GHSA-V768-W7M9-2VMM
Vulnerability from github – Published: 2021-08-25 14:41 – Updated: 2024-11-13 21:13
VLAI?
Summary
Reference binding to nullptr in shape inference
Details
Impact
An attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.SparseFillEmptyRows:
import tensorflow as tf
tf.compat.v1.disable_v2_behavior()
tf.raw_ops.SparseFillEmptyRows(
indices = tf.constant([], shape=[0, 0], dtype=tf.int64),
values = tf.constant([], shape=[0], dtype=tf.int64),
dense_shape = tf.constant([], shape=[0], dtype=tf.int64),
default_value = 0)
The shape inference implementation does not validate that the input arguments are not empty tensors.
Patches
We have patched the issue in GitHub commit 578e634b4f1c1c684d4b4294f9e5281b2133b3ed.
The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Yakun Zhang of Baidu Security
Severity ?
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.3.4"
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],
"type": "ECOSYSTEM"
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{
"package": {
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"name": "tensorflow"
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"ranges": [
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{
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},
{
"package": {
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"name": "tensorflow-cpu"
},
"ranges": [
{
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{
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},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
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"ranges": [
{
"events": [
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{
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"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.1"
}
],
"type": "ECOSYSTEM"
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"versions": [
"2.5.0"
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
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"ranges": [
{
"events": [
{
"introduced": "0"
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"fixed": "2.3.4"
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},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
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"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.3"
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},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.5.0"
]
}
],
"aliases": [
"CVE-2021-37676"
],
"database_specific": {
"cwe_ids": [
"CWE-824"
],
"github_reviewed": true,
"github_reviewed_at": "2021-08-24T15:44:08Z",
"nvd_published_at": "2021-08-12T22:15:00Z",
"severity": "HIGH"
},
"details": "### Impact\nAn attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.SparseFillEmptyRows`:\n\n```python\nimport tensorflow as tf\n \ntf.compat.v1.disable_v2_behavior()\ntf.raw_ops.SparseFillEmptyRows(\n indices = tf.constant([], shape=[0, 0], dtype=tf.int64),\n values = tf.constant([], shape=[0], dtype=tf.int64),\n dense_shape = tf.constant([], shape=[0], dtype=tf.int64),\n default_value = 0)\n```\n \nThe shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/sparse_ops.cc#L608-L634) does not validate that the input arguments are not empty tensors.\n\n### Patches \nWe have patched the issue in GitHub commit [578e634b4f1c1c684d4b4294f9e5281b2133b3ed](https://github.com/tensorflow/tensorflow/commit/578e634b4f1c1c684d4b4294f9e5281b2133b3ed).\n\nThe fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported by Yakun Zhang of Baidu Security",
"id": "GHSA-v768-w7m9-2vmm",
"modified": "2024-11-13T21:13:31Z",
"published": "2021-08-25T14:41:26Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v768-w7m9-2vmm"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37676"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/578e634b4f1c1c684d4b4294f9e5281b2133b3ed"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-589.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-787.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-298.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Reference binding to nullptr in shape inference"
}
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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