Vulnerability from bitnami_vulndb
Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.
{
"affected": [
{
"package": {
"ecosystem": "Bitnami",
"name": "tensorflow",
"purl": "pkg:bitnami/tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.7.0"
},
{
"fixed": "2.7.1"
}
],
"type": "SEMVER"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
],
"aliases": [
"CVE-2022-23594"
],
"database_specific": {
"cpes": [
"cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*",
"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*"
],
"severity": "High"
},
"details": "Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.",
"id": "BIT-tensorflow-2022-23594",
"modified": "2026-09-10T15:46:03.895Z",
"published": "2024-03-06T11:14:43.924Z",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2"
},
{
"type": "ADVISORY",
"url": "https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport"
},
{
"type": "WEB",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23594"
}
],
"schema_version": "1.5.0",
"summary": "Out of bounds read in Tensorflow"
}
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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- 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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