Executive Summary
In November 2025, a critical remote code execution (RCE) vulnerability, CVE-2025-62593, was identified in Ray, an open-source AI compute engine. This flaw allowed attackers to execute arbitrary code on systems running Ray versions prior to 2.52.0 through browser-based attacks, specifically targeting Firefox and Safari via DNS rebinding techniques. The vulnerability stemmed from inadequate defenses against browser-originated requests, relying solely on the User-Agent header, which could be manipulated. Exploitation could occur when developers using Ray visited malicious websites or encountered malicious advertisements, potentially compromising development environments and sensitive data. (nvd.nist.gov)
The urgency of addressing this vulnerability has escalated due to its active exploitation in the wild. Notably, the RondoDox DDoS botnet incorporated this flaw into its arsenal shortly after its disclosure, and unpatched Ray instances have been targeted in campaigns like ShadowRay 2.0, aiming to convert infected clusters into cryptocurrency mining botnets.
Why This Matters Now
The active exploitation of CVE-2025-62593 underscores the critical need for organizations to promptly update Ray to version 2.52.0 or later. Delayed remediation increases the risk of system compromise, data breaches, and potential integration into malicious botnets, posing significant threats to operational integrity and security.
Attack Path Analysis
An attacker exploited a DNS rebinding vulnerability in Ray, leading to remote code execution on a developer's machine. The attacker then escalated privileges to gain higher-level access, moved laterally within the network to access other systems, established a command and control channel to maintain persistent access, exfiltrated sensitive data, and finally deployed ransomware to disrupt operations.
Kill Chain Progression
This analysis maps confirmed threat intelligence to the full cloud kill chain to show where defensive gaps would emerge as an attack progresses.
Initial Compromise
Description
An attacker exploited a DNS rebinding vulnerability in Ray, leading to remote code execution on a developer's machine.
Related CVEs
CVE-2025-62593
CVSS 8.8A remote code execution vulnerability in Ray allows attackers to execute arbitrary code via DNS rebinding attacks when developers use Firefox or Safari browsers.
Affected Products:
ray-project ray – < 2.52.0
Exploit Status:
exploited in the wild
MITRE ATT&CK® Techniques
Application Layer Protocol: Web Protocols
Dynamic Resolution: DNS Calculation
Exploitation for Client Execution
Drive-by Compromise
Exploit Public-Facing Application
Exploitation of Remote Services
Potential Compliance Exposure
Mapping incident impact across multiple compliance frameworks.
PCI DSS 4.0 – Ensure all system components are protected from known vulnerabilities
Control ID: 6.2
NYDFS 23 NYCRR 500 – Cybersecurity Policy
Control ID: 500.03
DORA – ICT Risk Management Framework
Control ID: Article 5
CISA ZTMM 2.0 – Asset Management
Control ID: 3.1
NIS2 Directive – Cybersecurity Risk Management Measures
Control ID: Article 21
Sector Implications
Industry-specific impact of the vulnerabilities, including operational, regulatory, and cloud security risks.
Information Technology/IT
Critical exposure to CVE-2025-62593 through Ray AI framework usage, enabling browser-based RCE attacks targeting development environments and compromising distributed computing infrastructures.
Computer Software/Engineering
High risk from DNS rebinding attacks exploiting Ray's authentication weaknesses, threatening AI/ML development workflows and enabling arbitrary code execution via malicious advertisements.
Biotechnology/Greentech
Supply-chain vulnerability impacts AI-powered research platforms using Ray framework, risking intellectual property theft and disruption of machine learning-driven biotechnology development processes.
Financial Services
Ray framework vulnerabilities threaten AI-based trading systems and financial modeling platforms, enabling lateral movement attacks and potential cryptocurrency mining botnet infiltration of NVIDIA GPU clusters.
Sources
- CISA Flags Actively Exploited Ray Flaw That Can Trigger Browser-Based RCEhttps://thehackernews.com/2026/08/cisa-flags-actively-exploited-ray-flaw.htmlVerified
- CISA Adds One Known Exploited Vulnerability to Cataloghttps://www.cisa.gov/news-events/alerts/2026/08/17/cisa-adds-one-known-exploited-vulnerability-catalogVerified
- Ray Security Advisory: GHSA-q279-jhrf-cc6vhttps://github.com/ray-project/ray/security/advisories/GHSA-q279-jhrf-cc6vVerified
- NVD - CVE-2025-62593https://nvd.nist.gov/vuln/detail/CVE-2025-62593Verified
Frequently Asked Questions
Cloud Native Security Fabric Mitigations and ControlsCNSF
Based on the attack progression modeled above, these are the defensive controls that would constrain each stage.
Aviatrix Zero Trust CNSF is pertinent to this incident as it would likely limit the attacker's ability to move laterally, escalate privileges, and exfiltrate data by enforcing strict segmentation and identity-based access controls.
Control: Cloud Native Security Fabric (CNSF)
Mitigation: The attacker's initial access may have been constrained to the compromised developer's machine, reducing the likelihood of further network penetration.
Control: Zero Trust Segmentation
Mitigation: The attacker's ability to escalate privileges could have been limited, reducing the risk of gaining higher-level access.
Control: East-West Traffic Security
Mitigation: The attacker's lateral movement may have been restricted, limiting access to other systems within the network.
Control: Multicloud Visibility & Control
Mitigation: The attacker's ability to establish and maintain command and control channels could have been hindered, reducing persistent access.
Control: Egress Security & Policy Enforcement
Mitigation: The attacker's data exfiltration efforts may have been detected and blocked, reducing the risk of sensitive data loss.
The attacker's ability to deploy ransomware could have been limited, reducing operational disruption.
Impact at a Glance
Affected Business Functions
- Development Environments
- AI/ML Model Training
Estimated downtime: 3 days
Estimated loss: $50,000
Potential exposure of proprietary code and AI/ML models.
Recommended Actions
Key Takeaways & Next Steps
- • Implement Zero Trust Segmentation to limit lateral movement within the network.
- • Deploy Inline IPS (Suricata) to detect and prevent exploitation attempts.
- • Utilize Cloud Firewall (ACF) to control and monitor outbound traffic.
- • Establish Threat Detection & Anomaly Response mechanisms to identify and respond to suspicious activities.
- • Ensure all systems are updated to the latest versions to mitigate known vulnerabilities.
