Vulnerability-Lookup

CNVD-2017-35045

Vulnerability from cnvd - Published: 2017-11-27

Title

LibRaw越边界读取漏洞

Description

LibRaw是LibRaw团队开发的一个用来处理RAW(CRW/CR2、NEF、RAF、DNG和others)格式图片的C++库。 LibRaw 0.18.4及之前的版本中的dcraw/dcraw.c文件和internal/dcraw_common.cpp文件存在越边界读取漏洞。攻击者可利用该漏洞泄露敏感信息或造成拒绝服务（应用程序崩溃）。

Severity

中

Patch Name

LibRaw越边界读取漏洞的补丁

Patch Description

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://github.com/LibRaw/LibRaw/commit/d13e8f6d1e987b7491182040a188c16a395f1d21

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-14608

Impacted products

Name
LibRaw LibRaw <0.18.4

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-14608"
    }
  },
  "description": "LibRaw\u662fLibRaw\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u4e2a\u7528\u6765\u5904\u7406RAW(CRW/CR2\u3001NEF\u3001RAF\u3001DNG\u548cothers)\u683c\u5f0f\u56fe\u7247\u7684C++\u5e93\u3002\r\n\r\nLibRaw 0.18.4\u53ca\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684dcraw/dcraw.c\u6587\u4ef6\u548cinternal/dcraw_common.cpp\u6587\u4ef6\u5b58\u5728\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u654f\u611f\u4fe1\u606f\u6216\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff09\u3002",
  "discovererName": "unknwon",
  "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://github.com/LibRaw/LibRaw/commit/d13e8f6d1e987b7491182040a188c16a395f1d21",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-35045",
  "openTime": "2017-11-27",
  "patchDescription": "LibRaw\u662fLibRaw\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u4e2a\u7528\u6765\u5904\u7406RAW(CRW/CR2\u3001NEF\u3001RAF\u3001DNG\u548cothers)\u683c\u5f0f\u56fe\u7247\u7684C++\u5e93\u3002\r\n\r\nLibRaw 0.18.4\u53ca\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684dcraw/dcraw.c\u6587\u4ef6\u548cinternal/dcraw_common.cpp\u6587\u4ef6\u5b58\u5728\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u654f\u611f\u4fe1\u606f\u6216\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff09\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": "LibRaw\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "LibRaw LibRaw \u003c0.18.4"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-14608",
  "serverity": "\u4e2d",
  "submitTime": "2017-09-21",
  "title": "LibRaw\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e"
}

CVE-2017-14608 (GCVE-0-2017-14608)

Vulnerability from cvelistv5 – Published: 2017-09-20 17:00 – Updated: 2024-08-05 19:34

Summary

In LibRaw through 0.18.4, an out of bounds read flaw related to kodak_65000_load_raw has been reported in dcraw/dcraw.c and internal/dcraw_common.cpp. An attacker could possibly exploit this flaw to disclose potentially sensitive memory or cause an application crash.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://github.com/LibRaw/LibRaw/commit/d13e8f6d1…	x_refsource_CONFIRM
https://github.com/LibRaw/LibRaw/issues/101	x_refsource_CONFIRM

Date Public

2017-09-20 00:00

Show details on NVD website

JSON

To clipboard

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            "url": "https://github.com/LibRaw/LibRaw/issues/101"
          }
        ],
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      }
    ],
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      "providerMetadata": {
        "dateUpdated": "2017-09-20T17:57:01.000Z",
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        },
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            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/LibRaw/LibRaw/issues/101"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
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            "vendor_data": [
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                "product": {
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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.