{ "document": { "category": "csaf_base", "csaf_version": "2.0", "distribution": { "tlp": { "label": "WHITE" } }, "lang": "en", "notes": [ { "category": "legal_disclaimer", "text": "The Netherlands Cyber Security Center (henceforth: NCSC-NL) maintains this portal to enhance access to its information and vulnerabilities. The use of this information is subject to the following terms and conditions:\n\nThe vulnerabilities disclosed in this portal are gathered by NCSC-NL from a variety of open sources, which the user can retrieve from other platforms. NCSC-NL makes every reasonable effort to ensure that the content of this portal is kept up to date, and that it is accurate and complete. Nevertheless, NCSC-NL cannot entirely rule out the possibility of errors, and therefore cannot give any warranty in respect of its completeness, accuracy or real-time keeping up-to-date. NCSC-NL does not control nor guarantee the accuracy, relevance, timeliness or completeness of information obtained from these external sources. The vulnerabilities disclosed in this portal are intended solely for the convenience of professional parties to take appropriate measures to manage the risks posed to the cybersecurity. No rights can be derived from the information provided therein.\n\nNCSC-NL and the Kingdom of the Netherlands assume no legal liability or responsibility for any damage resulting from either the use or inability of use of the vulnerabilities disclosed in this portal. This includes damage resulting from the inaccuracy of incompleteness of the information contained in it.\nThe information on this page is subject to Dutch law. All disputes related to or arising from the use of this portal regarding the disclosure of vulnerabilities will be submitted to the competent court in The Hague. This choice of means also applies to the court in summary proceedings." } ], "publisher": { "category": "coordinator", "contact_details": "cert@ncsc.nl", "name": "National Cyber Security Centre", "namespace": "https://www.ncsc.nl/" }, "title": "CVE-2026-34445", "tracking": { "current_release_date": "2026-04-02T14:59:28.377556Z", "generator": { "date": "2026-02-17T15:00:00Z", "engine": { "name": "V.E.L.M.A", "version": "1.7" } }, "id": "CVE-2026-34445", "initial_release_date": "2026-04-01T18:40:51.306941Z", "revision_history": [ { "date": "2026-04-01T18:40:51.306941Z", "number": "1", "summary": "CVE created.| Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| Products connected (1).| References created (3).| CWES updated (1).| Unknown change." }, { "date": "2026-04-01T18:40:54.320272Z", "number": "2", "summary": "NCSC Score created." }, { "date": "2026-04-01T22:11:12.939722Z", "number": "3", "summary": "Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| References created (5).| CWES updated (1)." }, { "date": "2026-04-01T22:11:20.708086Z", "number": "4", "summary": "NCSC Score updated." }, { "date": "2026-04-01T23:05:38.243476Z", "number": "5", "summary": "Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| References created (3).| CWES updated (1)." }, { "date": "2026-04-01T23:05:43.760553Z", "number": "6", "summary": "NCSC Score updated." }, { "date": "2026-04-02T00:29:33.388460Z", "number": "7", "summary": "Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| Products connected (16).| Product Identifiers created (1).| References created (5).| CWES updated (1).| Vendor_assessment created." }, { "date": "2026-04-02T00:29:38.956565Z", "number": "8", "summary": "NCSC Score updated." }, { "date": "2026-04-02T12:46:13.664746Z", "number": "9", "summary": "Source created.| CVE status created. (valid)| Description created for source.| Products connected (2)." }, { "date": "2026-04-02T12:46:22.728548Z", "number": "10", "summary": "NCSC Score updated." }, { "date": "2026-04-02T14:59:20.533539Z", "number": "11", "summary": "Source connected.| CVE status created. (valid)| EPSS created." } ], "status": "interim", "version": "11" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-1439279", "product_identification_helper": { "cpe": "cpe:/a:redhat:openshift_ai" } } } ], "category": "product_name", "name": "Red Hat OpenShift AI (RHOAI)" }, { "branches": [ { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5276225" } } ], "category": "product_name", "name": "odh-openvino-model-server-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5068100" } } ], "category": "product_name", "name": "odh-pipeline-runtime-datascience-cpu-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5068105" } } ], "category": "product_name", "name": "odh-pipeline-runtime-pytorch-cuda-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5222767" } } ], "category": "product_name", "name": "odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5068108" } } ], "category": "product_name", "name": "odh-pipeline-runtime-pytorch-rocm-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5068110" } } ], "category": "product_name", "name": "odh-pipeline-runtime-tensorflow-cuda-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5155537" } } ], "category": "product_name", "name": "odh-pipeline-runtime-tensorflow-rocm-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5068114" } } ], "category": "product_name", "name": "odh-workbench-codeserver-datascience-cpu-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5068116" } } ], "category": "product_name", "name": "odh-workbench-jupyter-datascience-cpu-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5068126" } } ], "category": "product_name", "name": "odh-workbench-jupyter-pytorch-cuda-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5222780" } } ], "category": "product_name", "name": "odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5068128" } } ], "category": "product_name", "name": "odh-workbench-jupyter-pytorch-rocm-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5068131" } } ], "category": "product_name", "name": "odh-workbench-jupyter-tensorflow-cuda-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5155538" } } ], "category": "product_name", "name": "odh-workbench-jupyter-tensorflow-rocm-py312-rhel9" }, { "branches": [ { "category": "product_version_range", "name": "vers:rpm/unknown", "product": { "name": "vers:rpm/unknown", "product_id": "CSAFPID-5068134" } } ], "category": "product_name", "name": "odh-workbench-jupyter-trustyai-cpu-py312-rhel9" } ], "category": "product_family", "name": "Red Hat OpenShift AI (RHOAI)" } ], "category": "vendor", "name": "Red Hat" }, { "branches": [ { "branches": [ { "branches": [ { "category": "product_version_range", "name": "vers:deb/unknown", "product": { "name": "vers:deb/unknown", "product_id": "CSAFPID-2541970" } } ], "category": "product_name", "name": "onnx" } ], "category": "product_family", "name": "bookworm" }, { "branches": [ { "branches": [ { "category": "product_version_range", "name": "vers:deb/unknown", "product": { "name": "vers:deb/unknown", "product_id": "CSAFPID-2541971" } } ], "category": "product_name", "name": "onnx" } ], "category": "product_family", "name": "bullseye" } ], "category": "vendor", "name": "Debian" }, { "branches": [ { "branches": [ { "category": "product_version_range", "name": "vers:unknown/<1.21.0", "product": { "name": "vers:unknown/<1.21.0", "product_id": "CSAFPID-5982384" } } ], "category": "product_name", "name": "onnx" } ], "category": "vendor", "name": "onnx" } ] }, "vulnerabilities": [ { "cve": "CVE-2026-34445", "cwe": { "id": "CWE-915", "name": "Improperly Controlled Modification of Dynamically-Determined Object Attributes" }, "notes": [ { "category": "description", "text": "Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the \"keys\" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.", "title": "cveprojectv5 - https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2026/34xxx/CVE-2026-34445.json" }, { "category": "description", "text": "### Summary\nThe ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. The problem? It didn’t check if the \"keys\" in the file were valid. Because it blindly trusted the file, an attacker could craft a malicious model that overwrites internal object properties.\n\n### Why its Dangerous\n**Instant Crash DoS**: An attacker can set the length property to a massive number like 9 petabytes. When the system tries to load the model, it attempts to allocate all that RAM at once, causing the server to crash or freeze Out of Memory.\n\n**Access Bypass**: By setting a negative offset -1, an attacker can trick the system into reading parts of a file it wasn't supposed to touch.\n\n**Object Corruption**: Attackers can even inject \"dunder\" attributes like __class__ to change the object's type entirely, which could lead to more complex exploits.\n\n**Fixed**: https://github.com/onnx/onnx/pull/7751 object state corruption and DoS via ExternalDataInfo attribute injection", "title": "github - https://api.github.com/advisories/GHSA-538c-55jv-c5g9" }, { "category": "description", "text": "Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the \"keys\" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.", "title": "nvd - https://services.nvd.nist.gov/rest/json/cves/2.0?cveId=CVE-2026-34445" }, { "category": "description", "text": "A flaw was found in Open Neural Network Exchange (ONNX). An attacker could exploit a vulnerability in how ONNX processes model metadata, specifically within the ExternalDataInfo class. By crafting a malicious ONNX model, an attacker could overwrite internal object properties, leading to a denial of service, which makes the system unavailable. This vulnerability could also result in limited information disclosure or data alteration.", "title": "redhat - https://access.redhat.com/hydra/rest/securitydata/cve/CVE-2026-34445.json" }, { "category": "description", "text": "Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the \"keys\" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.", "title": "debian - https://security-tracker.debian.org/tracker/CVE-2026-34445" }, { "category": "other", "text": "0.0004", "title": "EPSS" }, { "category": "other", "text": "4.1", "title": "NCSC Score" }, { "category": "other", "text": "The value of the most recent CVSS (V3) score, Is related to (a version of) an uncommon product", "title": "NCSC Score top decreasing factors" }, { "category": "details", "text": "Severity: 2\n", "title": "Vendor assessment" } ], "product_status": { "known_affected": [ "CSAFPID-5982384", "CSAFPID-1439279", "CSAFPID-5068100", "CSAFPID-5068105", "CSAFPID-5068108", "CSAFPID-5068110", "CSAFPID-5068114", "CSAFPID-5068116", "CSAFPID-5068126", "CSAFPID-5068128", "CSAFPID-5068131", "CSAFPID-5068134", "CSAFPID-5155537", "CSAFPID-5155538", "CSAFPID-5222767", "CSAFPID-5222780", "CSAFPID-5276225", "CSAFPID-2541970", "CSAFPID-2541971" ] }, "references": [ { "category": "external", "summary": "Source - cveprojectv5", "url": "https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2026/34xxx/CVE-2026-34445.json" }, { "category": "external", "summary": "Source - github", "url": "https://api.github.com/advisories/GHSA-538c-55jv-c5g9" }, { "category": "external", "summary": "Source - nvd", "url": "https://services.nvd.nist.gov/rest/json/cves/2.0?cveId=CVE-2026-34445" }, { "category": "external", "summary": "Source - redhat", "url": "https://access.redhat.com/hydra/rest/securitydata/cve/CVE-2026-34445.json" }, { "category": "external", "summary": "Source - debian", "url": "https://security-tracker.debian.org/tracker/CVE-2026-34445" }, { "category": "external", "summary": "Source - first", "url": "https://api.first.org/data/v1/epss?limit=10000&offset=0" }, { "category": "external", "summary": "Reference - cveprojectv5; github; nvd; redhat", "url": "https://github.com/onnx/onnx/security/advisories/GHSA-538c-55jv-c5g9" }, { "category": "external", "summary": "Reference - cveprojectv5; github; nvd; redhat", "url": "https://github.com/onnx/onnx/pull/7751" }, { "category": "external", "summary": "Reference - cveprojectv5; github; nvd; redhat", "url": "https://github.com/onnx/onnx/commit/e30c6935d67cc3eca2fa284e37248e7c0036c46b" }, { "category": "external", "summary": "Reference - github; redhat", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34445" }, { "category": "external", "summary": "Reference - github", "url": "https://github.com/advisories/GHSA-538c-55jv-c5g9" }, { "category": "external", "summary": "Reference - redhat", "url": "https://www.cve.org/CVERecord?id=CVE-2026-34445" } ], "scores": [ { "cvss_v3": { "version": "3.1", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H", "baseScore": 8.6, "baseSeverity": "HIGH" }, "products": [ "CSAFPID-1439279", "CSAFPID-2541970", "CSAFPID-2541971", "CSAFPID-5068100", "CSAFPID-5068105", "CSAFPID-5068108", "CSAFPID-5068110", "CSAFPID-5068114", "CSAFPID-5068116", "CSAFPID-5068126", "CSAFPID-5068128", "CSAFPID-5068131", "CSAFPID-5068134", "CSAFPID-5155537", "CSAFPID-5155538", "CSAFPID-5222767", "CSAFPID-5222780", "CSAFPID-5276225", "CSAFPID-5982384" ] } ], "title": "CVE-2026-34445" } ] }