CVE-2026-20206 (GCVE-0-2026-20206)
Vulnerability from cvelistv5 – Published: 2026-05-20 16:06 – Updated: 2026-05-21 13:06
VLAI
EPSS
VEX
Title
Cisco ThousandEyes BrowserBot Command Injection Vulnerability
Summary
A vulnerability in the BrowserBot component of Cisco ThousandEyes Enterprise Agent could have allowed an authenticated, remote attacker to execute arbitrary commands on Agents on behalf of the BrowserBot synthetics orchestration process. Cisco has addressed this vulnerability in the Cisco ThousandEyes Enterprise Agent, and no customer action is needed.
This vulnerability was due to insufficient input validation of command arguments that are supplied by the user. Prior to this vulnerability being addressed, an attacker could have exploited this vulnerability by authenticating to the ThousandEyes SaaS and submitting crafted input into the affected parameter. A successful exploit could have allowed the attacker to execute arbitrary commands within the BrowserBot container as the node user.
To exploit this vulnerability, the attacker must have valid user credentials for the ThousandEyes SaaS and the ability to manage transaction tests.
Severity
6.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-21 03:55 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Cisco | Cisco ThousandEyes Enterprise Agent |
Affected:
Agent 5.0
Affected: Agent 4.4.4 Affected: Agent 4.4.3 Affected: Agent 4.4.2 Affected: Agent 4.2 Affected: Agent 4.1 Affected: Agent 4.0 Affected: Agent 5.1 Affected: Agent 5.1.2 Affected: Agent 5.1.3 |
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.
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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