CVE-2022-23558
mediumPriorität · verfolgen · 35EPSS 0.008 · 57. PerzentilEUUSEPSS · bewertet 2026-10-27
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
cvss
Technischer Schweregrad, 0–10. Eine Zeile je Quelle.
Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen⚠ Quellen uneinig · medium–high · 6.5–8.8
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betroffene Produkte (18)
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Advisories (5)
Hersteller- und Ökosystem-Meldungen dazu.
- GHSA-9gwq-6cwj-47h3Integer overflow in TFLite array creation2022-02-09ghsa · osvUS
### Impact An attacker can craft a TFLite model that would cause an integer overflow [in `TfLiteIntArrayCreate`](https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60): ```cc TfLiteIntArray* TfLiteIntArrayCreate(int size) { int alloc_size = TfLiteIntArrayGetSizeInBytes(size); // ... TfLiteIntArray* ret = (TfLiteIntArray*)malloc(alloc_size); // ... } ``` The [`TfLiteIntArrayGetSizeInBytes`](https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33) returns an `int` instead of a `size_t`: ```cc int TfLiteIntArrayGetSizeInBytes(int size) { static TfLiteIntArray dummy; int computed_size = sizeof(dummy) + sizeof(dummy.data[0]) * size; #if defined(_MSC_VER) // Context for why this is needed is in http://b/189926408#comment21 computed_size -= sizeof(dummy.data[0]); #endif return computed_size; } ``` An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. ### Patches We have patched the issue in GitHub commit [a1e1511dde36b3f8aa27a6ec630838e7ea40e091](https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. ### For more information Please 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. ### Attribution This vulnerability has been reported by Wang Xuan of Qihoo 360 AIVul Team.
- BIT-tensorflow-2022-23558Integer overflow in TFLite array creation2024-03-06vendor · osvUS
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
- PYSEC-2022-1222022-02-04vendor · osvUS
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
- PYSEC-2022-672022-02-04vendor · osvUS
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
- PYSEC-2026-3151Integer overflow in TFLite array creation2026-07-09vendor · osvUS
### Impact An attacker can craft a TFLite model that would cause an integer overflow [in `TfLiteIntArrayCreate`](https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60): ```cc TfLiteIntArray* TfLiteIntArrayCreate(int size) { int alloc_size = TfLiteIntArrayGetSizeInBytes(size); // ... TfLiteIntArray* ret = (TfLiteIntArray*)malloc(alloc_size); // ... } ``` The [`TfLiteIntArrayGetSizeInBytes`](https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33) returns an `int` instead of a `size_t`: ```cc int TfLiteIntArrayGetSizeInBytes(int size) { static TfLiteIntArray dummy; int computed_size = sizeof(dummy) + sizeof(dummy.data[0]) * size; #if defined(_MSC_VER) // Context for why this is needed is in http://b/189926408#comment21 computed_size -= sizeof(dummy.data[0]); #endif return computed_size; } ``` An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. ### Patches We have patched the issue in GitHub commit [a1e1511dde36b3f8aa27a6ec630838e7ea40e091](https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. ### For more information Please 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. ### Attribution This vulnerability has been reported by Wang Xuan of Qihoo 360 AIVul Team.
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Referenzen (13)
Externe Belege — Patches, Meldungen, Analysen.
- https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33cnnvd
- https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60cnnvd
- https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091cnnvd
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9gwq-6cwj-47h3cnnvd
- https://nvd.nist.gov/vuln/detail/CVE-2022-23558cnnvd
- https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33enisa_euvd
- https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60enisa_euvd
- https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091enisa_euvd
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