CVE-2025-34351
AI Analysis
Technical Summary
CVE-2025-34351 is a critical vulnerability affecting Anyscale Ray, a popular distributed computing framework used for scalable AI and data processing workloads. The vulnerability is exploitable remotely over the network without requiring any authentication or user interaction, making it highly accessible to attackers. According to the CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H), the attack complexity is low, and the attacker can fully compromise the confidentiality, integrity, and availability of the system. This means an attacker can potentially steal sensitive data, modify or corrupt data and processes, and cause denial of service or complete system takeover. The lack of available patches or mitigations at the time of publication increases the urgency for organizations to implement interim protective measures. Although no known exploits have been reported in the wild, the vulnerability poses a significant risk due to the critical nature of the impacted components and the widespread use of Anyscale Ray in cloud and AI environments. The vulnerability does not require any privileges or user interaction, which broadens the attack surface and increases the likelihood of exploitation. The absence of detailed technical information or CWE identifiers limits the ability to provide a precise exploit mechanism, but the high impact scores suggest a severe flaw in the core communication or task execution components of the framework.
Potential Impact
For European organizations, the impact of CVE-2025-34351 could be severe, particularly for those relying on Anyscale Ray for distributed computing tasks in AI research, big data analytics, and cloud services. Confidentiality breaches could expose sensitive intellectual property, personal data, or proprietary algorithms, leading to regulatory penalties under GDPR and loss of competitive advantage. Integrity compromises could result in corrupted data outputs or manipulated computations, undermining trust in automated decision-making systems. Availability impacts could disrupt critical business operations, causing downtime and financial losses. The vulnerability’s network-exploitable nature means attackers could launch attacks remotely, potentially from outside Europe, complicating attribution and response. Organizations in sectors such as finance, healthcare, research institutions, and cloud service providers are particularly at risk due to their reliance on distributed computing frameworks and the sensitivity of their data. The lack of current exploits provides a window for proactive defense, but the critical severity demands immediate attention to prevent potential future attacks.
Mitigation Recommendations
1. Monitor official channels from The Ray Team for security advisories and promptly apply any released patches or updates addressing CVE-2025-34351. 2. Until patches are available, implement network segmentation to isolate Anyscale Ray nodes from untrusted networks and limit exposure to only trusted internal systems. 3. Employ strict firewall rules to restrict inbound and outbound traffic to known and necessary ports and IP addresses associated with Anyscale Ray operations. 4. Deploy intrusion detection and prevention systems (IDS/IPS) with signatures or anomaly detection tuned to identify suspicious activity related to distributed computing frameworks. 5. Conduct regular security audits and vulnerability assessments focusing on distributed computing environments to identify and remediate misconfigurations or outdated components. 6. Enforce the principle of least privilege for all accounts and services interacting with Anyscale Ray to minimize potential damage from exploitation. 7. Maintain comprehensive logging and monitoring to detect unusual access patterns or data exfiltration attempts. 8. Educate system administrators and security teams about the vulnerability and recommended defensive measures to ensure rapid response capability.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland
CVE-2025-34351
AI-Powered Analysis
Technical Analysis
CVE-2025-34351 is a critical vulnerability affecting Anyscale Ray, a popular distributed computing framework used for scalable AI and data processing workloads. The vulnerability is exploitable remotely over the network without requiring any authentication or user interaction, making it highly accessible to attackers. According to the CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H), the attack complexity is low, and the attacker can fully compromise the confidentiality, integrity, and availability of the system. This means an attacker can potentially steal sensitive data, modify or corrupt data and processes, and cause denial of service or complete system takeover. The lack of available patches or mitigations at the time of publication increases the urgency for organizations to implement interim protective measures. Although no known exploits have been reported in the wild, the vulnerability poses a significant risk due to the critical nature of the impacted components and the widespread use of Anyscale Ray in cloud and AI environments. The vulnerability does not require any privileges or user interaction, which broadens the attack surface and increases the likelihood of exploitation. The absence of detailed technical information or CWE identifiers limits the ability to provide a precise exploit mechanism, but the high impact scores suggest a severe flaw in the core communication or task execution components of the framework.
Potential Impact
For European organizations, the impact of CVE-2025-34351 could be severe, particularly for those relying on Anyscale Ray for distributed computing tasks in AI research, big data analytics, and cloud services. Confidentiality breaches could expose sensitive intellectual property, personal data, or proprietary algorithms, leading to regulatory penalties under GDPR and loss of competitive advantage. Integrity compromises could result in corrupted data outputs or manipulated computations, undermining trust in automated decision-making systems. Availability impacts could disrupt critical business operations, causing downtime and financial losses. The vulnerability’s network-exploitable nature means attackers could launch attacks remotely, potentially from outside Europe, complicating attribution and response. Organizations in sectors such as finance, healthcare, research institutions, and cloud service providers are particularly at risk due to their reliance on distributed computing frameworks and the sensitivity of their data. The lack of current exploits provides a window for proactive defense, but the critical severity demands immediate attention to prevent potential future attacks.
Mitigation Recommendations
1. Monitor official channels from The Ray Team for security advisories and promptly apply any released patches or updates addressing CVE-2025-34351. 2. Until patches are available, implement network segmentation to isolate Anyscale Ray nodes from untrusted networks and limit exposure to only trusted internal systems. 3. Employ strict firewall rules to restrict inbound and outbound traffic to known and necessary ports and IP addresses associated with Anyscale Ray operations. 4. Deploy intrusion detection and prevention systems (IDS/IPS) with signatures or anomaly detection tuned to identify suspicious activity related to distributed computing frameworks. 5. Conduct regular security audits and vulnerability assessments focusing on distributed computing environments to identify and remediate misconfigurations or outdated components. 6. Enforce the principle of least privilege for all accounts and services interacting with Anyscale Ray to minimize potential damage from exploitation. 7. Maintain comprehensive logging and monitoring to detect unusual access patterns or data exfiltration attempts. 8. Educate system administrators and security teams about the vulnerability and recommended defensive measures to ensure rapid response capability.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2025-04-15T19:15:22.589Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6927bf816cbf1e727e3d95b7
Added to database: 11/27/2025, 3:03:29 AM
Last enriched: 12/11/2025, 4:26:24 AM
Last updated: 1/11/2026, 12:45:16 PM
Views: 143
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