USN-6048-1 (UBUNTU-CVE-2020-36646)
Vulnerability from osv_ubuntu – Published: 2023-04-28 10:01 – Updated: 2026-06-29 10:53 – Source website
VLAI
Summary
ZenLib vulnerability
Details
It was discovered that ZenLib doesn't check the return value of a specific operation before using it. An attacker could use a specially crafted input to crash programs using the library.
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"database_specific": {
"cves_map": {
"cves": [
{
"id": "CVE-2020-36646",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
},
{
"score": "medium",
"type": "Ubuntu"
}
]
}
],
"ecosystem": "Ubuntu:Pro:14.04:LTS"
}
},
"ecosystem_specific": {
"availability": "Available with Ubuntu Pro (Infra-only): https://ubuntu.com/pro",
"binaries": [
{
"binary_name": "libzen0",
"binary_version": "0.4.29-1ubuntu0.1~esm1"
}
]
},
"package": {
"ecosystem": "Ubuntu:Pro:14.04:LTS",
"name": "libzen",
"purl": "pkg:deb/ubuntu/libzen@0.4.29-1ubuntu0.1~esm1?arch=source\u0026distro=trusty/esm"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.4.29-1ubuntu0.1~esm1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.4.29-1"
]
},
{
"database_specific": {
"cves_map": {
"cves": [
{
"id": "CVE-2020-36646",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
},
{
"score": "medium",
"type": "Ubuntu"
}
]
}
],
"ecosystem": "Ubuntu:Pro:16.04:LTS"
}
},
"ecosystem_specific": {
"availability": "Available with Ubuntu Pro: https://ubuntu.com/pro",
"binaries": [
{
"binary_name": "libzen0v5",
"binary_version": "0.4.32-1ubuntu0.16.04.1+esm1"
}
]
},
"package": {
"ecosystem": "Ubuntu:Pro:16.04:LTS",
"name": "libzen",
"purl": "pkg:deb/ubuntu/libzen@0.4.32-1ubuntu0.16.04.1+esm1?arch=source\u0026distro=esm-apps/xenial"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.4.32-1ubuntu0.16.04.1+esm1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.4.29-1ubuntu2",
"0.4.32-1",
"0.4.32-1ubuntu0.16.04.1"
]
},
{
"database_specific": {
"cves_map": {
"cves": [
{
"id": "CVE-2020-36646",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
},
{
"score": "medium",
"type": "Ubuntu"
}
]
}
],
"ecosystem": "Ubuntu:18.04:LTS"
}
},
"ecosystem_specific": {
"availability": "No subscription required",
"binaries": [
{
"binary_name": "libzen0v5",
"binary_version": "0.4.37-1ubuntu0.18.04.1"
}
]
},
"package": {
"ecosystem": "Ubuntu:18.04:LTS",
"name": "libzen",
"purl": "pkg:deb/ubuntu/libzen@0.4.37-1ubuntu0.18.04.1?arch=source\u0026distro=bionic"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.4.37-1ubuntu0.18.04.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.4.36-1",
"0.4.37-1"
]
},
{
"database_specific": {
"cves_map": {
"cves": [
{
"id": "CVE-2020-36646",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
},
{
"score": "medium",
"type": "Ubuntu"
}
]
}
],
"ecosystem": "Ubuntu:20.04:LTS"
}
},
"ecosystem_specific": {
"availability": "No subscription required",
"binaries": [
{
"binary_name": "libzen0v5",
"binary_version": "0.4.37-1ubuntu0.20.04.1"
}
]
},
"package": {
"ecosystem": "Ubuntu:20.04:LTS",
"name": "libzen",
"purl": "pkg:deb/ubuntu/libzen@0.4.37-1ubuntu0.20.04.1?arch=source\u0026distro=focal"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.4.37-1ubuntu0.20.04.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.4.37-1",
"0.4.37-1build1"
]
}
],
"aliases": [],
"details": "It was discovered that ZenLib doesn\u0027t check the return value of a specific\noperation before using it. An attacker could use a specially crafted input\nto crash programs using the library.\n",
"id": "USN-6048-1",
"modified": "2026-06-29T10:53:01Z",
"published": "2023-04-28T10:01:57Z",
"references": [
{
"type": "ADVISORY",
"url": "https://ubuntu.com/security/notices/USN-6048-1"
},
{
"type": "REPORT",
"url": "https://ubuntu.com/security/CVE-2020-36646"
}
],
"related": [],
"schema_version": "1.7.0",
"summary": "ZenLib vulnerability",
"upstream": [
"UBUNTU-CVE-2020-36646"
]
}
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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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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