VAR-201205-0145

Vulnerability from variot - Updated: 2025-04-11 22:49

The server in xArrow before 3.4.1 performs an invalid read operation, which allows remote attackers to execute arbitrary code via unspecified vectors. xArrow is a lightweight but full-featured industrial configuration software for monitoring and controlling industrial systems. xArrow has multiple security vulnerabilities that allow an attacker to perform a denial of service attack. An attacker can send a malicious message, trigger an uncompressed NULL pointer, heap corruption, illegal read access, memory corruption, etc., which can cause the application to crash. xArrow has a vulnerability. xArrow is prone to multiple remote denial-of-service vulnerabilities. Successful exploits of these vulnerabilities will result in a denial-of-service condition. xArrow 3.2 and prior versions are vulnerable

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Taxonomy of the tags.


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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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