CVE-2025-71009 Overview
An input validation vulnerability has been identified in the flow.scatter/flow.scatter_add component of OneFlow v0.9.0. This security flaw allows attackers to cause a Denial of Service (DoS) condition by supplying crafted indices to the affected functions. The vulnerability stems from improper input validation (CWE-20) where malicious input can trigger unexpected behavior in the tensor scatter operations.
Critical Impact
Attackers can exploit this vulnerability to crash OneFlow applications or cause service disruption through carefully crafted index values passed to scatter operations.
Affected Products
- OneFlow v0.9.0
- Applications using flow.scatter component
- Applications using flow.scatter_add component
Discovery Timeline
- 2026-01-29 - CVE CVE-2025-71009 published to NVD
- 2026-01-29 - Last updated in NVD database
Technical Details for CVE-2025-71009
Vulnerability Analysis
This input validation vulnerability resides in the scatter tensor operations within OneFlow, a deep learning framework. The flow.scatter and flow.scatter_add functions are designed to write values from a source tensor into a destination tensor at positions specified by an indices tensor. When processing user-supplied indices, the component fails to properly validate the input values before using them in memory operations.
The lack of proper boundary checking on the indices parameter allows an attacker to supply out-of-range or malformed index values. When these crafted indices are processed, they can cause the application to access invalid memory locations or enter an inconsistent state, resulting in a crash and subsequent denial of service.
Root Cause
The root cause of this vulnerability is improper input validation (CWE-20) in the scatter operation implementation. The affected functions do not adequately verify that the provided indices fall within acceptable bounds before performing tensor operations. This missing validation allows malformed input to propagate through the execution flow, ultimately causing the application to fail.
Attack Vector
The attack requires local access to the system running the vulnerable OneFlow application. An attacker must be able to provide input to an application that uses the flow.scatter or flow.scatter_add functions. By crafting specific index values that violate expected constraints, the attacker can trigger the vulnerability.
The exploitation mechanism involves passing specially crafted indices to the scatter operations. These malicious indices bypass the insufficient validation checks and cause the underlying tensor operations to fail, resulting in application crashes. No user interaction is required once the attacker can supply input to the affected functions.
Detailed technical information about this vulnerability can be found in the GitHub Issue Tracker Entry.
Detection Methods for CVE-2025-71009
Indicators of Compromise
- Unexpected crashes in applications using OneFlow scatter operations
- Error logs indicating invalid memory access or index out of bounds exceptions in flow.scatter or flow.scatter_add calls
- Repeated application restarts due to unhandled exceptions in tensor operations
Detection Strategies
- Monitor application logs for exceptions related to scatter operations with unusual index patterns
- Implement runtime monitoring for OneFlow processes to detect abnormal termination events
- Deploy input validation logging to capture suspicious index values before they reach scatter functions
Monitoring Recommendations
- Set up alerting for OneFlow application crashes that occur during scatter operations
- Track resource utilization patterns to identify potential DoS attack attempts
- Review application input sources for anomalous index patterns that could indicate exploitation attempts
How to Mitigate CVE-2025-71009
Immediate Actions Required
- Review all applications using OneFlow v0.9.0 that utilize flow.scatter or flow.scatter_add functions
- Implement input validation at the application layer to sanitize indices before passing them to scatter operations
- Consider isolating OneFlow workloads to limit the impact of potential DoS attacks
- Monitor the OneFlow project for security patches addressing this vulnerability
Patch Information
No vendor patch information is currently available. Monitor the OneFlow GitHub repository for updates regarding fixes for this vulnerability.
Workarounds
- Implement application-level bounds checking on all indices before passing them to flow.scatter or flow.scatter_add functions
- Validate that index values are within the expected range for the target tensor dimensions
- Add exception handling around scatter operations to gracefully handle failures without crashing the entire application
- Restrict access to input channels that could be used to supply malicious indices to affected functions
# Configuration example - Application-level input validation
# Add bounds checking before scatter operations
# Ensure indices are within valid range: 0 <= index < tensor_dimension
# Implement try-catch blocks around scatter calls to handle exceptions gracefully
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
