Vulnerability from bitnami_vulndb
Published
2024-03-06 11:20
Modified
2025-05-20 10:02
Summary
CHECK-fail in LSTM with zero-length input in TensorFlow
Details
In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
{
"affected": [
{
"package": {
"ecosystem": "Bitnami",
"name": "tensorflow",
"purl": "pkg:bitnami/tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.15.5"
},
{
"introduced": "2.0.0"
},
{
"fixed": "2.0.4"
},
{
"introduced": "2.1.0"
},
{
"fixed": "2.1.3"
},
{
"introduced": "2.2.0"
},
{
"fixed": "2.2.2"
},
{
"introduced": "2.3.0"
},
{
"fixed": "2.3.2"
}
],
"type": "SEMVER"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
}
]
}
],
"aliases": [
"CVE-2020-26270"
],
"database_specific": {
"cpes": [
"cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*"
],
"severity": "Low"
},
"details": "In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.",
"id": "BIT-tensorflow-2020-26270",
"modified": "2025-05-20T10:02:07.006Z",
"published": "2024-03-06T11:20:13.620Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/14755416e364f17fb1870882fa778c7fec7f16e3"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m648-33qf-v3gp"
},
{
"type": "WEB",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-26270"
}
],
"schema_version": "1.5.0",
"summary": "CHECK-fail in LSTM with zero-length input in TensorFlow"
}
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Sightings
| Author | Source | Type | Date |
|---|
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.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- 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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