Vulnerability-Lookup

CNVD-2021-01994

Vulnerability from cnvd - Published: 2021-01-11

Title

IBM Emptoris Sourcing Web缓存投毒漏洞

Description

IBM Emptoris Sourcing通过在战略寻源决策时考察成本、风险和绩效等因素，帮助企业从供应商那里获得实惠的价格和更大的价值。 IBM Emptoris Sourcing 10.1.0、10.1.1、10.1.3存在Web缓存投毒漏洞。该漏洞源于输入验证不当。攻击者可通过修改HTTP请求标头利用该漏洞进行Web缓存投毒攻击。

Severity

中

Patch Name

IBM Emptoris Sourcing Web缓存投毒漏洞的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新：https://www.ibm.com/support/pages/node/6398284

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-4896

Impacted products

Name
['IBM IBM Emptoris Sourcing 10.1.0', 'IBM IBM Emptoris Sourcing 10.1.1', 'IBM IBM Emptoris Sourcing 10.1.3']

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JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-4896",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-4896"
    }
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  "number": "CNVD-2021-01994",
  "openTime": "2021-01-11",
  "patchDescription": "IBM Emptoris Sourcing\u901a\u8fc7\u5728\u6218\u7565\u5bfb\u6e90\u51b3\u7b56\u65f6\u8003\u5bdf\u6210\u672c\u3001\u98ce\u9669\u548c\u7ee9\u6548\u7b49\u56e0\u7d20\uff0c\u5e2e\u52a9\u4f01\u4e1a\u4ece\u4f9b\u5e94\u5546\u90a3\u91cc\u83b7\u5f97\u5b9e\u60e0\u7684\u4ef7\u683c\u548c\u66f4\u5927\u7684\u4ef7\u503c\u3002\r\n\r\nIBM Emptoris Sourcing 10.1.0\u300110.1.1\u300110.1.3\u5b58\u5728Web\u7f13\u5b58\u6295\u6bd2\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8f93\u5165\u9a8c\u8bc1\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u4fee\u6539HTTP\u8bf7\u6c42\u6807\u5934\u5229\u7528\u8be5\u6f0f\u6d1e\u8fdb\u884cWeb\u7f13\u5b58\u6295\u6bd2\u653b\u51fb\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": "IBM Emptoris Sourcing Web\u7f13\u5b58\u6295\u6bd2\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM IBM Emptoris Sourcing 10.1.0",
      "IBM IBM Emptoris Sourcing 10.1.1",
      "IBM IBM Emptoris Sourcing 10.1.3"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-4896",
  "serverity": "\u4e2d",
  "submitTime": "2021-01-08",
  "title": "IBM Emptoris Sourcing Web\u7f13\u5b58\u6295\u6bd2\u6f0f\u6d1e"
}

CVE-2020-4896 (GCVE-0-2020-4896)

Vulnerability from cvelistv5 – Published: 2021-01-07 17:40 – Updated: 2024-09-16 16:18

Summary

IBM Emptoris Sourcing 10.1.0, 10.1.1, and 10.1.3 is vulnerable to web cache poisoning, caused by improper input validation by modifying HTTP request headers. IBM X-Force ID: 190987.

Severity

6.5 (Medium)


                        
                          CVSS:3.0/I:L/UI:N/C:L/S:U/A:N/AC:L/PR:N/AV:N/E:U/RL:O/RC:C

CWE

Gain Access

Assigner

ibm mitre root

References

2 references

URL	Tags
https://www.ibm.com/support/pages/node/6398284	x_refsource_CONFIRM
https://exchange.xforce.ibmcloud.com/vulnerabilit…	vdb-entryx_refsource_XF

Impacted products

1 product

Vendor	Product	Version
IBM	Emptoris Sourcing	Affected: 10.1.0 Affected: 10.1.1 Affected: 10.1.3

Date Public

2021-01-06 00:00

Show details on NVD website

JSON

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            "url": "https://www.ibm.com/support/pages/node/6398284"
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            "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/190987"
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    "cna": {
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            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "exploitCodeMaturity": "UNPROVEN",
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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.

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