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Vulnerability record · CVE-2026-46607 · published 25 June 2026

CVE-2026-46607: Deserialization of untrusted data vulnerability

Glances is an open-source system cross-platform monitoring tool. Prior to 4.5.5, glances/outdated.py uses pickle.load() to read a version-check cache file stored at a predictable, world-accessible path (~/.cache/glances/glances-version.db or $XDG_CACHE_HOME/glances/glances-version.db). No integrity check, signature verification, or format validation is performed before deserialization. An attacker with write access to that path — through any of several realistic local or container-level scenarios — can plant a malicious pickle file and achieve arbitrary code execution as the OS user running Glances the next time it starts with version checking enabled (the default). This vulnerability is fixed in 4.5.5.

7.8 CVSS 3.1 High EPSS 0.36% · top 72.8% CWE-502 · Deserialization of untrusted data Deferred
7.8CVSS 3.1 base score
0.36%EPSS exploitation probability, 30 days
NoNot in CISA KEV
0Affected product versions listed by NVD
3References
25 Jun 2026Last modified by NVD

Description

Glances is an open-source system cross-platform monitoring tool. Prior to 4.5.5, glances/outdated.py uses pickle.load() to read a version-check cache file stored at a predictable, world-accessible path (~/.cache/glances/glances-version.db or $XDG_CACHE_HOME/glances/glances-version.db). No integrity check, signature verification, or format validation is performed before deserialization. An attacker with write access to that path — through any of several realistic local or container-level scenarios — can plant a malicious pickle file and achieve arbitrary code execution as the OS user running Glances the next time it starts with version checking enabled (the default). This vulnerability is fixed in 4.5.5.

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

References

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Source: NIST National Vulnerability Database (record CVE-2026-46607), CISA KEV, FIRST EPSS (scores of 2026-09-26). This page is refreshed as NVD updates the record.