Vulnerability-Lookup

CNVD-2015-02861

Vulnerability from cnvd - Published: 2015-05-05

Title

Pillow Jpeg2KImagePlugin插件拒绝服务漏洞

Description

Python Image Library（PIL）是瑞士软件开发者Fredrik Lundh所研发的一个Python图像处理库。Pillow是美国软件开发者Alex Clark所研发的一个对PIL一些BUG修正后的编译版。Jpeg2KImage是其中的一个图像处理插件。 Pillow Jpeg2KImagePlugin插件存在安全漏洞，允许远程攻击者通过特殊的图像文件，使应用程序崩溃。

Severity

中

Patch Name

Pillow Jpeg2KImagePlugin插件拒绝服务漏洞的补丁

Patch Description

Python Image Library（PIL）是瑞士软件开发者Fredrik Lundh所研发的一个Python图像处理库。Pillow是美国软件开发者Alex Clark所研发的一个对PIL一些BUG修正后的编译版。Jpeg2KImage是其中的一个图像处理插件。Pillow Jpeg2KImagePlugin插件存在安全漏洞，允许远程攻击者通过特殊的图像文件，使应用程序崩溃。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

用户可参考如下厂商提供的安全公告获取补丁以修复该漏洞： https://pypi.python.org/pypi/Pillow/2.5.3

Reference

http://lists.opensuse.org/opensuse-updates/2015-04/msg00056.html

Impacted products

Name
Python Pillow Jpeg2KImagePlugin

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2014-3598"
    }
  },
  "description": "Python Image Library\uff08PIL\uff09\u662f\u745e\u58eb\u8f6f\u4ef6\u5f00\u53d1\u8005Fredrik Lundh\u6240\u7814\u53d1\u7684\u4e00\u4e2aPython\u56fe\u50cf\u5904\u7406\u5e93\u3002Pillow\u662f\u7f8e\u56fd\u8f6f\u4ef6\u5f00\u53d1\u8005Alex Clark\u6240\u7814\u53d1\u7684\u4e00\u4e2a\u5bf9PIL\u4e00\u4e9bBUG\u4fee\u6b63\u540e\u7684\u7f16\u8bd1\u7248\u3002Jpeg2KImage\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u56fe\u50cf\u5904\u7406\u63d2\u4ef6\u3002 \r\n\r\nPillow Jpeg2KImagePlugin\u63d2\u4ef6\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u901a\u8fc7\u7279\u6b8a\u7684\u56fe\u50cf\u6587\u4ef6\uff0c\u4f7f\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\u3002",
  "discovererName": "unknown",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u53d6\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://pypi.python.org/pypi/Pillow/2.5.3",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-02861",
  "openTime": "2015-05-05",
  "patchDescription": "Python Image Library\uff08PIL\uff09\u662f\u745e\u58eb\u8f6f\u4ef6\u5f00\u53d1\u8005Fredrik Lundh\u6240\u7814\u53d1\u7684\u4e00\u4e2aPython\u56fe\u50cf\u5904\u7406\u5e93\u3002Pillow\u662f\u7f8e\u56fd\u8f6f\u4ef6\u5f00\u53d1\u8005Alex Clark\u6240\u7814\u53d1\u7684\u4e00\u4e2a\u5bf9PIL\u4e00\u4e9bBUG\u4fee\u6b63\u540e\u7684\u7f16\u8bd1\u7248\u3002Jpeg2KImage\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u56fe\u50cf\u5904\u7406\u63d2\u4ef6\u3002Pillow Jpeg2KImagePlugin\u63d2\u4ef6\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u901a\u8fc7\u7279\u6b8a\u7684\u56fe\u50cf\u6587\u4ef6\uff0c\u4f7f\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\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": "Pillow Jpeg2KImagePlugin\u63d2\u4ef6\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Python Pillow Jpeg2KImagePlugin"
  },
  "referenceLink": "http://lists.opensuse.org/opensuse-updates/2015-04/msg00056.html",
  "serverity": "\u4e2d",
  "submitTime": "2015-05-03",
  "title": "Pillow Jpeg2KImagePlugin\u63d2\u4ef6\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2014-3598 (GCVE-0-2014-3598)

Vulnerability from cvelistv5 – Published: 2015-05-01 15:00 – Updated: 2024-08-06 10:50

Summary

The Jpeg2KImagePlugin plugin in Pillow before 2.5.3 allows remote attackers to cause a denial of service via a crafted image.

Severity

No CVSS data available.

CWE

Assigner

redhat redhat root

References

2 references

URL	Tags
http://lists.opensuse.org/opensuse-updates/2015-0…	vendor-advisoryx_refsource_SUSE
https://pypi.python.org/pypi/Pillow/2.5.3	x_refsource_CONFIRM

Date Public

2015-04-29 00:00

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-06T10:50:17.052Z",
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          },
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            ],
            "url": "https://pypi.python.org/pypi/Pillow/2.5.3"
          }
        ],
        "title": "CVE Program Container"
      }
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    "cna": {
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        "dateUpdated": "2015-05-01T14:57:00.000Z",
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      },
      "references": [
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            "x_refsource_SUSE"
          ],
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        },
        {
          "tags": [
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          ],
          "url": "https://pypi.python.org/pypi/Pillow/2.5.3"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "secalert@redhat.com",
          "ID": "CVE-2014-3598",
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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.