Security Scan Report: mm.aftenposten.no

Redirected to: https://mm.aftenposten.no/oktalogin/

Submitted: Mar 11, 2026, 5:14:13 AMCompleted: Mar 11, 2026, 5:15:36 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is mm.aftenposten.no and was registered NaN years ago.

Submitted URL: https://mm.aftenposten.no

Effective URL: https://mm.aftenposten.no/oktalogin/Redirected

The Cisco Umbrella rank of the primary domain is #258,910 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate internal Okta login page for Aftenposten; no malicious activity detected.

Safety Factors
Well‑established domain
Brand subdomain of a known newspaper
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript or network‑level malicious activity
Domain age information unavailable

Details

Page Title

AP Verktøykasse | Okta

Scan Type

public

Language

🇺🇸

English

(21% confidence)

Category

unknown

(0%)

Domain Information

Within the Norwegian country-code top-level domain (.no), 'mm.aftenposten.no' is registered; it also runs on subdomain 'mm'. Its registrable label 'aftenposten' stretches across 11 characters split between four vowels and seven consonants. Splitting it apart reveals 1 word: aftenposten. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mm.aftenposten.no

Page Load Overview

1.04s
Total Load Time
5
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:21%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:21%
Script Type:Latin
Text Length:257 chars
Detector Agreement:33%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
318.244.18.70United States
AS16509Amazon.com, Inc.
2104.18.11.207United States
52--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E316162A6F5B1A3230285CD24E6A2187FD1664BC389D886F8BC51EC0FC5F9B8C57C85

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:gUOq19VUr/uINV4wtIofxe4TjbbQiLK45gsemmM019yCaSQ:ur/uutIGe4H4iLpu719PaL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1526:ABAAACAYAgAAAAAAAJQYAAAAAAABAAAAAAAAAABABAAEAEQCAAAAUACAAQAABAAAAAIAQmIACAAgAAAAMAAAAMAAAAAAMQAB

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:0f0fffffffffffff
Perceptual Hash:8307070707c7e7e7
Difference Hash:f0f0000000000000
Wavelet Hash:3000f0f0f0f0f0f0
Color Hash:#6ce0b5

Other Hashes

Crop Resistant:f0f0000000000000

Scan History

Scan history not available

Unable to load historical scan data