CVE-2024-41804 (GCVE-0-2024-41804)
Vulnerability from cvelistv5 – Published: 2024-07-30 15:51 – Updated: 2024-08-02 04:46
VLAI
EPSS
VEX
Title
Xibo allows Sensitive Information Disclosure abusing SQL Injection in Xibo CMS DataSet Column Formula
Summary
Xibo is a content management system (CMS). An SQL injection vulnerability was discovered in the API route inside the CMS responsible for Adding/Editing DataSet Column Formulas. This allows an authenticated user to to obtain and modify arbitrary data from the Xibo database by injecting specially crafted values in to the `formula` parameter. Users should upgrade to version 3.3.12 or 4.0.14 which fix this issue.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-30 16:22 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/xibosignage/xibo-cms/security/… | x_refsource_CONFIRM |
| https://github.com/xibosignage/xibo-cms/commit/39… | x_refsource_MISC |
| https://xibosignage.com/blog/security-advisory-2024-07 | x_refsource_MISC |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| xibosignage | xibo-cms |
Affected:
=> 2.1.0, < 3.3.12
Affected: => 4.0.0-alpha, < 4.0.14 |
guessed | |
| xibosignage | xibo |
Affected:
2.1.0 , < 3.3.12
(custom)
cpe:2.3:a:xibosignage:xibo:2.1.0:*:*:*:*:*:*:* |
||
| xibosignage | xibo |
Affected:
4.0.0 , < 4.0.14
(custom)
cpe:2.3:a:xibosignage:xibo:4.0.0:alpha:*:*:*:*:*:* |
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"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2024-07-30T16:27:56.192Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "xibo-cms",
"vendor": "xibosignage",
"versions": [
{
"status": "affected",
"version": "=\u003e 2.1.0, \u003c 3.3.12"
},
{
"status": "affected",
"version": "=\u003e 4.0.0-alpha, \u003c 4.0.14"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Xibo is a content management system (CMS). An SQL injection vulnerability was discovered in the API route inside the CMS responsible for Adding/Editing DataSet Column Formulas. This allows an authenticated user to to obtain and modify arbitrary data from the Xibo database by injecting specially crafted values in to the `formula` parameter. Users should upgrade to version 3.3.12 or 4.0.14 which fix this issue."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-89",
"description": "CWE-89: Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-07-30T15:51:53.961Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/xibosignage/xibo-cms/security/advisories/GHSA-4pp3-4mw7-qfwr",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/xibosignage/xibo-cms/security/advisories/GHSA-4pp3-4mw7-qfwr"
},
{
"name": "https://github.com/xibosignage/xibo-cms/commit/39a2fd54b3f08831b0004aa2015bd8a753bc567f.patch",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/xibosignage/xibo-cms/commit/39a2fd54b3f08831b0004aa2015bd8a753bc567f.patch"
},
{
"name": "https://xibosignage.com/blog/security-advisory-2024-07",
"tags": [
"x_refsource_MISC"
],
"url": "https://xibosignage.com/blog/security-advisory-2024-07"
}
],
"source": {
"advisory": "GHSA-4pp3-4mw7-qfwr",
"discovery": "UNKNOWN"
},
"title": "Xibo allows Sensitive Information Disclosure abusing SQL Injection in Xibo CMS DataSet Column Formula"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2024-41804",
"datePublished": "2024-07-30T15:51:53.961Z",
"dateReserved": "2024-07-22T13:57:37.135Z",
"dateUpdated": "2024-08-02T04:46:52.668Z",
"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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