or payment collection
No threat-intelligence, YARA, IDS or JavaScript behavioural hits
Article/news page type rather than a transactional page
Domain age information unavailable

Details

Page Title

Anand Giridhardas - INK Talks

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'inktalks.com' is registered and has no subdomain. Count 8 characters in 'inktalks' holding 2 vowels versus six consonants. Segmentation suggests two words: ink, talks. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://inktalks.com/people/anand-giridhardas/

Page Load Overview

2.88s
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:1,458 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network69% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
69%
news media journalism
54%
news/blog
20%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5217.21.84.65Mumbai, Maharashtra, India
AS47583Hostinger International Limited
3142.251.110.95Google · CDNUnited States
AS15169Google LLC
3104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.152.119Google · CDNUnited States
AS15169Google LLC
3192.178.183.95Google · CDNUnited States
AS15169Google LLC
3104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
3142.251.20.94Google · CDNUnited States
AS15169Google LLC
5618--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10233D733B2C80027371F87AD90A3B318E5769256DE0ADBB5B4FD215C2B819F704A756E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6FzgYQ8f91F5KmWfEeNeUzrUoeKyp/kt9Wvd6y4IEQV71lH5EJIIElzaU/Du6gdd:6FD2r+PITjUaBpku

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53766:SAjNMQHc6ENAUB3GQAWBIRmRMmkCQDMRkgx0CYpCtBCWslwqQtGWcAWQG4iKTEpgp9CAhRohGJAQmmNHEOKDpKg6ANRCigMy

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:9fffe7c3c3e7bfc3
Perceptual Hash:b19ecf0e381bc782
Difference Hash:7b2e0c96960e5316
Wavelet Hash:9d83e7c3c3c383e0
Color Hash:#412d86

Other Hashes

Crop Resistant:7b2e0c96960e5316

Scan History

Scan history not available

Unable to load historical scan data