CVE-2014-125052 (GCVE-0-2014-125052)

Vulnerability from cvelistv5 – Published: 2023-01-06 20:40 – Updated: 2024-08-06 14:10
VLAI
Title
JervenBolleman sparql-identifiers RegistryDao.java sql injection
Summary
A vulnerability was found in JervenBolleman sparql-identifiers and classified as critical. This issue affects some unknown processing of the file src/main/java/org/identifiers/db/RegistryDao.java. The manipulation leads to sql injection. The patch is named 44bb0db91c064e305b192fc73521d1dfd25bde52. It is recommended to apply a patch to fix this issue. The associated identifier of this vulnerability is VDB-217571.
Severity
5.5 (Medium)
CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
5.5 (Medium)
CVSS:3.0/AV:A/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
CWE
Assigner
References
URL Tags
https://vuldb.com/?id.217571 vdb-entrytechnical-description
https://vuldb.com/?ctiid.217571 signaturepermissions-required
https://github.com/JervenBolleman/sparql-identifi… patch
Impacted products
Vendor Product Version CPE status
JervenBolleman sparql-identifiers Affected: n/a
guessed Create a notification for this product.
Credits
VulDB GitHub Commit Analyzer
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

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.
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  • 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.