Vulnerability-Lookup

CNVD-2022-05431

Vulnerability from cnvd - Published: 2022-01-19

Title

Juniper Networks Junos OS资源管理错误漏洞（CNVD-2022-05431）

Description

Juniper Networks Junos OS是美国瞻博网络（Juniper Networks）公司的一套专用于该公司的硬件设备的网络操作系统。该操作系统提供了安全编程接口和Junos SDK。 Juniper Networks Junos OS存在资源管理错误漏洞，该漏洞源于Juniper Networks Junos内核资源耗尽导致的。未经身份验证远程攻击者可以利用该漏洞向带外管理以太网端口发送大量的流量，消耗掉所有可用的CPU资源导致拒绝服务攻击。

Severity

高

Patch Name

Juniper Networks Junos OS资源管理错误漏洞（CNVD-2022-05431）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： http://kb.juniper.net/InfoCenter/index?page=content&id=JSA11269&cat=SIRT_1&actp=LIST

Reference

https://www.cybersecurity-help.cz/vdb/SB2022011315

Impacted products

Name
Juniper Networks Junos OS

Show details on source website

JSON

To clipboard

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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-05431",
  "openTime": "2022-01-19",
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  "title": "Juniper Networks Junos OS\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2022-05431\uff09"
}

CVE-2022-22161 (GCVE-0-2022-22161)

Vulnerability from cvelistv5 – Published: 2022-01-19 00:21 – Updated: 2024-09-16 18:29

Title

Junos OS: MX104 might become unresponsive if the out-of-band management port receives a flood of traffic

Summary

An Uncontrolled Resource Consumption vulnerability in the kernel of Juniper Networks Junos OS allows an unauthenticated network based attacker to cause 100% CPU load and the device to become unresponsive by sending a flood of traffic to the out-of-band management ethernet port. Continued receipted of a flood will create a sustained Denial of Service (DoS) condition. Once the flood subsides the system will recover by itself. An indication that the system is affected by this issue would be that an irq handled by the fman process is shown to be using a high percentage of CPU cycles like in the following example output: user@host> show system processes extensive ... PID USERNAME PRI NICE SIZE RES STATE TIME WCPU COMMAND 31 root -84 -187 0K 16K WAIT 22.2H 56939.26% irq96: fman0 This issue affects Juniper Networks Junos OS: All versions prior to 18.3R3-S6; 18.4 versions prior to 18.4R2-S9, 18.4R3-S9; 19.1 versions prior to 19.1R2-S3, 19.1R3-S7; 19.2 versions prior to 19.2R1-S7, 19.2R3-S3; 19.3 versions prior to 19.3R2-S7, 19.3R3-S4; 19.4 versions prior to 19.4R2-S5, 19.4R3-S5; 20.1 versions prior to 20.1R3-S1; 20.2 versions prior to 20.2R3-S2; 20.3 versions prior to 20.3R3-S1; 20.4 versions prior to 20.4R2-S2, 20.4R3; 21.1 versions prior to 21.1R2; 21.2 versions prior to 21.2R1-S1, 21.2R2.

Severity

7.5 (High)


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

CWE

CWE-400 - Uncontrolled Resource Consumption
Denial of Service (DoS)

Assigner

juniper mitre root

References

1 reference

URL	Tags
https://kb.juniper.net/JSA11269	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Juniper Networks	Junos OS	Affected: unspecified , < 18.3R3-S6 (custom) Affected: 18.4 , < 18.4R2-S9, 18.4R3-S9 (custom) Affected: 19.1 , < 19.1R2-S3, 19.1R3-S7 (custom) Affected: 19.2 , < 19.2R1-S7, 19.2R3-S3 (custom) Affected: 19.3 , < 19.3R2-S7, 19.3R3-S4 (custom) Affected: 19.4 , < 19.4R2-S5, 19.4R3-S5 (custom) Affected: 20.1 , < 20.1R3-S1 (custom) Affected: 20.2 , < 20.2R3-S2 (custom) Affected: 20.3 , < 20.3R3-S1 (custom) Affected: 20.4 , < 20.4R2-S2, 20.4R3 (custom) Affected: 21.1 , < 21.1R2 (custom) Affected: 21.2 , < 21.2R1-S1, 21.2R2 (custom)

Date Public

2022-01-12 00:00

Show details on NVD website

JSON

To clipboard

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        "providerMetadata": {
          "dateUpdated": "2024-08-03T03:07:49.251Z",
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            "lang": "en",
            "value": "The following software releases have been updated to resolve this specific issue: 18.3R3-S6, 18.4R2-S9, 18.4R3-S9, 19.1R2-S3, 19.1R3-S7, 19.2R1-S7, 19.2R3-S3, 19.3R2-S7, 19.3R3-S4, 19.4R2-S5, 19.4R3-S5, 20.1R3-S1, 20.2R3-S2, 20.3R3-S1, 20.4R2-S2, 20.4R3, 21.1R2, 21.2R1-S1, 21.2R2, 21.3R1, and all subsequent releases."
          }
        ],
        "source": {
          "advisory": "JSA11269",
          "defect": [
            "1585829"
          ],
          "discovery": "USER"
        },
        "work_around": [
          {
            "lang": "en",
            "value": "There are no viable workarounds for this issue."
          }
        ]
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8cbe9d5a-a066-4c94-8978-4b15efeae968",
    "assignerShortName": "juniper",
    "cveId": "CVE-2022-22161",
    "datePublished": "2022-01-19T00:21:05.957Z",
    "dateReserved": "2021-12-21T00:00:00.000Z",
    "dateUpdated": "2024-09-16T18:29:11.836Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.