Vulnerability-Lookup

CNVD-2022-55639

Vulnerability from cnvd - Published: 2022-08-04

Title

Foxit PDF Reader缓冲区溢出漏洞（CNVD-2022-55639）

Description

Foxit PDF Reader是中国福昕（Foxit）公司的一款PDF阅读器。 Foxit PDF Reader存在缓冲区溢出漏洞，该漏洞源于应用程序在处理某些JavaScript时未能正确验证对象的分配边界，攻击者可以利用该漏洞来泄露信息。

Severity

低

Patch Name

Foxit PDF Reader缓冲区溢出漏洞（CNVD-2022-55639）的补丁

Patch Description

Foxit PDF Reader是中国福昕（Foxit）公司的一款PDF阅读器。 Foxit PDF Reader存在缓冲区溢出漏洞，该漏洞源于应用程序在处理某些JavaScript时未能正确验证对象的分配边界，攻击者可以利用该漏洞来泄露信息。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

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://www.foxit.com/support/security-bulletins.html

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-34875

Impacted products

Name
['Foxit Foxit PDF Reader <=11.2.2.53575', 'Foxit Foxit PDF Editor 11.*，<=11.2.2.53575', 'Foxit Foxit PDF Editor <=10.1.8.37795']

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-34875",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-34875"
    }
  },
  "description": "Foxit PDF Reader\u662f\u4e2d\u56fd\u798f\u6615\uff08Foxit\uff09\u516c\u53f8\u7684\u4e00\u6b3ePDF\u9605\u8bfb\u5668\u3002\n\nFoxit PDF Reader\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u7a0b\u5e8f\u5728\u5904\u7406\u67d0\u4e9bJavaScript\u65f6\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u5bf9\u8c61\u7684\u5206\u914d\u8fb9\u754c\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u6765\u6cc4\u9732\u4fe1\u606f\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://www.foxit.com/support/security-bulletins.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-55639",
  "openTime": "2022-08-04",
  "patchDescription": "Foxit PDF Reader\u662f\u4e2d\u56fd\u798f\u6615\uff08Foxit\uff09\u516c\u53f8\u7684\u4e00\u6b3ePDF\u9605\u8bfb\u5668\u3002\r\n\r\nFoxit PDF Reader\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u7a0b\u5e8f\u5728\u5904\u7406\u67d0\u4e9bJavaScript\u65f6\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u5bf9\u8c61\u7684\u5206\u914d\u8fb9\u754c\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u6765\u6cc4\u9732\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 PDF Reader\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2022-55639\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Foxit Foxit PDF Reader \u003c=11.2.2.53575",
      "Foxit Foxit PDF Editor 11.*\uff0c\u003c=11.2.2.53575",
      "Foxit Foxit PDF Editor \u003c=10.1.8.37795"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-34875",
  "serverity": "\u4f4e",
  "submitTime": "2022-07-21",
  "title": "Foxit PDF Reader\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2022-55639\uff09"
}

CVE-2022-34875 (GCVE-0-2022-34875)

Vulnerability from cvelistv5 – Published: 2022-07-18 18:42 – Updated: 2025-04-29 18:54

Summary

This vulnerability allows remote attackers to disclose sensitive information on affected installations of Foxit PDF Reader 11.2.1.53537. 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 ADBC objects. By performing actions in JavaScript, an attacker can trigger a read past the end of an allocated object. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the current process. Was ZDI-CAN-16981.

Severity

3.3 (Low)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-29 18:54 UTC

CWE

CWE-125 - Out-of-bounds Read

Assigner

zdi mitre root

References

2 references

URL	Tags
https://www.foxit.com/support/security-bulletins.html	x_refsource_MISC
https://www.zerodayinitiative.com/advisories/ZDI-…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Foxit	PDF Reader	Affected: 11.2.1.53537

Credits

Mat Powell of Trend Micro Zero Day Initiative

Show details on NVD website

JSON

To clipboard

{
  "containers": {
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      {
        "providerMetadata": {
          "dateUpdated": "2024-08-03T09:22:10.808Z",
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              "x_transferred"
            ],
            "url": "https://www.foxit.com/support/security-bulletins.html"
          },
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              "x_transferred"
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            "url": "https://www.zerodayinitiative.com/advisories/ZDI-22-950/"
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        ],
        "title": "CVE Program Container"
      },
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        "metrics": [
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            "other": {
              "content": {
                "id": "CVE-2022-34875",
                "options": [
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                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-04-29T18:54:28.365490Z",
                "version": "2.0.3"
              },
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        ],
        "providerMetadata": {
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          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
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          "vendor": "Foxit",
          "versions": [
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              "status": "affected",
              "version": "11.2.1.53537"
            }
          ]
        }
      ],
      "credits": [
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        }
      ],
      "metrics": [
        {
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            "attackVector": "LOCAL",
            "availabilityImpact": "NONE",
            "baseScore": 3.3,
            "baseSeverity": "LOW",
            "confidentialityImpact": "LOW",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
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      "x_legacyV4Record": {
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            },
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              "name": "https://www.zerodayinitiative.com/advisories/ZDI-22-950/",
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              "url": "https://www.zerodayinitiative.com/advisories/ZDI-22-950/"
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  },
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    "assignerShortName": "zdi",
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    "datePublished": "2022-07-18T18:42:33.000Z",
    "dateReserved": "2022-06-30T00:00:00.000Z",
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    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.