VAR-201803-2083

Vulnerability from variot - Updated: 2023-12-18 12:02

A Reliance on Cookies without Validation and Integrity Checking issue was discovered in Moxa OnCell G3100-HSPA Series version 1.4 Build 16062919 and prior. The application allows a cookie parameter to consist of only digits, allowing an attacker to perform a brute force attack bypassing authentication and gaining access to device functions. Moxa OnCell G3100-HSPA There are authentication vulnerabilities in the series.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. MoxaOnCellG3100-HSPA is an intelligent, feature-rich wireless communication platform that connects network devices and serial devices to cellular TCP/IP networks. Moxa OnCell G3100-HSPA Series is prone to multiple denial-of-service vulnerabilities and an authentication-bypass vulnerability. OnCell G3100-HSPA Series 1.4 Build 16062919 and prior are vulnerable. Moxa OnCell G3100-HSPA Series is the G3100 series gateway product of Moxa

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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

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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.
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  • 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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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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