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EUVD-2026-13221
European Vulnerability Database identifier assigned by ENISAReserved
2026-10-02 05:58
Assigner
ENISA
Alias of
a CVE record, shown under related vulnerabilities.
This identifier carries no description, severity or references of its own:
they belong to that CVE.
{
"assigner": "ENISA",
"date_reserved": "2026-10-02T05:58:14.846586+00:00",
"id": "EUVD-2026-13221"
}
CVE-2022-20947 (GCVE-0-2022-20947)
Vulnerability from cvelistv5 – Published: 2022-11-10 17:29 – Updated: 2024-08-03 02:31
VLAI
EPSS
VEX
Summary
A vulnerability in dynamic access policies (DAP) functionality of Cisco Adaptive Security Appliance (ASA) Software and Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to cause an affected device to reload, resulting in a denial of service (DoS) condition.
This vulnerability is due to improper processing of HostScan data received from the Posture (HostScan) module. An attacker could exploit this vulnerability by sending crafted HostScan data to an affected device. A successful exploit could allow the attacker to cause the affected device to reload, resulting in a DoS condition.
https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-asa-ftd-dap-dos-GhYZBxDU ["https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-asa-ftd-dap-dos-GhYZBxDU"]
This advisory is part of the November 2022 release of the Cisco ASA, FTD, and FMC Security Advisory Bundled publication.
Severity
8.6 (High)
CWE
- CWE-119 - Improper Restriction of Operations within the Bounds of a Memory Buffer
Assigner
References
1 reference
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco Adaptive Security Appliance (ASA) Software |
Affected:
9.12.1.3
Affected: 9.17.1 |
|
| Cisco | Cisco Firepower Threat Defense Software |
Affected:
6.2.3
Affected: 6.2.3.1 Affected: 6.2.3.2 Affected: 6.2.3.3 Affected: 6.2.3.4 Affected: 6.2.3.5 Affected: 6.2.3.6 Affected: 6.2.3.7 Affected: 6.2.3.8 Affected: 6.2.3.10 Affected: 6.2.3.11 Affected: 6.2.3.9 Affected: 6.2.3.12 Affected: 6.2.3.13 Affected: 6.2.3.14 Affected: 6.2.3.15 Affected: 6.2.3.16 Affected: 6.2.3.17 Affected: 6.2.3.18 Affected: 6.6.0 Affected: 6.6.0.1 Affected: 6.6.1 Affected: 6.6.3 Affected: 6.6.4 Affected: 6.6.5 Affected: 6.6.5.1 Affected: 6.4.0 Affected: 6.4.0.1 Affected: 6.4.0.3 Affected: 6.4.0.2 Affected: 6.4.0.4 Affected: 6.4.0.5 Affected: 6.4.0.6 Affected: 6.4.0.7 Affected: 6.4.0.8 Affected: 6.4.0.9 Affected: 6.4.0.10 Affected: 6.4.0.11 Affected: 6.4.0.12 Affected: 6.4.0.13 Affected: 6.4.0.14 Affected: 6.7.0 Affected: 6.7.0.1 Affected: 6.7.0.2 Affected: 6.7.0.3 Affected: 7.0.0 Affected: 7.0.0.1 Affected: 7.0.1 Affected: 7.0.1.1 Affected: 7.1.0 Affected: 7.1.0.1 Affected: 7.1.0.2 |
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"status": "affected",
"version": "6.7.0"
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"status": "affected",
"version": "6.7.0.1"
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{
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"version": "6.7.0.2"
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{
"status": "affected",
"version": "6.7.0.3"
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"version": "7.0.0"
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"confidentialityImpact": "NONE",
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"privilegesRequired": "NONE",
"scope": "CHANGED",
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Trend slope:
-
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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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