Security Scan Report: manilastandard.net

Submitted: Oct 14, 2025, 12:19:11 PMCompleted: Oct 14, 2025, 12:20:42 PMpubliccompleted
Loading additional data...

Summary

This website contacted 60 IPs in 5 countries across 19 domains to perform 101 HTTP transactions. The main domain is manilastandard.net and was registered NaN years ago.

Submitted URL: https://manilastandard.net/sports/314655009/czech-qualifier-tereza-valentova-stuns-eala-in-japan-open-first-round.html

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High risk due to credential‑harvesting login form on an unranked domain.

Risk Factors
Credential harvesting login form on a low‑reputation domain
Unranked domain increases suspicion of typosquatting or impersonation
Presence of password field without clear legitimate purpose
Domain age information unavailable

Details

Page Title

Czech qualifier Tereza Valentová stuns Eala in Japan Open first round - Manila Standard

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(94%)

Domain Information

The domain name 'manilastandard.net' uses the network infrastructure generic top-level domain (.net). The core label 'manilastandard' covers 14 characters split between five vowels and 9 consonants. Segmentation suggests two words: manila, standard. Median word length is 7 characters. The linguistic tilt is English for 'manila'. Usage also turns up in Chinese (Pinyin) and Danish contexts.

Screenshot

Security scan screenshot of https://manilastandard.net/sports/314655009/czech-qualifier-tereza-valentova-stuns-eala-in-japan-open-first-round.html

Page Load Overview

28.01s
Total Load Time
101
HTTP Requests
19
Domains
2.2 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:53,802 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business94% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
94%
real estate property
76%
documentation technical
56%
entertainment media
54%
news media journalism
54%

Detected Features

Login Form
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4252.76.27.57Singapore, Singapore
AS16509AMAZON-02
113.214.68.134Singapore, Singapore
AS16509AMAZON-02
1142.250.185.97United States
AS15169GOOGLE
1142.250.185.202United States
AS15169GOOGLE
1142.250.185.226United States
AS15169GOOGLE
1142.250.186.130United States
AS15169GOOGLE
165.9.66.43United States
AS16509AMAZON-02
1104.16.175.226United States
AS13335CLOUDFLARENET
1192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
1142.250.186.98United States
AS15169GOOGLE
10160--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEB493B1A804253F423B51C4E65DD71A73C3620EEA960850D3F98B6CCBD5F74A93E2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:18+lFIFPlwRpbFYKfxmKCE3A4Hj8GZViVt3Bc46hi7nMxg:18+H0NwRpBYKfxmKCE3A4TZUH3BcmMxg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500220:Y9FKECEtCfBGHkhWAgAAo0AekNxDhgUHJAIXEAQoQeAKOCAIooAAUFCuiFEqLSQBAjhAIXUWlR2ilSBCUgJBiDyQJCQAxG6J

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:24003cb9b9998080
Perceptual Hash:9cc136cbc9b4ccc9
Difference Hash:c92b313333332f2d
Wavelet Hash:ed81fd99b9998181
Color Hash:#53ac8d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data