GSD-2021-37593
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
PEEL Shopping version 9.4.0 allows remote SQL injection. A public user/guest (unauthenticated) can inject a malicious SQL query in order to affect the execution of predefined SQL commands. Upon a successful SQL injection attack, an attacker can read sensitive data from the database and possibly modify database data.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-37593",
"description": "PEEL Shopping version 9.4.0 allows remote SQL injection. A public user/guest (unauthenticated) can inject a malicious SQL query in order to affect the execution of predefined SQL commands. Upon a successful SQL injection attack, an attacker can read sensitive data from the database and possibly modify database data.",
"id": "GSD-2021-37593"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-37593"
],
"details": "PEEL Shopping version 9.4.0 allows remote SQL injection. A public user/guest (unauthenticated) can inject a malicious SQL query in order to affect the execution of predefined SQL commands. Upon a successful SQL injection attack, an attacker can read sensitive data from the database and possibly modify database data.",
"id": "GSD-2021-37593",
"modified": "2023-12-13T01:23:09.506061Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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}
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"name": "https://github.com/advisto/peel-shopping/issues/3",
"refsource": "MISC",
"url": "https://github.com/advisto/peel-shopping/issues/3"
},
{
"name": "http://www.netbytesec.com/advisories/UnauthenticatedBlindSQLInjectionVulnerabilityInPEELShopping/",
"refsource": "MISC",
"url": "http://www.netbytesec.com/advisories/UnauthenticatedBlindSQLInjectionVulnerabilityInPEELShopping/"
},
{
"name": "https://github.com/faisalfs10x/CVE-IDs/blob/main/2021/CVE-2021-37593/Proof_of_Concept.md",
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"url": "https://github.com/faisalfs10x/CVE-IDs/blob/main/2021/CVE-2021-37593/Proof_of_Concept.md"
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]
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"cpe_match": [
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}
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"problemtype": {
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],
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 6.4,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 9.1,
"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:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.2
}
},
"lastModifiedDate": "2021-09-21T19:24Z",
"publishedDate": "2021-07-30T14:15Z"
}
}
}
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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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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