CVE-2026-107216 (GCVE-0-2026-107216)

Vulnerability from cvelistv5 – Published: 2026-10-07 17:51 – Updated: 2026-10-07 18:51
VLAI
Title
Excelize ANCHORARRAY: mutually-referencing array formulas recurse unboundedly via re-entrant CalcCellValue, causing a fatal stack overflow
Summary
Excelize is a Go language library for reading and writing Microsoft Excel spreadsheets. From 2.8.1 to 2.11.0, ANCHORARRAY recursively calls the exported CalcCellValue function, creating a fresh calculation context at each cycle and bypassing in-flight and iteration controls. ANCHORARRAY calls CalcCellValue instead of cellResolver, so each recursive hop receives a new calcContext and loses cycle state. When mutually referencing dynamic-array formulas are evaluated directly or through formula-evaluating APIs, each recursion hop resets the cycle budget and prevents completion-based caches from breaking the cycle, allowing an attacker to cause a fatal Go stack overflow and abort the process. No fixed version is available as of this review.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-07 18:50 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
qax-os excelize Affected: >= 2.8.1, <= 2.11.0
guessed Create a notification for this product.
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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.
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  • 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.



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.