Company Details
opentext
23,269
520,257
5112
opentext.com
0
OPE_6052516
In-progress


OpenText Company CyberSecurity Posture
opentext.comOpenText 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.
Company Details
opentext
23,269
520,257
5112
opentext.com
0
OPE_6052516
In-progress
Between 650 and 699

OpenText Global Score (TPRM)XXXX

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.
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.


No incidents recorded for OpenText in 2026.
No incidents recorded for OpenText in 2026.
No incidents recorded for OpenText in 2026.
OpenText cyber incidents detection timeline including parent company and 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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Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of OpenText is https://www.opentext.com.
According to Rankiteo, OpenText’s AI-generated cybersecurity score is 682, reflecting their Weak security posture.
According to Rankiteo, OpenText currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, OpenText has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.
According to Rankiteo, OpenText is not certified under SOC 2 Type 1.
According to Rankiteo, OpenText does not hold a SOC 2 Type 2 certification.
According to Rankiteo, OpenText is not listed as GDPR compliant.
According to Rankiteo, OpenText does not currently maintain PCI DSS compliance.
According to Rankiteo, OpenText is not compliant with HIPAA regulations.
According to Rankiteo,OpenText is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
OpenText operates primarily in the Software Development industry.
OpenText employs approximately 23,269 people worldwide.
OpenText presently has no subsidiaries across any sectors.
OpenText’s official LinkedIn profile has approximately 520,257 followers.
OpenText is classified under the NAICS code 5112, which corresponds to Software Publishers.
No, OpenText does not have a profile on Crunchbase.
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.
As of January 21, 2026, Rankiteo reports that OpenText has experienced 2 cybersecurity incidents.
OpenText has an estimated 28,125 peer or competitor companies worldwide.
Incident Types: The types of cybersecurity incidents that have occurred include Ransomware and Breach.
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)..
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
Common Attack Types: The most common types of attacks the company has faced is Ransomware.
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through third-party service providerssoftware supply chainAI-driven phishing/deepfake attacks.

Data Compromised: User Data
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 .

Entity Name: Carbonite
Entity Type: Service Provider
Industry: Technology
Size: More than 1.5 million customers
Customers Affected: 1.5 million

Entity Name: Indian Enterprises (Survey Respondents)
Entity Type: private sector, public sector (if applicable)
Industry: technology, financial services, manufacturing, others (unspecified)
Location: India

Containment Measures: Forced password reset
Communication Strategy: Customer notification

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)
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%), .

Type of Data Compromised: User Credentials

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
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), .
Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through by forced password reset.

Ransom Paid: 70% of affected organizations
Data Encryption: True
Data Exfiltration: True
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: 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.

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.
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.

Source: OpenText Global Ransomware Survey (4th Annual)

Source: ETCISO Article on OpenText Survey Findings
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: Survey-based findings (no specific incident investigation detailed)
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Customer notification.

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..
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..

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,

Root Causes: Password Reuse
Corrective Actions: Forced password reset

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.,
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%), .
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., .
Ransom Payment History: The company has Paid ransoms in the past.
Last Attacking Group: The attacking group in the last incident was an Third-party attacker.
Most Significant Data Compromised: The most significant data compromised in an incident were User Data and .
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%), .
Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident was Forced password reset.
Most Sensitive Data Compromised: The most sensitive data compromised in a breach was User Data.
Highest Ransom Paid: The highest ransom paid in a ransomware incident was 70% of affected organizations.
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.
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Expand security awareness training to include AI-specific threats (e.g., deepfakes, generative AI misuse)., 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., 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. and Enhance ransomware recovery testing frequency and realism to close the gap between perceived and actual resilience..
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.
Current Status of Most Recent Investigation: The current status of the most recent investigation is Survey-based findings (no specific incident investigation detailed).
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., .
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..
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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SummaryA command injection vulnerability (CWE-78) has been found to exist in the `wrangler pages deploy` command. The issue occurs because the `--commit-hash` parameter is passed directly to a shell command without proper validation or sanitization, allowing an attacker with control of `--commit-hash` to execute arbitrary commands on the system running Wrangler. Root causeThe commitHash variable, derived from user input via the --commit-hash CLI argument, is interpolated directly into a shell command using template literals (e.g., execSync(`git show -s --format=%B ${commitHash}`)). Shell metacharacters are interpreted by the shell, enabling command execution. ImpactThis vulnerability is generally hard to exploit, as it requires --commit-hash to be attacker controlled. The vulnerability primarily affects CI/CD environments where `wrangler pages deploy` is used in automated pipelines and the --commit-hash parameter is populated from external, potentially untrusted sources. An attacker could exploit this to: * Run any shell command. * Exfiltrate environment variables. * Compromise the CI runner to install backdoors or modify build artifacts. Credits Disclosed responsibly by kny4hacker. Mitigation * Wrangler v4 users are requested to upgrade to Wrangler v4.59.1 or higher. * Wrangler v3 users are requested to upgrade to Wrangler v3.114.17 or higher. * Users on Wrangler v2 (EOL) should upgrade to a supported major version.
Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.2 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H).
Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle VM VirtualBox accessible data as well as unauthorized access to critical data or complete access to all Oracle VM VirtualBox accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.1 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:L).
Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.2 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H).
Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.2 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H).

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