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CVE-2019-25559 (GCVE-0-2019-25559)

Vulnerability from cvelistv5 – Published: 2026-03-21 12:47 – Updated: 2026-03-23 16:23
VLAI
Title
SpotPaltalk 1.1.5 Name/Key Field Denial of Service
Summary
SpotPaltalk 1.1.5 contains a denial of service vulnerability in the registration code input field that allows local attackers to crash the application by submitting an excessively long string. Attackers can paste a buffer of 1000 characters into the Name/Key field during registration to trigger a crash when the OK button is clicked.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-23 16:23 UTC
CWE
  • CWE-1260 - Improper Handling of Overlap Between Protected Memory Ranges
Impacted products
Vendor Product Version CPE status
Nsauditor SpotPaltalk Affected: 1.1.5
guessed Create a notification for this product.
Date Public
2019-05-10 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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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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