Carbonite
Company Details
Linkedin ID:
carbonite
Website:
Employees number:
226
Number of followers:
22,077
NAICS:
5112
Industry Type:
Homepage:
carbonite.com
IP Addresses:
0
Company ID:
CAR_2769997
Scan Status:
In-progress
Carbonite Company CyberSecurity Posture
carbonite.com
Carbonite provides a robust Data Protection Platform for businesses, including backup, disaster recovery, high availability and workload migration technology. The Carbonite Data Protection Platform supports any size business, in locations around the world with secure and scalable global cloud infrastructure. To learn more visit www.Carbonite.com.
Carbonite A.I CyberSecurity Scoring
Carbonite Risk Score (AI oriented)Between 700 and 749
Carbonite
Updated:
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Carbonite Global Score (TPRM)XXXX
Carbonite
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
Carbonite 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.
Carbonite 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 Carbonite
Incidents vs Software Development Industry Average (This Year)
No incidents recorded for Carbonite in 2026.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Carbonite in 2026.
Incident Types Carbonite vs Software Development Industry Avg (This Year)
No incidents recorded for Carbonite in 2026.
Incident History — Carbonite (X = Date, Y = Severity)
Carbonite cyber incidents detection timeline including parent company and subsidiaries
Carbonite Company Subsidiaries
Carbonite provides a robust Data Protection Platform for businesses, including backup, disaster recovery, high availability and workload migration technology. The Carbonite Data Protection Platform supports any size business, in locations around the world with secure and scalable global cloud infrastructure. To learn more visit www.Carbonite.com.
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
Carbonite CyberSecurity History Information
Official Website of Carbonite
The official website of Carbonite is http://www.carbonite.com.
Carbonite’s AI-Generated Cybersecurity Score
According to Rankiteo, Carbonite’s AI-generated cybersecurity score is 746, reflecting their Moderate security posture.
How many security badges does Carbonite’ have ?
According to Rankiteo, Carbonite currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Has Carbonite been affected by any supply chain cyber incidents ?
According to Rankiteo, Carbonite has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.
Does Carbonite have SOC 2 Type 1 certification ?
According to Rankiteo, Carbonite is not certified under SOC 2 Type 1.
Does Carbonite have SOC 2 Type 2 certification ?
According to Rankiteo, Carbonite does not hold a SOC 2 Type 2 certification.
Does Carbonite comply with GDPR ?
According to Rankiteo, Carbonite is not listed as GDPR compliant.
Does Carbonite have PCI DSS certification ?
According to Rankiteo, Carbonite does not currently maintain PCI DSS compliance.
Does Carbonite comply with HIPAA ?
According to Rankiteo, Carbonite is not compliant with HIPAA regulations.
Does Carbonite have ISO 27001 certification ?
According to Rankiteo,Carbonite is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Carbonite
Carbonite operates primarily in the Software Development industry.
Number of Employees at Carbonite
Carbonite employs approximately 226 people worldwide.
Subsidiaries Owned by Carbonite
Carbonite presently has no subsidiaries across any sectors.
Carbonite’s LinkedIn Followers
Carbonite’s official LinkedIn profile has approximately 22,077 followers.
NAICS Classification of Carbonite
Carbonite is classified under the NAICS code 5112, which corresponds to Software Publishers.
Carbonite’s Presence on Crunchbase
Yes, Carbonite has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/carbonite.
Carbonite’s Presence on LinkedIn
Yes, Carbonite maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/carbonite.
Cybersecurity Incidents Involving Carbonite
As of January 22, 2026, Rankiteo reports that Carbonite has experienced 2 cybersecurity incidents.
Number of Peer and Competitor Companies
Carbonite has an estimated 28,146 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at Carbonite ?
Incident Types: The types of cybersecurity incidents that have occurred include Ransomware and Breach.
How does Carbonite 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 Expand security awareness training to include AI-specific threats (e.g., deepfakes, generative AI misuse)., 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., Strengthen third-party risk management, including rigorous cybersecurity assessments of suppliers and managed service providers., Foster cross-ecosystem collaboration to address cascading risks in supply chains and shared infrastructure., Prioritize investments in cloud security, network protection and and immutable backup solutions..
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
Backstage is an open framework for building developer portals, and @backstage/backend-defaults provides the default implementations and setup for a standard Backstage backend app. Prior to versions 0.12.2, 0.13.2, 0.14.1, and 0.15.0, the `FetchUrlReader` component, used by the catalog and other plugins to fetch content from URLs, followed HTTP redirects automatically. This allowed an attacker who controls a host listed in `backend.reading.allow` to redirect requests to internal or sensitive URLs that are not on the allowlist, bypassing the URL allowlist security control. This is a Server-Side Request Forgery (SSRF) vulnerability that could allow access to internal resources, but it does not allow attackers to include additional request headers. This vulnerability is fixed in `@backstage/backend-defaults` version 0.12.2, 0.13.2, 0.14.1, and 0.15.0. Users should upgrade to this version or later. Some workarounds are available. Restrict `backend.reading.allow` to only trusted hosts that you control and that do not issue redirects, ensure allowed hosts do not have open redirect vulnerabilities, and/or use network-level controls to block access from Backstage to sensitive internal endpoints.
Risk Information
cvss3
Base: 3.5
Severity: HIGH
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:L/I:N/A:N
Description
Backstage is an open framework for building developer portals, and @backstage/cli-common provides config loading functionality used by the backend and command line interface of Backstage. Prior to version 0.1.17, the `resolveSafeChildPath` utility function in `@backstage/backend-plugin-api`, which is used to prevent path traversal attacks, failed to properly validate symlink chains and dangling symlinks. An attacker could bypass the path validation via symlink chains (creating `link1 → link2 → /outside` where intermediate symlinks eventually resolve outside the allowed directory) and dangling symlinks (creating symlinks pointing to non-existent paths outside the base directory, which would later be created during file operations). This function is used by Scaffolder actions and other backend components to ensure file operations stay within designated directories. This vulnerability is fixed in `@backstage/backend-plugin-api` version 0.1.17. Users should upgrade to this version or later. Some workarounds are available. Run Backstage in a containerized environment with limited filesystem access and/or restrict template creation to trusted users.
Risk Information
cvss3
Base: 6.3
Severity: HIGH
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:N/A:N
Description
Backstage is an open framework for building developer portals. Multiple Scaffolder actions and archive extraction utilities were vulnerable to symlink-based path traversal attacks. An attacker with access to create and execute Scaffolder templates could exploit symlinks to read arbitrary files via the `debug:log` action by creating a symlink pointing to sensitive files (e.g., `/etc/passwd`, configuration files, secrets); delete arbitrary files via the `fs:delete` action by creating symlinks pointing outside the workspace, and write files outside the workspace via archive extraction (tar/zip) containing malicious symlinks. This affects any Backstage deployment where users can create or execute Scaffolder templates. This vulnerability is fixed in `@backstage/backend-defaults` versions 0.12.2, 0.13.2, 0.14.1, and 0.15.0; `@backstage/plugin-scaffolder-backend` versions 2.2.2, 3.0.2, and 3.1.1; and `@backstage/plugin-scaffolder-node` versions 0.11.2 and 0.12.3. Users should upgrade to these versions or later. Some workarounds are available. Follow the recommendation in the Backstage Threat Model to limit access to creating and updating templates, restrict who can create and execute Scaffolder templates using the permissions framework, audit existing templates for symlink usage, and/or run Backstage in a containerized environment with limited filesystem access.
Risk Information
cvss3
Base: 7.1
Severity: HIGH
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:N/A:L
Description
FastAPI Api Key provides a backend-agnostic library that provides an API key system. Version 1.1.0 has a timing side-channel vulnerability in verify_key(). The method applied a random delay only on verification failures, allowing an attacker to statistically distinguish valid from invalid API keys by measuring response latencies. With enough repeated requests, an adversary could infer whether a key_id corresponds to a valid key, potentially accelerating brute-force or enumeration attacks. All users relying on verify_key() for API key authentication prior to the fix are affected. Users should upgrade to version 1.1.0 to receive a patch. The patch applies a uniform random delay (min_delay to max_delay) to all responses regardless of outcome, eliminating the timing correlation. Some workarounds are available. Add an application-level fixed delay or random jitter to all authentication responses (success and failure) before the fix is applied and/or use rate limiting to reduce the feasibility of statistical timing attacks.
Risk Information
cvss3
Base: 3.7
Severity: HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N
Description
The Flux Operator is a Kubernetes CRD controller that manages the lifecycle of CNCF Flux CD and the ControlPlane enterprise distribution. Starting in version 0.36.0 and prior to version 0.40.0, a privilege escalation vulnerability exists in the Flux Operator Web UI authentication code that allows an attacker to bypass Kubernetes RBAC impersonation and execute API requests with the operator's service account privileges. In order to be vulnerable, cluster admins must configure the Flux Operator with an OIDC provider that issues tokens lacking the expected claims (e.g., `email`, `groups`), or configure custom CEL expressions that can evaluate to empty values. After OIDC token claims are processed through CEL expressions, there is no validation that the resulting `username` and `groups` values are non-empty. When both values are empty, the Kubernetes client-go library does not add impersonation headers to API requests, causing them to be executed with the flux-operator service account's credentials instead of the authenticated user's limited permissions. This can result in privilege escalation, data exposure, and/or information disclosure. Version 0.40.0 patches the issue.
Risk Information
cvss3
Base: 5.3
Severity: HIGH
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N
References
- https://github.com/controlplaneio-fluxcd/flux-operator/commit/084540424f6de8ba5d88fb1fd1e8472ba29afd7e
- https://github.com/controlplaneio-fluxcd/flux-operator/pull/610
- https://github.com/controlplaneio-fluxcd/flux-operator/releases/tag/v0.40.0
- https://github.com/controlplaneio-fluxcd/flux-operator/security/advisories/GHSA-4xh5-jcj2-ch8q
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