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CVE-2026-11765 (GCVE-0-2026-11765)

Vulnerability from cvelistv5 – Published: 2026-09-11 13:20 – Updated: 2026-09-11 13:57
VLAI
Title
Argument Injection in TUBITAK BILGEM's Pardus Pen
Summary
Improper neutralization of argument delimiters in a command ('argument injection') vulnerability in TUBITAK BILGEM Software Technologies Research Institute Pardus Pen allows Argument Injection. This issue affects Pardus Pen: before 4.2.1.
Severity
3.3 (Low)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-11 13:57 UTC
CWE
  • CWE-88 - Improper neutralization of argument delimiters in a command ('argument injection')
Assigner
References
Impacted products
Vendor Product Version CPE status
TUBITAK BILGEM Software Technologies Research Institute Pardus Pen Affected: 0 , < 4.2.1 (custom)
guessed Create a notification for this product.
Date Public
2026-09-11 13:17
Credits
Muhammed KAYA
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

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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.