oesa-2022-2086
Vulnerability from osv_openeuler
Published
2022-11-11 11:05
Modified
2026-08-06 11:05
Summary
python-pillow security update
Details
Security Fix(es):
Pillow before 9.0.1 allows attackers to delete files because spaces in temporary pathnames are mishandled.(CVE-2022-24303)
Severity
5.9 (Medium)
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"aarch64": [
"python3-pillow-devel-9.0.1-2.oe2203.aarch64.rpm",
"python-pillow-debugsource-9.0.1-2.oe2203.aarch64.rpm",
"python3-pillow-9.0.1-2.oe2203.aarch64.rpm",
"python3-pillow-tk-9.0.1-2.oe2203.aarch64.rpm",
"python3-pillow-qt-9.0.1-2.oe2203.aarch64.rpm",
"python-pillow-debuginfo-9.0.1-2.oe2203.aarch64.rpm"
],
"noarch": [
"python3-pillow-help-9.0.1-2.oe2203.noarch.rpm"
],
"src": [
"python-pillow-9.0.1-2.oe2203.src.rpm"
],
"x86_64": [
"python3-pillow-devel-9.0.1-2.oe2203.x86_64.rpm",
"python3-pillow-qt-9.0.1-2.oe2203.x86_64.rpm",
"python-pillow-debuginfo-9.0.1-2.oe2203.x86_64.rpm",
"python-pillow-debugsource-9.0.1-2.oe2203.x86_64.rpm",
"python3-pillow-tk-9.0.1-2.oe2203.x86_64.rpm",
"python3-pillow-9.0.1-2.oe2203.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:22.03-LTS",
"name": "python-pillow",
"purl": "pkg:rpm/openEuler/python-pillow\u0026distro=openEuler-22.03-LTS"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "9.0.1-2.oe2203"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"severity": "Medium"
},
"details": "\r\n\r\nSecurity Fix(es):\r\n\r\nPillow before 9.0.1 allows attackers to delete files because spaces in temporary pathnames are mishandled.(CVE-2022-24303)",
"id": "OESA-2022-2086",
"modified": "2026-08-06T11:05:24Z",
"published": "2022-11-11T11:05:24Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/en/security/safety-bulletin/detail.html?id=openEuler-SA-2022-2086"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-24303"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N",
"type": "CVSS_V3"
}
],
"summary": "python-pillow security update",
"upstream": [
"CVE-2022-24303"
]
}
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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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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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