OpenText
Company Details
Linkedin ID:
opentext
Website:
Employees number:
22,020
Number of followers:
513,471
NAICS:
5112
Industry Type:
Homepage:
opentext.com
IP Addresses:
0
Company ID:
OPE_6052516
Scan Status:
In-progress
OpenText Company CyberSecurity Posture
opentext.com
OpenText is a leading Cloud and AI company that provides organizations around the world with a comprehensive suite of Business AI, Business Clouds, and Business Technology. We help organizations grow, innovate, become more efficient and effective, and do so in a trusted and secure way—through Information Management. OpenText (NASDAQ/TSX: OTEX), founded in 1991 in Waterloo, has a rich history of helping customers manage their most important asset—information. Originating from a collaboration to digitize the Oxford English Dictionary, OpenText has grown into a global leader in information management. With over 120,000 enterprise customers across 180 countries, OpenText supports 98 of the top 100 global companies. A wide breadth of offerings uniquely positions OpenText to help customers unlock the value of that information using Al, cloud, and security innovations. At OpenText, our culture is at the heart of everything we do—and today, that includes being proudly AI-first. We’re creating a workplace where everyone can thrive, with artificial intelligence integrated into how we work, solve problems, and innovate together. By fostering a collaborative and inclusive environment, we empower digital knowledge workers and drive forward-thinking solutions that shape the future of information management. We believe our success comes from the strength of our team—talent that AI can’t replace—and we’re committed to attracting and supporting those who bring unique insight, adaptability, and creativity. Because at OpenText, people aren’t just our greatest asset—they’re the reason we shine in an AI-powered world. Join us at OpenText and become part of a team where your talents and ideas are truly valued.
OpenText A.I CyberSecurity Scoring
OpenText Risk Score (AI oriented)Between 650 and 699
OpenText
Updated:
- Powered by our proprietary A.I cyber incident model
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OpenText Global Score (TPRM)XXXX
OpenText
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
OpenText Company CyberSecurity News & History
Past Incidents
2
Attack Types
2
Carbonite
Breach
Rankiteo Explanation
Attack with significant impact with customers data leaks
Description: Carbonite, a provider of online computer and server backup services suffered a password reuse attack in which some users’ credentials, obtained elsewhere, were used to obtain user data. The company notified its more than 1.5 million individual and small business customers and forced them to password reset. The attack was a result of a third-party attacker using compromised email addresses and passwords obtained from other companies that were previously attacked.
OpenText (Indian Enterprises - Survey Context)
Ransomware
Rankiteo Explanation
Attack threatening the organization’s existence
Description: Over half of Indian enterprises surveyed by OpenText faced **ransomware attacks** in the past year, with **71% reporting AI-driven phishing or deepfake attempts**, marking India as a highly targeted region. **70% of affected organizations paid ransoms** to regain data access—one of the highest global rates—yet only **12% fully recovered encrypted/stolen data**, exposing a critical gap between perceived resilience and actual recovery capabilities. Attacks increasingly exploited **third-party vendors or supply chains**, with **63% of organizations impacted by breaches via managed service providers**. Despite proactive measures like **cloud security (68%), network protection (60%), and backup technologies (58%)**, heavy reliance on external ecosystems amplified cascading risks. The financial and operational strain was compounded by **AI-enabled threats (deepfakes, voice/video spoofing)**, with **95% of firms allowing generative AI tools** but only **50% having formal AI governance policies**. Ransomware is now a **board-level priority (84% of execs rank it a top-3 risk)**, yet recovery tests (76% conduct multi-annual drills) and employee training (80% participation) have not prevented persistent data loss and operational disruption.
OpenText 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 OpenText
Incidents vs Software Development Industry Average (This Year)
OpenText has 127.27% more incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs All-Companies Average (This Year)
OpenText has 56.25% more incidents than the average of all companies with at least one recorded incident.
Incident Types OpenText vs Software Development Industry Avg (This Year)
OpenText reported 1 incidents this year: 0 cyber attacks, 1 ransomware, 0 vulnerabilities, 0 data breaches, compared to industry peers with at least 1 incident.
Incident History — OpenText (X = Date, Y = Severity)
OpenText cyber incidents detection timeline including parent company and subsidiaries
OpenText Company Subsidiaries
OpenText is a leading Cloud and AI company that provides organizations around the world with a comprehensive suite of Business AI, Business Clouds, and Business Technology. We help organizations grow, innovate, become more efficient and effective, and do so in a trusted and secure way—through Information Management. OpenText (NASDAQ/TSX: OTEX), founded in 1991 in Waterloo, has a rich history of helping customers manage their most important asset—information. Originating from a collaboration to digitize the Oxford English Dictionary, OpenText has grown into a global leader in information management. With over 120,000 enterprise customers across 180 countries, OpenText supports 98 of the top 100 global companies. A wide breadth of offerings uniquely positions OpenText to help customers unlock the value of that information using Al, cloud, and security innovations. At OpenText, our culture is at the heart of everything we do—and today, that includes being proudly AI-first. We’re creating a workplace where everyone can thrive, with artificial intelligence integrated into how we work, solve problems, and innovate together. By fostering a collaborative and inclusive environment, we empower digital knowledge workers and drive forward-thinking solutions that shape the future of information management. We believe our success comes from the strength of our team—talent that AI can’t replace—and we’re committed to attracting and supporting those who bring unique insight, adaptability, and creativity. Because at OpenText, people aren’t just our greatest asset—they’re the reason we shine in an AI-powered world. Join us at OpenText and become part of a team where your talents and ideas are truly valued.
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OpenText CyberSecurity News
November 19, 2025 05:37 AM
Business Overconfidence Increases Ransomware Risk In Australia – OpenText
Western Australian Premier, Roger Cook, and mining billionaire, Andrew Forrest, have become the latest victims of Ai-generated deepfake...
November 19, 2025 12:18 AM
Practical Enterprise AI: A Unified Innovation Roadmap Across OpenText Businesses
At OpenText World this week, we look ahead to the next chapter of innovation for all our business units. From content to cybersecurity,...
November 13, 2025 07:05 PM
Secure Identity, Smarter Access: What to Expect from IAM at OpenText World 2025
Secure identity is the new perimeter to protect your organization. Learn how to do it at in the IAM session track at OpenText World.
November 06, 2025 08:00 AM
OpenText Cybersecurity 2025 Global Ransomware Survey: Confidence Up, Recovery Down
The OpenText Global Ransomware Report explores how companies are responding to new pressures, including the growing use of AI.
November 05, 2025 03:00 AM
A Fresh Look at Open Text (NasdaqGS:OTEX) Valuation After New AI Cybersecurity and Compliance Launches
Open Text (NasdaqGS:OTEX) just announced enhanced cybersecurity capabilities designed to embed AI directly into enterprise security...
November 03, 2025 08:00 AM
Nearly half of Indian firms faced ransomware in 2024, says OpenText
OpenText, a global leader in secure information management for AI, today released new findings from its fourth annual Global Ransomware...
November 02, 2025 07:00 AM
What OpenText (OTEX)'s AI-Integrated Cybersecurity Launch Means for Shareholders
In late October 2025, OpenText announced new AI-embedded cybersecurity capabilities aimed at helping enterprises unify their defenses across...
October 31, 2025 09:56 AM
Beware the nastiest malware of 2025
October is Cybersecurity Awareness Month, an ideal moment to take stock of the evolving digital threats shaping our world.
October 30, 2025 07:00 AM
Turning Risk into Revenue: OpenText Cybersecurity empowers channel growth through cyber resilience
Asia Pacific (APAC) remains the most attacked region—Statista found that it accounts for roughly one-third of all global cyberattacks—in...
Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
OpenText CyberSecurity History Information
Official Website of OpenText
The official website of OpenText is https://www.opentext.com.
OpenText’s AI-Generated Cybersecurity Score
According to Rankiteo, OpenText’s AI-generated cybersecurity score is 682, reflecting their Weak security posture.
How many security badges does OpenText’ have ?
According to Rankiteo, OpenText currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does OpenText have SOC 2 Type 1 certification ?
According to Rankiteo, OpenText is not certified under SOC 2 Type 1.
Does OpenText have SOC 2 Type 2 certification ?
According to Rankiteo, OpenText does not hold a SOC 2 Type 2 certification.
Does OpenText comply with GDPR ?
According to Rankiteo, OpenText is not listed as GDPR compliant.
Does OpenText have PCI DSS certification ?
According to Rankiteo, OpenText does not currently maintain PCI DSS compliance.
Does OpenText comply with HIPAA ?
According to Rankiteo, OpenText is not compliant with HIPAA regulations.
Does OpenText have ISO 27001 certification ?
According to Rankiteo,OpenText is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of OpenText
OpenText operates primarily in the Software Development industry.
Number of Employees at OpenText
OpenText employs approximately 22,020 people worldwide.
Subsidiaries Owned by OpenText
OpenText presently has no subsidiaries across any sectors.
OpenText’s LinkedIn Followers
OpenText’s official LinkedIn profile has approximately 513,471 followers.
NAICS Classification of OpenText
OpenText is classified under the NAICS code 5112, which corresponds to Software Publishers.
OpenText’s Presence on Crunchbase
No, OpenText does not have a profile on Crunchbase.
OpenText’s Presence on LinkedIn
Yes, OpenText maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/opentext.
Cybersecurity Incidents Involving OpenText
As of November 27, 2025, Rankiteo reports that OpenText has experienced 2 cybersecurity incidents.
Number of Peer and Competitor Companies
OpenText has an estimated 26,596 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at OpenText ?
Incident Types: The types of cybersecurity incidents that have occurred include Ransomware and Breach.
How does OpenText detect and respond to cybersecurity incidents ?
Detection and Response: The company detects and responds to cybersecurity incidents through an containment measures with forced password reset, and communication strategy with customer notification, and and third party assistance with managed service providers (83% of organizations), third party assistance with cybersecurity assessments of software suppliers (91%), and remediation measures with cloud security enhancements (68% priority), remediation measures with network protection (60% priority), remediation measures with backup technologies (58% priority), and recovery measures with ransomware recovery plan testing (76% test multiple times/year), recovery measures with security awareness training (80% conduct regularly)..
Incident Details
Can you provide details on each incident ?
Title: Password Reuse Attack on Carbonite
Description: Carbonite, a provider of online computer and server backup services, suffered a password reuse attack in which some users’ credentials, obtained elsewhere, were used to obtain user data. The company notified its more than 1.5 million individual and small business customers and forced them to password reset. The attack was a result of a third-party attacker using compromised email addresses and passwords obtained from other companies that were previously attacked.
Type: Password Reuse Attack
Attack Vector: Compromised Credentials
Vulnerability Exploited: Password Reuse
Threat Actor: Third-party attacker
Motivation: Data Theft
Title: Ransomware and AI-Driven Cyber Threats Targeting Indian Enterprises (2023-2024)
Description: OpenText's fourth annual Global Ransomware Survey reveals that over 50% of Indian enterprises faced ransomware attacks in the past year, with 71% reporting a surge in AI-driven phishing or deepfake attempts. Nearly 70% of affected organizations paid ransoms, yet only 12% fully recovered encrypted or stolen data. The report highlights gaps in AI governance, third-party risks, and the escalating complexity of attacks, including supply chain breaches. Indian organizations are prioritizing cloud security, network protection, and backup technologies for 2026, with 84% of executive teams now treating ransomware as a top-three business risk.
Type: ransomware
Attack Vector: AI-driven phishingdeepfake (voice/video spoofing)third-party service providerssoftware supply chain
Vulnerability Exploited: insufficient AI governancethird-party ecosystem dependencieslack of formal AI-use/data privacy policies
Motivation: financial gain (ransom payments)data theftdisruption of operations
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.
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 third-party service providerssoftware supply chainAI-driven phishing/deepfake attacks.
Impact of the Incidents
What was the impact of each incident ?
Incident : Password Reuse Attack CAR1914123
Data Compromised: User Data
What types of data are most commonly compromised in incidents ?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are User Credentials, Personally Identifiable Information (Likely), Corporate Data, Financial Data (Possible) and .
Which entities were affected by each incident ?
Incident : Password Reuse Attack CAR1914123
Entity Name: Carbonite
Entity Type: Service Provider
Industry: Technology
Size: More than 1.5 million customers
Customers Affected: 1.5 million
Incident : ransomware OPE0062100110625
Entity Name: Indian Enterprises (Survey Respondents)
Entity Type: private sector, public sector (if applicable)
Industry: technology, financial services, manufacturing, others (unspecified)
Location: India
Response to the Incidents
What measures were taken in response to each incident ?
Incident : Password Reuse Attack CAR1914123
Containment Measures: Forced password reset
Communication Strategy: Customer notification
Incident : ransomware OPE0062100110625
Incident Response Plan Activated: True
Third Party Assistance: Managed Service Providers (83% Of Organizations), Cybersecurity Assessments Of Software Suppliers (91%).
Remediation Measures: cloud security enhancements (68% priority)network protection (60% priority)backup technologies (58% priority)
Recovery Measures: ransomware recovery plan testing (76% test multiple times/year)security awareness training (80% conduct regularly)
How does the company involve third-party assistance in incident response ?
Third-Party Assistance: The company involves third-party assistance in incident response through managed service providers (83% of organizations), cybersecurity assessments of software suppliers (91%), .
Data Breach Information
What type of data was compromised in each breach ?
Incident : Password Reuse Attack CAR1914123
Type of Data Compromised: User Credentials
Incident : ransomware OPE0062100110625
Type of Data Compromised: Personally identifiable information (likely), Corporate data, Financial data (possible)
Sensitivity of Data: high (includes potential PII and corporate secrets)
Data Encryption: True
What measures does the company take to prevent data exfiltration ?
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: cloud security enhancements (68% priority), network protection (60% priority), backup technologies (58% priority), .
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 forced password reset.
Ransomware Information
Was ransomware involved in any of the incidents ?
Incident : ransomware OPE0062100110625
Ransom Paid: 70% of affected organizations
Data Encryption: True
Data Exfiltration: True
How does the company recover data encrypted by ransomware ?
Data Recovery from Ransomware: The company recovers data encrypted by ransomware through ransomware recovery plan testing (76% test multiple times/year), security awareness training (80% conduct regularly), .
Lessons Learned and Recommendations
What lessons were learned from each incident ?
Incident : ransomware OPE0062100110625
Lessons Learned: AI adoption outpaces governance: 95% allow generative AI tools, but only ~50% have formal AI-use/data privacy policies., Third-party risks are critical: 66% of organizations impacted by vendor/managed services breaches in the past year., Recovery confidence is misplaced: 98.6% express confidence in recovery, but only 12% fully recover data post-attack., Board-level engagement is rising: 84% of Indian executives now rank ransomware as a top-three business risk (vs. 71% globally)., Collaboration is key: Effectiveness depends on shared responsibility across organizations, partners, and technology providers.
What recommendations were made to prevent future incidents ?
Incident : ransomware OPE0062100110625
Recommendations: Implement formal AI governance frameworks to align productivity gains with security/privacy risks., Strengthen third-party risk management, including rigorous cybersecurity assessments of suppliers and managed service providers., Enhance ransomware recovery testing frequency and realism to close the gap between perceived and actual resilience., Expand security awareness training to include AI-specific threats (e.g., deepfakes, generative AI misuse)., Prioritize investments in cloud security, network protection, and immutable backup solutions., Foster cross-ecosystem collaboration to address cascading risks in supply chains and shared infrastructure.Implement formal AI governance frameworks to align productivity gains with security/privacy risks., Strengthen third-party risk management, including rigorous cybersecurity assessments of suppliers and managed service providers., Enhance ransomware recovery testing frequency and realism to close the gap between perceived and actual resilience., Expand security awareness training to include AI-specific threats (e.g., deepfakes, generative AI misuse)., Prioritize investments in cloud security, network protection, and immutable backup solutions., Foster cross-ecosystem collaboration to address cascading risks in supply chains and shared infrastructure.Implement formal AI governance frameworks to align productivity gains with security/privacy risks., Strengthen third-party risk management, including rigorous cybersecurity assessments of suppliers and managed service providers., Enhance ransomware recovery testing frequency and realism to close the gap between perceived and actual resilience., Expand security awareness training to include AI-specific threats (e.g., deepfakes, generative AI misuse)., Prioritize investments in cloud security, network protection, and immutable backup solutions., Foster cross-ecosystem collaboration to address cascading risks in supply chains and shared infrastructure.Implement formal AI governance frameworks to align productivity gains with security/privacy risks., Strengthen third-party risk management, including rigorous cybersecurity assessments of suppliers and managed service providers., Enhance ransomware recovery testing frequency and realism to close the gap between perceived and actual resilience., Expand security awareness training to include AI-specific threats (e.g., deepfakes, generative AI misuse)., Prioritize investments in cloud security, network protection, and immutable backup solutions., Foster cross-ecosystem collaboration to address cascading risks in supply chains and shared infrastructure.Implement formal AI governance frameworks to align productivity gains with security/privacy risks., Strengthen third-party risk management, including rigorous cybersecurity assessments of suppliers and managed service providers., Enhance ransomware recovery testing frequency and realism to close the gap between perceived and actual resilience., Expand security awareness training to include AI-specific threats (e.g., deepfakes, generative AI misuse)., Prioritize investments in cloud security, network protection, and immutable backup solutions., Foster cross-ecosystem collaboration to address cascading risks in supply chains and shared infrastructure.Implement formal AI governance frameworks to align productivity gains with security/privacy risks., Strengthen third-party risk management, including rigorous cybersecurity assessments of suppliers and managed service providers., Enhance ransomware recovery testing frequency and realism to close the gap between perceived and actual resilience., Expand security awareness training to include AI-specific threats (e.g., deepfakes, generative AI misuse)., Prioritize investments in cloud security, network protection, and immutable backup solutions., Foster cross-ecosystem collaboration to address cascading risks in supply chains and shared infrastructure.
What are the key lessons learned from past incidents ?
Key Lessons Learned: The key lessons learned from past incidents are AI adoption outpaces governance: 95% allow generative AI tools, but only ~50% have formal AI-use/data privacy policies.,Third-party risks are critical: 66% of organizations impacted by vendor/managed services breaches in the past year.,Recovery confidence is misplaced: 98.6% express confidence in recovery, but only 12% fully recover data post-attack.,Board-level engagement is rising: 84% of Indian executives now rank ransomware as a top-three business risk (vs. 71% globally).,Collaboration is key: Effectiveness depends on shared responsibility across organizations, partners, and technology providers.
References
Where can I find more information about each incident ?
Incident : ransomware OPE0062100110625
Source: OpenText Global Ransomware Survey (4th Annual)
Incident : ransomware OPE0062100110625
Source: ETCISO Article on OpenText Survey Findings
Where can stakeholders find additional resources on cybersecurity best practices ?
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: OpenText Global Ransomware Survey (4th Annual), and Source: ETCISO Article on OpenText Survey Findings.
Investigation Status
What is the current status of the investigation for each incident ?
Incident : ransomware OPE0062100110625
Investigation Status: Survey-based findings (no specific incident investigation detailed)
How does the company communicate the status of incident investigations to stakeholders ?
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Customer notification.
Stakeholder and Customer Advisories
Were there any advisories issued to stakeholders or customers for each incident ?
Incident : ransomware OPE0062100110625
Stakeholder Advisories: Board-Level Engagement: 84% Of Indian Executives Treat Ransomware As A Top-Three Business Risk., Third-Party Advisories: 91% Conduct Formal Cybersecurity Assessments Of Software Suppliers..
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 Board-Level Engagement: 84% Of Indian Executives Treat Ransomware As A Top-Three Business Risk. and Third-Party Advisories: 91% Conduct Formal Cybersecurity Assessments Of Software Suppliers..
Initial Access Broker
How did the initial access broker gain entry for each incident ?
Incident : ransomware OPE0062100110625
Entry Point: Third-Party Service Providers, Software Supply Chain, Ai-Driven Phishing/Deepfake Attacks,
High Value Targets: Corporate Data, Financial Systems, Customer Pii,
Data Sold on Dark Web: Corporate Data, Financial Systems, Customer Pii,
Post-Incident Analysis
What were the root causes and corrective actions taken for each incident ?
Incident : Password Reuse Attack CAR1914123
Root Causes: Password Reuse
Corrective Actions: Forced password reset
Incident : ransomware OPE0062100110625
Root Causes: Rapid Ai Adoption Without Commensurate Governance (E.G., Lack Of Formal Ai-Use Policies)., Over-Reliance On Third-Party Ecosystems With Inadequate Security Oversight., Insufficient Testing Of Ransomware Recovery Plans (Gap Between Confidence And Actual Recovery Rates)., Expanding Attack Surface Due To Hybrid/Ai-Powered Environments.,
Corrective Actions: Accelerate Implementation Of Ai Governance Frameworks And Data Privacy Policies., Enhance Third-Party Risk Management Programs, Including Continuous Monitoring Of Suppliers., Increase Frequency And Rigor Of Ransomware Recovery Simulations., Invest In Advanced Threat Detection For Ai-Driven Attacks (E.G., Deepfake Identification Tools)., Promote Cross-Industry Collaboration To Address Systemic Vulnerabilities In Supply Chains.,
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 Managed Service Providers (83% Of Organizations), Cybersecurity Assessments Of Software Suppliers (91%), .
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: Forced password reset, Accelerate Implementation Of Ai Governance Frameworks And Data Privacy Policies., Enhance Third-Party Risk Management Programs, Including Continuous Monitoring Of Suppliers., Increase Frequency And Rigor Of Ransomware Recovery Simulations., Invest In Advanced Threat Detection For Ai-Driven Attacks (E.G., Deepfake Identification Tools)., Promote Cross-Industry Collaboration To Address Systemic Vulnerabilities In Supply Chains., .
Additional Questions
General Information
Has the company ever paid ransoms ?
Ransom Payment History: The company has Paid ransoms in the past.
Who was the attacking group in the last incident ?
Last Attacking Group: The attacking group in the last incident was an Third-party attacker.
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 User Data and .
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 managed service providers (83% of organizations), cybersecurity assessments of software suppliers (91%), .
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 Forced password reset.
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 was User Data.
Ransomware Information
What was the highest ransom paid in a ransomware incident ?
Highest Ransom Paid: The highest ransom paid in a ransomware incident was 70% of affected organizations.
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 Collaboration is key: Effectiveness depends on shared responsibility across organizations, partners, and technology providers.
What was the most significant recommendation implemented to improve cybersecurity ?
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Enhance ransomware recovery testing frequency and realism to close the gap between perceived and actual resilience., Strengthen third-party risk management, including rigorous cybersecurity assessments of suppliers and managed service providers., Implement formal AI governance frameworks to align productivity gains with security/privacy risks., Prioritize investments in cloud security, network protection, and immutable backup solutions., Expand security awareness training to include AI-specific threats (e.g., deepfakes, generative AI misuse). and Foster cross-ecosystem collaboration to address cascading risks in supply chains and shared infrastructure..
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 OpenText Global Ransomware Survey (4th Annual) and ETCISO Article on OpenText Survey Findings.
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 Survey-based findings (no specific incident investigation detailed).
Stakeholder and Customer Advisories
What was the most recent stakeholder advisory issued ?
Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was Board-level engagement: 84% of Indian executives treat ransomware as a top-three business risk., Third-party advisories: 91% conduct formal cybersecurity assessments of software suppliers., .
Initial Access Broker
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 Password Reuse, Rapid AI adoption without commensurate governance (e.g., lack of formal AI-use policies).Over-reliance on third-party ecosystems with inadequate security oversight.Insufficient testing of ransomware recovery plans (gap between confidence and actual recovery rates).Expanding attack surface due to hybrid/AI-powered environments..
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 Forced password reset, Accelerate implementation of AI governance frameworks and data privacy policies.Enhance third-party risk management programs, including continuous monitoring of suppliers.Increase frequency and rigor of ransomware recovery simulations.Invest in advanced threat detection for AI-driven attacks (e.g., deepfake identification tools).Promote cross-industry collaboration to address systemic vulnerabilities in supply chains..
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Latest Global CVEs (Not Company-Specific)
Description
Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.
Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/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
References
- https://github.com/angular/angular/commit/0276479e7d0e280e0f8d26fa567d3b7aa97a516f
- https://github.com/angular/angular/commit/05fe6686a97fa0bcd3cf157805b3612033f975bc
- https://github.com/angular/angular/commit/3240d856d942727372a705252f7c8c115394a41e
- https://github.com/angular/angular/releases/tag/19.2.16
- https://github.com/angular/angular/releases/tag/20.3.14
- https://github.com/angular/angular/releases/tag/21.0.1
- https://github.com/angular/angular/security/advisories/GHSA-58c5-g7wp-6w37
Description
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/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
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.
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: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
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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