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EUVD-2026-201803
European Vulnerability Database identifier assigned by ENISAReserved
2026-10-02 06:45
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": "2026-10-02T06:45:28.585903+00:00",
"id": "EUVD-2026-201803"
}
CVE-2024-20373 (GCVE-0-2024-20373)
Vulnerability from cvelistv5 – Published: 2024-11-15 14:52 – Updated: 2024-11-15 16:20
VLAI
EPSS
VEX
Title
Cisco IOS and Cisco IOS XE SNMP Extended ACL Bypass Vulnerability
Summary
A vulnerability in the implementation of the Simple Network Management Protocol (SNMP) IPv4 access control list (ACL) feature of Cisco IOS Software and Cisco IOS XE Software could allow an unauthenticated, remote attacker to perform SNMP polling of an affected device, even if it is configured to deny SNMP traffic.
This vulnerability exists because Cisco IOS Software and Cisco IOS XE Software do not support extended IPv4 ACLs for SNMP, but they do allow administrators to configure extended named IPv4 ACLs that are attached to the SNMP server configuration without a warning message. This can result in no ACL being applied to the SNMP listening process. An attacker could exploit this vulnerability by performing SNMP polling of an affected device. A successful exploit could allow the attacker to perform SNMP operations that should be denied. The attacker has no control of the SNMP ACL configuration and would still need a valid SNMP version 2c (SNMPv2c) community string or SNMP version 3 (SNMPv3) user credentials.
SNMP with IPv6 ACL configurations is not affected.
For more information, see the section of this advisory.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-15 16:20 UTC
CWE
- CWE-284 - Improper Access Control
Assigner
References
1 reference
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco IOS XE Catalyst SD-WAN |
Affected:
16.10.6
Affected: 16.12.3 Affected: 16.12.1 Affected: 16.10.4 Affected: 16.10.5 Affected: 16.12.4 Affected: 16.10.3 Affected: 16.10.3a Affected: 16.10.3b Affected: 16.11.1s Affected: 16.11.1a Affected: 16.10.1 Affected: 16.11.1f Affected: 16.9.4 Affected: 16.9.3 Affected: 16.10.2 Affected: 16.11.1b Affected: 16.11.1 Affected: 16.12.5 Affected: 16.11.1d |
|
| cisco | ios_xe_catalyst_sd-wan |
Affected:
16.10.1
Affected: 16.10.2 Affected: 16.10.3 Affected: 16.10.3a Affected: 16.10.3b Affected: 16.10.4 Affected: 16.10.5 Affected: 16.10.6 Affected: 16.11.1 Affected: 16.11.1a Affected: 16.11.1b Affected: 16.11.1d Affected: 16.11.1f Affected: 16.11.1s Affected: 16.12.1 Affected: 16.12.3 Affected: 16.12.4 Affected: 16.12.5 Affected: 16.9.3 cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.10.1:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.10.2:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.10.3:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.10.3a:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.10.3b:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.10.4:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.10.5:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.10.6:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.11.1:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.11.1a:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.11.1b:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.11.1d:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.11.1f:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.11.1s:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.12.1:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.12.3:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.12.4:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.12.5:*:*:*:*:*:*:* cpe:2.3:a:cisco:ios_xe_catalyst_sd-wan:16.9.3:*:*:*:*:*:*:* |
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"metrics": [
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"name": "cisco-sa-snmp-uwBXfqww",
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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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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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