CVE-2025-71007: OneFlow index_add DoS Vulnerability

CVE-2025-71007 Overview

An input validation vulnerability exists in the oneflow.index_add component of OneFlow v0.9.0 that allows attackers to cause a Denial of Service (DoS) condition via a crafted input. This vulnerability stems from improper input validation (CWE-120: Buffer Copy without Checking Size of Input), which can be exploited remotely over the network without requiring authentication or user interaction.

Critical Impact

Remote attackers can exploit this input validation flaw to crash OneFlow instances, causing service disruption for machine learning and deep learning workloads that depend on this framework.

Affected Products

• OneFlow v0.9.0
• oneflow.index_add component

Discovery Timeline

• 2026-01-28 - CVE-2025-71007 published to NVD
• 2026-01-29 - Last updated in NVD database

Technical Details for CVE-2025-71007

Vulnerability Analysis

The vulnerability resides in the oneflow.index_add function within the OneFlow deep learning framework. OneFlow is an open-source deep learning platform designed for high-performance computing workloads. The index_add operation is commonly used for tensor manipulation, allowing values to be added to a tensor at specified indices.

The core issue is an input validation failure classified under CWE-120 (Buffer Copy without Checking Size of Input). When processing specially crafted input parameters, the function fails to properly validate input boundaries, leading to a condition that causes the application to crash. This type of vulnerability typically occurs when array indices or tensor dimensions are not properly checked against the actual bounds of the underlying data structures.

Root Cause

The root cause is improper input validation in the oneflow.index_add component. The function does not adequately verify that input parameters conform to expected bounds and constraints before processing them. Specifically, the vulnerability appears to involve insufficient boundary checking when handling index values or tensor shapes, allowing malformed inputs to trigger undefined behavior that results in a denial of service condition.

Attack Vector

The vulnerability is exploitable over the network with low attack complexity. An attacker does not require any privileges or user interaction to exploit this vulnerability. The attack scenario involves:

1. An attacker identifies an exposed OneFlow application or service that utilizes the index_add function
2. The attacker crafts malicious input data designed to trigger the input validation flaw
3. When the vulnerable oneflow.index_add function processes the malicious input, it fails to handle the boundary conditions properly
4. This results in a crash or unresponsive state, causing denial of service for legitimate users

The vulnerability specifically impacts availability without affecting confidentiality or integrity of the system, making it a pure DoS vector.

Detection Methods for CVE-2025-71007

Indicators of Compromise

• Unexpected crashes or termination of OneFlow processes, particularly those utilizing index_add operations
• Application logs showing errors related to tensor index operations or boundary violations
• Repeated restart attempts of OneFlow services without successful recovery
• Unusual input patterns in network traffic targeting OneFlow API endpoints

Detection Strategies

• Monitor OneFlow application logs for crashes or exceptions originating from the index_add function
• Implement application-level monitoring to detect abnormal termination patterns in deep learning workloads
• Deploy network intrusion detection rules to identify potentially malicious payloads targeting tensor operations
• Set up process monitoring to alert on unexpected OneFlow service restarts

Monitoring Recommendations

• Configure centralized logging for all OneFlow instances to capture crash events and stack traces
• Establish baseline metrics for service uptime and implement alerting for anomalous downtime patterns
• Monitor system resources (memory, CPU) for sudden spikes or drops that may indicate exploitation attempts
• Track API request patterns to identify potential probing or fuzzing activity

How to Mitigate CVE-2025-71007

Immediate Actions Required

• Upgrade OneFlow to a patched version that addresses the input validation vulnerability when available
• Implement input validation at the application layer before data reaches the oneflow.index_add function
• Restrict network access to OneFlow services to trusted sources only
• Consider deploying a web application firewall (WAF) to filter potentially malicious requests

Patch Information

For detailed information about the vulnerability and potential fixes, refer to GitHub Issue #10652 in the official OneFlow repository. Users should monitor the OneFlow project for security updates and apply patches as they become available.

Workarounds

• Implement strict input validation and sanitization before calling the oneflow.index_add function
• Deploy network segmentation to isolate OneFlow services from untrusted networks
• Use rate limiting and request throttling to mitigate potential DoS attempts
• Implement application-level exception handling to gracefully recover from crash conditions

# Example: Restrict network access to OneFlow services using iptables
# Allow only trusted IP ranges to access the service port
iptables -A INPUT -p tcp --dport 8080 -s 10.0.0.0/8 -j ACCEPT
iptables -A INPUT -p tcp --dport 8080 -j DROP