Vulnerability-Lookup

CNVD-2018-09393

Vulnerability from cnvd - Published: 2018-05-14

Title

Cisco Packet Data Network Gateway输入验证漏洞

Description

Cisco Packet Data Network Gateway是美国思科（Cisco）公司的一款用于4G移动核心网络中的分组数据网络网关设备。 Cisco Packet Data Network Gateway中的对等网络消息处理存在输入验证漏洞，该漏洞源于程序未能正确的校验对等网络数据包头。远程攻击者可通过发送对等网络数据包利用该漏洞造成拒绝服务（Session Manager进程重启）。

Severity

中

Patch Name

Cisco Packet Data Network Gateway输入验证漏洞的补丁

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： https://bst.cloudapps.cisco.com/bugsearch/bug/CSCvg88786

Reference

https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20180418-pdng

Impacted products

Name
Cisco Packet Data Network Gateway

Show details on source website

JSON

To clipboard

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    }
  },
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  "number": "CNVD-2018-09393",
  "openTime": "2018-05-14",
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  "products": {
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  "referenceLink": "https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20180418-pdng",
  "serverity": "\u4e2d",
  "submitTime": "2018-05-10",
  "title": "Cisco Packet Data Network Gateway\u8f93\u5165\u9a8c\u8bc1\u6f0f\u6d1e"
}

CVE-2018-0256 (GCVE-0-2018-0256)

Vulnerability from cvelistv5 – Published: 2018-04-19 20:00 – Updated: 2024-11-29 15:15

Summary

A vulnerability in the peer-to-peer message processing functionality of Cisco Packet Data Network Gateway could allow an unauthenticated, remote attacker to cause the Session Manager (SESSMGR) process on an affected device to restart, resulting in a denial of service (DoS) condition. The vulnerability is due to incorrect validation of peer-to-peer packet headers. An attacker could exploit this vulnerability by sending a crafted peer-to-peer packet through an affected device. A successful exploit could allow the attacker to cause the SESSMGR process on the affected device to restart unexpectedly, which could briefly impact traffic while the SESSMGR process restarts and result in a DoS condition. Cisco Bug IDs: CSCvg88786.

Severity

No CVSS data available.

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-11-29 14:44 UTC

CWE

CWE-20

Assigner

cisco mitre root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/103951	vdb-entryx_refsource_BID
https://tools.cisco.com/security/center/content/C…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
n/a	Cisco Packet Data Network Gateway	Affected: Cisco Packet Data Network Gateway

Date Public

2018-04-19 00:00

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.