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VAR-202108-2252

Vulnerability from variot - Updated: 2024-08-14 12:56

mySCADA myPRO versions prior to 8.20.0 allows an unauthenticated remote attacker to upload arbitrary files to arbitrary directories. mySCADA Provided by the company myPRO contains multiple vulnerabilities: * Inadequate access control ( CWE-284 ) - CVE-2021-33013 It was * Unlimited uploads of dangerous file types ( CWE-434 ) - CVE-2021-33009 It was * Path Traversal ( CWE-22 ) - CVE-2021-33005 It was * Information leakage due to disclosure of directory information ( CWE-548 ) - CVE-2021-27505The expected impact depends on each vulnerability, but it may be affected as follows. - CVE-2021-33005 It was * Sensitive directory listing information may be read by a remote attacker - CVE-2021-27505. 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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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.

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  • 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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