CVE-2025-71004 Overview
A segmentation violation vulnerability exists in the oneflow.logical_or component of OneFlow v0.9.0. This out-of-bounds read vulnerability allows attackers to cause a Denial of Service (DoS) condition by providing a specially crafted input to the affected function. The vulnerability stems from improper memory access handling within the deep learning framework's logical operations.
Critical Impact
Attackers can crash OneFlow-based machine learning applications and services by exploiting this segmentation fault, potentially disrupting AI/ML workflows and production inference systems.
Affected Products
- OneFlow v0.9.0
- Applications and services utilizing the oneflow.logical_or function
Discovery Timeline
- 2026-01-28 - CVE CVE-2025-71004 published to NVD
- 2026-01-29 - Last updated in NVD database
Technical Details for CVE-2025-71004
Vulnerability Analysis
This vulnerability is classified as CWE-125 (Out-of-bounds Read), which occurs when the software reads data past the end or before the beginning of the intended buffer. In the context of OneFlow's logical_or component, the segmentation violation indicates that the function attempts to access memory outside its allocated boundaries when processing malformed input tensors.
The network-accessible attack vector means that applications exposing OneFlow functionality through APIs or web services could be vulnerable to remote exploitation. While the vulnerability does not compromise data confidentiality or integrity, the availability impact is significant as it can crash the entire application process.
Root Cause
The root cause is an out-of-bounds read condition in the oneflow.logical_or operation. When the function processes specially crafted input data, it fails to properly validate tensor boundaries or dimensions before performing memory access operations. This lack of input validation allows attackers to trigger reads from invalid memory addresses, resulting in a segmentation fault that terminates the process.
Attack Vector
The vulnerability is exploitable over the network and requires user interaction (such as processing a malicious input file or API request). An attacker can craft a malicious tensor or input payload that, when passed to the oneflow.logical_or function, causes the application to attempt reading from an invalid memory location.
The attack does not require authentication or special privileges, making it accessible to any attacker who can supply input to a OneFlow-based application. Technical details and a proof of concept are documented in the GitHub Issue #10655 filed with the OneFlow project.
Detection Methods for CVE-2025-71004
Indicators of Compromise
- Unexpected application crashes or segmentation faults in processes utilizing OneFlow
- Core dumps or crash reports indicating faults in oneflow.logical_or or related tensor operations
- Repeated service restarts or availability disruptions in ML/AI inference pipelines
- Anomalous or malformed tensor inputs in application logs
Detection Strategies
- Monitor application logs for segmentation fault signals (SIGSEGV) in OneFlow processes
- Implement input validation and sanitization for tensor operations before passing to oneflow.logical_or
- Deploy application-level crash monitoring to detect repeated DoS attempts
- Use memory debugging tools like AddressSanitizer during development to catch out-of-bounds access
Monitoring Recommendations
- Configure alerting for unexpected process terminations in OneFlow-based services
- Implement rate limiting on API endpoints that accept tensor inputs
- Monitor system logs for crash patterns indicative of exploitation attempts
- Track resource utilization anomalies that may indicate DoS attack patterns
How to Mitigate CVE-2025-71004
Immediate Actions Required
- Identify all deployments running OneFlow v0.9.0 in your environment
- Implement input validation to reject malformed or suspicious tensor inputs
- Consider isolating OneFlow processes to limit the impact of potential crashes
- Monitor the OneFlow GitHub repository for patch announcements and updates
Patch Information
As of the last NVD update on 2026-01-29, no official patch has been announced. Organizations should monitor the OneFlow project's GitHub repository and release notes for security updates. Check the GitHub Issue #10655 for the latest status on vulnerability remediation.
Workarounds
- Implement strict input validation for all data passed to oneflow.logical_or operations
- Deploy application-level exception handling to gracefully recover from crashes
- Use containerization to isolate OneFlow processes and enable automatic restart on failure
- Consider temporarily disabling or restricting access to functionality that relies on the vulnerable logical_or component until a patch is available
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

