CVE-2026-52873 (GCVE-0-2026-52873)
Vulnerability from cvelistv5 – Published: 2026-08-18 21:28 – Updated: 2026-08-21 19:18
VLAI
EPSS
VEX
Title
Streambert: Global CSP Removal in Wyzie Redeem Window Enables Unconstrained XSS in Electron Renderer
Summary
Streambert is a cross-platform Electron Desktop App to stream and download video content. From version 2.5.0 until version 2.6.0, the wyzie-open-redeem IPC handler in index.js creates the partition:wyzie-redeem Electron session and registers an onHeadersReceived hook that removes the Content-Security-Policy header from every response in that session. The redeem window also lacks a setWindowOpenHandler restriction, so script injection in sub.wyzie.io, a loaded third-party resource, or a site reached through navigation executes without CSP constraints and can affect additional windows and persistent session storage. A user must open the Wyzie API key redemption window, and exploitation requires attacker-controlled script content in a loaded page. The resulting renderer script can invoke renderer-exposed application functionality and can be chained with other vulnerabilities to access internal services or sensitive data. This issue is fixed in version 2.6.0.
Severity
6.9 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-21 19:17 UTC
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/truelockmc/streambert/security… | x_refsource_CONFIRM |
| https://github.com/truelockmc/streambert/pull/126 | x_refsource_MISC |
| https://github.com/truelockmc/streambert/commit/0… | x_refsource_MISC |
| https://github.com/truelockmc/streambert/releases… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| truelockmc | streambert |
Affected:
< 2.6.0
|
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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