EUVD-2026-43277
GHSA-9wjg-4fhr-x4rw
Severity by source
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Local-only exploitation via file path argument control with low privilege; no scope change and symmetric low C/I/A impact confined to the training process.
Primary rating from Vendor (VulDB).
CVSS VectorVendor: VulDB
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Lifecycle Timeline
3DescriptionCVE.org
A vulnerability has been found in yashbhalgat HashNeRF-pytorch up to 82885e698295982504eb6a26d060a6b2473e3706. Affected by this issue is the function torch.load of the file run_nerf.py of the component Checkpoint File Handler. The manipulation of the argument ckpt_path leads to deserialization. The attack must be carried out locally. The exploit has been disclosed to the public and may be used. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The pull request to fix this issue awaits acceptance.
AnalysisAI
Unsafe deserialization in HashNeRF-pytorch's Checkpoint File Handler allows a local low-privileged attacker to achieve arbitrary code execution by supplying a malicious file via the ckpt_path argument to torch.load() in run_nerf.py. All commits up to 82885e698295982504eb6a26d060a6b2473e3706 are affected; a fix exists as an unmerged pull request (PR #50). …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires local system access and low-privileged user permissions, as confirmed by CVSS 4.0 AV:L/PR:L. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 4.0 score of 4.8 (Medium) with vector AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N accurately reflects an attack constrained to local access with low-privilege requirements. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | A local attacker with low-privileged shell access on a machine running HashNeRF-pytorch crafts a `.pt` checkpoint file that embeds a malicious pickle payload - for example, a reverse shell or credential harvester - using publicly documented PyTorch pickle injection techniques. The attacker places the file at a path the victim user or automated training pipeline will supply as `ckpt_path`, then waits for `run_nerf.py` to be invoked; upon `torch.load()` deserializing the file, the payload executes in the context of the training process. … |
| Remediation | No officially merged patch exists at time of analysis; the fix is pending as pull request PR #50 (https://github.com/yashbhalgat/HashNeRF-pytorch/pull/50), which has not yet been accepted into the main branch. … Detailed patch versions, workarounds, and compensating controls in full report. |
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External POC / Exploit Code
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