Security Scan Report: blikyltekniker.se

Redirected to:
https://careers.francksref.com/
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Submitted: Completed: publiccompleted
This website contacted 36 IPs in 4 countries across 18 domains to perform 116 HTTP transactions. The main domain is blikyltekniker.se.

Submitted URL: https://blikyltekniker.se

Effective URL:
https://careers.francksref.com/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate corporate career page for Francks Kylindustri AB served via a normal redirect to its Teamtailor portal; no credential/payment forms or threat-intel hits.

Safety Factors (5)
Cross-domain redirect resolves to the company's own career portal on a recognised recruitment platform (Teamtailor)
No credential or payment collection — email field only, no password or card fields
No indicators of compromise, hunting-rule hits, IDS alerts or Safe Browsing flags
Rich, coherent corporate content with cookie policy and legal information
Consistent branding between page title, Open Graph site name and the redirect chain's parent domain
Domain age information unavailable

Details

Page Title

En unik karriär - Francks Kylindustri AB

Scan Type

public

Domain Name Analysis

The domain 'blikyltekniker.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label 'blikyltekniker' stretches across 14 characters with four vowels and ten consonants. Splitting it apart reveals 6 words: b, li, ky, ltek, nike, r. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Webbplatsen använder cookies för att säkerställa att du får den bästa upplevelsen. Francks Kylindustri AB och våra samarbetspartner använder cookies och liknande tekniker (gemensamt "cookies") som be...

Page Load Overview

2.93s
Total Load Time
3.6 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv
Text Length:9,172 chars
Detector Agreement:92%

All Detected Languages

🇸🇪sv(97%)🇳🇴no(2%)🇫🇷fr(0%)🇩🇰da(0%)🇫🇮fi(0%)

Website Classification

Primary Category

corporate business58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
58%
blog personal website
49%
documentation technical
48%
government public service
47%
technology software
43%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4018.245.60.124Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4013.32.99.114Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
4146.75.121.242Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3195.47.247.18Denmark
AS51468One.com A/S
393.188.2.51Sweden
AS39570Loopia AB
313.32.99.61Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
32.20.245.153Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.2.13.67Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
313.32.99.59Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
318.245.60.95Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
11636--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7F30964F0F5B1FB205302F57652B72AB989E347C1928984F1EE81A02FD5CA7B42774E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:z3XBTVyw0sXRlO/kiRtKBMpdhTJPCS5Mm6p1DkFqN:z3Xew0rR/gS5Mm3qN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:171194:GwqqQIMNjIIhCBto4IpWKGQAMQoCYgCAKSUQCwXEAQMrIEGU0QBiANYQIeDYJsAm5SSEotKKhVUVVoEmuQhFTQOiwOoVrZLA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data