Lenovo
Company Details
Linkedin ID:
lenovo
Website:
Employees number:
46,066
Number of followers:
1,250,702
NAICS:
5415
Industry Type:
Homepage:
lenovo.com
IP Addresses:
0
Company ID:
LEN_3024493
Scan Status:
In-progress
Internal validation & live display
Multiple badges & continuous verification
Faster underwriting decisions
Lenovo Vendor Cyber Rating & Cyber Score
lenovo.comLenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit https://www.lenovo.com, and read about the latest news via our StoryHub at https://news.lenovo.com/. To learn more about our career opportunities, visit our careers page at http://jobs.lenovo.com/.
Lenovo A.I CyberSecurity Scoring
Lenovo Risk Score (AI oriented)Between 750 and 799
Lenovo
Updated:
- Powered by our proprietary A.I cyber incident model
- Insurance preferes TPRM score to calculate premium
Lenovo Global Score (TPRM)XXXX
Lenovo
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
Lenovo Company CyberSecurity News & History
Past Incidents
3
Attack Types
1
Lenovo
Vulnerability
Rankiteo Explanation
Attack with significant impact with customers data leaks
Description: Critical vulnerabilities were discovered in Lenovo’s AI-powered customer support chatbot, Lena, which leverages OpenAI’s GPT-4. The flaw stemmed from improper input and output sanitization, exposing the system to cross-site scripting (XSS) attacks. Security researchers at Cybernews demonstrated that attackers could exploit this by injecting malicious code via a 400-character prompt, tricking the AI into generating harmful HTML content. This enabled threat actors to steal session cookies, potentially granting unauthorized access to Lenovo’s customer support systems.The vulnerability highlighted significant risks in poorly secured AI implementations, particularly as enterprises accelerate AI adoption. While no evidence of active exploitation was reported, the flaw posed a serious threat to customer data integrity and system security. Had attackers successfully leveraged this, they could have compromised user sessions, accessed sensitive support-related information, or escalated privileges within Lenovo’s infrastructure. The incident underscores the urgency for robust AI security frameworks to prevent such exposures in high-stakes enterprise environments.
Lenovo
Vulnerability
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Lenovo devices running on vulnerable Insyde firmware were targeted by the BootKitty Linux UEFI bootkit exploiting the LogoFAIL flaws (CVE-2023-40238). BootKitty bypassed UEFI Secure Boot by injecting rogue certificates and exploiting vulnerabilities in UEFI image-parsing components through tampered BMP files. The bootkit was capable of disabling kernel signature verification, preloading malicious binaries, and targeting specific Ubuntu versions. Despite available security patches, many devices remained at risk. The incident served as a reminder of the dangers associated with unaddressed vulnerabilities and the importance of timely updates to safeguard devices in the field.
Lenovo
Vulnerability
Rankiteo Explanation
Attack without any consequences
Description: A significant security vulnerability has been discovered in Lenovo’s preloaded Windows operating systems, where a writable file in the Windows directory enables attackers to bypass Microsoft’s AppLocker security framework. The issue affects all variants of Lenovo machines running default Windows installations and poses serious implications for enterprise security environments. Key takeaways include the writable MFGSTAT.zip file bypassing AppLocker security due to incorrect permissions, the use of Alternate Data Streams to hide executables, and the persistence of the vulnerability from 2019 to 2025. Mitigation strategies involve removing the vulnerable file using PowerShell or other enterprise management tools.
Lenovo 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 Lenovo
Incidents vs IT Services and IT Consulting Industry Average (This Year)
No incidents recorded for Lenovo in 2026.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Lenovo in 2026.
Incident Types Lenovo vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Lenovo in 2026.
Incident History — Lenovo (X = Date, Y = Severity)
Lenovo cyber incidents detection timeline including parent company and subsidiaries
Lenovo Company Subsidiaries
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit https://www.lenovo.com, and read about the latest news via our StoryHub at https://news.lenovo.com/. To learn more about our career opportunities, visit our careers page at http://jobs.lenovo.com/.
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Lenovo CyberSecurity News
February 18, 2026 08:00 AM
Lenovo Expands Global R&D Footprint with New AI Innovation Centers and a Digital Trust Lab
Lenovo is expanding its global Research & Development (R&D) capabilities by adding new facilities in the Europe, Middle East,...
February 17, 2026 08:00 AM
US Law Firm Accuses Lenovo of Bulk Data Transfers to China
The lawsuit explicitly connects these alleged transfers to Executive Order 14117's implementing framework, arguing that cross-border access to...
January 09, 2026 08:00 AM
Lenovo Makes a Splash at CES; Debuts Tech World with Major Device and AI Infrastructure Announcements
Key announcements from Lenovo AI TechWorld at CES 2026, covering the QIRA AI agent, AI PCs, and the NVIDIA AI Cloud Gigafactory.
December 11, 2025 08:00 AM
IT Leaders Face New Era of AI-Powered Cyber Threats
Lenovo reveals 65% of IT leaders say current architecture fails against AI threats, urging defences for endpoints, identities and AI...
November 29, 2025 08:00 AM
“There's no such thing as 100% - we just try and raise the bar” - we hear what it takes to help secure the world’s largest PC maker from the man in charge of Lenovo’s AI and security
AI can be a dual-edged sword when it comes to security, Lenovo chief tells us.
November 25, 2025 08:00 AM
Lenovo Q2 FY 2026 Earnings Highlight Hybrid AI Mix Gains
Lenovo Q2 FY 2026 shows AI growth across PCs, servers, and services, with rising AI mix pointing to hybrid AI adoption ahead.
November 20, 2025 03:52 AM
Reinforcing the Modern Workplace
IT leaders are under pressure to transform the digital workplace and supercharge employee productivity with AI. But as security threats evolve,...
November 10, 2025 08:00 AM
Lenovo PCCW Solutions Brings Together 18 New Technology Partners to Launch "Next-Gen IT Ecosystem"
Combining Lenovo's global resources with LPS' local expertise, the Next-Gen ecosystem covers four key domains: application software,...
October 28, 2025 07:00 AM
Building a foundation of security and trust to lead the AI era
Doug Fisher on centering trust, from AI governance to our global supply chain, and from how we design products to how we protect data.
Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
Lenovo CyberSecurity History Information
Official Website of Lenovo
The official website of Lenovo is http://www.lenovo.com.
Lenovo’s AI-Generated Cybersecurity Score
According to Rankiteo, Lenovo’s AI-generated cybersecurity score is 787, reflecting their Fair security posture.
How many security badges does Lenovo’ have ?
According to Rankiteo, Lenovo currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Has Lenovo been affected by any supply chain cyber incidents ?
According to Rankiteo, Lenovo has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.
Does Lenovo have SOC 2 Type 1 certification ?
According to Rankiteo, Lenovo is not certified under SOC 2 Type 1.
Does Lenovo have SOC 2 Type 2 certification ?
According to Rankiteo, Lenovo does not hold a SOC 2 Type 2 certification.
Does Lenovo comply with GDPR ?
According to Rankiteo, Lenovo is not listed as GDPR compliant.
Does Lenovo have PCI DSS certification ?
According to Rankiteo, Lenovo does not currently maintain PCI DSS compliance.
Does Lenovo comply with HIPAA ?
According to Rankiteo, Lenovo is not compliant with HIPAA regulations.
Does Lenovo have ISO 27001 certification ?
According to Rankiteo,Lenovo is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Lenovo
Lenovo operates primarily in the IT Services and IT Consulting industry.
Number of Employees at Lenovo
Lenovo employs approximately 46,066 people worldwide.
Subsidiaries Owned by Lenovo
Lenovo presently has no subsidiaries across any sectors.
Lenovo’s LinkedIn Followers
Lenovo’s official LinkedIn profile has approximately 1,250,702 followers.
NAICS Classification of Lenovo
Lenovo is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.
Lenovo’s Presence on Crunchbase
Yes, Lenovo has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/lenovo.
Lenovo’s Presence on LinkedIn
Yes, Lenovo maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/lenovo.
Cybersecurity Incidents Involving Lenovo
As of March 28, 2026, Rankiteo reports that Lenovo has experienced 3 cybersecurity incidents.
Number of Peer and Competitor Companies
Lenovo has an estimated 39,816 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at Lenovo ?
Incident Types: The types of cybersecurity incidents that have occurred include Vulnerability.
How does Lenovo detect and respond to cybersecurity incidents ?
Detection and Response: The company detects and responds to cybersecurity incidents through an containment measures with remove the vulnerable file using powershell or command prompt, and remediation measures with use enterprise management tools like group policy preferences or sccm..
Incident Details
Can you provide details on each incident ?
Title: Lenovo Devices Targeted by BootKitty Linux UEFI Bootkit
Description: Lenovo devices running on vulnerable Insyde firmware were targeted by the BootKitty Linux UEFI bootkit exploiting the LogoFAIL flaws (CVE-2023-40238). BootKitty bypassed UEFI Secure Boot by injecting rogue certificates and exploiting vulnerabilities in UEFI image-parsing components through tampered BMP files. The bootkit was capable of disabling kernel signature verification, preloading malicious binaries, and targeting specific Ubuntu versions. Despite available security patches, many devices remained at risk. The incident served as a reminder of the dangers associated with unaddressed vulnerabilities and the importance of timely updates to safeguard devices in the field.
Type: UEFI Bootkit
Attack Vector: UEFI Secure Boot Bypass
Vulnerability Exploited: LogoFAIL flaws (CVE-2023-40238)
Threat Actor: BootKitty
Title: Lenovo Preloaded Windows Vulnerability
Description: A significant security vulnerability has been discovered in Lenovo’s preloaded Windows operating systems, where a writable file in the Windows directory enables attackers to bypass Microsoft’s AppLocker security framework.
Date Detected: 2019
Type: Vulnerability Exploitation
Attack Vector: Alternate Data Streams (ADS)
Vulnerability Exploited: Writable MFGSTAT.zip file with incorrect permissions
Title: Critical XSS Vulnerabilities in Lenovo’s AI-Powered Customer Support Chatbot 'Lena'
Description: Critical vulnerabilities were discovered in Lenovo’s AI-powered customer support chatbot, 'Lena' (powered by OpenAI’s GPT-4), allowing attackers to steal session cookies and potentially gain unauthorized access to customer support systems via a single malicious 400-character prompt. The flaw stemmed from improper input/output sanitization, enabling cross-site scripting (XSS) attacks by injecting malicious code through crafted prompts, which tricked the AI into generating harmful HTML content. The incident highlights security risks in poorly implemented AI chatbots as organizations rapidly adopt AI in enterprise environments.
Type: Vulnerability Exploitation
Attack Vector: Malicious Prompt Injection (400-character payload)
Vulnerability Exploited: Improper Input/Output Sanitization in AI Chatbot (XSS)
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.
How does the company identify the attack vectors used in incidents ?
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through AI Chatbot ('Lena') via Malicious Prompt.
Impact of the Incidents
What was the impact of each incident ?
Incident : UEFI Bootkit LEN001120824
Systems Affected: Lenovo devices
Incident : Vulnerability Exploitation LEN749070725
Systems Affected: All Lenovo machines with preloaded Windows
Incident : Vulnerability Exploitation LEN532082025
Data Compromised: Session cookies, Potential unauthorized access to customer support systems
Systems Affected: Lenovo AI Chatbot 'Lena' (GPT-4 Powered)
Operational Impact: Potential Unauthorized Access to Customer Support Systems
Brand Reputation Impact: High (Warning About AI Security Risks in Enterprise Adoption)
Identity Theft Risk: Potential (via Stolen Session Cookies)
What types of data are most commonly compromised in incidents ?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Session Cookies and .
Which entities were affected by each incident ?
Incident : Vulnerability Exploitation LEN749070725
Entity Name: Lenovo
Entity Type: Corporation
Industry: Technology
Incident : Vulnerability Exploitation LEN532082025
Entity Name: Lenovo
Entity Type: Corporation
Industry: Technology (Hardware/Software)
Location: Global (HQ: Hong Kong/China, Operations: Worldwide)
Size: Large (Multinational)
Response to the Incidents
What measures were taken in response to each incident ?
Incident : Vulnerability Exploitation LEN749070725
Containment Measures: Remove the vulnerable file using PowerShell or Command Prompt
Remediation Measures: Use enterprise management tools like Group Policy Preferences or SCCM
Data Breach Information
What type of data was compromised in each breach ?
Incident : Vulnerability Exploitation LEN532082025
Type of Data Compromised: Session cookies
Sensitivity of Data: High (Session Hijacking Risk)
Data Exfiltration: Potential (via XSS)
Personally Identifiable Information: Potential (via Session Cookies)
What measures does the company take to prevent data exfiltration ?
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Use enterprise management tools like Group Policy Preferences or SCCM, .
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 remove the vulnerable file using powershell or command prompt and .
Lessons Learned and Recommendations
What lessons were learned from each incident ?
Incident : UEFI Bootkit LEN001120824
Lessons Learned: The incident served as a reminder of the dangers associated with unaddressed vulnerabilities and the importance of timely updates to safeguard devices in the field.
Incident : Vulnerability Exploitation LEN749070725
Lessons Learned: The importance of comprehensive filesystem auditing when implementing AppLocker deployments.
Incident : Vulnerability Exploitation LEN532082025
Lessons Learned: The incident underscores the critical need for robust input/output sanitization in AI-powered systems, especially in customer-facing applications. Rapid AI adoption in enterprises must be accompanied by rigorous security testing to mitigate risks like XSS and prompt injection attacks.
What recommendations were made to prevent future incidents ?
Incident : Vulnerability Exploitation LEN749070725
Recommendations: Remove the vulnerable file using PowerShell or Command Prompt, Use enterprise management tools like Group Policy Preferences or SCCMRemove the vulnerable file using PowerShell or Command Prompt, Use enterprise management tools like Group Policy Preferences or SCCM
Incident : Vulnerability Exploitation LEN532082025
Recommendations: Implement strict input/output sanitization for AI chatbots to prevent XSS and prompt injection., Conduct regular security audits and penetration testing for AI systems, particularly those integrated with third-party models (e.g., GPT-4)., Adopt secure coding practices for AI/ML applications, including context-aware filtering for dynamic content generation., Monitor and limit the length/complexity of user prompts to mitigate injection risks., Educate developers and security teams on emerging AI-specific threats (e.g., prompt hacking, model manipulation).Implement strict input/output sanitization for AI chatbots to prevent XSS and prompt injection., Conduct regular security audits and penetration testing for AI systems, particularly those integrated with third-party models (e.g., GPT-4)., Adopt secure coding practices for AI/ML applications, including context-aware filtering for dynamic content generation., Monitor and limit the length/complexity of user prompts to mitigate injection risks., Educate developers and security teams on emerging AI-specific threats (e.g., prompt hacking, model manipulation).Implement strict input/output sanitization for AI chatbots to prevent XSS and prompt injection., Conduct regular security audits and penetration testing for AI systems, particularly those integrated with third-party models (e.g., GPT-4)., Adopt secure coding practices for AI/ML applications, including context-aware filtering for dynamic content generation., Monitor and limit the length/complexity of user prompts to mitigate injection risks., Educate developers and security teams on emerging AI-specific threats (e.g., prompt hacking, model manipulation).Implement strict input/output sanitization for AI chatbots to prevent XSS and prompt injection., Conduct regular security audits and penetration testing for AI systems, particularly those integrated with third-party models (e.g., GPT-4)., Adopt secure coding practices for AI/ML applications, including context-aware filtering for dynamic content generation., Monitor and limit the length/complexity of user prompts to mitigate injection risks., Educate developers and security teams on emerging AI-specific threats (e.g., prompt hacking, model manipulation).Implement strict input/output sanitization for AI chatbots to prevent XSS and prompt injection., Conduct regular security audits and penetration testing for AI systems, particularly those integrated with third-party models (e.g., GPT-4)., Adopt secure coding practices for AI/ML applications, including context-aware filtering for dynamic content generation., Monitor and limit the length/complexity of user prompts to mitigate injection risks., Educate developers and security teams on emerging AI-specific threats (e.g., prompt hacking, model manipulation).
What are the key lessons learned from past incidents ?
Key Lessons Learned: The key lessons learned from past incidents are The incident served as a reminder of the dangers associated with unaddressed vulnerabilities and the importance of timely updates to safeguard devices in the field.The importance of comprehensive filesystem auditing when implementing AppLocker deployments.The incident underscores the critical need for robust input/output sanitization in AI-powered systems, especially in customer-facing applications. Rapid AI adoption in enterprises must be accompanied by rigorous security testing to mitigate risks like XSS and prompt injection attacks.
References
Where can I find more information about each incident ?
Incident : Vulnerability Exploitation LEN749070725
Source: TrustedSec
Incident : Vulnerability Exploitation LEN532082025
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: TrustedSec, and Source: Cybernews.
Investigation Status
What is the current status of the investigation for each incident ?
Incident : Vulnerability Exploitation LEN532082025
Investigation Status: Disclosed by Cybernews Researchers (No Further Updates)
Initial Access Broker
How did the initial access broker gain entry for each incident ?
Incident : Vulnerability Exploitation LEN532082025
Entry Point: AI Chatbot ('Lena') via Malicious Prompt
High Value Targets: Customer Support Systems, Session Cookies,
Data Sold on Dark Web: Customer Support Systems, Session Cookies,
Post-Incident Analysis
What were the root causes and corrective actions taken for each incident ?
Incident : Vulnerability Exploitation LEN749070725
Root Causes: Incorrect file permissions on MFGSTAT.zip
Corrective Actions: Remove The Vulnerable File, Use Enterprise Management Tools For Systematic Removal,
Incident : Vulnerability Exploitation LEN532082025
Root Causes: Lack Of Input/Output Sanitization In Ai Chatbot, Over-Reliance On Third-Party Ai Model (Gpt-4) Without Adequate Security Controls, Insufficient Security Testing For Prompt Injection Vulnerabilities,
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: Remove The Vulnerable File, Use Enterprise Management Tools For Systematic Removal, .
Additional Questions
General Information
Who was the attacking group in the last incident ?
Last Attacking Group: The attacking group in the last incident was an BootKitty.
Incident Details
What was the most recent incident detected ?
Most Recent Incident Detected: The most recent incident detected was on 2019.
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 Session Cookies, Potential Unauthorized Access to Customer Support Systems and .
What was the most significant system affected in an incident ?
Most Significant System Affected: The most significant system affected in an incident was All Lenovo machines with preloaded Windows and Lenovo AI Chatbot 'Lena' (GPT-4 Powered).
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 Remove the vulnerable file using PowerShell or Command Prompt.
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 Potential Unauthorized Access to Customer Support Systems and Session Cookies.
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 The incident served as a reminder of the dangers associated with unaddressed vulnerabilities and the importance of timely updates to safeguard devices in the field., The importance of comprehensive filesystem auditing when implementing AppLocker deployments., The incident underscores the critical need for robust input/output sanitization in AI-powered systems, especially in customer-facing applications. Rapid AI adoption in enterprises must be accompanied by rigorous security testing to mitigate risks like XSS and prompt injection attacks.
What was the most significant recommendation implemented to improve cybersecurity ?
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Use enterprise management tools like Group Policy Preferences or SCCM, Remove the vulnerable file using PowerShell or Command Prompt, Monitor and limit the length/complexity of user prompts to mitigate injection risks., Educate developers and security teams on emerging AI-specific threats (e.g., prompt hacking, model manipulation)., Adopt secure coding practices for AI/ML applications, including context-aware filtering for dynamic content generation., Conduct regular security audits and penetration testing for AI systems, particularly those integrated with third-party models (e.g., GPT-4). and Implement strict input/output sanitization for AI chatbots to prevent XSS and prompt injection..
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 TrustedSec and Cybernews.
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 Disclosed by Cybernews Researchers (No Further Updates).
Initial Access Broker
What was the most recent entry point used by an initial access broker ?
Most Recent Entry Point: The most recent entry point used by an initial access broker was an AI Chatbot ('Lena') via Malicious Prompt.
Post-Incident Analysis
What was the most significant root cause identified in post-incident analysis ?
Most Significant Root Cause: The most significant root cause identified in post-incident analysis was Incorrect file permissions on MFGSTAT.zip, Lack of Input/Output Sanitization in AI ChatbotOver-reliance on Third-Party AI Model (GPT-4) Without Adequate Security ControlsInsufficient Security Testing for Prompt Injection Vulnerabilities.
What was the most significant corrective action taken based on post-incident analysis ?
Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was Remove the vulnerable fileUse enterprise management tools for systematic removal.
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Latest Global CVEs (Not Company-Specific)
Description
A flaw has been found in wandb OpenUI up to 1.0. This affects the function create_share/get_share of the file backend/openui/server.py of the component HTMLAnnotator Component. Executing a manipulation of the argument ID can lead to HTML injection. The attack may be performed from remote. The exploit has been published and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
Risk Information
cvss2
Base: 5.0
Severity: LOW
AV:N/AC:L/Au:N/C:N/I:P/A:N
cvss3
Base: 4.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N
cvss4
Base: 5.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/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 vulnerability was detected in QDOCS Smart School Management System up to 7.2. The impacted element is an unknown function of the file /admin/enquiry of the component Admission Enquiry Module. Performing a manipulation of the argument Note results in cross site scripting. The attack is possible to be carried out remotely.
Risk Information
cvss2
Base: 4.0
Severity: LOW
AV:N/AC:L/Au:S/C:N/I:P/A:N
cvss3
Base: 3.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:L/A:N
cvss4
Base: 5.1
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:L/VA:N/SC:N/SI:N/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
The Ultimate Member plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 2.11.2. This is due to the '{usermeta:password_reset_link}' template tag being processed within post content via the '[um_loggedin]' shortcode, which generates a valid password reset token for the currently logged-in user viewing the page. This makes it possible for authenticated attackers, with Contributor-level access and above, to craft a malicious pending post that, when previewed by an Administrator, generates a password reset token for the Administrator and exfiltrates it to an attacker-controlled server, leading to full account takeover.
Risk Information
cvss3
Base: 8.0
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H
References
- https://github.com/ultimatemember/ultimatemember/pull/1799
- https://plugins.trac.wordpress.org/browser/ultimate-member/tags/2.11.2/includes/um-short-functions.php#L205
- https://plugins.trac.wordpress.org/changeset/3492178/ultimate-member/trunk/includes/um-short-functions.php
- https://www.wordfence.com/threat-intel/vulnerabilities/id/baafd001-144d-4ee4-b7e6-28c0931e6e10?source=cve
Description
LibJWT is a C JSON Web Token Library. Starting in version 3.0.0 and prior to version 3.3.0, the JWK parsing for RSA-PSS did not protect against a NULL value when expecting to parse JSON string values. A specially crafted JWK file could exploit this behavior by using integers in places where the code expected a string. This was fixed in v3.3.0. A workaround is available. Users importing keys through a JWK file should not do so from untrusted sources. Use the `jwk2key` tool to check for validity of a JWK file. Likewise, if possible, do not use JWK files with RSA-PSS keys.
Risk Information
cvss4
Base: 5.8
Severity: HIGH
CVSS:4.0/AV:A/AC:H/AT:P/PR:N/UI:A/VC:L/VI:L/VA:H/SC:L/SI:L/SA:L/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
Locutus brings stdlibs of other programming languages to JavaScript for educational purposes. Starting in version 2.0.39 and prior to version 3.0.25, a prototype pollution vulnerability exists in the `parse_str` function of the npm package locutus. An attacker can pollute `Object.prototype` by overriding `RegExp.prototype.test` and then passing a crafted query string to `parse_str`, bypassing the prototype pollution guard. This vulnerability stems from an incomplete fix for CVE-2026-25521. The CVE-2026-25521 patch replaced the `String.prototype.includes()`-based guard with a `RegExp.prototype.test()`-based guard. However, `RegExp.prototype.test` is itself a writable prototype method that can be overridden, making the new guard bypassable in the same way as the original — trading one hijackable built-in for another. Version 3.0.25 contains an updated fix.
Risk Information
cvss4
Base: 6.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/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
References
- https://github.com/locutusjs/locutus/commit/345a6211e1e6f939f96a7090bfeff642c9fcf9e4
- https://github.com/locutusjs/locutus/pull/597
- https://github.com/locutusjs/locutus/releases/tag/v3.0.25
- https://github.com/locutusjs/locutus/security/advisories/GHSA-vc8f-x9pp-wf5p
- https://github.com/locutusjs/locutus/security/advisories/GHSA-vc8f-x9pp-wf5p
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