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Security Scan Report: support-acctek.com

Submitted: Jul 3, 2026, 3:52:04 AMCompleted: Jul 3, 2026, 3:54:09 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is support-acctek.com and was registered NaN years ago.

Submitted URL: https://support-acctek.com/

AI Security Verdict

High Risk

Confidence: 85%

10
Risk Score

Google Safe Browsing flags this new, unranked site for social engineering; treat as high‑risk phishing.

Risk Factors
New domain (48 days old)
Unranked / low reputation in Cisco Umbrella
Google Safe Browsing social engineering indicator
Domain age information unavailable

Details

Page Title

support-acctek.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

The domain 'support-acctek.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 14 characters in 'support-acctek' with 4 vowels and 9 consonants; bonus characters include 1 hyphen. Tokenizing the label suggests 3 words: support, acc, tek. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://support-acctek.com/

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:750 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
61%
adult content
48%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
03.85.12.21Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
0146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
013.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
15--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131048F77329A063986558498F05B43099F20B143F50AC9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPE2bMy8OldH:choC9JSqzzbs6okSjggcpss2eA1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187909:ABQAABDTHoiA1ZITE2JMEACF0LgCbAkSpjXAAHCiWeghCcgS6DQswEAVAIEFFQkolDDVAYgQKgAIAEWApD0QAaMxBbaMiIAB

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4c0f8f0f0
Color Hash:#864a2d

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data