CVE-2021-1470 (GCVE-0-2021-1470)
Vulnerability from cvelistv5 – Published: 2024-11-15 16:38 – Updated: 2024-11-15 17:02
VLAI
EPSS
VEX
Title
Cisco SD-WAN SQL Injection Vulnerability
Summary
A vulnerability in the web-based management interface of Cisco SD-WAN vManage Software could allow an authenticated, remote attacker to conduct SQL injection attacks on an affected system.
This vulnerability is due to improper input validation of SQL queries to an affected system. An attacker could exploit this vulnerability by authenticating to the application and sending malicious SQL queries to an affected system. A successful exploit could allow the attacker to modify values on or return values from the vManage database or the underlying operating system.Cisco has released software updates that address these vulnerabilities. There are no workarounds that address these vulnerabilities.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-15 17:01 UTC
CWE
Assigner
cisco
CNA
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco Catalyst SD-WAN Manager |
Affected:
20.1.12
Affected: 19.2.1 Affected: 18.4.4 Affected: 18.4.5 Affected: 20.1.1.1 Affected: 20.1.1 Affected: 19.3.0 Affected: 19.2.2 Affected: 19.2.099 Affected: 18.3.6 Affected: 18.3.7 Affected: 19.2.0 Affected: 18.3.8 Affected: 19.0.0 Affected: 19.1.0 Affected: 18.4.302 Affected: 18.4.303 Affected: 19.2.097 Affected: 19.2.098 Affected: 17.2.10 Affected: 18.3.6.1 Affected: 19.0.1a Affected: 18.2.0 Affected: 18.4.3 Affected: 18.4.1 Affected: 17.2.8 Affected: 18.3.3.1 Affected: 18.4.0 Affected: 18.3.1 Affected: 17.2.6 Affected: 17.2.9 Affected: 18.3.4 Affected: 17.2.5 Affected: 18.3.1.1 Affected: 18.3.5 Affected: 18.4.0.1 Affected: 18.3.3 Affected: 17.2.7 Affected: 17.2.4 Affected: 18.3.0 Affected: 19.2.3 Affected: 18.4.501_ES Affected: 20.3.1 Affected: 20.1.2 Affected: 19.2.929 Affected: 19.2.31 Affected: 19.2.32 Affected: 18.4.6 Affected: 20.1.2_937 |
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Sightings
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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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