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GHSA-HJ42-9VR8-7FJ2
Vulnerability from github – Published: 2025-09-06 18:30 – Updated: 2025-09-06 18:30
VLAI
Details
Insufficient parameter validation while allocating process space in the Trusted OS (TOS) may allow for a malicious userspace process to trigger an integer overflow, leading to a potential denial of service.
Severity
4.1 (Medium)
{
"affected": [],
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"id": "GHSA-hj42-9vr8-7fj2",
"modified": "2025-09-06T18:30:32Z",
"published": "2025-09-06T18:30:32Z",
"references": [
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"type": "ADVISORY",
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CVE-2021-26377 (GCVE-0-2021-26377)
Vulnerability from cvelistv5 – Published: 2025-09-06 15:18 – Updated: 2025-09-08 13:47
VLAI
EPSS
VEX
Summary
Insufficient parameter validation while allocating process space in the Trusted OS (TOS) may allow for a malicious userspace process to trigger an integer overflow, leading to a potential denial of service.
Severity
4.1 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-08 13:46 UTC
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
Impacted products
26 products
| Vendor | Product | Version | |
|---|---|---|---|
| AMD | AMD Ryzen™ 5000 Series Processors with Radeon™ Graphics |
Unaffected:
CezannePI-FP6 1.0.0.8
|
|
| AMD | AMD Ryzen™ Threadripper™ 3000 Series Processors |
Unaffected:
CastlePeakPI-SP3r3 1.0.0.7
|
|
| AMD | AMD Ryzen™ Threadripper™ PRO 3000WX Series Processors |
Unaffected:
CastlePeakWSPI-sWRX8 1.0.0.9
|
|
| AMD | AMD Ryzen™ 5000 Series Mobile Processors with Radeon™ Graphics |
Unaffected:
CezannePI-FP6 1.0.0.8
|
|
| AMD | AMD Ryzen™ Threadripper™ PRO 5000 WX-Series Processors |
Unaffected:
ChagallWSPI-sWRX8 1.0.0.2
|
|
| AMD | AMD Ryzen™ 5000 Series Desktop Processors |
Unaffected:
ComboAM4v2 PI 1.2.0.5
|
|
| AMD | AMD Athlon™ 3000 Series Mobile Processors with Radeon™ Graphics |
Unaffected:
PicassoPI-FP5 1.0.0.E
Unaffected: PollockPI-FT5 1.0.0.4 |
|
| AMD | AMD Ryzen™ 3000 Series Desktop Processors |
Unaffected:
ComboAM4PI 1.0.0.9/ ComboAM4 V2 PI 1.2.0.8
|
|
| AMD | AMD Ryzen™ 7030 Series Mobile processors with Radeon™ Graphics |
Unaffected:
CezannePI-FP6 1.0.0.8
|
|
| AMD | AMD Ryzen™ 4000 Series Desktop Processors |
Unaffected:
ComboAM4v2 PI 1.2.0.5
|
|
| AMD | AMD Ryzen™ 4000 Series Mobile Processors with Radeon™ Graphics |
Unaffected:
RenoirPI-FP6 1.0.0.8
|
|
| AMD | AMD Ryzen™ 5000 Series Desktop Processors |
Unaffected:
ComboAM4 V2 PI 1.2.0.8
|
|
| AMD | AMD Ryzen™ 6000 Series Processors with Radeon™ Graphics |
Unaffected:
RembrandtPI-FP7_0.0.8.0 RC1
|
|
| AMD | AMD Ryzen™ Embedded R1000 Series Processors |
Unaffected:
EmbeddedPI-FP5_1.2.0.A
|
|
| AMD | AMD Ryzen™ Embedded R2000 Series Processors |
Unaffected:
EmbeddedR2KPI-FP5_1.0.0.2
|
|
| AMD | AMD Ryzen™ Embedded 5000 Series Processors |
Unaffected:
EmbAM4PI 1.0.0.2
|
|
| AMD | AMD Ryzen™ Embedded V1000 Series Processors |
Unaffected:
EmbeddedPI-FP5_1.2.0.A
|
|
| AMD | AMD Ryzen™ Embedded V2000 Series Processors |
Unaffected:
EmbeddedPI-FP6_1.0.0.6
|
|
| AMD | AMD Ryzen™ Embedded V3000 Series Processors |
Unaffected:
EmbeddedPI-FP7r2_1000
|
|
| AMD | AMD Radeon™ RX 5000 Series Graphics Products |
Unaffected:
AMD Software: Adrenalin Edition 24.7.1 (24.10.29.01)
Unaffected: AMD Software: PRO Edition 24.Q2 (24.10.20) |
|
| AMD | AMD Radeon™ PRO W5000 Series Graphics Products |
Unaffected:
AMD Software: PRO Edition 24.Q2 (24.10.20)
|
|
| AMD | AMD Radeon™ RX 6000 Series Graphics Products |
Unaffected:
AMD Software: Adrenalin Edition 24.7.1 (24.10.29.01)
Unaffected: AMD Software: PRO Edition 24.Q2 (24.10.20) |
|
| AMD | AMD Radeon™ PRO W6000 Series Graphics Products |
Unaffected:
AMD Software: PRO Edition 24.Q2 (24.10.20)
|
|
| AMD | AMD Radeon™ Instinct™ MI25 Graphics Products |
Unaffected:
Contact your AMD Customer Engineering representative
|
|
| AMD | AMD Radeon™ PRO V520 Graphics Products |
Unaffected:
Contact your AMD Customer Engineering representative
|
|
| AMD | AMD Radeon™ PRO V620 Graphics Products |
Unaffected:
Contact your AMD Customer Engineering representative
|
Date Public
2025-09-06 14:57
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Trend slope:
-
(linear fit over daily sighting counts)
Show additional events:
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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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