CNVD-2024-46012
Vulnerability from cnvd - Published: 2024-11-26
VLAI
Title
PandasAI命令注入漏洞
Description
PandasAI是一个将数据操作分析库Pandas与AI相结合的数据处理应用，用户可以通过自然语言与数据进行交互，而无需编写复杂的代码。
PandasAI存在命令注入漏洞，攻击者可利用该漏洞执行恶意命令。目前暂无漏洞细节。
Severity
高
Formal description
厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://github.com/gventuri/pandas-ai
Reference
https://github.com/gventuri/pandas-ai
Impacted products
| Name | PandasAI PandasAI |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2024-9880"
}
},
"description": "PandasAI\u662f\u4e00\u4e2a\u5c06\u6570\u636e\u64cd\u4f5c\u5206\u6790\u5e93Pandas\u4e0eAI\u76f8\u7ed3\u5408\u7684\u6570\u636e\u5904\u7406\u5e94\u7528\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u4e0e\u6570\u636e\u8fdb\u884c\u4ea4\u4e92\uff0c\u800c\u65e0\u9700\u7f16\u5199\u590d\u6742\u7684\u4ee3\u7801\u3002\n\nPandasAI\u5b58\u5728\u547d\u4ee4\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u6076\u610f\u547d\u4ee4\u3002\u76ee\u524d\u6682\u65e0\u6f0f\u6d1e\u7ec6\u8282\u3002",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://github.com/gventuri/pandas-ai",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2024-46012",
"openTime": "2024-11-26",
"products": {
"product": "PandasAI PandasAI"
},
"referenceLink": "https://github.com/gventuri/pandas-ai",
"serverity": "\u9ad8",
"submitTime": "2024-11-26",
"title": "PandasAI\u547d\u4ee4\u6ce8\u5165\u6f0f\u6d1e"
}
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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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