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CVE-2025-49219 (GCVE-0-2025-49219)

Vulnerability from cvelistv5 – Published: 2025-06-17 17:43 – Updated: 2026-02-26 17:50
VLAI
Summary
An insecure deserialization operation in Trend Micro Apex Central below versions 8.0.7007 could lead to a pre-authentication remote code execution on affected installations. Note that this vulnerability is similar to CVE-2025-49220 but is in a different method.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-18 03:56 UTC
CWE
  • CWE-477 - Use of Obsolete Function
Assigner
References
Impacted products
Vendor Product Version CPE status
Trend Micro, Inc. Trend Micro Apex Central Affected: 8.0 , < 8.0.7007 (semver)
    cpe:2.3:a:trendmicro:apex_central:7007:*:*:en:*:windows_10:x86_64:1809
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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.