CVE-2025-40762 (GCVE-0-2025-40762)

Vulnerability from cvelistv5 – Published: 2025-08-12 11:17 – Updated: 2025-08-12 17:58
VLAI
Summary
A vulnerability has been identified in Simcenter Femap V2406 (All versions < V2406.0003), Simcenter Femap V2412 (All versions < V2412.0002). The affected applications contain an out of bounds write vulnerability when parsing a specially crafted STP file. This could allow an attacker to execute code in the context of the current process.(ZDI-CAN-26692)
Severity
7.8 (High)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
7.3 (High)
CVSS:4.0/AV:L/AC:H/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-08-12 17:56 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
Siemens Simcenter Femap V2406 Affected: 0 , < V2406.0003 (custom)
guessed Create a notification for this product.
Siemens Simcenter Femap V2412 Affected: 0 , < V2412.0002 (custom)
guessed Create a notification for this product.
Show details on NVD website
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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.
  • 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.


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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.