CVE-2026-48055
Published: 17 June 2026
Summary
CVE-2026-48055 is a critical-severity Improper Input Validation (CWE-20) vulnerability. Its CVSS base score is 10.0 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Client Execution (T1203); ranked at the 45.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
No EU or UK CSIRT advisories indexed for this CVE.
Vulnerability details
Streambert is a cross-platform Electron Desktop App to stream and download any video media. In versions 2.4.0 and prior, a high-severity Zip Slip vulnerability was identified in Streambert's subtitle extraction logic. The application does not sanitize archive entry filenames during…
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extraction, allowing a malicious archive to perform path traversal and write arbitrary files to the host filesystem. The subtitle extraction process downloads a ZIP archive and extracts its entries. The destination file path is constructed by concatenating the raw archive entry name (extracted.name) directly to the temporary directory path. If a malicious ZIP archive containing directory traversal sequences is processed, it escapes the temporary directory boundaries. The application then writes the extracted payload anywhere on the host filesystem subject to the application's current write permissions. This issue has been fixed in version 2.5.0.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Zip Slip enables arbitrary file write via malicious archive, directly facilitating client-side code execution (T1203) and persistence via dropped autostart payloads (T1547.001).
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Directly implements checks on information inputs to reject invalid data before processing.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.