CNVD-2021-24246
Vulnerability from cnvd - Published: 2021-03-31
VLAI
Title
Apache PDFBox内存溢出漏洞
Description
Apache PDFBox是美国阿帕奇（Apache）基金会的一款基于Java语言的开源工具库。该产品提供PDF文档创建和编辑等功能。
Apache PDFBox存在安全漏洞，该漏洞源于精心制作的PDF文件可以在加载文件时触发OutOfMemory-Exception异常。目前没有详细的漏洞细节提供。
Severity
中
Patch Name
Apache PDFBox内存溢出漏洞的补丁
Patch Description
Apache PDFBox是美国阿帕奇（Apache）基金会的一款基于Java语言的开源工具库。该产品提供PDF文档创建和编辑等功能。
Apache PDFBox存在安全漏洞，该漏洞源于精心制作的PDF文件可以在加载文件时触发OutOfMemory-Exception异常。目前没有详细的漏洞细节提供。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。
Formal description
厂商已发布了漏洞修复程序，请及时关注更新： https://apache.org/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-27906
Impacted products
| Name | ['Apache PDFBox 2.0.22', 'Apache PDFBox <2.0.*'] |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2021-27906",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-27906"
}
},
"description": "Apache PDFBox\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u57fa\u4e8eJava\u8bed\u8a00\u7684\u5f00\u6e90\u5de5\u5177\u5e93\u3002\u8be5\u4ea7\u54c1\u63d0\u4f9bPDF\u6587\u6863\u521b\u5efa\u548c\u7f16\u8f91\u7b49\u529f\u80fd\u3002\n\nApache PDFBox\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7cbe\u5fc3\u5236\u4f5c\u7684PDF\u6587\u4ef6\u53ef\u4ee5\u5728\u52a0\u8f7d\u6587\u4ef6\u65f6\u89e6\u53d1OutOfMemory-Exception\u5f02\u5e38\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
"formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://apache.org/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2021-24246",
"openTime": "2021-03-31",
"patchDescription": "Apache PDFBox\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u57fa\u4e8eJava\u8bed\u8a00\u7684\u5f00\u6e90\u5de5\u5177\u5e93\u3002\u8be5\u4ea7\u54c1\u63d0\u4f9bPDF\u6587\u6863\u521b\u5efa\u548c\u7f16\u8f91\u7b49\u529f\u80fd\u3002\r\n\r\nApache PDFBox\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7cbe\u5fc3\u5236\u4f5c\u7684PDF\u6587\u4ef6\u53ef\u4ee5\u5728\u52a0\u8f7d\u6587\u4ef6\u65f6\u89e6\u53d1OutOfMemory-Exception\u5f02\u5e38\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
"patchName": "Apache PDFBox\u5185\u5b58\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": [
"Apache PDFBox 2.0.22",
"Apache PDFBox \u003c2.0.*"
]
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-27906",
"serverity": "\u4e2d",
"submitTime": "2021-03-22",
"title": "Apache PDFBox\u5185\u5b58\u6ea2\u51fa\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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