CVE-2024-36343 (GCVE-0-2024-36343)
Vulnerability from cvelistv5 – Published: 2026-05-19 21:03 – Updated: 2026-05-20 13:46
VLAI
EPSS
VEX
Summary
Improper input validation in the System Management Mode (SMM) communications buffer could allow a privileged attacker to perform an out of bounds read or write to a limited section of the Top of Memory Segment (TSEG) memory region, potentially resulting in loss of confidentiality or integrity.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-20 13:46 UTC
CWE
- CWE-124 - Buffer Underwrite ('Buffer Underflow')
Assigner
References
Impacted products
18 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| AMD | AMD EPYC™ 4004 |
Unaffected:
ComboAM5PI 1.1.0.3d
|
guessed | |
| AMD | AMD EPYC™ 4005 |
Unaffected:
ComboAM5 1.2.0.3j
|
guessed | |
| AMD | AMD Ryzen™ 6000 Series Processors with Radeon™ Graphics |
Unaffected:
RembrandtPI-FP7_1.0.0.Bg
|
guessed | |
| AMD | AMD Ryzen™ 7040 Series Mobile Processors with Radeon™ Graphics |
Unaffected:
PhoenixPI-FP8-FP7_1.2.0.0f
|
guessed | |
| AMD | AMD Ryzen™ 7045 Series Mobile Processors with Radeon™ Graphics |
Unaffected:
DragonRangeFL1_1.0.0.3l
|
guessed | |
| AMD | AMD Ryzen™ 7000 Series Desktop Processors |
Unaffected:
ComboAM5-PI_1.0.0.e
Unaffected: ComboAM5PI 1.1.0.3g Unaffected: ComboAM5 1.2.0.3j |
guessed | |
| AMD | AMD Ryzen™ 9000HX Series Mobile Processors |
Unaffected:
FireRangeFL1PI 1.0.0.0f
|
guessed | |
| AMD | AMD Ryzen™ AI MAX |
Unaffected:
StrixHaloPI-FP11_1.0.0.2b
|
guessed | |
| AMD | AMD Ryzen™ AI 300 Series Processors |
Unaffected:
StrixKrackanPI-FP8_1.1.0.0f
Unaffected: StrixKrackanPI-FP8_1.1.0.2e |
guessed | |
| AMD | AMD Ryzen™ Threadripper™ 7000 Processors |
Unaffected:
StormPeakPI-SP6 1.1.0.0k
|
guessed | |
| AMD | AMD Ryzen™ Threadripper™ PRO 7000 WX-Series Processors |
Unaffected:
StormPeakPI-SP6 1.0.0.1m
Unaffected: StormPeakPI-SP6_1.1.0.0k |
guessed | |
| AMD | AMD Ryzen™ 8000 Series Desktop Processors |
Unaffected:
ComboAM5PI 1.1.0.3g
|
guessed | |
| AMD | AMD Ryzen™ 8000 Series Desktop Processors |
Unaffected:
ComboAM5 1.2.0.3j
|
guessed | |
| AMD | AMD Ryzen™ 9000 Series Desktop Processors |
Unaffected:
ComboAM5 1.2.0.3j
|
guessed | |
| AMD | AMD Ryzen™ Embedded V3000 Series Processors |
Unaffected:
Embedded-PI_FP7r2 100F
|
guessed | |
| AMD | AMD Ryzen™ Embedded 7000 Series Processors |
Unaffected:
EmbeddedAM5PI 1.0.0.5
|
guessed | |
| AMD | AMD Ryzen™ Embedded 8000 Series Processors |
Unaffected:
EmbeddedPhoenixPI-FP7r2_1.0.0.4
|
guessed | |
| AMD | AMD Ryzen™ Embedded 9000 Series Processors |
Unaffected:
EmbeddedAM5PI 1.0.0.7
|
guessed |
Date Public
2026-05-19 21:02
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"timestamp": "2026-05-20T13:46:11.620172Z",
"version": "2.0.3"
},
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},
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],
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"status": "unaffected",
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{
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},
{
"defaultStatus": "affected",
"product": "AMD Ryzen\u2122 AI MAX",
"vendor": "AMD",
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"status": "unaffected",
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},
{
"defaultStatus": "affected",
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"status": "unaffected",
"version": "StrixKrackanPI-FP8_1.1.0.0f"
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},
{
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},
{
"defaultStatus": "affected",
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"status": "unaffected",
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},
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],
"datePublic": "2026-05-19T21:02:00.000Z",
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}
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],
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"Recovery": "NOT_DEFINED",
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"valueDensity": "NOT_DEFINED",
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"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
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{
"lang": "en",
"value": "GENERAL"
}
]
}
],
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{
"descriptions": [
{
"cweId": "CWE-124",
"description": "CWE-124 Buffer Underwrite (\u0027Buffer Underflow\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-05-19T21:03:48.439Z",
"orgId": "b58fc414-a1e4-4f92-9d70-1add41838648",
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},
"references": [
{
"url": "https://www.amd.com/en/resources/product-security/bulletin/AMD-SB-3030.html"
},
{
"url": "https://www.amd.com/en/resources/product-security/bulletin/AMD-SB-4017.html"
}
],
"source": {
"discovery": "UNKNOWN"
},
"x_generator": {
"engine": "AMD PSIRT Automation 1.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "b58fc414-a1e4-4f92-9d70-1add41838648",
"assignerShortName": "AMD",
"cveId": "CVE-2024-36343",
"datePublished": "2026-05-19T21:03:09.395Z",
"dateReserved": "2024-05-23T19:44:47.200Z",
"dateUpdated": "2026-05-20T13:46:23.737Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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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