CVE-2023-28333 (GCVE-0-2023-28333)
Vulnerability from cvelistv5 – Published: 2023-03-23 00:00 – Updated: 2024-08-02 12:38
VLAI
EPSS
VEX
Title
Moodle: pix helper potential mustache code injection risk
Summary
The Mustache pix helper contained a potential Mustache injection risk if combined with user input (note: This did not appear to be implemented/exploitable anywhere in the core Moodle LMS).
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-22 19:17 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
- Improper Control of Generation of Code ('Code Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=2179422 | issue-trackingx_refsource_REDHAT |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisory |
| https://moodle.org/mod/forum/discuss.php?d=445065 |
Impacted products
Date Public
2023-03-20 04:00
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
},
{
"other": {
"content": {
"id": "CVE-2023-28333",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-04-22T19:17:41.582370Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-04-22T19:16:22.974Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"collectionURL": "https://git.moodle.org",
"defaultStatus": "unaffected",
"packageName": "moodle",
"versions": [
{
"lessThan": "4.1.2",
"status": "affected",
"version": "4.1.0",
"versionType": "semver"
},
{
"lessThan": "4.0.7",
"status": "affected",
"version": "4.0.0",
"versionType": "semver"
},
{
"lessThan": "3.11.13",
"status": "affected",
"version": "3.11.0",
"versionType": "semver"
},
{
"lessThan": "3.9.20",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"datePublic": "2023-03-20T04:00:00.000Z",
"descriptions": [
{
"lang": "en",
"value": "The Mustache pix helper contained a potential Mustache injection risk if combined with user input (note: This did not appear to be implemented/exploitable anywhere in the core Moodle LMS)."
}
],
"metrics": [
{
"other": {
"content": {
"namespace": "https://access.redhat.com/security/updates/classification/",
"value": "Moderate"
},
"type": "Red Hat severity rating"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-04-19T13:39:14.226Z",
"orgId": "92fb86c3-55a5-4fb5-9c3f-4757b9e96dc5",
"shortName": "fedora"
},
"references": [
{
"name": "RHBZ#2179422",
"tags": [
"issue-tracking",
"x_refsource_REDHAT"
],
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2179422"
},
{
"name": "FEDORA-2023-d9c13996b2",
"tags": [
"vendor-advisory"
],
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/3QZN34VSF4HTCW3C3ZP2OZYSLYUKADPF/"
},
{
"url": "https://moodle.org/mod/forum/discuss.php?d=445065"
}
],
"timeline": [
{
"lang": "en",
"time": "2023-03-10T00:00:00.000Z",
"value": "Reported to Red Hat."
},
{
"lang": "en",
"time": "2023-03-20T04:00:00.000Z",
"value": "Made public."
}
],
"title": "Moodle: pix helper potential mustache code injection risk",
"x_redhatCweChain": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)"
}
},
"cveMetadata": {
"assignerOrgId": "92fb86c3-55a5-4fb5-9c3f-4757b9e96dc5",
"assignerShortName": "fedora",
"cveId": "CVE-2023-28333",
"datePublished": "2023-03-23T00:00:00.000Z",
"dateReserved": "2023-03-14T00:00:00.000Z",
"dateUpdated": "2024-08-02T12:38:24.955Z",
"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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