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VAR-201604-0064

Vulnerability from variot - Updated: 2023-12-18 12:20

Pro-face GP-Pro EX EX-ED before 4.05.000, PFXEXEDV before 4.05.000, PFXEXEDLS before 4.05.000, and PFXEXGRPLS before 4.05.000 allow remote attackers to execute arbitrary code or cause a denial of service (out-of-bounds read) via unspecified vectors. Pro-face GP-Pro EX is a set of HMI screen editing and logic programming software from Pro-face, USA. There is a security hole in Pro-face GP-Pro EX. Digital Electronics Proface GP-Pro EX is a programmable human-machine interface product from Digital Electronics of Japan. A security vulnerability exists in Digital Electronics Proface GP-Pro EX. An attacker could use this vulnerability to execute arbitrary code in the context of an affected application or leak sensitive information. Other attacks are also possible. GP-Pro EX 1.00 through 4.0.4 are vulnerable

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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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