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At GonnaOrder, we empower hospitality businesses, including restaurants, takeaways, dark kitchens, cafés, bars, beach bars, pubs, hotels, and caterers with our comprehensive SaaS solutions. From QR menu and table ordering to room service, collection, delivery, kiosk ordering, online table reservations, and loyalty programs we streamline operations for our customers across 30+ countries worldwide. We pride ourselves on providing the best payment rates tailored to each market we operate in. Serving as a central tech hub, we seamlessly integrate with a range of hospitality technology solutions, such as restaurant POS systems, local payment providers, and delivery management software, ensuring a smooth and efficient experience for our customers. Next to that, GonnaOrder supports as a white-label SaaS provider hospitality suppliers like restaurant POS systems, payment providers, hospitality tech startups, online ticketing companies, hospitality IT vendors, and hospitality marketing & website development agencies. Our white-label offering enables those hospitality suppliers to provide more value to their existing clientele under their own branding and pricing guidelines without the hassle of developing or maintaining any digital customer-facing products themselves.

GonnaOrder A.I CyberSecurity Scoring

GonnaOrder

Company Details

Linkedin ID:

gonnaorder

Employees number:

26

Number of followers:

1,564

NAICS:

513

Industry Type:

Technology, Information and Internet

Homepage:

gonnaorder.com

IP Addresses:

0

Company ID:

GON_2519345

Scan Status:

In-progress

AI scoreGonnaOrder Risk Score (AI oriented)

Between 650 and 699

https://images.rankiteo.com/companyimages/gonnaorder.jpeg
GonnaOrder Technology, Information and Internet
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globalscoreGonnaOrder Global Score (TPRM)

XXXX

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GonnaOrder Technology, Information and Internet
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GonnaOrder Company CyberSecurity News & History

Past Incidents
1
Attack Types
1
EntityTypeSeverityImpactSeenBlog DetailsSupply Chain SourceIncident DetailsView
GonnaOrderBreach8546/2025NA
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: GonnaOrder Exposes Millions of Customer Records via Unsecured Kafka Broker A major security lapse at European food delivery platform GonnaOrder left real-time order data from thousands of customers exposed for nearly two years, according to researchers at Cybernews. The breach stemmed from an unsecured Apache Kafka Broker instance, which remained accessible from August 2022 until late last month when the company finally secured it. The exposed data included names, phone numbers, delivery addresses, order details, and payment information, primarily affecting customers in the UK, Belgium, Greece, and the Netherlands. While Kafka isn’t designed for long-term data storage, researchers warned that attackers could have exploited the misconfiguration by deploying a "collector" to continuously scrape sensitive information over the extended exposure period. Cybernews highlighted the risks of such prolonged exposure, noting that leaked data including building access codes embedded in delivery notes could be exploited for fraud, phishing, or physical security breaches even after the instance was secured. The incident underscores the dangers of misconfigured cloud services in handling sensitive customer data.

GonnaOrder: Misconfiguration leaks GonnaOrder data
Breach
Severity: 85
Impact: 4
Seen: 6/2025
Blog:
Supply Chain Source: NA
Rankiteo Explanation
Attack with significant impact with customers data leaks

Description: GonnaOrder Exposes Millions of Customer Records via Unsecured Kafka Broker A major security lapse at European food delivery platform GonnaOrder left real-time order data from thousands of customers exposed for nearly two years, according to researchers at Cybernews. The breach stemmed from an unsecured Apache Kafka Broker instance, which remained accessible from August 2022 until late last month when the company finally secured it. The exposed data included names, phone numbers, delivery addresses, order details, and payment information, primarily affecting customers in the UK, Belgium, Greece, and the Netherlands. While Kafka isn’t designed for long-term data storage, researchers warned that attackers could have exploited the misconfiguration by deploying a "collector" to continuously scrape sensitive information over the extended exposure period. Cybernews highlighted the risks of such prolonged exposure, noting that leaked data including building access codes embedded in delivery notes could be exploited for fraud, phishing, or physical security breaches even after the instance was secured. The incident underscores the dangers of misconfigured cloud services in handling sensitive customer data.

Ailogo

GonnaOrder Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

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Incident Predictions locked
Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

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A.I. Risk Score Predictions locked
Access Monitoring Plan
statics

Underwriter Stats for GonnaOrder

Incidents vs Technology, Information and Internet Industry Average (This Year)

No incidents recorded for GonnaOrder in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for GonnaOrder in 2026.

Incident Types GonnaOrder vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for GonnaOrder in 2026.

Incident History — GonnaOrder (X = Date, Y = Severity)

GonnaOrder cyber incidents detection timeline including parent company and subsidiaries

GonnaOrder Company Subsidiaries

SubsidiaryImage

At GonnaOrder, we empower hospitality businesses, including restaurants, takeaways, dark kitchens, cafés, bars, beach bars, pubs, hotels, and caterers with our comprehensive SaaS solutions. From QR menu and table ordering to room service, collection, delivery, kiosk ordering, online table reservations, and loyalty programs we streamline operations for our customers across 30+ countries worldwide. We pride ourselves on providing the best payment rates tailored to each market we operate in. Serving as a central tech hub, we seamlessly integrate with a range of hospitality technology solutions, such as restaurant POS systems, local payment providers, and delivery management software, ensuring a smooth and efficient experience for our customers. Next to that, GonnaOrder supports as a white-label SaaS provider hospitality suppliers like restaurant POS systems, payment providers, hospitality tech startups, online ticketing companies, hospitality IT vendors, and hospitality marketing & website development agencies. Our white-label offering enables those hospitality suppliers to provide more value to their existing clientele under their own branding and pricing guidelines without the hassle of developing or maintaining any digital customer-facing products themselves.

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GonnaOrder CyberSecurity News

January 21, 2026 02:14 PM
EU reviews cybersecurity to limit danger from high-risk suppliers

The European Commission has presented a new cybersecurity package to strengthen the European Union's resilience to increasing cyber and...

January 21, 2026 02:12 PM
Cybersecurity firm Coro appoints Eyal Hen as new CFO

CHICAGO - Cybersecurity platform provider Coro announced Wednesday the appointment of Eyal Hen as its new Chief Financial Officer,...

January 21, 2026 02:00 PM
BrainCheck Achieves HITRUST i1 Certification, Demonstrating Commitment to Cybersecurity and Information Protection

HITRUST Certification validates that BrainCheck is meeting rigorous cybersecurity and data protection standards through independent...

January 21, 2026 01:59 PM
AI Supercharging Cyber Arms Race; Geopolitics At Centre Of Security Strategy: WEF Cybersecurity Head

Despite there being complex risks from AI adoption, there is an equally better response from cybersecurity entities, says Akshay Joshi.

January 21, 2026 01:55 PM
Best Cybersecurity Newsletters Shortlist For 2026

This week in cybersecurity from the editors at Cybercrime Magazine.

January 21, 2026 01:42 PM
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January 21, 2026 01:37 PM
Exclusive: Cybersecurity startup Furl collects $10M seed

Security remediation startup Furl raised a $10 million seed round led by Ten Eleven Ventures, co-founder and CEO Derek Abdine tells Axios...

January 21, 2026 01:35 PM
Identity Ranks as No. 1 Cybersecurity Threat Vector; AI Massively Compounds the Risk, Permiso Research Finds

PALO ALTO, Calif.--(BUSINESS WIRE)--Identity-related attacks were the dominant threat vector in 2025 with 76% of organizations saying they...

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China urges EU against protectionist path in cybersecurity law

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faq

Frequently Asked Questions

Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.

GonnaOrder CyberSecurity History Information

Official Website of GonnaOrder

The official website of GonnaOrder is http://www.gonnaorder.com.

GonnaOrder’s AI-Generated Cybersecurity Score

According to Rankiteo, GonnaOrder’s AI-generated cybersecurity score is 662, reflecting their Weak security posture.

How many security badges does GonnaOrder’ have ?

According to Rankiteo, GonnaOrder currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has GonnaOrder been affected by any supply chain cyber incidents ?

According to Rankiteo, GonnaOrder has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does GonnaOrder have SOC 2 Type 1 certification ?

According to Rankiteo, GonnaOrder is not certified under SOC 2 Type 1.

Does GonnaOrder have SOC 2 Type 2 certification ?

According to Rankiteo, GonnaOrder does not hold a SOC 2 Type 2 certification.

Does GonnaOrder comply with GDPR ?

According to Rankiteo, GonnaOrder is not listed as GDPR compliant.

Does GonnaOrder have PCI DSS certification ?

According to Rankiteo, GonnaOrder does not currently maintain PCI DSS compliance.

Does GonnaOrder comply with HIPAA ?

According to Rankiteo, GonnaOrder is not compliant with HIPAA regulations.

Does GonnaOrder have ISO 27001 certification ?

According to Rankiteo,GonnaOrder is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Industry Classification of GonnaOrder

GonnaOrder operates primarily in the Technology, Information and Internet industry.

Number of Employees at GonnaOrder

GonnaOrder employs approximately 26 people worldwide.

Subsidiaries Owned by GonnaOrder

GonnaOrder presently has no subsidiaries across any sectors.

GonnaOrder’s LinkedIn Followers

GonnaOrder’s official LinkedIn profile has approximately 1,564 followers.

NAICS Classification of GonnaOrder

GonnaOrder is classified under the NAICS code 513, which corresponds to Others.

GonnaOrder’s Presence on Crunchbase

Yes, GonnaOrder has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/gonnaorder.

GonnaOrder’s Presence on LinkedIn

Yes, GonnaOrder maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/gonnaorder.

Cybersecurity Incidents Involving GonnaOrder

As of January 21, 2026, Rankiteo reports that GonnaOrder has experienced 1 cybersecurity incidents.

Number of Peer and Competitor Companies

GonnaOrder has an estimated 13,456 peer or competitor companies worldwide.

What types of cybersecurity incidents have occurred at GonnaOrder ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach.

How does GonnaOrder detect and respond to cybersecurity incidents ?

Detection and Response: The company detects and responds to cybersecurity incidents through an containment measures with instance secured late last month..

Incident Details

Can you provide details on each incident ?

Incident : Data Exposure

Title: GonnaOrder Kafka Broker Data Exposure

Description: Major European food delivery platform GonnaOrder had real-time order information from thousands of its customers inadvertently exposed by a Kafka Broker instance that has been unsecured since August 2022. The exposed data included orders, phone numbers, ordered locations, delivery notes, and payment details from customers in the UK, Belgium, Greece, and the Netherlands. Attackers could have compromised the misconfigured instance with a 'collector' to facilitate prolonged data scraping activities, potentially obtaining millions of customers' data, including names, phone numbers, home addresses, and order details containing private information such as access codes to enter buildings.

Type: Data Exposure

Attack Vector: Misconfigured Kafka Broker

Vulnerability Exploited: Unsecured Kafka Broker instance

What are the most common types of attacks the company has faced ?

Common Attack Types: The most common types of attacks the company has faced is Breach.

Impact of the Incidents

What was the impact of each incident ?

Incident : Data Exposure GON1767064516

Data Compromised: Real-time order information, phone numbers, ordered locations, delivery notes, payment details, names, home addresses, access codes

Systems Affected: Kafka Broker instance

Brand Reputation Impact: Potential reputational damage due to data exposure

Identity Theft Risk: High

Payment Information Risk: High

What types of data are most commonly compromised in incidents ?

Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Order Information, Phone Numbers, Ordered Locations, Delivery Notes, Payment Details, Names, Home Addresses, Access Codes and .

Which entities were affected by each incident ?

Incident : Data Exposure GON1767064516

Entity Name: GonnaOrder

Entity Type: Food Delivery Platform

Industry: Food & Beverage

Location: Europe

Customers Affected: Thousands (potentially millions)

Response to the Incidents

What measures were taken in response to each incident ?

Incident : Data Exposure GON1767064516

Containment Measures: Instance secured late last month

Data Breach Information

What type of data was compromised in each breach ?

Incident : Data Exposure GON1767064516

Type of Data Compromised: Order information, Phone numbers, Ordered locations, Delivery notes, Payment details, Names, Home addresses, Access codes

Number of Records Exposed: Millions (potential)

Sensitivity of Data: High

Data Exfiltration: Possible via prolonged data scraping

Personally Identifiable Information: Yes

How does the company handle incidents involving personally identifiable information (PII) ?

Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through by instance secured late last month.

References

Where can I find more information about each incident ?

Incident : Data Exposure GON1767064516

Source: Cybernews

Where can stakeholders find additional resources on cybersecurity best practices ?

Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Cybernews.

Post-Incident Analysis

What were the root causes and corrective actions taken for each incident ?

Incident : Data Exposure GON1767064516

Root Causes: Misconfigured Kafka Broker instance

Additional Questions

Impact of the Incidents

What was the most significant data compromised in an incident ?

Most Significant Data Compromised: The most significant data compromised in an incident were Real-time order information, phone numbers, ordered locations, delivery notes, payment details, names, home addresses and access codes.

Response to the Incidents

What containment measures were taken in the most recent incident ?

Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident was Instance secured late last month.

Data Breach Information

What was the most sensitive data compromised in a breach ?

Most Sensitive Data Compromised: The most sensitive data compromised in a breach were Real-time order information, phone numbers, ordered locations, delivery notes, payment details, names, home addresses and access codes.

What was the number of records exposed in the most significant breach ?

Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 0.

References

What is the most recent source of information about an incident ?

Most Recent Source: The most recent source of information about an incident is Cybernews.

cve

Latest Global CVEs (Not Company-Specific)

Description

SummaryA command injection vulnerability (CWE-78) has been found to exist in the `wrangler pages deploy` command. The issue occurs because the `--commit-hash` parameter is passed directly to a shell command without proper validation or sanitization, allowing an attacker with control of `--commit-hash` to execute arbitrary commands on the system running Wrangler. Root causeThe commitHash variable, derived from user input via the --commit-hash CLI argument, is interpolated directly into a shell command using template literals (e.g.,  execSync(`git show -s --format=%B ${commitHash}`)). Shell metacharacters are interpreted by the shell, enabling command execution. ImpactThis vulnerability is generally hard to exploit, as it requires --commit-hash to be attacker controlled. The vulnerability primarily affects CI/CD environments where `wrangler pages deploy` is used in automated pipelines and the --commit-hash parameter is populated from external, potentially untrusted sources. An attacker could exploit this to: * Run any shell command. * Exfiltrate environment variables. * Compromise the CI runner to install backdoors or modify build artifacts. Credits Disclosed responsibly by kny4hacker. Mitigation * Wrangler v4 users are requested to upgrade to Wrangler v4.59.1 or higher. * Wrangler v3 users are requested to upgrade to Wrangler v3.114.17 or higher. * Users on Wrangler v2 (EOL) should upgrade to a supported major version.

Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.2 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H).

Risk Information
cvss3
Base: 8.2
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H
Description

Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle VM VirtualBox accessible data as well as unauthorized access to critical data or complete access to all Oracle VM VirtualBox accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.1 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:L).

Risk Information
cvss3
Base: 8.1
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:L
Description

Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.2 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H).

Risk Information
cvss3
Base: 8.2
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H
Description

Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.2 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H).

Risk Information
cvss3
Base: 8.2
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H

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