Vulnerability-Lookup

VAR-202107-0410

Vulnerability from variot - Updated: 2023-12-18 12:42

Deserialization of Untrusted Data Vulnerability Dell EMC Avamar Server versions 7.4.1, 7.5.0, 7.5.1, 18.2, 19.1 and 19.2 and Dell EMC Integrated Data Protection Appliance versions 2.0, 2.1, 2.2, 2.3, 2.4 and 2.4.1 contain a Deserialization of Untrusted Data Vulnerability. A remote unauthenticated attacker could exploit this vulnerability to send a serialized payload that would execute code on the system. (DoS) It may be in a state. Dell EMC Avamar Server is a set of fully virtualized backup and recovery software for servers from Dell

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CVE-2020-5341 (GCVE-0-2020-5341)

Vulnerability from cvelistv5 – Published: 2021-07-28 00:05 – Updated: 2024-09-16 22:34

Summary

Severity

9.8 (Critical)


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

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

dell mitre root

References

1 reference

URL	Tags
https://www.dell.com/support/security/en-us/detai…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Dell	Avamar Virtual Edition	Affected: unspecified , < Avamar 7.5 Virtual Edition for VMware vSphere only (custom)

Date Public

2020-02-27 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.