CVE-2026-44484

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{"bugzilla": {"description": "pytorch-lightning: PyTorch Lightning: Credential harvesting via introduced functionality", "id": "2477476", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477476"}, "csaw": false, "cvss3": {"cvss3_base_score": "9.8", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "status": "draft"}, "cwe": "CWE-829", "details": ["A flaw was found in PyTorch Lightning. This deep learning framework introduced functionality that could be leveraged as a credential harvesting mechanism. A remote attacker could exploit this to obtain sensitive user credentials, leading to significant information disclosure and potential further system compromise."], "mitigation": {"lang": "en:us", "value": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability."}, "name": "CVE-2026-44484", "package_state": [{"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Not affected", "package_name": "rhaiis/vllm-cpu-rhel9", "product_name": "Red Hat AI Inference Server"}, {"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Not affected", "package_name": "rhaiis/vllm-cuda-rhel9", "product_name": "Red Hat AI Inference Server"}, {"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Not affected", "package_name": "rhaiis/vllm-rocm-rhel9", "product_name": "Red Hat AI Inference Server"}, {"cpe": "cpe:/a:redhat:ai_inference_server:3", "fix_state": "Not affected", "package_name": "rhaiis/vllm-tpu-rhel9", "product_name": "Red Hat AI Inference Server"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Not 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": "Not 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": "Not affected", "package_name": "rhelai3/bootc-azure-rocm-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Not 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": "Not affected", "package_name": "rhelai3/bootc-gcp-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Not affected", "package_name": "rhelai3/bootc-rocm-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Not affected", "package_name": "rhoai/odh-vllm-gaudi-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2026-05-14T14:59:03Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-44484\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-44484\nhttps://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3"], "statement": "Important: This flaw in PyTorch Lightning, which could enable remote credential harvesting, does not affect Red Hat products. The vulnerable code is not present in Red Hat Enterprise Linux AI or Red Hat AI Inference Server components.", "threat_severity": "Important"}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "2.6.2"}}, {"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "2.6.3"}}], "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": "2026-05-14T16:30:24.544357+00:00", "updated": "2026-05-15T13:30:45.613694+00:00", "vendors": ["lightningai", "lightningai$PRODUCT$pytorch_lightning"]}