GSD-2022-32746
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A flaw was found in the Samba AD LDAP server. The AD DC database audit logging module can access LDAP message values freed by a preceding database module, resulting in a use-after-free issue. This issue is only possible when modifying certain privileged attributes, such as userAccountControl.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-32746",
"description": "A flaw was found in the Samba AD LDAP server. The AD DC database audit logging module can access LDAP message values freed by a preceding database module, resulting in a use-after-free issue. This issue is only possible when modifying certain privileged attributes, such as userAccountControl.",
"id": "GSD-2022-32746",
"references": [
"https://security.archlinux.org/CVE-2022-32746",
"https://www.suse.com/security/cve/CVE-2022-32746.html",
"https://ubuntu.com/security/CVE-2022-32746",
"https://www.debian.org/security/2022/dsa-5205",
"https://advisories.mageia.org/CVE-2022-32746.html",
"https://alas.aws.amazon.com/cve/html/CVE-2022-32746.html",
"https://access.redhat.com/errata/RHSA-2022:7730",
"https://access.redhat.com/errata/RHSA-2022:8318"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
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"id": "GSD-2022-32746",
"modified": "2023-12-13T01:19:12.936798Z",
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{
"product": {
"product_data": [
{
"product_name": "samba",
"version": {
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{
"version_value": "Versions prior to samba 4.16.4, samba 4.15.9, samba 4.14.14"
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"references": {
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"name": "https://www.samba.org/samba/security/CVE-2022-32746.html",
"refsource": "MISC",
"url": "https://www.samba.org/samba/security/CVE-2022-32746.html"
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L",
"version": "3.1"
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},
"lastModifiedDate": "2023-09-17T09:15Z",
"publishedDate": "2022-08-25T18:15Z"
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}
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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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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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