ScanMalware.com

Security Scan Report: portswigger.net

Submitted: Nov 4, 2025, 10:04:27 AMCompleted: Nov 4, 2025, 10:05:38 AMpubliccompleted
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Summary

This website contacted 22 IPs in 2 countries across 7 domains to perform 44 HTTP transactions. The main domain is portswigger.net and was registered NaN years ago.

Submitted URL: https://portswigger.net/daily-swig/philippines

AI Security Verdict

Safe Website

Confidence: 96%

1
Risk Score

Legitimate cybersecurity news site with no security concerns.

Safety Factors
Well‑established domain with long registration history
No suspicious forms or data collection
No known malicious Indicators of Compromise
Content is typical of a reputable cybersecurity news outlet
No red‑flag URL manipulation or redirects
Domain age information unavailable

Details

Page Title

Latest cybersecurity news from the Philippines | The Daily Swig

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

You're looking at domain 'portswigger.net' on the network infrastructure generic top-level domain (.net) and has no subdomain. The second-level label 'portswigger' is 11 characters long holding 3 vowels versus 8 consonants. It segments into three words: port, swig, ger. Median word length is four characters. 'port' most often appears in English. Usage also turns up in Chinese (Pinyin) and Icelandic contexts.

Screenshot

Security scan screenshot of https://portswigger.net/daily-swig/philippines

Page Load Overview

9.46s
Total Load Time
44
HTTP Requests
7
Domains
907 KB
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:4,290 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.226.244.104United States
AS16509AMAZON-02
220.79.214.157Frankfurt am Main, Hesse, Germany
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2150.171.23.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
22.18.64.212Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.181.232United States
AS15169GOOGLE
218.213.70.141Ashburn, Virginia, United States
AS14618AMAZON-AES
298.83.252.235Ashburn, Virginia, United States
AS14618AMAZON-AES
213.226.244.8United States
AS16509AMAZON-02
213.226.244.82United States
AS16509AMAZON-02
213.226.244.13United States
AS16509AMAZON-02
4422--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FCF2E735D9E5007B51E3C2C8B639A22AFBA6D047E2104E8C72EC6398DFF9DC1A817449

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:tISoY5QcXVly1Qe0fawdSqF+h6+aidnAxiLNQXRvDX3lDWt:tISoZ4sL0h7sh6+aidnAxiLNQXRvDX3m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36415:IAADbWaCIBgQRBC0AIiQiAAIqAQQAiASJgZgYgHDJKAEASvQ8hBJAASCUCA4G0gkEmQUTxwgV0AATtDNLEQ0IIogIAgRSJEB

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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