CVE-2023-1741 (GCVE-0-2023-1741)

Vulnerability from cvelistv5 – Published: 2023-03-30 21:00 – Updated: 2024-08-02 05:57
VLAI
Title
jeecg-boot Sleep Command SysDictMapper.java sql injection
Summary
A vulnerability was found in jeecg-boot 3.5.0. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the file SysDictMapper.java of the component Sleep Command Handler. The manipulation leads to sql injection. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-224629 was assigned to this vulnerability.
CWE
References
URL Tags
https://vuldb.com/?id.224629 vdb-entrytechnical-description
https://vuldb.com/?ctiid.224629 signaturepermissions-required
https://github.com/private-null/report/blob/main/… broken-linkexploit
Impacted products
Vendor Product Version CPE status
n/a jeecg-boot Affected: 3.5.0
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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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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