Vulnerability-Lookup

VAR-202107-0231

Vulnerability from variot - Updated: 2024-08-14 13:15

A concurrent execution using shared resource with improper synchronization ('race condition') in the command shell of FortiSandbox before 3.2.2 may allow an authenticated attacker to bring the system into an unresponsive state via specifically orchestrated sequences of commands. FortiSandbox Is vulnerable to a race condition.Denial of service (DoS) It may be put into a state. Pillow is a Python-based image processing library. There is currently no information about this vulnerability, please feel free to follow CNNVD or manufacturer announcements

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CVE-2020-29014 (GCVE-0-2020-29014)

Vulnerability from cvelistv5 – Published: 2021-07-09 18:26 – Updated: 2024-10-25 13:57

Summary

Severity

6.3 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L/E:X/RL:X/RC:X

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-23 13:58 UTC

CWE

Escalation of privilege

Assigner

fortinet CNA under the mitre root

CNA scorecard C 72/100 over 72 records in the last 180 days details

References

1 reference

URL	Tags
https://fortiguard.com/advisory/FG-IR-20-185	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Fortinet	Fortinet FortiSandbox	Affected: FortiSandbox before 3.2.2

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date	Other

Nomenclature

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Confirmed: The vulnerability has been validated from an analyst's perspective.
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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.

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.

Action not permitted

VAR-202107-0231

CVE-2020-29014 (GCVE-0-2020-29014)

Tags

Sightings

Nomenclature

Related by attack behaviour