CVE-2021-43522 (GCVE-0-2021-43522)
Vulnerability from cvelistv5 – Published: 2022-02-02 23:41 – Updated: 2026-08-11 12:22
VLAI
EPSS
VEX
Summary
An issue was discovered in Insyde InsydeH2O with kernel 5.1 through 2021-11-08, 5.2 through 2021-11-08, and 5.3 through 2021-11-08. A StorageSecurityCommandDxe SMM memory corruption vulnerability allows an attacker to write fixed or predictable data to SMRAM. Exploiting this issue could lead to escalating privileges to SMM.
Severity
7.5 (High)
CWE
- n/a
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://www.insyde.com/security-pledge | x_refsource_MISC |
| https://security.netapp.com/advisory/ntap-2022021… | x_refsource_CONFIRM |
| https://cert-portal.siemens.com/productcert/pdf/s… | x_refsource_CONFIRM |
| https://www.kb.cert.org/vuls/id/796611 | |
| https://cert-portal.siemens.com/productcert/html/… |
Impacted products
18 products
| Vendor | Product | Version | |
|---|---|---|---|
| Siemens | RUGGEDCOM APE1808 - BIOS |
Affected:
0 , < V1.0.202N
(custom)
|
|
| Siemens | SIMATIC Field PG M5 |
Affected:
0 , < V22.01.10
(custom)
|
|
| Siemens | SIMATIC Field PG M6 |
Affected:
0 , < V26.01.13
(custom)
|
|
| Siemens | SIMATIC IPC127E |
Affected:
0 , < V27.01.09
(custom)
|
|
| Siemens | SIMATIC IPC227G |
Affected:
0 , < V28.01.04
(custom)
|
|
| Siemens | SIMATIC IPC277G |
Affected:
0 , < V28.01.04
(custom)
|
|
| Siemens | SIMATIC IPC277G PRO |
Affected:
0 , < V28.01.04
(custom)
|
|
| Siemens | SIMATIC IPC327G |
Affected:
0 , < V28.01.04
(custom)
|
|
| Siemens | SIMATIC IPC377G |
Affected:
0 , < V28.01.04
(custom)
|
|
| Siemens | SIMATIC IPC427E |
Affected:
0 , < V21.01.17
(custom)
|
|
| Siemens | SIMATIC IPC477E |
Affected:
0 , < V21.01.17
(custom)
|
|
| Siemens | SIMATIC IPC477E PRO |
Affected:
0 , < V21.01.17
(custom)
|
|
| Siemens | SIMATIC IPC627E |
Affected:
0 , < V25.02.12
(custom)
|
|
| Siemens | SIMATIC IPC647E |
Affected:
0 , < V25.02.12
(custom)
|
|
| Siemens | SIMATIC IPC677E |
Affected:
0 , < V25.02.12
(custom)
|
|
| Siemens | SIMATIC IPC847E |
Affected:
0 , < V25.02.12
(custom)
|
|
| Siemens | SIMATIC ITP1000 |
Affected:
0 , < V23.01.10
(custom)
|
|
| Siemens | SIPLUS IPC427E |
Affected:
0 , < V21.01.17
(custom)
|
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"url": "https://cert-portal.siemens.com/productcert/pdf/ssa-306654.pdf"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://security.netapp.com/advisory/ntap-20220216-0003/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://www.insyde.com/security-pledge"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://www.kb.cert.org/vuls/id/796611"
},
{
"source": "0b142b55-0307-4c5a-b3c9-f314f3fb7c5e",
"url": "https://cert-portal.siemens.com/productcert/html/ssa-306654.html"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-787"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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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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