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CVE-2024-8654 (GCVE-0-2024-8654)

Vulnerability from cvelistv5 – Published: 2024-09-10 13:35 – Updated: 2025-05-16 23:03
VLAI
Title
MongoDB Server may access non-initialized region of memory leading to unexpected behaviour
Summary
MongoDB Server may access non-initialized region of memory leading to unexpected behaviour when zero arguments are called in internal aggregation stage. This issue affected MongoDB Server v6.0 version 6.0.3.
Severity
5 (Medium)
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:L
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-10 14:46 UTC
CWE
  • CWE-908 - Use of Uninitialized Resource
Assigner
References
Impacted products
Vendor Product Version CPE status
MongoDB Inc MongoDB Server Affected: 6.0.3
    cpe:2.3:a:mongodb:mongodb:6.0.3:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2024-09-10 12:29
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

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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.