Vulnerability-Lookup

CNVD-2020-27778

Vulnerability from cnvd - Published: 2020-05-12

Title

Cisco Firepower Device Manager On-Box software缓冲区溢出漏洞

Description

Cisco Firepower Device Manager（FDM）是美国思科（Cisco）公司的一款防火墙设备管理器。该产品支持访问规则配置、系统监控等功能。Cisco Firepower Device Manager On-Box software是其中的一套内置软件。 Cisco FDM On-Box software Release 6.2.3之前版本中的XML解析器代码存在缓冲区溢出漏洞。远程攻击者可借助恶意的文件利用该漏洞造成XML解析器进程崩溃，影响系统稳定性，耗尽内存并可能造成系统重新加载。

Severity

中

Patch Name

Cisco Firepower Device Manager On-Box software缓冲区溢出漏洞的补丁

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://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-xpftd-gYDXyN8H

Reference

https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-xpftd-gYDXyN8H

Impacted products

Name
Cisco Cisco Firepower Device Manager On-Box software <6.2.3

Show details on source website

JSON

To clipboard

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}

CVE-2020-3310 (GCVE-0-2020-3310)

Vulnerability from cvelistv5 – Published: 2020-05-06 16:40 – Updated: 2024-11-15 17:27

Title

Cisco Firepower Device Manager On-Box Software XML Parsing Vulnerability

Summary

A vulnerability in the XML parser code of Cisco Firepower Device Manager On-Box software could allow an authenticated, remote attacker to cause an affected system to become unstable or reload. The vulnerability is due to insufficient hardening of the XML parser configuration. An attacker could exploit this vulnerability in multiple ways using a malicious file: An attacker with administrative privileges could upload a malicious XML file on the system and cause the XML code to parse the malicious file. An attacker with Clientless Secure Sockets Layer (SSL) VPN access could exploit this vulnerability by sending a crafted XML file. A successful exploit would allow the attacker to crash the XML parser process, which could cause system instability, memory exhaustion, and in some cases lead to a reload of the affected system.

Severity

5.5 (Medium)


                        
                          CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:L

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-11-15 16:28 UTC

CWE

CWE-119

Assigner

cisco mitre root

References

1 reference

URL	Tags
https://tools.cisco.com/security/center/content/C…	vendor-advisoryx_refsource_CISCO

Impacted products

1 product

Vendor	Product	Version
Cisco	Cisco Firepower Threat Defense Software	Affected: n/a

Date Public

2020-05-06 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.