CVE-2024-46723 (GCVE-0-2024-46723)
Vulnerability from cvelistv5 – Published: 2024-09-18 06:32 – Updated: 2026-05-11 20:35
VLAI
EPSS
VEX
Title
drm/amdgpu: fix ucode out-of-bounds read warning
Summary
In the Linux kernel, the following vulnerability has been resolved:
drm/amdgpu: fix ucode out-of-bounds read warning
Clear warning that read ucode[] may out-of-bounds.
Severity
No CVSS data available.
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-29 14:56 UTC
Assigner
References
10 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
d38ceaf99ed015f2a0b9af3499791bd3a3daae21 , < 82ac8f1d02886b5d8aeb9e058989d3bd6fc581e2
(git)
Affected: d38ceaf99ed015f2a0b9af3499791bd3a3daae21 , < e789e05388854a5436b2b5d8695fdb864c9bcc27 (git) Affected: d38ceaf99ed015f2a0b9af3499791bd3a3daae21 , < 5f09fa5e0ad45fbca71933a0e024ca52da47d59b (git) Affected: d38ceaf99ed015f2a0b9af3499791bd3a3daae21 , < 0bef65e069d84d1cd77ce757aea0e437b8e2bd33 (git) Affected: d38ceaf99ed015f2a0b9af3499791bd3a3daae21 , < 8981927ebc6c12fa76b30c4178acb462bab15f54 (git) Affected: d38ceaf99ed015f2a0b9af3499791bd3a3daae21 , < f2b7a9f3839e92f43559b2795b34640ca8cf839f (git) Affected: d38ceaf99ed015f2a0b9af3499791bd3a3daae21 , < 23fefef859c6057e6770584242bdd938254f8ddd (git) Affected: d38ceaf99ed015f2a0b9af3499791bd3a3daae21 , < 8944acd0f9db33e17f387fdc75d33bb473d7936f (git) |
guessed | |
| Linux | Linux |
Affected:
4.2
Unaffected: 0 , < 4.2 (semver) Unaffected: 4.19.322 , ≤ 4.19.* (semver) Unaffected: 5.4.284 , ≤ 5.4.* (semver) Unaffected: 5.10.226 , ≤ 5.10.* (semver) Unaffected: 5.15.167 , ≤ 5.15.* (semver) Unaffected: 6.1.109 , ≤ 6.1.* (semver) Unaffected: 6.6.50 , ≤ 6.6.* (semver) Unaffected: 6.10.9 , ≤ 6.10.* (semver) Unaffected: 6.11 , ≤ * (original_commit_for_fix) |
guessed |
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"redhat_vex": {
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"cve": "CVE-2024-46723",
"id": "CVE-2024-46723",
"initial_release_date": "2024-09-18T00:00:00+00:00",
"product_status:fixed": "305",
"product_status:known_affected": "98",
"product_status:known_not_affected": "14",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: drm/amdgpu: fix ucode out-of-bounds read warning",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2024/cve-2024-46723.json",
"version": "3"
},
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"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2024-46723",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2024-46723.json",
"version": "57"
},
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}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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
| Author | Source | Type | Date | Other |
|---|
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.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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