Security Scan Report: poc.accelq.io

Submitted: Jan 26, 2026, 3:25:16 PMCompleted: Jan 26, 2026, 3:26:42 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is poc.accelq.io and was registered NaN years ago.

Submitted URL: https://poc.accelq.io

The Cisco Umbrella rank of the primary domain is #292,151 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site hosts malicious JavaScript despite being on an established domain; avoid and report.

Risk Factors
Malicious JavaScript dropper detected on the page
Domain age information unavailable

Details

Page Title

ACCELQ

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

technology software

(66%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'poc.accelq.io' is registered and includes subdomain 'poc'. The core label 'accelq' covers 6 characters containing 2 vowels alongside four consonants. Splitting it apart reveals three words: acc, el, q. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://poc.accelq.io

Page Load Overview

15.66s
Total Load Time
100
HTTP Requests
4
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:275 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
66%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2523.32.238.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2552.88.240.196Boardman, Oregon, United States
AS16509Amazon.com, Inc.
2523.32.238.210Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
25172.217.208.95United States
AS15169Google LLC
1004--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15633223060F16B2A40CF90D979A09A07AFB1DB23C61A55A73AAC5BD64FD7E80DCD314D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:V5+g4QZeyN6WIe0iCkG3W9t4hDFtF9T16GwC4bBoz+0QJNlaiTqpps80OKXBkI:V5+wN6QWhZz9T1lwC4bBoK01T9oBf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54652:CLEBGQmQEghERnNtkJQFFpUSwqgAgAIBBCkhRAMgACGGCYEjAowIAEmMCGgvKdqESFKDvQgCKwAiAxKTASc0oADk+mEJAyyL

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:039b9b9918000000
Perceptual Hash:8dad27224cc919fd
Difference Hash:572b33333292c44c
Wavelet Hash:83ffdbdb9b182020
Color Hash:#936f1f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data