Vulnerability-Lookup

CNVD-2020-62458

Vulnerability from cnvd - Published: 2020-11-12

Title

Foxit PhantomPDF信息泄露漏洞（CNVD-2020-62458）

Description

PhantomPDF是中国福昕（Foxit）公司的一款面向企业级用户的PDF文档处理软件。 Foxit PhantomPDF对嵌入在PDF文件中的U3D对象的处理存在信息泄露漏洞。该漏洞源于对用户提供的数据验证不当。攻击者可利用该漏洞获取敏感信息。

Severity

低

Patch Name

Foxit PhantomPDF信息泄露漏洞（CNVD-2020-62458）的补丁

Patch Description

PhantomPDF是中国福昕（Foxit）公司的一款面向企业级用户的PDF文档处理软件。 Foxit PhantomPDF对嵌入在PDF文件中的U3D对象的处理存在信息泄露漏洞。该漏洞源于对用户提供的数据验证不当。攻击者可利用该漏洞获取敏感信息。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://www.foxitsoftware.com/support/security-bulletins.html

Reference

https://www.zerodayinitiative.com/advisories/ZDI-20-1229/ https://nvd.nist.gov/vuln/detail/CVE-2020-17411

Impacted products

Name
Foxit PhantomPDF 10.0.0.35798

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-17411",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-17411"
    }
  },
  "description": "PhantomPDF\u662f\u4e2d\u56fd\u798f\u6615\uff08Foxit\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u9762\u5411\u4f01\u4e1a\u7ea7\u7528\u6237\u7684PDF\u6587\u6863\u5904\u7406\u8f6f\u4ef6\u3002\n\nFoxit PhantomPDF\u5bf9\u5d4c\u5165\u5728PDF\u6587\u4ef6\u4e2d\u7684U3D\u5bf9\u8c61\u7684\u5904\u7406\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u9a8c\u8bc1\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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://www.foxitsoftware.com/support/security-bulletins.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-62458",
  "openTime": "2020-11-12",
  "patchDescription": "PhantomPDF\u662f\u4e2d\u56fd\u798f\u6615\uff08Foxit\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u9762\u5411\u4f01\u4e1a\u7ea7\u7528\u6237\u7684PDF\u6587\u6863\u5904\u7406\u8f6f\u4ef6\u3002\r\n\r\nFoxit PhantomPDF\u5bf9\u5d4c\u5165\u5728PDF\u6587\u4ef6\u4e2d\u7684U3D\u5bf9\u8c61\u7684\u5904\u7406\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u9a8c\u8bc1\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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": "Foxit PhantomPDF\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2020-62458\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Foxit PhantomPDF 10.0.0.35798"
  },
  "referenceLink": "https://www.zerodayinitiative.com/advisories/ZDI-20-1229/\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2020-17411",
  "serverity": "\u4f4e",
  "submitTime": "2020-09-30",
  "title": "Foxit PhantomPDF\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2020-62458\uff09"
}

CVE-2020-17411 (GCVE-0-2020-17411)

Vulnerability from cvelistv5 – Published: 2020-10-13 17:10 – Updated: 2024-08-04 13:53

Summary

This vulnerability allows remote attackers to disclose sensitive information on affected installations of Foxit PhantomPDF 10.0.0.35798. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the handling of U3D objects embedded in PDF files. The issue results from the lack of proper validation of user-supplied data, which can result in a read past the end of an allocated object. An attacker can leverage this in conjunction with other vulnerabilities to execute code in the context of the current process. Was ZDI-CAN-11190.

Severity

3.3 (Low)


                        
                          CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N

CWE

CWE-125 - Out-of-bounds Read

Assigner

zdi mitre root

References

2 references

URL	Tags
https://www.foxitsoftware.com/support/security-bu…	x_refsource_MISC
https://www.zerodayinitiative.com/advisories/ZDI-…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Foxit	PhantomPDF	Affected: 10.0.0.35798

Credits

Mat Powell of Trend Micro Zero Day Initiative

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-04T13:53:16.743Z",
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        ],
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    ],
    "cna": {
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        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "NONE",
            "baseScore": 3.3,
            "baseSeverity": "LOW",
            "confidentialityImpact": "LOW",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
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          ],
          "url": "https://www.zerodayinitiative.com/advisories/ZDI-20-1229/"
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      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
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          "ID": "CVE-2020-17411",
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        },
        "affects": {
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            "vendor_data": [
              {
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                      "product_name": "PhantomPDF",
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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.

Detection rules are retrieved from Rulezet.

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.

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.