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VAR-202006-0825

Vulnerability from variot - Updated: 2023-12-18 12:35

A cleartext storage in a file or on disk (CWE-313) vulnerability in FortiOS SSL VPN 6.2.0 through 6.2.2, 6.0.9 and earlier and FortiProxy 2.0.0, 1.2.9 and earlier may allow an attacker to retrieve a logged-in SSL VPN user's credentials should that attacker be able to read the session file stored on the targeted device's system. FortiOS There is a vulnerability in plaintext storage of important information.Information may be obtained. Fortinet FortiOS is a set of security operating system dedicated to the FortiGate network security platform developed by Fortinet. The system provides users with various security functions such as firewall, anti-virus, IPSec/SSLVPN, Web content filtering and anti-spam. An information disclosure vulnerability exists in Fortinet FortiOS versions 6.2.0 to 6.2.2 and 6.0.9 and earlier versions

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

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Detection rules are retrieved from Rulezet.

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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.


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