Security Scan Report: help.rockflow.ai

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Submitted: Sep 8, 2026, 2:19:57 PMCompleted: Sep 8, 2026, 2:21:14 PMpubliccompleted

This website contacted 3 IPs in 1 country across 5 domains to perform 135 HTTP transactions. The main domain is help.rockflow.ai and was registered 5 years ago.

Submitted URL: https://help.rockflow.ai/docs/education/us-stock-index/what-is-djia/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The page shows no malicious content, forms, or IoCs and is hosted on an older, well‑established domain.

Safety Factors (4)
Established domain age
Absence of forms that collect credentials or payments
No malicious IoC or YARA detections
No suspicious IDS alerts
Domain age information unavailable

Details

Page Title

What is Dow Jones Industrial Average (DJIA)? | RockFlow

Scan Type

public

Domain Name Analysis

The domain 'help.rockflow.ai' uses the Anguillan country-code top-level domain (.ai) with subdomain 'help'. The registrable portion 'rockflow' spans 8 characters with two vowels and six consonants. Word splitting yields two words: rock, flow. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://help.rockflow.ai/docs/education/us-stock-index/what-is-djia/

Page Load Overview

3.67s
Total Load Time
1.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,546 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
56%
news media journalism
49%
corporate business
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4547.245.129.135Frankfurt am Main, Hesse, Germany
AS45102Alibaba (US) Technology Co., Ltd.
458.211.46.160Frankfurt am Main, Hesse, Germany
AS45102Alibaba (US) Technology Co., Ltd.
45163.181.58.172Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
1353--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C61EF62B830BC28937646C9B652F79987C3E35FE65A5C21B0EC439117D8E203177237

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hc4wXZMTiuSDs5YB/G9iqJbvmudwjbuujlw8gMSDMaHK28KuPyG9id6gyG9iZrgF:S3iZjbWEMqMaHP8MeJedxrNyB8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3288:AAIAADFAAAAggAABIACAhgERgBFAGDAEACAAABAAACSkghJCUCAAAiAhAANAAhQQNBA6GQAAUgAEAABggIAAQACAAkABBgwC

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:85c75d47c3d7c7c6
Perceptual Hash:b01a5dae558acf98
Difference Hash:a99db98f96260e0e
Wavelet Hash:5c454d43c3dfc3c2
Color Hash:#d2802d

Other Hashes

Crop Resistant:a99db98f96260e0e

Scan History

Scan history not available

Unable to load historical scan data