CVE-2021-45117 (GCVE-0-2021-45117)
Vulnerability from cvelistv5 – Published: 2022-03-21 14:05 – Updated: 2024-08-04 04:39
VLAI
EPSS
VEX
Summary
The OPC autogenerated ANSI C stack stubs (in the NodeSets) do not handle all error cases. This can lead to a NULL pointer dereference.
Severity
6.5 (Medium)
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://www.youtube.com/watch?v=qv-RBdCaV4k | x_refsource_MISC |
| https://files.opcfoundation.org/SecurityBulletins… | x_refsource_MISC |
| https://cert-portal.siemens.com/productcert/pdf/s… | x_refsource_CONFIRM |
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"redhat_vex": {
"current_release_date": "2026-03-27T13:16:52+00:00",
"cve": "CVE-2021-45117",
"id": "CVE-2021-45117",
"initial_release_date": "2021-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "CVE-2021-45117",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-45117.json",
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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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