PYSEC-2023-188
Vulnerability from pysec - Published: 2023-09-29 17:15 - Updated: 2023-10-03 22:26
VLAI?
Details
When deserializing untrusted or corrupted data, it is possible for a reader to consume memory beyond the allowed constraints and thus lead to out of memory on the system.
This issue affects Java applications using Apache Avro Java SDK up to and including 1.11.2. Users should update to apache-avro version 1.11.3 which addresses this issue.
Severity ?
7.5 (High)
Impacted products
| Name | purl | avro | pkg:pypi/avro |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "avro",
"purl": "pkg:pypi/avro"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.11.3"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.10.0",
"1.10.1",
"1.10.2",
"1.11.0",
"1.11.1",
"1.11.2",
"1.3.3",
"1.4.1",
"1.5.0",
"1.5.1",
"1.5.2",
"1.5.3",
"1.5.4",
"1.6.0",
"1.6.1",
"1.6.2",
"1.6.3",
"1.7.0",
"1.7.1",
"1.7.2",
"1.7.3",
"1.7.4",
"1.7.5",
"1.7.6",
"1.7.7",
"1.8.0",
"1.8.1",
"1.8.2",
"1.9.0",
"1.9.1",
"1.9.2"
]
}
],
"aliases": [
"CVE-2023-39410"
],
"details": "When deserializing untrusted or corrupted data, it is possible for a reader to consume memory beyond the allowed constraints and thus lead to out of memory on the system.\n\nThis issue affects Java applications using Apache Avro Java SDK up to and including 1.11.2. Users should update to apache-avro version 1.11.3 which addresses this issue.\n\n",
"id": "PYSEC-2023-188",
"modified": "2023-10-03T22:26:25.361706+00:00",
"published": "2023-09-29T17:15:00+00:00",
"references": [
{
"type": "ARTICLE",
"url": "https://lists.apache.org/thread/q142wj99cwdd0jo5lvdoxzoymlqyjdds"
},
{
"type": "ADVISORY",
"url": "https://lists.apache.org/thread/q142wj99cwdd0jo5lvdoxzoymlqyjdds"
},
{
"type": "ARTICLE",
"url": "http://www.openwall.com/lists/oss-security/2023/09/29/6"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2023/09/29/6"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
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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