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CVE-2023-0587 (GCVE-0-2023-0587)

Vulnerability from cvelistv5 – Published: 2023-02-01 00:00 – Updated: 2025-03-27 14:38
VLAI
Summary
A file upload vulnerability in exists in Trend Micro Apex One server build 11110. Using a malformed Content-Length header in an HTTP PUT message sent to URL /officescan/console/html/cgi/fcgiOfcDDA.exe, an unauthenticated remote attacker can upload arbitrary files to the SampleSubmission directory (i.e., \PCCSRV\TEMP\SampleSubmission) on the server. The attacker can upload a large number of large files to fill up the file system on which the Apex One server is installed.
Severity
9.1 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-27 14:38 UTC
CWE
  • File Upload Vulnerability
  • CWE-434 - Unrestricted Upload of File with Dangerous Type
Assigner
References
Impacted products
Vendor Product Version CPE status
n/a Trend Micro Apex One Affected: Build 11110
Show details on NVD website
To clipboard 

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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.


Detection rules are retrieved from Rulezet.


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.