PYSEC-2022-43189
Vulnerability from pysec - Published: 2022-01-29 23:15 - Updated: 2026-10-04 09:41
VLAI
Details
The query API in Casdoor before 1.13.1 has a SQL injection vulnerability related to the field and value parameters, as demonstrated by api/get-organizations.
Severity
7.5 (High)
Impacted products
| Name | purl | casdoor | pkg:pypi/casdoor |
|---|
Aliases
{
"affected": [
{
"ecosystem_specific": {},
"package": {
"ecosystem": "PyPI",
"name": "casdoor",
"purl": "pkg:pypi/casdoor"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.13.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.0.0",
"1.1.0",
"1.1.1",
"1.1.2",
"1.1.3",
"1.1.4",
"1.1.5",
"1.10.0",
"1.11.0",
"1.12.0",
"1.12.1",
"1.13.0",
"1.2.0",
"1.2.1",
"1.3.0",
"1.4.0",
"1.5.0",
"1.5.1",
"1.6.0",
"1.7.0",
"1.8.0",
"1.9.0"
]
}
],
"aliases": [
"CVE-2022-24124"
],
"details": "The query API in Casdoor before 1.13.1 has a SQL injection vulnerability related to the field and value parameters, as demonstrated by api/get-organizations.",
"id": "PYSEC-2022-43189",
"modified": "2026-10-04T09:41:52.857192Z",
"published": "2022-01-29T23:15:07.540Z",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/casdoor/casdoor/compare/v1.13.0...v1.13.1"
},
{
"type": "FIX",
"url": "https://github.com/casdoor/casdoor/issues/439"
},
{
"type": "FIX",
"url": "https://github.com/casdoor/casdoor/pull/442"
},
{
"type": "EVIDENCE",
"url": "http://packetstormsecurity.com/files/166163/Casdoor-1.13.0-SQL-Injection.html"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
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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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