Vulnerability-Lookup

VAR-202207-0147

Vulnerability from variot - Updated: 2023-12-18 12:26

Multiple relative path traversal vulnerabilities [CWE-23] in FortiDeceptor management interface 1.0.0 through 3.2.x, 3.3.0 through 3.3.2, 4.0.0 through 4.0.1 may allow a remote and authenticated attacker to retrieve and delete arbitrary files from the underlying filesystem via specially crafted web requests. FortiDeceptor A path traversal vulnerability exists in the management interface.Information is tampered with and service operation is interrupted (DoS) It may be in a state. Fortinet FortiDeceptor is a network threat detection platform developed by Fortinet. The platform mainly exposes cyber threats, etc. through deception techniques

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CVE-2022-30302 (GCVE-0-2022-30302)

Vulnerability from cvelistv5 – Published: 2022-07-18 16:40 – Updated: 2024-10-22 20:55

Summary

Severity

6.5 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-22 20:19 UTC

CWE

Information disclosure

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/psirt/FG-IR-21-213	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Fortinet	Fortinet FortiDeceptor	Affected: FortiDeceptor 1.0.0 through 3.2.x, 3.3.0 through 3.3.2, 4.0.0 through 4.0.1

Show details on NVD website

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Sightings

Author	Source	Type	Date	Other

Nomenclature

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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-202207-0147

CVE-2022-30302 (GCVE-0-2022-30302)

Tags

Sightings

Nomenclature

Related by attack behaviour