Security Scan Report: eu-us.consentmanager.net

Redirected to:
https://app.consentmanager.net/login.php
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 26 HTTP transactions. The main domain is consentmanager.net and was registered 8 years ago.

Submitted URL: https://eu-us.consentmanager.net

Effective URL:
https://app.consentmanager.net/login.php
Redirected

The Cisco Umbrella rank of the primary domain is #7,676 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate login page for consentmanager.net. Domain is well-established and highly ranked, with a normal same-service SSO flow and no threat-intelligence, malware, or phishing indicators.

Safety Factors (5)
Domain is about 8 years old and classified as well-established.
Domain ranks in the Cisco Umbrella top 10K.
Cross-origin form submission is a legitimate same-service SSO flow to app.consentmanager.net.
No suspicious JavaScript behavior, IoC matches, hunting-rule hits, IDS alerts, or credential exfiltration detected.
Login form includes expected security features such as CSRF token and two-factor code field.
Domain age information unavailable

Details

Page Title

Login

Scan Type

public

Domain Name Analysis

You're looking at domain 'eu-us.consentmanager.net' on the network infrastructure generic top-level domain (.net) and includes subdomain 'eu-us'. The registrable portion 'consentmanager' spans 14 characters split between 5 vowels and nine consonants. Splitting it apart reveals two words: consent, manager. Average segment length settles at 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

w% Login Username Forgot your password? or G Logga in med Google

Page Load Overview

1.09s
Total Load Time
231 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:86 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism51% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
51%
social media network
47%
finance banking
40%
technology software
36%
healthcare medical
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
846.22.41.109Germany
AS61157PlusServer GmbH
394.237.80.97Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
3142.251.127.84Google · CDNUnited States
AS15169Google LLC
3195.181.175.41Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
394.237.85.247Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
389.222.125.2Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
379.127.216.203Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
267--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DBC2D62E25D32331951344F0AA2EB558F922C2235E19EDE1BEDC5674FFC1EA50D633A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:qVlVuy1c9NY0ZLthSh0G0A00DKQd5YrwzIW//AbrMF26ghgA:qVlfL0/8eq6VroghgA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27940:WkCrAIaUNiCEMIGkiRIwUbACEepIiArwAwAWWWALaAVGTqBDBJI4QYBUSAIApzEJQRQkAPMYc/yARpFMSQ0ICCECTRtdEIBo

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:b38ccc273399cc66
Difference Hash:001032084c320000
Wavelet Hash:f0e0f8f8e0f8e0f0
Color Hash:07007000000

Other Hashes

Crop Resistant:001032084c320000

Scan History

Scan history not available

Unable to load historical scan data