CVE-2026-58659 (GCVE-0-2026-58659)
Vulnerability from cvelistv5 – Published: 2026-07-15 17:02 – Updated: 2026-07-18 01:03 X_Open Source
VLAI
EPSS
VEX
Title
PyTorch Lightning Arbitrary Code Execution via _instantiator Hyperparameter
Summary
PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the _load_state function that imports and executes attacker-controlled module names from checkpoint _instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass weights_only=True protections to execute arbitrary code when LightningModule.load_from_checkpoint is called.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-18 01:02 UTC
CWE
- CWE-470 - Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/Lightning-AI/pytorch-lightning… | technical-descriptionexploit |
| https://github.com/Lightning-AI/pytorch-lightning… | issue-tracking |
| https://github.com/Lightning-AI/pytorch-lightning… | patch |
| https://www.vulncheck.com/advisories/pytorch-ligh… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Lightning-AI | pytorch-lightning |
Affected:
0 , ≤ 2.6.5
(semver)
Unaffected: d710d689510d50e800f53b3cd773cbca20b1f86f (git) cpe:2.3:a:lightningai:pytorch_lightning:*:*:*:*:*:python:*:* |
Date Public
2026-07-10 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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