CVE-2026-11968 (GCVE-0-2026-11968)

Vulnerability from cvelistv5 – Published: 2026-06-24 09:33 – Updated: 2026-06-24 12:01
VLAI
Title
Improper Neutralization of Argument Delimiters in a Command ('Argument Injection') in TortoiseGit
Summary
Argument Injection in TortoiseGitBlame via Malicious Git History Filenames Leads to Arbitrary File Write in TortoiseGit
Severity
5.5 (Medium)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-24 12:00 UTC
CWE
  • CWE-88 - Improper Neutralization of Argument Delimiters in a Command ('Argument Injection')
Assigner
References
Impacted products
Vendor Product Version
TortoiseGit team TortoiseGit Affected: 1.8.10.0 , < 2.19.0 (semver)
Create a notification for this product.
Credits
Gabriele Paris of NATO Cyber Security Centre
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.



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.