FKIE_CVE-2023-34577
Vulnerability from fkie_nvd - Published: 2023-09-21 17:15 - Updated: 2026-06-17 06:03
Severity
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.8 (Critical) - CVSS:3.1/
Summary
SQL injection vulnerability in Prestashop opartplannedpopup 1.4.11 and earlier allows remote attackers to run arbitrary SQL commands via OpartPlannedPopupModuleFrontController::prepareHook() method.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://security.friendsofpresta.org/modules/2023/09/19/opartplannedpopup.html | Exploit, Patch, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://security.friendsofpresta.org/modules/2023/09/19/opartplannedpopup.html | Exploit, Patch, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| planned_popup_project | planned_popup | * |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:planned_popup_project:planned_popup:*:*:*:*:*:prestashop:*:*",
"matchCriteriaId": "8935A640-E4AE-42F6-AF42-F0B9A71F541F",
"versionEndExcluding": "1.4.12",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "SQL injection vulnerability in Prestashop opartplannedpopup 1.4.11 and earlier allows remote attackers to run arbitrary SQL commands via OpartPlannedPopupModuleFrontController::prepareHook() method."
},
{
"lang": "es",
"value": "Vulnerabilidad de inyecci\u00f3n SQL en Prestashop opartplannedpopup 1.4.11 y anteriores permite a atacantes remotos ejecutar comandos SQL de su elecci\u00f3n a trav\u00e9s del m\u00e9todo OpartPlannedPopupModuleFrontController::prepareHook()."
}
],
"id": "CVE-2023-34577",
"lastModified": "2026-06-17T06:03:48.110",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "cve@mitre.org",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2023-34577",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-09-24T18:18:57.091388Z",
"version": "2.0.3"
}
}
]
},
"published": "2023-09-21T17:15:16.050",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Patch",
"Third Party Advisory"
],
"url": "https://security.friendsofpresta.org/modules/2023/09/19/opartplannedpopup.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Patch",
"Third Party Advisory"
],
"url": "https://security.friendsofpresta.org/modules/2023/09/19/opartplannedpopup.html"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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