{ "document": { "aggregate_severity": { "namespace": "https://access.redhat.com/security/updates/classification/", "text": "Important" }, "category": "csaf_vex", "csaf_version": "2.0", "distribution": { "text": "Copyright © Red Hat, Inc. All rights reserved.", "tlp": { "label": "WHITE", "url": "https://www.first.org/tlp/" } }, "lang": "en", "notes": [ { "category": "legal_disclaimer", "text": "This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.", "title": "Terms of Use" } ], "publisher": { "category": "vendor", "contact_details": "https://access.redhat.com/security/team/contact/", "issuing_authority": "Red Hat Product Security is responsible for vulnerability handling across all Red Hat products and services.", "name": "Red Hat Product Security", "namespace": "https://www.redhat.com" }, "references": [ { "category": "self", "summary": "Canonical URL", "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44484.json" } ], "title": "pytorch-lightning: PyTorch Lightning: Credential harvesting via introduced functionality", "tracking": { "current_release_date": "2026-06-30T03:44:44+00:00", "generator": { "date": "2026-06-30T03:44:44+00:00", "engine": { "name": "Red Hat SDEngine", "version": "5.3.0" } }, "id": "CVE-2026-44484", "initial_release_date": 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"Inclusion of Functionality from Untrusted Control Sphere" }, "discovery_date": "2026-05-14T16:02:06.154658+00:00", "flags": [ { "label": "vulnerable_code_not_present", "product_ids": [ "red_hat_ai_inference_server:rhaiis/vllm-cpu-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-cuda-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-rocm-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-tpu-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-aws-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-azure-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-azure-rocm-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-gcp-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-rocm-rhel9", "red_hat_openshift_ai_(rhoai):rhoai/odh-vllm-gaudi-rhel9" ] } ], "ids": [ { "system_name": "Red Hat Bugzilla ID", "text": "2477476" } ], "notes": [ { "category": "description", "text": "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.", "title": "Vulnerability description" }, { "category": "summary", "text": "pytorch-lightning: PyTorch Lightning: Credential harvesting via introduced functionality", "title": "Vulnerability summary" }, { "category": "other", "text": "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.", "title": "Statement" }, { "category": "general", "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product's status, and are included for informational purposes to better understand the severity of this vulnerability.", "title": "CVSS score applicability" } ], "product_status": { "known_not_affected": [ "red_hat_ai_inference_server:rhaiis/vllm-cpu-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-cuda-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-rocm-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-tpu-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-aws-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-azure-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-azure-rocm-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-gcp-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-rocm-rhel9", "red_hat_openshift_ai_(rhoai):rhoai/odh-vllm-gaudi-rhel9" ] }, "references": [ { "category": "self", "summary": "Canonical URL", "url": "https://access.redhat.com/security/cve/CVE-2026-44484" }, { "category": "external", "summary": "RHBZ#2477476", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2477476" }, { "category": "external", "summary": "https://www.cve.org/CVERecord?id=CVE-2026-44484", "url": "https://www.cve.org/CVERecord?id=CVE-2026-44484" }, { "category": "external", "summary": "https://nvd.nist.gov/vuln/detail/CVE-2026-44484", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-44484" }, { "category": "external", "summary": "https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3", "url": "https://github.com/Lightning-AI/pytorch-lightning/security/advisories/GHSA-w37p-236h-pfx3" } ], "release_date": "2026-05-14T14:59:03.933000+00:00", "scores": [ { "cvss_v3": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 9.8, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "version": "3.1" }, "products": [ "red_hat_ai_inference_server:rhaiis/vllm-cpu-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-cuda-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-rocm-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-tpu-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-aws-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-azure-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-azure-rocm-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-gcp-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-rocm-rhel9", "red_hat_openshift_ai_(rhoai):rhoai/odh-vllm-gaudi-rhel9" ] } ], "threats": [ { "category": "impact", "details": "Important", "product_ids": [ "red_hat_ai_inference_server:rhaiis/vllm-cpu-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-cuda-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-rocm-rhel9", "red_hat_ai_inference_server:rhaiis/vllm-tpu-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-aws-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-azure-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-azure-rocm-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-gcp-cuda-rhel9", "red_hat_enterprise_linux_ai_(rhel_ai)_3:rhelai3/bootc-rocm-rhel9", "red_hat_openshift_ai_(rhoai):rhoai/odh-vllm-gaudi-rhel9" ] } ], "title": "pytorch-lightning: PyTorch Lightning: Credential harvesting via introduced functionality" } ] }