Vulnerability-Lookup

CNVD-2020-34446

Vulnerability from cnvd - Published: 2020-06-23

Title

SmartBear Software ReadyAPI注入漏洞

Description

SmartBear Software ReadyAPI是美国SmartBear Software公司的一款API测试平台。该平台提供安全测试（Secure Pro）、功能测试（SoapUI Pro）、性能测试（LoadUI Pro）、服务虚拟化（ServiceV Pro），以及生成测试报告等功能。jProductivity Protection!是美国jProductivity公司的一款许可工具包和许可管理器。 SmartBear Software ReadyAPI 3.2.5版本（使用了jProductivity Protection!）中存在安全漏洞。攻击者可利用该漏洞执行代码。

Severity

高

Formal description

目前厂商暂未发布修复措施解决此安全问题，建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法： https://smartbear.com/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-12835

Impacted products

Name
SmartBear Software ReadyAPI 3.2.5

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-12835"
    }
  },
  "description": "SmartBear Software ReadyAPI\u662f\u7f8e\u56fdSmartBear Software\u516c\u53f8\u7684\u4e00\u6b3eAPI\u6d4b\u8bd5\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u63d0\u4f9b\u5b89\u5168\u6d4b\u8bd5\uff08Secure Pro\uff09\u3001\u529f\u80fd\u6d4b\u8bd5\uff08SoapUI Pro\uff09\u3001\u6027\u80fd\u6d4b\u8bd5\uff08LoadUI Pro\uff09\u3001\u670d\u52a1\u865a\u62df\u5316\uff08ServiceV Pro\uff09\uff0c\u4ee5\u53ca\u751f\u6210\u6d4b\u8bd5\u62a5\u544a\u7b49\u529f\u80fd\u3002jProductivity Protection!\u662f\u7f8e\u56fdjProductivity\u516c\u53f8\u7684\u4e00\u6b3e\u8bb8\u53ef\u5de5\u5177\u5305\u548c\u8bb8\u53ef\u7ba1\u7406\u5668\u3002\n\nSmartBear Software ReadyAPI 3.2.5\u7248\u672c\uff08\u4f7f\u7528\u4e86jProductivity Protection!\uff09\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://smartbear.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-34446",
  "openTime": "2020-06-23",
  "products": {
    "product": "SmartBear Software ReadyAPI 3.2.5"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-12835",
  "serverity": "\u9ad8",
  "submitTime": "2020-05-21",
  "title": "SmartBear Software ReadyAPI\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2020-12835 (GCVE-0-2020-12835)

Vulnerability from cvelistv5 – Published: 2020-05-20 13:01 – Updated: 2024-08-04 12:04

Summary

An issue was discovered in SmartBear ReadyAPI SoapUI Pro 3.2.5. Due to unsafe use of an Java RMI based protocol in an unsafe configuration, an attacker can inject malicious serialized objects into the communication, resulting in remote code execution in the context of a client-side Network Licensing Protocol component.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 29/100 over 2166 records in the last 180 days details

References

4 references

URL	Tags
https://www.syss.de/pentest-blog/	x_refsource_MISC
http://seclists.org/fulldisclosure/2020/May/38	mailing-listx_refsource_FULLDISC
http://packetstormsecurity.com/files/157772/Prote…	x_refsource_MISC
https://www.syss.de/fileadmin/dokumente/Publikati…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

Order JSON

How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Publication & reservation Sightings KEV catalogs Other timestamps

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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.

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