Vulnerability-Lookup

CNVD-2018-02610

Vulnerability from cnvd - Published: 2018-02-01

Title

rust-base64缓冲区错误漏洞

Description

rust-base64是一款用于Rust语言的Base64编码工具。 rust-base64 0.5.1及之前的版本中存在缓冲区溢出漏洞。攻击者可利用该漏洞造成内存损坏并可能执行任意代码。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://github.com/alicemaz/rust-base64

Reference

https://github.com/RustSec/advisory-db/blob/master/crates/base64/RUSTSEC-2017-0004.toml

Impacted products

Name
rust-base64 rust-base64 <= 0.5.1

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-1000430"
    }
  },
  "description": "rust-base64\u662f\u4e00\u6b3e\u7528\u4e8eRust\u8bed\u8a00\u7684Base64\u7f16\u7801\u5de5\u5177\u3002\r\n\r\nrust-base64 0.5.1\u53ca\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u5185\u5b58\u635f\u574f\u5e76\u53ef\u80fd\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "unknwon",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://github.com/alicemaz/rust-base64",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-02610",
  "openTime": "2018-02-01",
  "products": {
    "product": "rust-base64 rust-base64 \u003c= 0.5.1"
  },
  "referenceLink": "https://github.com/RustSec/advisory-db/blob/master/crates/base64/RUSTSEC-2017-0004.toml",
  "serverity": "\u9ad8",
  "submitTime": "2018-01-04",
  "title": "rust-base64\u7f13\u51b2\u533a\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2017-1000430 (GCVE-0-2017-1000430)

Vulnerability from cvelistv5 – Published: 2018-01-02 20:00 – Updated: 2024-09-17 01:26

Summary

rust-base64 version <= 0.5.1 is vulnerable to a buffer overflow when calculating the size of a buffer to use when encoding base64 using the 'encode_config_buf' and 'encode_config' functions

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/RustSec/advisory-db/blob/maste…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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            ],
            "url": "https://github.com/RustSec/advisory-db/blob/master/crates/base64/RUSTSEC-2017-0004.toml"
          }
        ],
        "title": "CVE Program Container"
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      "dateAssigned": "2017-12-29T00:00:00.000Z",
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          "url": "https://github.com/RustSec/advisory-db/blob/master/crates/base64/RUSTSEC-2017-0004.toml"
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          "DATE_ASSIGNED": "2017-12-29",
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          "REQUESTER": "coreyf@rwell.org",
          "STATE": "PUBLIC"
        },
        "affects": {
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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.