Vulnerability-Lookup

CNVD-2023-37160

Vulnerability from cnvd - Published: 2023-05-15

Title

IBM QRadar Data Synchronization App加密问题漏洞

Description

IBM QRadar Data Synchronization App是美国IBM公司的一种数据弹性解决方案。 IBM QRadar Data Synchronization App 1.0版本至3.0.1版本存在加密问题漏洞，该漏洞源于使用弱于预期的加密算法。攻击者利用该漏洞可以解密高度敏感的信息。

Severity

中

Patch Name

IBM QRadar Data Synchronization App加密问题漏洞的补丁

Patch Description

IBM QRadar Data Synchronization App是美国IBM公司的一种数据弹性解决方案。 IBM QRadar Data Synchronization App 1.0版本至3.0.1版本存在加密问题漏洞，该漏洞源于使用弱于预期的加密算法。攻击者利用该漏洞可以解密高度敏感的信息。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

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/6980797

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-22313

Impacted products

Name
IBM QRadar Data Synchronization App >=1.0,<=3.0.1

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-22313",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-22313"
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  "number": "CNVD-2023-37160",
  "openTime": "2023-05-15",
  "patchDescription": "IBM QRadar Data Synchronization App\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u79cd\u6570\u636e\u5f39\u6027\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nIBM QRadar Data Synchronization App 1.0\u7248\u672c\u81f33.0.1\u7248\u672c\u5b58\u5728\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4f7f\u7528\u5f31\u4e8e\u9884\u671f\u7684\u52a0\u5bc6\u7b97\u6cd5\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u89e3\u5bc6\u9ad8\u5ea6\u654f\u611f\u7684\u4fe1\u606f\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 QRadar Data Synchronization App\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM QRadar Data Synchronization App \u003e=1.0,\u003c=3.0.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-22313",
  "serverity": "\u4e2d",
  "submitTime": "2023-05-10",
  "title": "IBM QRadar Data Synchronization App\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2022-22313 (GCVE-0-2022-22313)

Vulnerability from cvelistv5 – Published: 2023-05-06 01:38 – Updated: 2025-01-29 15:43

Title

IBM QRadar Data Synchronization App information disclosure

Summary

IBM QRadar Data Synchronization App 1.0 through 3.0.1 uses weaker than expected cryptographic algorithms that could allow an attacker to decrypt highly sensitive information. IBM X-Force ID: 217370.

Severity

4.4 (Medium)


                        
                          CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-01-29 15:42 UTC

CWE

CWE-327 - Use of a Broken or Risky Cryptographic Algorithm

Assigner

ibm mitre root

References

2 references

URL	Tags
https://www.ibm.com/support/pages/node/6980797	vendor-advisory
https://exchange.xforce.ibmcloud.com/vulnerabilit…	vdb-entry

Impacted products

1 product

Vendor	Product	Version
IBM	QRadar Data Synchronization App	Affected: 1.0 , ≤ 3.0.1 (semver)

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.

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.