Local code execution via unsafe checkpoint loading
Published Jul 13, 2026 · Updated Jul 13, 2026
Unsafe deserialization in Yash Bhalgat HashNeRF-pytorch allows local users to execute code by supplying a malicious checkpoint. In run_nerf.py, checkpoint selection accepts --ft_path or discovered tar-named files and passes ckpt_path to unconstrained torch.load before validating checkpoint contents. Exploitation requires influence over a checkpoint consumed by a user or automated workflow, and code runs with the training or rendering process's OS privileges.
Summary
What happened
Unsafe deserialization in Yash Bhalgat HashNeRF-pytorch allows local users to execute code by supplying a malicious checkpoint. In run_nerf.py, checkpoint selection accepts --ft_path or discovered tar-named files and passes ckpt_path to unconstrained torch.load before validating checkpoint contents. Exploitation requires influence over a checkpoint consumed by a user or automated workflow, and code runs with the training or rendering process's OS privileges.
The record
- CVE
- CVE-2026-15531
- Published
- Jul 13, 2026
- Updated
- Jul 13, 2026
- Vendor
- Yash Bhalgat
- Product
- HashNeRF-pytorch
- Classifications
- CWE-502, CWE-20, T1204.002
- Attack vector
- local
- Privileges
- authenticated
Timeline
How it unfolded
- Jul 13, 2026CVE publishedPublication date reported by the CVE source.
- Jul 13, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
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- Affected versionversion=82885e698295982504eb6a26d060a6b2473e3706
What conditions does exploitation require?
What is affected?
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- Unsafe checkpoint deserialization via torch.loadproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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