Security Scan Report: multiposting.fr

Redirected to:
https://job-v3.multiposting.fr/saml2/login/?next=/
Submitted: Apr 15, 2026, 12:32:45 AMCompleted: Apr 15, 2026, 12:34:45 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is job-v3.multiposting.fr and was registered NaN years ago.

Submitted URL: https://multiposting.fr

Effective URL: https://job-v3.multiposting.fr/saml2/login/?next=/Redirected

The Cisco Umbrella rank of the primary domain is #95,644 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 400 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

documentation technical

(29%)

Domain Information

You're looking at domain 'multiposting.fr' on the French country-code top-level domain (.fr) and has no subdomain. Count 12 characters in 'multiposting' split between four vowels and eight consonants. Tokenizing the label suggests two words: multi, posting. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://multiposting.fr

Page Load Overview

0.38s
Total Load Time
4
HTTP Requests
2
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:55 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical29% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4155.56.128.132Germany
AS35039SAP SE
41--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14EB012FDE79701553D3539C109C403EA4412A37813090600004C2838D820231AAD62C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6mC/a0EEeKGMTGDBr8qa:qzxO965lEEeKGYGD2D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:e3f0af904d9cdf7d74d81b6801edb5da

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:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#352dd2

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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