Wakefield Research
Company Details
Linkedin ID:
wakefield
Website:
Employees number:
43
Number of followers:
16,893
NAICS:
54191
Industry Type:
Homepage:
wakefieldresearch.com
IP Addresses:
0
Company ID:
WAK_1105331
Scan Status:
In-progress
Wakefield Research Company CyberSecurity Posture
wakefieldresearch.com
Wakefield Research is the leading market research firm for publicly released data used for earned media and thought leadership. Wakefield also provides research for strategy and insight in nearly 100 countries and our market intelligence division provides secondary data insights to companies worldwide. Our research has helped more than 50 of the Fortune 100. We specialize in intelligent, practical consultancy with an emphasis on results, the customer experience and building long-term strategic relationships.
Wakefield Research A.I CyberSecurity Scoring
Wakefield Research Risk Score (AI oriented)Between 700 and 749
Wakefield Research
Updated:
- Powered by our proprietary A.I cyber incident model
- Insurance preferes TPRM score to calculate premium
Wakefield Research Global Score (TPRM)XXXX
Wakefield Research
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
Wakefield Research Company CyberSecurity News & History
Past Incidents
1
Attack Types
1
Amazon Web Services, Palo Alto Networks, Google Cloud and Wakefield Research: Every organization faced at least one AI-related cyberattack within the last year, says research
Vulnerability
Rankiteo Explanation
Attack without any consequences
Description: **AI Systems Under Siege: Every Organization Targeted in Past Year, Unit 42 Finds** A new report from Palo Alto Networks’ Unit 42 reveals a stark reality: every organization surveyed has faced at least one attack on its AI systems in the past year. The findings, derived from a survey of over 2,800 participants across 10 countries—including the U.S., UK, Germany, Japan, and India—highlight a growing and systemic vulnerability in AI security, with cloud infrastructure at the heart of the problem. Conducted between September 29 and October 17, 2025, the research underscores that AI security cannot rely on reactive measures. Instead, organizations must adopt a proactive, scientific approach to safeguarding AI systems, given their complexity and critical applications. The report emphasizes that AI security is inherently tied to cloud infrastructure, where most AI workloads—data storage, model training, and application deployment—reside. Cloud platforms like AWS, Microsoft Azure, and Google Cloud, while enabling AI scalability, also present prime targets for cyberattacks. Exploitable weaknesses in cloud security can lead to unauthorized access, data theft, or operational disruptions. Traditional security measures often fall short in addressing the unique challenges of AI, such as securing data pipelines, managing identities, and protecting cloud-hosted workloads. The *State of Cloud Security Report 2025* argues that the only effective defense is a holistic approach to cloud security, treating it as foundational to AI protection. This includes enforcing strong policies, encryption standards, regular audits, and isolating AI workloads from cloud vulnerabilities. As AI integrates deeper into sectors like healthcare, finance, and autonomous systems, the stakes rise—breaches could compromise sensitive data, disrupt services, or even endanger lives. Emerging threats, such as adversarial attacks designed to manipulate AI models, further complicate the landscape. The report calls for collaboration between cloud providers, AI developers, and security teams to build robust frameworks and real-time threat detection tools. The future of AI security hinges on securing the cloud infrastructure that powers it, ensuring resilience against an evolving threat landscape.
Wakefield Research Company Scoring based on AI Models
Cyber Incidents Likelihood 3 - 6 - 9 months
A.I Risk Score Likelihood 3 - 6 - 9 months
Underwriter Stats for Wakefield Research
Incidents vs Market Research Industry Average (This Year)
Wakefield Research has 60.0% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs All-Companies Average (This Year)
Wakefield Research has 26.58% more incidents than the average of all companies with at least one recorded incident.
Incident Types Wakefield Research vs Market Research Industry Avg (This Year)
Wakefield Research reported 1 incidents this year: 0 cyber attacks, 0 ransomware, 1 vulnerabilities, 0 data breaches, compared to industry peers with at least 1 incident.
Incident History — Wakefield Research (X = Date, Y = Severity)
Wakefield Research cyber incidents detection timeline including parent company and subsidiaries
Wakefield Research Company Subsidiaries
Wakefield Research is the leading market research firm for publicly released data used for earned media and thought leadership. Wakefield also provides research for strategy and insight in nearly 100 countries and our market intelligence division provides secondary data insights to companies worldwide. Our research has helped more than 50 of the Fortune 100. We specialize in intelligent, practical consultancy with an emphasis on results, the customer experience and building long-term strategic relationships.
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Wakefield Research CyberSecurity News
December 25, 2025 06:13 AM
Every organization faced at least one AI-related cyberattack within the last year, says research
Research finds every organization faced at least one AI-related cyberattack last year, exposing growing risks and driving demand for AI...
November 23, 2025 08:00 AM
More companies are shifting workers to passwordless authentication
No one likes passwords, whether workers or cybersecurity leaders. Now, more companies are doing away with them and say other leading...
November 17, 2025 08:00 AM
Majority Indian organisations plan to hire dedicated professionals for cyber security: Report
A report reveals 90% of Indian organizations plan to hire cybersecurity experts within a year to combat identity threats.
November 16, 2025 08:00 AM
Cyber security push: Indian firms eye specialised hiring as identity-driven threats rise; Rubrik report f
India Business News: Indian businesses are heavily investing in cybersecurity, with nearly 90% planning to hire specialists for digital...
November 16, 2025 08:00 AM
Cyber security: Majority Indian cos plan to hire dedicated professionals
New Delhi: Nearly 90 per cent of Indian organisations plan to hire specialised professionals in the next year to strengthen digital identity...
November 16, 2025 08:00 AM
Majority Indian organisations plan to hire dedicated professionals for cyber security: Report
According to the statement, AI wave is translating into an increase of AI agents in the workplace, which equates to a surge of both...
November 05, 2025 08:00 AM
The AI Paradox: CISOs Gain Confidence in Defense Against Traditional Threats but Are Unprepared for AI Identities, Says Portnox Survey
PRNewswire/ -- Portnox, a leader in cloud-native zero trust access control and cybersecurity solutions, today unveiled the final set of...
October 30, 2025 07:00 AM
The 2025-26 Cyber 60 Is Here: AI Reshapes the Security Landscape
We're excited to release the third edition of the Fortune Cyber 60–our annual list of the most impactful venture-backed cybersecurity...
July 30, 2025 07:00 AM
Keyfactor Report Indicates Nearly Half of Enterprises Unprepared for Post-Quantum Cryptography Threats
Keyfactor, in partnership with Wakefield Research, has announced findings from its Digital Trust Digest: The Quantum Readiness Edition.
Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
Wakefield Research CyberSecurity History Information
Official Website of Wakefield Research
The official website of Wakefield Research is http://www.wakefieldresearch.com.
Wakefield Research’s AI-Generated Cybersecurity Score
According to Rankiteo, Wakefield Research’s AI-generated cybersecurity score is 748, reflecting their Moderate security posture.
How many security badges does Wakefield Research’ have ?
According to Rankiteo, Wakefield Research currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Wakefield Research have SOC 2 Type 1 certification ?
According to Rankiteo, Wakefield Research is not certified under SOC 2 Type 1.
Does Wakefield Research have SOC 2 Type 2 certification ?
According to Rankiteo, Wakefield Research does not hold a SOC 2 Type 2 certification.
Does Wakefield Research comply with GDPR ?
According to Rankiteo, Wakefield Research is not listed as GDPR compliant.
Does Wakefield Research have PCI DSS certification ?
According to Rankiteo, Wakefield Research does not currently maintain PCI DSS compliance.
Does Wakefield Research comply with HIPAA ?
According to Rankiteo, Wakefield Research is not compliant with HIPAA regulations.
Does Wakefield Research have ISO 27001 certification ?
According to Rankiteo,Wakefield Research is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Wakefield Research
Wakefield Research operates primarily in the Market Research industry.
Number of Employees at Wakefield Research
Wakefield Research employs approximately 43 people worldwide.
Subsidiaries Owned by Wakefield Research
Wakefield Research presently has no subsidiaries across any sectors.
Wakefield Research’s LinkedIn Followers
Wakefield Research’s official LinkedIn profile has approximately 16,893 followers.
NAICS Classification of Wakefield Research
Wakefield Research is classified under the NAICS code 54191, which corresponds to Marketing Research and Public Opinion Polling.
Wakefield Research’s Presence on Crunchbase
No, Wakefield Research does not have a profile on Crunchbase.
Wakefield Research’s Presence on LinkedIn
Yes, Wakefield Research maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/wakefield.
Cybersecurity Incidents Involving Wakefield Research
As of December 26, 2025, Rankiteo reports that Wakefield Research has experienced 1 cybersecurity incidents.
Number of Peer and Competitor Companies
Wakefield Research has an estimated 1,921 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at Wakefield Research ?
Incident Types: The types of cybersecurity incidents that have occurred include Vulnerability.
How does Wakefield Research detect and respond to cybersecurity incidents ?
Detection and Response: The company detects and responds to cybersecurity incidents through an third party assistance with unit 42 (palo alto networks), and remediation measures with proactive cloud security policies, encryption standards, regular security audits, isolation of ai workloads, and network segmentation with recommended as part of holistic security approach, and enhanced monitoring with recommended for ai workloads and cloud environments..
Incident Details
Can you provide details on each incident ?
Title: Increasing Attacks on AI Systems via Cloud Infrastructure Vulnerabilities
Description: Recent findings from Unit 42 (Palo Alto Networks) reveal that every organization has faced at least one attack targeting their AI systems over the past year. The research highlights that AI security is fundamentally a cloud infrastructure issue, requiring a systematic and proactive approach rather than reactive measures. The survey included over 2,800 participants from 10 countries, emphasizing the global scale of the threat.
Date Publicly Disclosed: 2025-10-17
Type: AI System Targeting, Cloud Infrastructure Exploitation
Attack Vector: Cloud infrastructure vulnerabilities, unauthorized access, data pipeline exploitation
Vulnerability Exploited: Weaknesses in cloud security, insufficient encryption, inadequate identity management, lack of network segmentation
Motivation: Data theft, operational disruption, adversarial attacks on AI models
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 Vulnerability.
Impact of the Incidents
What was the impact of each incident ?
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
Data Compromised: Sensitive data, AI training datasets, personally identifiable information
Systems Affected: AI workloads, cloud environments (AWS, Microsoft Azure, Google Cloud)
Operational Impact: Disruption of AI-driven services, potential compromise of critical operations
Brand Reputation Impact: Potential erosion of trust in AI-driven services
Identity Theft Risk: High (if PII is exposed)
What types of data are most commonly compromised in incidents ?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Sensitive Data, Ai Training Datasets, Personally Identifiable Information (Pii) and .
Which entities were affected by each incident ?
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
Entity Type: Organizations across industries
Industry: Healthcare, Finance, Autonomous Vehicles, General Enterprise
Location: MexicoSingaporeUKUnited StatesJapanIndiaGermanyFranceBrazilAustralia
Size: All sizes (survey included diverse organizations)
Response to the Incidents
What measures were taken in response to each incident ?
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
Third Party Assistance: Unit 42 (Palo Alto Networks)
Remediation Measures: Proactive cloud security policies, encryption standards, regular security audits, isolation of AI workloads
Network Segmentation: Recommended as part of holistic security approach
Enhanced Monitoring: Recommended for AI workloads and cloud environments
How does the company involve third-party assistance in incident response ?
Third-Party Assistance: The company involves third-party assistance in incident response through Unit 42 (Palo Alto Networks).
Data Breach Information
What type of data was compromised in each breach ?
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
Type of Data Compromised: Sensitive data, Ai training datasets, Personally identifiable information (pii)
Sensitivity of Data: High
Data Exfiltration: Possible (if cloud infrastructure is breached)
Data Encryption: Recommended but not universally implemented
Personally Identifiable Information: Possible
What measures does the company take to prevent data exfiltration ?
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Proactive cloud security policies, encryption standards, regular security audits, isolation of AI workloads.
Lessons Learned and Recommendations
What lessons were learned from each incident ?
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
Lessons Learned: AI security is fundamentally a cloud infrastructure problem. Reactive approaches are insufficient; organizations must adopt proactive, systematic, and scientific methods to secure AI systems. Cloud security must be treated as a foundational element of AI security.
What recommendations were made to prevent future incidents ?
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
Recommendations: Implement strong cloud security policies and encryption standards., Conduct regular security audits of cloud environments hosting AI workloads., Isolate AI workloads from potential vulnerabilities in the cloud., Adopt advanced AI-specific security tools and protocols for real-time threat detection., Collaborate with cloud service providers, AI developers, and security professionals to develop robust security frameworks., Enhance network segmentation and monitoring for AI systems.Implement strong cloud security policies and encryption standards., Conduct regular security audits of cloud environments hosting AI workloads., Isolate AI workloads from potential vulnerabilities in the cloud., Adopt advanced AI-specific security tools and protocols for real-time threat detection., Collaborate with cloud service providers, AI developers, and security professionals to develop robust security frameworks., Enhance network segmentation and monitoring for AI systems.Implement strong cloud security policies and encryption standards., Conduct regular security audits of cloud environments hosting AI workloads., Isolate AI workloads from potential vulnerabilities in the cloud., Adopt advanced AI-specific security tools and protocols for real-time threat detection., Collaborate with cloud service providers, AI developers, and security professionals to develop robust security frameworks., Enhance network segmentation and monitoring for AI systems.Implement strong cloud security policies and encryption standards., Conduct regular security audits of cloud environments hosting AI workloads., Isolate AI workloads from potential vulnerabilities in the cloud., Adopt advanced AI-specific security tools and protocols for real-time threat detection., Collaborate with cloud service providers, AI developers, and security professionals to develop robust security frameworks., Enhance network segmentation and monitoring for AI systems.Implement strong cloud security policies and encryption standards., Conduct regular security audits of cloud environments hosting AI workloads., Isolate AI workloads from potential vulnerabilities in the cloud., Adopt advanced AI-specific security tools and protocols for real-time threat detection., Collaborate with cloud service providers, AI developers, and security professionals to develop robust security frameworks., Enhance network segmentation and monitoring for AI systems.Implement strong cloud security policies and encryption standards., Conduct regular security audits of cloud environments hosting AI workloads., Isolate AI workloads from potential vulnerabilities in the cloud., Adopt advanced AI-specific security tools and protocols for real-time threat detection., Collaborate with cloud service providers, AI developers, and security professionals to develop robust security frameworks., Enhance network segmentation and monitoring for AI systems.
What are the key lessons learned from past incidents ?
Key Lessons Learned: The key lessons learned from past incidents are AI security is fundamentally a cloud infrastructure problem. Reactive approaches are insufficient; organizations must adopt proactive, systematic, and scientific methods to secure AI systems. Cloud security must be treated as a foundational element of AI security.
What recommendations has the company implemented to improve cybersecurity ?
Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: Collaborate with cloud service providers, AI developers, and security professionals to develop robust security frameworks., Enhance network segmentation and monitoring for AI systems., Isolate AI workloads from potential vulnerabilities in the cloud., Implement strong cloud security policies and encryption standards., Conduct regular security audits of cloud environments hosting AI workloads. and Adopt advanced AI-specific security tools and protocols for real-time threat detection..
References
Where can I find more information about each incident ?
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
Source: Unit 42 (Palo Alto Networks) and Wakefield Research
Date Accessed: 2025-10-17
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
Source: State of Cloud Security Report 2025
Where can stakeholders find additional resources on cybersecurity best practices ?
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Unit 42 (Palo Alto Networks) and Wakefield ResearchDate Accessed: 2025-10-17, and Source: State of Cloud Security Report 2025.
Investigation Status
What is the current status of the investigation for each incident ?
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
Investigation Status: Ongoing (research findings published)
Stakeholder and Customer Advisories
Were there any advisories issued to stakeholders or customers for each incident ?
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
Stakeholder Advisories: Organizations are advised to adopt a proactive and scientific approach to AI security, focusing on securing cloud infrastructure as a priority.
What advisories does the company provide to stakeholders and customers following an incident ?
Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: were Organizations are advised to adopt a proactive and scientific approach to AI security and focusing on securing cloud infrastructure as a priority..
Initial Access Broker
How did the initial access broker gain entry for each incident ?
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
High Value Targets: AI workloads, cloud environments
Data Sold on Dark Web: AI workloads, cloud environments
Post-Incident Analysis
What were the root causes and corrective actions taken for each incident ?
Incident : AI System Targeting, Cloud Infrastructure Exploitation AMAUNIGOOWAK1766721300
Root Causes: Weaknesses In Cloud Security Frameworks, Insufficient Encryption And Identity Management, Lack Of Proactive Security Measures For Ai Systems, Over-Reliance On Reactive Security Approaches,
Corrective Actions: Strengthen Cloud Security Policies, Implement Encryption And Identity Management Best Practices, Adopt Proactive Security Measures For Ai Workloads, Enhance Network Segmentation And Monitoring,
What is the company's process for conducting post-incident analysis ?
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as Unit 42 (Palo Alto Networks), Recommended for AI workloads and cloud environments.
What corrective actions has the company taken based on post-incident analysis ?
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Strengthen Cloud Security Policies, Implement Encryption And Identity Management Best Practices, Adopt Proactive Security Measures For Ai Workloads, Enhance Network Segmentation And Monitoring, .
Additional Questions
Incident Details
What was the most recent incident publicly disclosed ?
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2025-10-17.
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 Sensitive data, AI training datasets and personally identifiable information.
Response to the Incidents
What third-party assistance was involved in the most recent incident ?
Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was Unit 42 (Palo Alto Networks).
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 Sensitive data, AI training datasets and personally identifiable information.
Lessons Learned and Recommendations
What was the most significant lesson learned from past incidents ?
Most Significant Lesson Learned: The most significant lesson learned from past incidents was AI security is fundamentally a cloud infrastructure problem. Reactive approaches are insufficient; organizations must adopt proactive, systematic, and scientific methods to secure AI systems. Cloud security must be treated as a foundational element of AI security.
What was the most significant recommendation implemented to improve cybersecurity ?
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Collaborate with cloud service providers, AI developers, and security professionals to develop robust security frameworks., Enhance network segmentation and monitoring for AI systems., Isolate AI workloads from potential vulnerabilities in the cloud., Implement strong cloud security policies and encryption standards., Conduct regular security audits of cloud environments hosting AI workloads. and Adopt advanced AI-specific security tools and protocols for real-time threat detection..
References
What is the most recent source of information about an incident ?
Most Recent Source: The most recent source of information about an incident are Unit 42 (Palo Alto Networks) and Wakefield Research and State of Cloud Security Report 2025.
Investigation Status
What is the current status of the most recent investigation ?
Current Status of Most Recent Investigation: The current status of the most recent investigation is Ongoing (research findings published).
Stakeholder and Customer Advisories
What was the most recent stakeholder advisory issued ?
Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was Organizations are advised to adopt a proactive and scientific approach to AI security, focusing on securing cloud infrastructure as a priority., .
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Latest Global CVEs (Not Company-Specific)
Description
A vulnerability was found in UTT 进取 512W up to 1.7.7-171114. This vulnerability affects the function strcpy of the file /goform/formConfigNoticeConfig. The manipulation of the argument timestart results in buffer overflow. The attack may be performed from remote. The exploit has been made public and could be used.
Risk Information
cvss2
Base: 9.0
Severity: LOW
AV:N/AC:L/Au:S/C:C/I:C/A:C
cvss3
Base: 8.8
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
cvss4
Base: 7.4
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/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
A vulnerability has been found in UTT 进取 512W up to 1.7.7-171114. This affects the function strcpy of the file /goform/APSecurity. The manipulation of the argument wepkey1 leads to buffer overflow. The attack is possible to be carried out remotely. The exploit has been disclosed to the public and may be used.
Risk Information
cvss2
Base: 9.0
Severity: LOW
AV:N/AC:L/Au:S/C:C/I:C/A:C
cvss3
Base: 8.8
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
cvss4
Base: 7.4
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/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
A vulnerability was detected in ketr JEPaaS up to 7.2.8. Affected by this vulnerability is the function postilService.loadPostils of the file /je/postil/postil/loadPostil. Performing manipulation of the argument keyWord results in sql injection. Remote exploitation of the attack is possible. The exploit is now public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
Risk Information
cvss2
Base: 6.5
Severity: LOW
AV:N/AC:L/Au:S/C:P/I:P/A:P
cvss3
Base: 6.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
cvss4
Base: 5.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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
A security vulnerability has been detected in youlaitech youlai-mall 1.0.0/2.0.0. Affected is the function submitOrderPayment of the file mall-oms/oms-boot/src/main/java/com/youlai/mall/oms/controller/app/OrderController.java. Such manipulation of the argument orderSn leads to improper authorization. The attack may be launched remotely. The exploit has been disclosed publicly and may be used. The real existence of this vulnerability is still doubted at the moment. The vendor was contacted early about this disclosure but did not respond in any way.
Risk Information
cvss2
Base: 4.0
Severity: LOW
AV:N/AC:L/Au:S/C:N/I:P/A:N
cvss3
Base: 4.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
cvss4
Base: 5.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:P/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
A weakness has been identified in youlaitech youlai-mall 1.0.0/2.0.0. This impacts the function getMemberByMobile of the file mall-ums/ums-boot/src/main/java/com/youlai/mall/ums/controller/app/MemberController.java. This manipulation causes improper access controls. The attack may be initiated remotely. The exploit has been made available to the public and could be exploited. The vendor was contacted early about this disclosure but did not respond in any way.
Risk Information
cvss2
Base: 4.0
Severity: LOW
AV:N/AC:L/Au:S/C:P/I:N/A:N
cvss3
Base: 4.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
cvss4
Base: 5.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P/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
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RapidWhat Do We Measure ?
Incident
Finding
Grade
Digital Assets
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
These are some of the factors we use to calculate the overall score:
Network Security
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
SBOM (Software Bill of Materials)
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
CMDB (Configuration Management Database)
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Threat Intelligence
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.
