Vulnerability-Lookup

VAR-202112-0420

Vulnerability from variot - Updated: 2023-12-18 13:37

An authentication bypass by capture-replay vulnerability [CWE-294] in FortiClient EMS versions 7.0.1 and below and 6.4.4 and below may allow an unauthenticated attacker to impersonate an existing user by intercepting and re-using valid SAML authentication messages. Fortinet FortiClient is a mobile terminal security solution developed by Fortinet. The solution provides IPsec and SSL encryption, WAN optimization, endpoint compliance, and two-factor authentication when connected to FortiGate firewall appliances

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    "data": "other",
    "sources": [
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CVE-2021-41030 (GCVE-0-2021-41030)

Vulnerability from cvelistv5 – Published: 2021-12-08 17:51 – Updated: 2024-10-25 13:39

Summary

Severity

5.4 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-23 13:57 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-21-192	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Fortinet	Fortinet FortiClientEMS	Affected: FortiClientEMS 7.0.1, 7.0.0, 6.4.4, 6.4.3, 6.4.2, 6.4.1, 6.4.0, 6.2.9, 6.2.8, 6.2.7, 6.2.6, 6.2.4, 6.2.3, 6.2.2, 6.2.1, 6.2.0

Show details on NVD website

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Sightings

Author	Source	Type	Date	Other

Nomenclature

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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.
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VAR-202112-0420

CVE-2021-41030 (GCVE-0-2021-41030)

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