Security Scan Report: spam01.islamabad.se

Redirected to:
https://spam01.islamabad.se/cgi-mod/mark.cgi
Site favicon
Submitted: Oct 1, 2026, 10:34:28 PMCompleted: Oct 1, 2026, 10:35:07 PMpubliccompleted

This website contacted 6 IPs in 2 countries across 5 domains to perform 9 HTTP transactions. The main domain is spam01.islamabad.se and was registered 18 years ago.

Submitted URL: https://spam01.islamabad.se:443/cgi-mod/mark.cgi

Effective URL:

https://spam01.islamabad.se/cgi-mod/mark.cgi
Redirected

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Long-registered (13-year-old) domain showing a plain parking placeholder with a whois contact; no forms, no impersonation, and no threat-intel, YARA, or IDS hits. Nothing malicious observed.

Safety Factors (5)
Established domain (13 years old)
No credential or payment forms present
No Indicators of Compromise, YARA, IDS, or Safe Browsing hits
No cross-origin credential exfiltration
Parked placeholder page with no interactive or transactional content
Domain age information unavailable

Details

Page Title

spam01.islamabad.se - Parked

Scan Type

public

Domain Name Analysis

You're looking at domain 'spam01.islamabad.se:443' on the Swedish country-code top-level domain (.se); it also runs on subdomain 'spam01'. The registrable portion 'islamabad' spans 9 characters holding four vowels versus five consonants. Breaking it apart gives one word: islamabad. Expect 9 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://spam01.islamabad.se:443/cgi-mod/mark.cgi

Page Load Overview

0.51s
Total Load Time
230 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:82 chars
Detector Agreement:67%

Website Classification

Primary Category

news media journalism58% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
58%
government public service
56%
cryptocurrency blockchain
53%
technology software
51%
adult content
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4178.63.16.224Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13222D82EB172C575FC224D7937DDB2257726A01BC5A9CEA9F9CD2210CFC22B816C1319

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:oh18jIDBSJqhti7mEtLTeyL3sSOpFpB4OtztLYM03KGLOOpTFQJjQk0:o78jCsie9tLnsSOfpBJMWQk0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10649:kG0wABUZRBgGWBIBGBuAAgkggBEEEBCDvsiLhAJwEE8ArHIyEBJICSFk8AWeBCoDwGASXEAa17HTJCAgGAm8qjAIBBA0AAMy

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:00003c2424180000
Perceptual Hash:b323cccc3333cccc
Difference Hash:0000206828300000
Wavelet Hash:30303c243c3c3c3c
Color Hash:#40bf51

Other Hashes

Crop Resistant:0000206828300000

Scan History

Scan history not available

Unable to load historical scan data