CVE-2023-32665 (GCVE-0-2023-32665)
Vulnerability from cvelistv5 – Published: 2023-09-14 19:03 – Updated: 2025-02-13 16:54
VLAI
EPSS
VEX
Title
Gvariant deserialisation does not match spec for non-normal data
Summary
A flaw was found in GLib. GVariant deserialization is vulnerable to an exponential blowup issue where a crafted GVariant can cause excessive processing, leading to denial of service.
Severity
5.5 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2023-11-27 17:04 UTC
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://access.redhat.com/security/cve/CVE-2023-32665 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2211827 | issue-trackingx_refsource_REDHAT |
| https://gitlab.gnome.org/GNOME/glib/-/issues/2121 | |
| https://lists.debian.org/debian-lts-announce/2023… | |
| https://security.gentoo.org/glsa/202311-18 | |
| https://security.netapp.com/advisory/ntap-2024042… |
Impacted products
9 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | glib2 | |||
| Red Hat | Red Hat Enterprise Linux 6 |
cpe:/o:redhat:enterprise_linux:6
|
||
| Red Hat | Red Hat Enterprise Linux 7 |
cpe:/o:redhat:enterprise_linux:7
|
||
| Red Hat | Red Hat Enterprise Linux 8 |
cpe:/o:redhat:enterprise_linux:8
|
||
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9
|
||
| Fedora | Fedora 38 | guessed | ||
| Fedora | Extra Packages for Enterprise Linux | guessed | ||
| Fedora | Fedora | guessed | ||
| Fedora | Fedora 37 | guessed |
Date Public
2022-12-14 00:00
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"product": "Fedora 37",
"vendor": "Fedora"
}
],
"credits": [
{
"lang": "en",
"value": "Upstream acknowledges William Manley as the original reporter."
}
],
"datePublic": "2022-12-14T00:00:00.000Z",
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in GLib. GVariant deserialization is vulnerable to an exponential blowup issue where a crafted GVariant can cause excessive processing, leading to denial of service."
}
],
"metrics": [
{
"other": {
"content": {
"namespace": "https://access.redhat.com/security/updates/classification/",
"value": "Low"
},
"type": "Red Hat severity rating"
}
},
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"format": "CVSS"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-400",
"description": "Uncontrolled Resource Consumption",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-04-26T09:06:01.299Z",
"orgId": "53f830b8-0a3f-465b-8143-3b8a9948e749",
"shortName": "redhat"
},
"references": [
{
"tags": [
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],
"url": "https://access.redhat.com/security/cve/CVE-2023-32665"
},
{
"name": "RHBZ#2211827",
"tags": [
"issue-tracking",
"x_refsource_REDHAT"
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"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2211827"
},
{
"url": "https://gitlab.gnome.org/GNOME/glib/-/issues/2121"
},
{
"url": "https://lists.debian.org/debian-lts-announce/2023/09/msg00030.html"
},
{
"url": "https://security.gentoo.org/glsa/202311-18"
},
{
"url": "https://security.netapp.com/advisory/ntap-20240426-0006/"
}
],
"timeline": [
{
"lang": "en",
"time": "2023-05-24T00:00:00+00:00",
"value": "Reported to Red Hat."
},
{
"lang": "en",
"time": "2022-12-14T00:00:00+00:00",
"value": "Made public."
}
],
"title": "Gvariant deserialisation does not match spec for non-normal data",
"x_redhatCweChain": "CWE-400: Uncontrolled Resource Consumption"
}
},
"cveMetadata": {
"assignerOrgId": "53f830b8-0a3f-465b-8143-3b8a9948e749",
"assignerShortName": "redhat",
"cveId": "CVE-2023-32665",
"datePublished": "2023-09-14T19:03:58.229Z",
"dateReserved": "2023-05-30T11:48:42.074Z",
"dateUpdated": "2025-02-13T16:54:55.463Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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