Security Scan Report: takrekrytering.se

Redirected to:
https://www.vesivek.se/lediga-jobb/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 26 IPs in 4 countries across 22 domains to perform 69 HTTP transactions. The main domain is takrekrytering.se.

Submitted URL: https://takrekrytering.se

Effective URL:
https://www.vesivek.se/lediga-jobb/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Redirect from takrekrytering.se lands on Vesivek's own recruitment page; no forms collecting credentials or payment, no threat-intel, hunting rule or IDS hits. Legitimate.

Safety Factors (5)
Cross-domain redirect terminates on the brand's own domain (vesivek.se), settling the brand question in favour of the brand owner
No credential, login or payment fields anywhere in the captured DOM
No Indicators of Compromise, hunting rule, Safe Browsing or IDS signals
Application contact details use the company's own vesivek.se e-mail addresses
Machine-learning classification: corporate (70%)
Domain age information unavailable

Details

Page Title

Jobba med nordens största takläggare | Vesivek.se

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'takrekrytering.se' is registered without a subdomain. Its registrable label 'takrekrytering' stretches across 14 characters split between 4 vowels and ten consonants. Splitting it apart reveals six words: tak, re, k, ry, te, ring. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

FINANSIERING NYHETER RING 010-108 92 32 OFFERTFÖRFRÅGAN AN VESIVE K + FRÅGOR OCH SVAR JOBBA HOS OSS BYTA TAK Vv KOSTNADSFRI TAKKONTROLL INSTALLERA SOLCELLER Vv BOSTADSRÄTTER Vv OM VESIVEK v KONTAKTA...

Page Load Overview

11.69s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:22,385 chars
Detector Agreement:100%
Language mismatch: Declared as en-US but detected as sv

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1934.120.47.212Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2142.251.14.95Google · CDNUnited States
AS15169Google LLC
2142.251.110.97Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2172.66.40.203Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
22.16.204.150Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
2150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
263.184.47.31Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22.56.30.19Sweden
AS12552GlobalConnect AB
2142.251.127.156Google · CDNUnited States
AS15169Google LLC
6926--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C944A632B1E1301F5A2BC2B02194E35727AB1087C9499594F1EEA77C2FD6E859CFE193

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Ybfud8Z9c7GnmFkd65gVUnRzxx5U9B9ly0pXL74DmX2VeyTnBCkBPG4ax:YGnRD5U60pXL74DmX2VeyTnBCkwV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:264088:GpQEBUkgGRARxQNuEEBRa0BCDxQRTsnMwEQYRAzSIMAJsAJUIRBVVgwO0BAZ2hSorRCKISaAMCxoAw4wADEopogH3iCAIJYA

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:6001ffffffff041f
Perceptual Hash:ad6301675357c1d6
Difference Hash:438b20191b2734b4
Wavelet Hash:2000ffdfffb3000e
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data