CVE-2026-23624 (GCVE-0-2026-23624)
Vulnerability from cvelistv5 – Published: 2026-02-04 17:15 – Updated: 2026-02-04 19:56
VLAI
EPSS
VEX
Title
GLPI is vulnerable to session stealing on externally authenticated user change
Summary
GLPI is a free asset and IT management software package. In versions starting from 0.71 to before 10.0.23 and before 11.0.5, when remote authentication is used, based on SSO variables, a user can steal a GLPI session previously opened by another user on the same machine. This issue has been patched in versions .
Severity
4.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-04 19:56 UTC
CWE
- CWE-384 - Session Fixation
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/glpi-project/glpi/security/adv… | x_refsource_CONFIRM |
| https://github.com/glpi-project/glpi/releases/tag… | x_refsource_MISC |
| https://github.com/glpi-project/glpi/releases/tag… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| glpi-project | glpi |
Affected:
>= 0.71, < 10.0.23
Affected: >= 11.0.0-alpha, < 11.0.5 |
guessed |
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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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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.
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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.