# CVE-2025-65887: Oneflow-Inc OneFlow division by zero in flow.floor_divide

Source: https://junglewise.ai/threats/cve-2025-65887-oneflow-inc-oneflow-division-by-zero-in-flow-floor-divide  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-01-28. Updated: 2026-07-05  
License: CC BY 4.0 with a link back

CVE-2025-65887 · Severity: medium · CVSS 6.5 · Published 2026-01-28

OneFlow is an open-source deep learning framework used for building and deploying artificial intelligence models. A flaw in its mathematical processing component allows an attacker to crash the software by providing a specific type of invalid data. This results in a denial-of-service, potentially interrupting AI training or inference tasks and impacting service availability.

Technologies: [Oneflow](https://junglewise.ai/threats/technologies/oneflow). Vendors: [Oneflow](https://junglewise.ai/threats/vendors/oneflow).

## Quick answers

**Is CVE-2025-65887 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2025-65887 being exploited in the wild.

**How severe is CVE-2025-65887?** Medium severity, with a CVSS score of 6.5, published 28 January 2026.

**Which products and versions are affected?** Oneflow-Inc OneFlow 0.9.0.

**Is there a fix for CVE-2025-65887?** No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.

**How is CVE-2025-65887 attacked?** It is attacked over the network, in a software library.

**Am I affected by CVE-2025-65887?** Check whether you run Oneflow. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

A division-by-zero vulnerability (CWE-369) exists in the 'flow.floor_divide()' function of OneFlow version 0.9.0. The issue is triggered when the function receives a divisor tensor containing zero values, which leads to a floating-point exception and a subsequent core dump. An attacker can exploit this by providing specially crafted input tensors to an application utilizing this framework. This results in a complete crash of the process (Denial of Service). The vulnerability is reachable over the network if the application exposes an interface that processes user-supplied tensors.

## Affected products

- Oneflow-Inc OneFlow 0.9.0

## Timeline

- 2025-06-30: disclosed: Issue reported on GitHub repository
- 2026-01-28: advisory: NVD publication date

## References

- [https://github.com/Daisy2ang](https://github.com/Daisy2ang)
- [https://github.com/Oneflow-Inc/oneflow](https://github.com/Oneflow-Inc/oneflow)
- [https://github.com/Oneflow-Inc/oneflow/issues/10665](https://github.com/Oneflow-Inc/oneflow/issues/10665)

## Related threats

- [Oneflow-Inc OneFlow segmentation fault in flow.column_stack](https://junglewise.ai/threats/cve-2025-71001-oneflow-inc-oneflow-segmentation-fault-in-flow-column-stack)
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- [OneFlow denial of service in flow.cuda.get_device_capability](https://junglewise.ai/threats/cve-2025-70999-oneflow-denial-of-service-in-flow-cuda-get-device-capability)
- [OneFlow GPU device-ID validation denial of service in get_device_properties](https://junglewise.ai/threats/cve-2025-65891-oneflow-gpu-device-id-validation-denial-of-service-in-get-device)
- [OneFlow denial of service via invalid device ID in CUDA synchronization](https://junglewise.ai/threats/cve-2025-65890-oneflow-denial-of-service-via-invalid-device-id-in-cuda)
