CVE-2026-10195 (GCVE-0-2026-10195)
Vulnerability from cvelistv5 – Published: 2026-09-01 15:30 – Updated: 2026-09-01 17:07
VLAI
EPSS
VEX
Title
FS Poster <= 8.0.1 - Authenticated (Subscriber+) Remote Code Execution via FFmpeg Path Setting
Summary
The FS-Poster plugin for WordPress is vulnerable to Remote Code Execution in versions up to and including 8.0.1. This is due to insufficient input sanitization of the FFmpeg path parameter before passing it to the exec() function, combined with missing authorization checks on the REST API endpoints. This makes it possible for authenticated attackers, with subscriber-level access and above, to execute arbitrary commands on the underlying server.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-01 17:06 UTC
CWE
- CWE-77 - Improper Neutralization of Special Elements used in a Command ('Command Injection')
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| fs-code | FS Poster - WordPress Social media Auto Poster & Scheduler [Facebook, Instagram, Twitter, Pinterest] |
Affected:
0 , ≤ 8.0.1
(semver)
|
guessed |
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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
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Sightings and recorded dates, grouped by day · UTC
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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.
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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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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.