OpenText
Company Details
Linkedin ID:
opentext
Website:
Employees number:
23,269
Number of followers:
520,257
NAICS:
5112
Industry Type:
Homepage:
opentext.com
IP Addresses:
0
Company ID:
OPE_6052516
Scan Status:
In-progress
Internal validation & live display
Multiple badges & continuous verification
Faster underwriting decisions
OpenText Vendor Cyber Rating & Cyber Score
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.
OpenText A.I CyberSecurity Scoring
OpenText Risk Score (AI oriented)Between 650 and 699
OpenText
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- 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
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.
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 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)
No incidents recorded for OpenText in 2026.
Incidents vs All-Companies Average (This Year)
No incidents recorded for OpenText in 2026.
Incident Types OpenText vs Software Development Industry Avg (This Year)
No incidents recorded for OpenText in 2026.
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
March 24, 2026 08:30 AM
OpenText study warns of AI security & governance gap
OpenText has published research with the Ponemon Institute indicating that many organisations are deploying generative AI without matching...
March 24, 2026 07:21 AM
Enterprises Rush into GenAI Without Security Foundations, OpenText-Ponemon Study Finds
OpenText today released a new global report, “Managing Risks and Optimizing the Value of AI, GenAI & Agentic AI,” developed in partnership with the Ponemon...
March 20, 2026 07:00 AM
OpenText Launches Cloud Editions 25.3 with AI, Cloud, and Cybersecurity Enhancements
WATERLOO, Ontario, July 22, 2025 — OpenText today announced the launch of its Cloud Editions (CE) 25.3, a major release that redefines how...
February 06, 2026 08:00 AM
AI Adoption in Healthcare Doubles, But Cybersecurity Risks Loom Large
AI adoption in healthcare has doubled, but risks are rising. Scott Lundstrom explains why security and governance are the keys to successful...
February 04, 2026 10:07 PM
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A guide to AI AppSec
AI AppSec can save you 50000 hours (2080 days) saved and deliver a productivity gain of 29 full-time employees. See how OpenText does it.
January 19, 2026 08:00 AM
What you didn’t know your OpenText Endpoint Investigator (EnCase) could do
Empower your DFIR teams to respond faster, before the damage is done with OpenText Endpoint Forensics & Response (EnCase).
January 14, 2026 08:00 AM
AI's 2026 security fallout: identity chaos & deepfake fear
Grayson Milbourne, Security Intelligence Director, OpenText Cybersecurity. Relaxed Agentic AI Access will Trigger the Next Identity Crisis:...
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 680, 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.
Has OpenText been affected by any supply chain cyber incidents ?
According to Rankiteo, OpenText has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed 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 23,269 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 520,257 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 April 02, 2026, Rankiteo reports that OpenText has experienced 2 cybersecurity incidents.
Number of Peer and Competitor Companies
OpenText has an estimated 29,306 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 Ransomware.
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., Implement formal AI governance frameworks to align productivity gains with security/privacy risks., 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., Strengthen third-party risk management, including rigorous cybersecurity assessments of suppliers and managed service providers. 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 ETCISO Article on OpenText Survey Findings and OpenText Global Ransomware Survey (4th Annual).
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
A security flaw has been discovered in itsourcecode Payroll Management System 1.0. Affected by this vulnerability is an unknown functionality of the file /manage_user.php of the component Parameter Handler. Performing a manipulation of the argument ID results in sql injection. The attack is possible to be carried out remotely. The exploit has been released to the public and may be used for attacks.
Risk Information
cvss2
Base: 7.5
Severity: LOW
AV:N/AC:L/Au:N/C:P/I:P/A:P
cvss3
Base: 7.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
cvss4
Base: 6.9
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description
A vulnerability was identified in Axiomatic Bento4 up to 1.6.0-641. Affected is the function AP4_BitReader::SkipBits of the file Ap4Dac4Atom.cpp of the component DSI v1 Parser. Such manipulation of the argument n_presentations leads to heap-based buffer overflow. The attack needs to be performed locally. The exploit is publicly available and might be used. The project was informed of the problem early through an issue report but has not responded yet.
Risk Information
cvss2
Base: 4.3
Severity: LOW
AV:L/AC:L/Au:S/C:P/I:P/A:P
cvss3
Base: 5.3
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
cvss4
Base: 4.8
Severity: LOW
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description
A vulnerability was determined in Axiomatic Bento4 up to 1.6.0-641. This impacts the function AP4_BitReader::ReadCache of the file Ap4Dac4Atom.cpp of the component MP4 File Parser. This manipulation causes heap-based buffer overflow. The attack needs to be launched locally. The exploit has been publicly disclosed and may be utilized. The project was informed of the problem early through an issue report but has not responded yet.
Risk Information
cvss2
Base: 4.3
Severity: LOW
AV:L/AC:L/Au:S/C:P/I:P/A:P
cvss3
Base: 5.3
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
cvss4
Base: 4.8
Severity: LOW
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description
iccDEV provides a set of libraries and tools for working with ICC color management profiles. Prior to version 2.3.1.6, there is a heap-buffer-overflow (HBO) in icAnsiToUtf8() in the XML conversion path. The issue is triggered by a crafted ICC profile which causes icAnsiToUtf8(std::string&, char const*) to treat an input buffer as a C-string and call operations that rely on strlen()/null-termination. AddressSanitizer reports an out-of-bounds READ of size 115 past a 114-byte heap allocation, with the failure observed while running the iccToXml tool. This issue has been patched in version 2.3.1.6.
Risk Information
cvss3
Base: 6.2
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description
iccDEV provides a set of libraries and tools for working with ICC color management profiles. Prior to version 2.3.1.6, there is a stack-buffer-overflow (SBO) in CIccTagFixedNum<>::GetValues() and a related bug chain. The primary crash is an AddressSanitizer-reported WRITE of size 4 that overflows a 4-byte stack variable (rv) via the call chain CIccTagFixedNum::GetValues() -> CIccTagStruct::GetElemNumberValue(). This issue has been patched in version 2.3.1.6.
Risk Information
cvss3
Base: 6.2
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
References
- https://github.com/InternationalColorConsortium/iccDEV/issues/696
- https://github.com/InternationalColorConsortium/iccDEV/issues/697
- https://github.com/InternationalColorConsortium/iccDEV/issues/698
- https://github.com/InternationalColorConsortium/iccDEV/issues/703
- https://github.com/InternationalColorConsortium/iccDEV/pull/739
- https://github.com/InternationalColorConsortium/iccDEV/security/advisories/GHSA-983c-rgh5-4982
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