CVE-2026-10766 (GCVE-0-2026-10766)
Vulnerability from cvelistv5 – Published: 2026-06-03 20:00 – Updated: 2026-06-04 12:38
VLAI
EPSS
VEX
Title
mlrun DataFrame Hash helpers.py mlrun.utils.helpers.calculate_dataframe_hash weak hash
Summary
A vulnerability has been found in mlrun up to 1.12.0-rc3. This impacts the function mlrun.utils.helpers.calculate_dataframe_hash of the file mlrun/utils/helpers.py of the component DataFrame Hash Handler. The manipulation leads to use of weak hash. The attack can only be performed from a local environment. The complexity of an attack is rather high. The exploitability is said to be difficult. The exploit has been disclosed to the public and may be used. The pull request to fix this issue awaits acceptance.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/368136 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/368136/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-10766 | third-party-advisory |
| https://vuldb.com/submit/831419 | third-party-advisory |
| https://github.com/mlrun/mlrun/issues/9691 | exploitissue-tracking |
| https://github.com/mlrun/mlrun/pull/9692 | issue-trackingpatch |
| https://github.com/mlrun/mlrun/ | product |
Impacted products
Credits
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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.
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