GSD-2021-24511
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
The fetch_product_ajax functionality in the Product Feed on WooCommerce WordPress plugin before 3.3.1.0 uses a `product_id` POST parameter which is not properly sanitised, escaped or validated before inserting to a SQL statement, leading to SQL injection.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-24511",
"description": "The fetch_product_ajax functionality in the Product Feed on WooCommerce WordPress plugin before 3.3.1.0 uses a `product_id` POST parameter which is not properly sanitised, escaped or validated before inserting to a SQL statement, leading to SQL injection.",
"id": "GSD-2021-24511"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-24511"
],
"details": "The fetch_product_ajax functionality in the Product Feed on WooCommerce WordPress plugin before 3.3.1.0 uses a `product_id` POST parameter which is not properly sanitised, escaped or validated before inserting to a SQL statement, leading to SQL injection.",
"id": "GSD-2021-24511",
"modified": "2023-12-13T01:23:37.173587Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "contact@wpscan.com",
"ID": "CVE-2021-24511",
"STATE": "PUBLIC",
"TITLE": "Create WooCommerce Product Feeds For 40+ Merchants \u003c 3.3.1.0 - Authenticated SQL Injection"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Product Feed on WooCommerce for Google, Awin, Shareasale, Bing, and More",
"version": {
"version_data": [
{
"version_affected": "\u003c",
"version_name": "3.3.1.0",
"version_value": "3.3.1.0"
}
]
}
}
]
},
"vendor_name": "Unknown"
}
]
}
},
"credit": [
{
"lang": "eng",
"value": "Syed Sheeraz Ali of Codevigilant"
}
],
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"description": {
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}
]
},
"generator": "WPScan CVE Generator",
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-89 SQL Injection"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://wpscan.com/vulnerability/0fa114a0-29df-4312-9138-eb9f0aedb3c5",
"refsource": "MISC",
"url": "https://wpscan.com/vulnerability/0fa114a0-29df-4312-9138-eb9f0aedb3c5"
},
{
"name": "https://codevigilant.com/disclosure/2021/wp-plugin-purple-xmls-google-product-feed-for-woocommerce/",
"refsource": "MISC",
"url": "https://codevigilant.com/disclosure/2021/wp-plugin-purple-xmls-google-product-feed-for-woocommerce/"
}
]
},
"source": {
"discovery": "UNKNOWN"
}
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:dpl:product_feed_on_woocommerce:*:*:*:*:*:wordpress:*:*",
"cpe_name": [],
"versionEndExcluding": "3.3.1.0",
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
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"ID": "CVE-2021-24511"
},
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"data_version": "4.0",
"description": {
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"value": "The fetch_product_ajax functionality in the Product Feed on WooCommerce WordPress plugin before 3.3.1.0 uses a `product_id` POST parameter which is not properly sanitised, escaped or validated before inserting to a SQL statement, leading to SQL injection."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
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},
"references": {
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{
"name": "https://wpscan.com/vulnerability/0fa114a0-29df-4312-9138-eb9f0aedb3c5",
"refsource": "MISC",
"tags": [
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],
"url": "https://wpscan.com/vulnerability/0fa114a0-29df-4312-9138-eb9f0aedb3c5"
},
{
"name": "https://codevigilant.com/disclosure/2021/wp-plugin-purple-xmls-google-product-feed-for-woocommerce/",
"refsource": "MISC",
"tags": [
"Exploit",
"Patch",
"Third Party Advisory"
],
"url": "https://codevigilant.com/disclosure/2021/wp-plugin-purple-xmls-google-product-feed-for-woocommerce/"
}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.2,
"baseSeverity": "HIGH",
"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:H",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 5.9
}
},
"lastModifiedDate": "2021-09-29T12:18Z",
"publishedDate": "2021-09-20T10:15Z"
}
}
}
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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 |
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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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