{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-58659", "assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10", "state": "PUBLISHED", "assignerShortName": "VulnCheck", "dateReserved": "2026-07-01T21:54:37.946Z", "datePublished": "2026-07-15T17:02:40.640Z", "dateUpdated": "2026-07-15T17:02:40.640Z"}, "containers": {"cna": {"providerMetadata": {"orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10", "shortName": "VulnCheck", "dateUpdated": "2026-07-15T17:02:40.640Z"}, "title": "PyTorch Lightning Arbitrary Code Execution via _instantiator Hyperparameter", "descriptions": [{"lang": "en", "value": "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."}], "tags": ["x_open-source"], "datePublic": "2026-07-10T00:00:00.000Z", "problemTypes": [{"descriptions": [{"lang": "en", "cweId": "CWE-470", "description": "Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection')", "type": "CWE"}]}], "affected": [{"vendor": "Lightning-AI", "product": "pytorch-lightning", "defaultStatus": "unaffected", "packageURL": "pkg:pypi/assistant", "versions": [{"version": "0", "status": "affected", "versionType": "semver", "lessThanOrEqual": "2.6.5"}, {"status": "unaffected", "version": "d710d689510d50e800f53b3cd773cbca20b1f86f", "versionType": "git"}], "repo": "https://github.com/Lightning-AI/pytorch-lightning"}], "cpeApplicability": [{"nodes": [{"operator": "OR", "cpeMatch": [{"vulnerable": true, "criteria": "cpe:2.3:a:lightningai:pytorch_lightning:*:*:*:*:*:python:*:*", "versionEndIncluding": "2.6.5"}]}]}], "metrics": [{"format": "CVSS", "scenarios": [{"lang": "en", "value": "GENERAL"}], "cvssV4_0": {"attackVector": "LOCAL", "attackComplexity": "LOW", "attackRequirements": "NONE", "privilegesRequired": "NONE", "userInteraction": "ACTIVE", "vulnConfidentialityImpact": "HIGH", "subConfidentialityImpact": "NONE", "vulnIntegrityImpact": "HIGH", "subIntegrityImpact": "NONE", "vulnAvailabilityImpact": "HIGH", "subAvailabilityImpact": "NONE", "exploitMaturity": "NOT_DEFINED", "Safety": "NOT_DEFINED", "Automatable": "NOT_DEFINED", "Recovery": "NOT_DEFINED", "valueDensity": "NOT_DEFINED", "vulnerabilityResponseEffort": "NOT_DEFINED", "providerUrgency": "NOT_DEFINED", "version": "4.0", "baseSeverity": "HIGH", "baseScore": 8.4, "vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"}}, {"format": "CVSS", "scenarios": [{"lang": "en", "value": "GENERAL"}], "cvssV3_1": {"attackVector": "LOCAL", "attackComplexity": "LOW", "privilegesRequired": "NONE", "userInteraction": "REQUIRED", "scope": "UNCHANGED", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "availabilityImpact": "HIGH", "version": "3.1", "baseSeverity": "HIGH", "baseScore": 7.8, "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"}}], "references": [{"url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21822", "name": "Researcher Disclosure", "tags": ["technical-description", "exploit"]}, {"url": "https://github.com/Lightning-AI/pytorch-lightning/pull/21832", "name": "Pull Request", "tags": ["issue-tracking"]}, {"url": "https://github.com/Lightning-AI/pytorch-lightning/commit/d710d689510d50e800f53b3cd773cbca20b1f86f", "name": "Patch Commit", "tags": ["patch"]}, {"url": "https://www.vulncheck.com/advisories/pytorch-lightning-arbitrary-code-execution-via-instantiator-hyperparameter", "tags": ["third-party-advisory"]}], "credits": [{"lang": "en", "value": "George Chen", "type": "finder"}], "x_generator": {"engine": "vulncheck-endgame"}}}}

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{"bugzilla": {"description": "pytorch-lightning: PyTorch Lightning: Remote code execution via malicious checkpoint files", "id": "2501037", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2501037"}, "csaw": false, "cvss3": {"cvss3_base_score": "7.8", "cvss3_scoring_vector": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "status": "draft"}, "cwe": "CWE-502", "details": ["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.", "A flaw was found in PyTorch Lightning. This vulnerability allows attackers to achieve remote code execution by crafting malicious checkpoint files. These files exploit a weakness in the _load_state function, which imports and executes attacker-controlled module names from checkpoint instantiator hyperparameters, bypassing existing security protections."], "name": "CVE-2026-58659", "package_state": [{"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Affected", "package_name": "rhaiis/vllm-cpu-rhel9", "product_name": "Red Hat AI Inference Server"}, {"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Affected", "package_name": "rhaiis/vllm-cuda-rhel9", "product_name": "Red Hat AI Inference Server"}, {"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Affected", "package_name": "rhaiis/vllm-rocm-rhel9", "product_name": "Red Hat AI Inference Server"}, {"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Affected", "package_name": "rhaiis/vllm-tpu-rhel9", "product_name": "Red Hat AI Inference Server"}, {"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Affected", "package_name": "rhaii/vllm-cpu-rhel9", "product_name": "Red Hat AI Inference Server"}, {"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Affected", "package_name": "rhaii/vllm-cuda-rhel9", "product_name": "Red Hat AI Inference Server"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Affected", "package_name": "rhelai3/bootc-aws-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Affected", "package_name": "rhelai3/bootc-azure-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Affected", "package_name": "rhelai3/bootc-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Affected", "package_name": "rhelai3/bootc-gcp-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-automl-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-kserve-autogluon-server-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-vllm-gaudi-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2026-07-15T17:02:40Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-58659\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-58659\nhttps://github.com/Lightning-AI/pytorch-lightning/commit/d710d689510d50e800f53b3cd773cbca20b1f86f\nhttps://github.com/Lightning-AI/pytorch-lightning/issues/21822\nhttps://github.com/Lightning-AI/pytorch-lightning/pull/21832\nhttps://www.vulncheck.com/advisories/pytorch-lightning-arbitrary-code-execution-via-instantiator-hyperparameter"], "statement": "This is an Important severity flaw in PyTorch Lightning that could lead to remote code execution. The vulnerability arises from the _load_state function's ability to import and execute attacker-controlled module names from maliciously crafted checkpoint files, even when weights_only=True is enabled. Exploitation requires a local attacker to trick a user into loading a specially crafted checkpoint file.", "threat_severity": "Important"}

{"affected": [{"configurations": [{"platform": ["python"], "status": "affected", "versions": null}], "enrichment": {"confidence": 95.0, "confidence_source": "inferred", "scores": [{"score": 95.0, "source": "inferred"}, {"score": 100.0, "source": "matching"}]}, "product": "pytorch_lightning", "vendor": "lightningai"}, {"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "generic", "value": "[0,2.6.5]"}}, {"platform": null, "status": "unaffected", "versions": {"scheme": "code_commit", "value": "d710d689510d50e800f53b3cd773cbca20b1f86f"}}], "enrichment": {"confidence": 98.0, "confidence_source": "matching", "scores": [{"score": 98.0, "source": "matching"}]}, "original": {"product": "pytorch-lightning", "source": "cna", "vendor": "Lightning-AI"}, "product": "pytorch_lightning", "vendor": "lightningai"}], "created": "2026-07-15T22:45:04.767838+00:00", "updated": "2026-07-17T05:15:05.137347+00:00", "vendors": ["lightningai", "lightningai$PRODUCT$pytorch_lightning"]}