Vulnerability-Lookup

CNVD-2022-06681

Vulnerability from cnvd - Published: 2022-01-24

Title

Juniper Networks Junos OS资源管理错误漏洞（CNVD-2022-06681）

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 中存在资源管理错误漏洞，该漏洞源于产品SRX Series和MX Series与SPC3上的流处理守护进程的算法复杂度过低导致资源分配错误。攻击者可利用该漏洞通过发送百分比大于5\\%的分片包导致传输包处理延迟、丢失并导致拒绝服务。

Severity

高

Patch Name

Juniper Networks Junos OS资源管理错误漏洞（CNVD-2022-06681）的补丁

Patch Description

Formal description

目前厂商已发布升级补丁以修复漏洞，详情请关注厂商主页： http://kb.juniper.net

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-22153

Impacted products

Name
Juniper Networks Junos OS

Show details on source website

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  "number": "CNVD-2022-06681",
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}

CVE-2022-22153 (GCVE-0-2022-22153)

Vulnerability from cvelistv5 – Published: 2022-01-19 00:20 – Updated: 2024-09-17 01:50

Title

SRX Series and MX Series with SPC3: A high percentage of fragments might lead to high latency or packet drops

Summary

An Insufficient Algorithmic Complexity combined with an Allocation of Resources Without Limits or Throttling vulnerability in the flow processing daemon (flowd) of Juniper Networks Junos OS on SRX Series and MX Series with SPC3 allows an unauthenticated network attacker to cause latency in transit packet processing and even packet loss. If transit traffic includes a significant percentage (> 5%) of fragmented packets which need to be reassembled, high latency or packet drops might be observed. This issue affects Juniper Networks Junos OS on SRX Series, MX Series with SPC3: All versions prior to 18.2R3; 18.3 versions prior to 18.3R3; 18.4 versions prior to 18.4R2-S9, 18.4R3; 19.1 versions prior to 19.1R2; 19.2 versions prior to 19.2R1-S1, 19.2R2.

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-407 - Algorithmic Complexity
Denial of Service (DoS)
CWE-770 - Allocation of Resources Without Limits or Throttling

Assigner

juniper mitre root

References

1 reference

URL	Tags
https://kb.juniper.net/JSA11261	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Juniper Networks	Junos OS	Affected: unspecified , < 18.2R3 (custom) Affected: 18.3 , < 18.3R3 (custom) Affected: 18.4 , < 18.4R2-S9, 18.4R3 (custom) Affected: 19.1 , < 19.1R2 (custom) Affected: 19.2 , < 19.2R1-S1, 19.2R2 (custom)

Date Public

2022-01-12 00:00

Show details on NVD website

JSON

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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.