Security Scan Report: tigersmlreport.com

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Submitted: Jun 23, 2026, 6:36:07 PMCompleted: Jun 23, 2026, 6:37:38 PMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 8 domains to perform 2 HTTP transactions. The main domain is tigersmlreport.com and was registered NaN years ago.

Submitted URL: https://tigersmlreport.com/2026/05/21/call-them-up-ben-malgeri-tigers/

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site looks like a legitimate article without phishing or malware forms, but high JS obfuscation and lack of reputation warrant moderate caution.

Risk Factors
High JavaScript obfuscation
Unranked domain reputation
Safety Factors
No credential or payment collection
Content appears to be a legitimate news/article
Domain age >4 years
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Call Them Up: Ben Malgeri Has Played His Way Into the Conversation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(59%)

Domain Information

Within the commercial generic top-level domain (.com), 'tigersmlreport.com' is registered without a subdomain. The core label 'tigersmlreport' covers 14 characters split between 4 vowels and ten consonants. Segmentation suggests 3 words: tigers, ml, report. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tigersmlreport.com/2026/05/21/call-them-up-ben-malgeri-tigers/

Page Load Overview

8.20s
Total Load Time
144
HTTP Requests
13
Domains
5.0 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-US
Text Length:68,594 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical59% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
59%
forum
25%
news/blog
20%
news
15%

Detected Features

Search
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1874.125.29.95United States
AS15169Google LLC
18192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
18192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
18162.144.13.43Phoenix, Arizona, United States
AS31898Oracle Corporation
18142.250.154.97United States
AS15169Google LLC
18192.178.183.156United States
AS15169Google LLC
18192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
18192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
1448--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0B48431F840293FAA3B44C4A749D70A71D6A31FF4E90410E5DA476886E9F78F52E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7MV3Wa0eQeLCOL4m753g3P+t8Um0pnUyhccwWtPZtfhVeDRH5d3hianxUerm0OsZ:7U0ELBL4EK3P+t8UPpnUo0hiLfqicX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500185:FcUTAi6hlmAxFhICgQuBdSnHESzAFJICakgdIGxmAEIByJRmJgggBIARAQQhBgEhIDIh8QKJEwmKJwYMyg6BIgwkBCMHVutS

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:00001818183c7c38
Perceptual Hash:c93c63b649d19cc9
Difference Hash:1032b2b2b2f0d0d0
Wavelet Hash:00183c3c3c7e7e7e
Color Hash:#2d3c86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data