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CVE-2025-7157 (GCVE-0-2025-7157)

Vulnerability from cvelistv5 – Published: 2025-07-08 02:02 – Updated: 2025-07-08 13:46
VLAI
Title
code-projects Online Note Sharing login.php sql injection
Summary
A vulnerability was found in code-projects Online Note Sharing 1.0. It has been classified as critical. Affected is an unknown function of the file /login.php. The manipulation of the argument username/password leads to sql injection. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-08 13:46 UTC
CWE
References
URL Tags
https://vuldb.com/?id.315096 vdb-entrytechnical-description
https://vuldb.com/?ctiid.315096 signaturepermissions-required
https://vuldb.com/?submit.606355 third-party-advisory
https://github.com/yihaofuweng/cve/issues/3 exploitissue-tracking
https://code-projects.org/ product
Impacted products
Vendor Product Version CPE status
code-projects Online Note Sharing Affected: 1.0
guessed Create a notification for this product.
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

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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.

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Detection rules are retrieved from Rulezet.

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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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