GSD-2021-36800
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
Akaunting version 2.1.12 and earlier suffers from a code injection issue in the Money.php component of the application. A POST sent to /{company_id}/sales/invoices/{invoice_id} with an items[0][price] that includes a PHP callable function is executed directly. This issue was fixed in version 2.1.13 of the product.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-36800",
"description": "Akaunting version 2.1.12 and earlier suffers from a code injection issue in the Money.php component of the application. A POST sent to /{company_id}/sales/invoices/{invoice_id} with an items[0][price] that includes a PHP callable function is executed directly. This issue was fixed in version 2.1.13 of the product.",
"id": "GSD-2021-36800"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-36800"
],
"details": "Akaunting version 2.1.12 and earlier suffers from a code injection issue in the Money.php component of the application. A POST sent to /{company_id}/sales/invoices/{invoice_id} with an items[0][price] that includes a PHP callable function is executed directly. This issue was fixed in version 2.1.13 of the product.",
"id": "GSD-2021-36800",
"modified": "2023-12-13T01:23:16.841001Z",
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}
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"DATE_PUBLIC": "2021-07-27T13:05:00.000Z",
"ID": "CVE-2021-36800",
"STATE": "PUBLIC",
"TITLE": "Akaunting OS Command Injection in \u0027Money.php\u0027"
},
"affects": {
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{
"product": {
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}
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}
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}
},
"credit": [
{
"lang": "eng",
"value": "Wiktor S\u0119dkowski of Nokia and Trevor Christiansen of Rapid7 discovered and reported this issue through Rapid7\u0027s vulnerability disclosure program."
}
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}
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
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"url": "https://www.rapid7.com/blog/post/2021/07/27/multiple-open-source-web-app-vulnerabilities-fixed/"
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"source": {
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "COMPLETE",
"baseScore": 9.0,
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"integrityImpact": "COMPLETE",
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"version": "2.0"
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"exploitabilityScore": 8.0,
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"severity": "HIGH",
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},
"lastModifiedDate": "2021-08-11T14:05Z",
"publishedDate": "2021-08-04T23:15Z"
}
}
}
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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 |
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Nomenclature
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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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