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CVE-2024-21634 (GCVE-0-2024-21634)

Vulnerability from cvelistv5 – Published: 2024-01-03 22:46 – Updated: 2025-11-03 21:53
VLAI
Title
Ion Java StackOverflow vulnerability
Summary
Amazon Ion is a Java implementation of the Ion data notation. Prior to version 1.10.5, a potential denial-of-service issue exists in `ion-java` for applications that use `ion-java` to deserialize Ion text encoded data, or deserialize Ion text or binary encoded data into the `IonValue` model and then invoke certain `IonValue` methods on that in-memory representation. An actor could craft Ion data that, when loaded by the affected application and/or processed using the `IonValue` model, results in a `StackOverflowError` originating from the `ion-java` library. The patch is included in `ion-java` 1.10.5. As a workaround, do not load data which originated from an untrusted source or that could have been tampered with.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-01-30 20:22 UTC
CWE
  • CWE-770 - Allocation of Resources Without Limits or Throttling
Impacted products
Vendor Product Version CPE status
amazon-ion ion-java Affected: < 1.10.5
guessed Create a notification for this product.
Show details on NVD website

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  • 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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