Security Scan Report: compliq.se

Redirected to:
https://www.compliq.se/
Site favicon
Submitted: Sep 28, 2026, 4:50:32 AMCompleted: Sep 28, 2026, 4:51:38 AMpubliccompleted

This website contacted 44 IPs in 4 countries across 28 domains to perform 140 HTTP transactions. The main domain is compliq.se and was registered 14 years ago.

Submitted URL: https://compliq.se

Effective URL:

https://www.compliq.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established Swedish IT hardware/services company on a 6-year-old domain; self-branded, no credential or payment forms, and no Indicators of Compromise, YARA, or IDS signals. No evidence of phishing or fraud.

Safety Factors (6)
Established 6-year-old domain (well-established age category, minimal age risk)
Self-branding consistent with its own registered domain name
No credential, password, or payment fields present on the page
No Indicators of Compromise, no YARA hits, no IDS alerts
Business legitimacy content: physical address, services, customer reviews, partner/industry sections
Cross-origin script hosts are predominantly top-1M ranked (Google, Cloudflare, LinkedIn, jsDelivr, etc.)
Domain age information unavailable

Details

Page Title

Compliq IT | En trygg leverantör av IT-lösningar och datorkomponenter

Scan Type

public

Domain Name Analysis

Domain 'compliq.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The registrable portion 'compliq' spans 7 characters holding 2 vowels versus five consonants. Breaking it apart gives 2 words: comp, liq. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://compliq.se

Page Load Overview

12.49s
Total Load Time
4.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:12,963 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate business75% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
75%
technology software
64%
documentation technical
58%
government public service
34%
corporate
25%

Detected Features

Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11198.202.211.1Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
3104.18.160.117Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
313.226.244.6Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
313.226.247.220Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3146.75.123.52Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
14044--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124157D2EB814AC2E511381CCD7E0EB0423BEF157C156466877AB6ADC4EC7CEA7D1A139

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:33sgs9PjnmgN6wwJCDDVNLU1c/mvfc/mmxhgMc/mDXvuc/mDT3YKHc/mOFc/mncY:zsBDUtOxhzvQTIK+RkAtRb7j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:923704:gwCgCAV01ICAKmRDKgWAfASi44KBYgiGmAasCDwEIJwACChCMZirABTyBKkoIEAIKIZgnZSkQwRCgRED0OibBVXJllCKMHkI

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:fff0f0f0f8f8f900
Perceptual Hash:cce6328917b54b36
Difference Hash:948524226303830c
Wavelet Hash:fff0f0f0f0f8c100
Color Hash:#bf4060

Scan History

Scan history not available

Unable to load historical scan data