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CVE-2023-24841 (GCVE-0-2023-24841)

Vulnerability from cvelistv5 – Published: 2023-03-27 00:00 – Updated: 2025-02-19 15:55
VLAI
Title
HGiga MailSherlock - Command Injection
Summary
HGiga MailSherlock query function for connection log has a vulnerability of insufficient filtering for user input. An authenticated remote attacker with administrator privilege can exploit this vulnerability to inject and execute arbitrary system commands to perform arbitrary system operation or disrupt service.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-19 15:54 UTC
CWE
  • CWE-78 - OS Command Injection
Impacted products
Vendor Product Version CPE status
HGiga MailSherlock Affected: iSherlock-sysinfo-4.5 , ≤ iSherlock-sysinfo-4.5-132 (custom)
guessed Create a notification for this product.
Date Public
2023-02-24 00:00
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

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.

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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.


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