VAR-200909-0477

Vulnerability from variot - Updated: 2023-12-18 12:11

Cross-site scripting (XSS) vulnerability in the Activities module in vtiger CRM 5.0.4 allows remote attackers to inject arbitrary web script or HTML via the action parameter to phprint.php. NOTE: the query_string vector is already covered by CVE-2008-3101.3. vtiger CRM is prone to multiple input-validation vulnerabilities: - A remote PHP code-execution vulnerability - Multiple local file-include vulnerabilities - A cross-site scripting vulnerability - Multiple cross-site request-forgery vulnerabilities Attackers can exploit these issues to execute arbitrary script code within the context of the webserver, perform unauthorized actions, compromise the affected application, steal cookie-based authentication credentials, or obtain information that could aid in further attacks. The issues affect vtiger CRM 5.0.4; other versions may also be affected

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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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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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