CVE-2026-60080 (GCVE-0-2026-60080)

Vulnerability from cvelistv5 – Published: 2026-07-21 10:54 – Updated: 2026-07-22 16:12
VLAI
Title
Apache Fory: Rust MetaString heap use-after-free
Summary
Use After Free vulnerability in the Rust deserialization logic of Apache Fory. This issue affects Apache Fory from 0.13.0 through 1.3.0. A crafted Fory payload could cause undefined behavior, process crash, or potential memory disclosure. Users are recommended to upgrade to version 1.4.0, which fixes the issue.
Severity
7.3 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-22 16:11 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
Apache Software Foundation Apache Fory Affected: 0.13.0 , ≤ 1.3.0 (semver)
guessed Create a notification for this product.
Credits
Nguyen Van Hiep (@hypnguyen1209) from MBBank
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

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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.


Detection rules are retrieved from Rulezet.


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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.