CVE-2026-75034 (GCVE-0-2026-75034)
Vulnerability from cvelistv5 – Published: 2026-09-03 15:01 – Updated: 2026-09-04 03:56
VLAI
EPSS
VEX
Title
Rancher: SAML Assertion Replay
Summary
A flaw was found in Rancher Manager. The SAML assertion replay protection introduced by the fix for CVE-2026-44946 recorded consumed assertion IDs in a per-process cache, so each replica only detected replays that reached the same pod. In a high-availability deployment, an attacker holding a captured assertion could replay it once against every other replica to obtain additional authenticated sessions as the victim.
This issue affects Rancher: before 2.15.1.
Severity
7.4 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-03 00:00 UTC
CWE
- CWE-294 - Authentication bypass by capture-replay
Assigner
References
1 reference
Impacted products
Date Public
2026-08-31 14:58
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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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