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CVE-2024-6285 (GCVE-0-2024-6285)

Vulnerability from cvelistv5 – Published: 2024-06-24 15:32 – Updated: 2024-08-01 21:33
VLAI
Title
Integer Underflow in Memory Range Check in Renesas RCAR
Summary
Integer Underflow (Wrap or Wraparound) vulnerability in Renesas arm-trusted-firmware. An integer underflow in image range check calculations could lead to bypassing address restrictions and loading of images to unallowed addresses.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-06-24 20:03 UTC
CWE
  • CWE-191 - Integer Underflow (Wrap or Wraparound)
Impacted products
Vendor Product Version CPE status
Renesas rcar_gen3_v2.5 Affected: c2f286820471ed276c57e603762bd831873e5a17 , < b596f580637bae919b0ac3a5471422a1f756db3b (git)
guessed Create a notification for this product.
renesas rcar_gen3_v2.5 Affected: c2f286820471ed276c57e603762bd831873e5a17 , < b596f580637bae919b0ac3a5471422a1f756db3b (custom)
    cpe:2.3:a:renesas:rcar_gen3_v2.5:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2023-04-23 09:46
Show details on NVD website

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  • 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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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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