CVE-2026-20362 (GCVE-0-2026-20362)
Vulnerability from cvelistv5 – Published: 2026-10-07 16:12 – Updated: 2026-10-07 19:23
VLAI
EPSS
VEX
Title
Cisco Finesse Server-Side Request Forgery Vulnerability
Summary
A vulnerability in the web-based management interface of Cisco Finesse could allow an unauthenticated, remote attacker to conduct server-side request forgery (SSRF) attacks through an affected device.
This vulnerability is due to improper input validation for specific HTTP requests. An attacker could exploit this vulnerability by sending a crafted HTTP request to an affected device. A successful exploit could allow the attacker to obtain limited sensitive information for services that are associated with the affected device.
Severity
7.2 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-07 19:11 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Cisco | Cisco Finesse |
Affected:
12.6(1)
Affected: 12.6(1)ES1 Affected: 12.6(1)ES2 Affected: 12.6(1)ES3 Affected: 12.6(1)ES4 Affected: 12.6(1)ES5 Affected: 12.6(1)ES6 Affected: 12.6(1)ES7 Affected: 12.6(1)ES7_ET Affected: 12.6(2) Affected: 12.6(1)ES8 Affected: 12.6(1)ES9 Affected: 12.6(2)ES1 Affected: 12.6(1)ES10 Affected: 12.6(1)ES11 Affected: 12.6(2)ES2 Affected: 12.6(2)ES3 Affected: 12.6(2)ES4 Affected: 12.6(2)ES5 Affected: 15.0(1) Affected: 12.6(2)ES6 Affected: 15.0(1)ES202508 Affected: 15.0(1)ES202511 Affected: 15.0(1)ES202602 Affected: 15.0(1)SU1 Affected: 12.6(2)ES7 Affected: 15.0(1)SU2 Affected: 12.6(2)ES8 |
guessed |
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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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