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SUSE-SU-2025:03520-1

Vulnerability from csaf_suse - Published: 2025-10-10 07:22 - Updated: 2025-10-10 07:22
Summary
Security update for cJSON
Severity
Important
Notes
Title of the patch: Security update for cJSON
Description of the patch: This update for cJSON fixes the following issues: - CVE-2023-26819: Allocate memory for the temporary buffer when paring numbers (bsc#1241502) - CVE-2025-57052: Fix the incorrect check in decode_array_index_from_pointer (bsc#1249112)
Patchnames: SUSE-2025-3520,SUSE-SLE-Product-WE-15-SP7-2025-3520
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
Affected products
Product Identifier Version Remediation
Unresolved product id: SUSE Linux Enterprise Workstation Extension 15 SP7:libcjson1-1.7.19-150700.3.3.1.x86_64
Vendor Fix
Threats
Impact low
Affected products
Recommended 1 product, the same list as for CVE-2023-26819
Threats
Impact important

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}



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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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