CVE-2023-32075 (GCVE-0-2023-32075)
Vulnerability from cvelistv5 – Published: 2023-05-11 16:39 – Updated: 2025-01-24 16:38
VLAI
EPSS
VEX
Title
Pimcore vulnerable to Business Logic Errors in Customer automation rules
Summary
The Customer Management Framework (CMF) for Pimcore adds functionality for customer data management. In `pimcore/customer-management-framework-bundle` prior to version 3.3.9, business logic errors are possible in the `Conditions` tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. Users should update to version 3.3.9 to receive a patch or, as a workaround, or apply the patch manually.
Severity
4.3 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-24 16:34 UTC
CWE
- CWE-20 - Improper Input Validation
- CWE-noinfo Not enough information
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/pimcore/customer-data-framewor… | x_refsource_CONFIRM |
| https://github.com/pimcore/customer-data-framewor… | x_refsource_MISC |
| https://github.com/pimcore/customer-data-framewor… | x_refsource_MISC |
| https://huntr.dev/bounties/cecd7800-a996-4f3a-868… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| pimcore | customer-data-framework |
Affected:
< 3.3.9
|
guessed |
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"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-01-24T16:38:02.995Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "customer-data-framework",
"vendor": "pimcore",
"versions": [
{
"status": "affected",
"version": "\u003c 3.3.9"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "The Customer Management Framework (CMF) for Pimcore adds functionality for customer data management. In `pimcore/customer-management-framework-bundle` prior to version 3.3.9, business logic errors are possible in the `Conditions` tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. Users should update to version 3.3.9 to receive a patch or, as a workaround, or apply the patch manually."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"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:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-20",
"description": "CWE-20: Improper Input Validation",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2023-05-11T16:39:37.634Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/pimcore/customer-data-framework/security/advisories/GHSA-x99j-r8vv-gwwj",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/pimcore/customer-data-framework/security/advisories/GHSA-x99j-r8vv-gwwj"
},
{
"name": "https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch"
},
{
"name": "https://github.com/pimcore/customer-data-framework/releases/tag/v3.3.9",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/pimcore/customer-data-framework/releases/tag/v3.3.9"
},
{
"name": "https://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/",
"tags": [
"x_refsource_MISC"
],
"url": "https://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/"
}
],
"source": {
"advisory": "GHSA-x99j-r8vv-gwwj",
"discovery": "UNKNOWN"
},
"title": "Pimcore vulnerable to Business Logic Errors in Customer automation rules"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2023-32075",
"datePublished": "2023-05-11T16:39:37.634Z",
"dateReserved": "2023-05-01T16:47:35.315Z",
"dateUpdated": "2025-01-24T16:38:09.717Z",
"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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