FKIE_CVE-2026-10803
Vulnerability from fkie_nvd - Published: 2026-06-04 12:16 - Updated: 2026-07-22 20:10
Severity
Summary
A flaw has been found in MLflow up to 3.10.0. This issue affects the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. This manipulation causes use of weak hash. It is possible to launch the attack on the local host. The attack is considered to have high complexity. The exploitability is assessed as difficult. The exploit has been published and may be used. The project was informed of the problem early through a pull request but has not reacted yet.
References
| URL | Tags | ||
|---|---|---|---|
| cna@vuldb.com | https://github.com/mlflow/mlflow/ | Product | |
| cna@vuldb.com | https://github.com/mlflow/mlflow/issues/22419 | Exploit, Issue Tracking, Mitigation | |
| cna@vuldb.com | https://github.com/mlflow/mlflow/pull/22420 | Issue Tracking | |
| cna@vuldb.com | https://vuldb.com/cve/CVE-2026-10803 | Third Party Advisory, VDB Entry | |
| cna@vuldb.com | https://vuldb.com/submit/831462 | Third Party Advisory, VDB Entry | |
| cna@vuldb.com | https://vuldb.com/vuln/368252 | Third Party Advisory, VDB Entry | |
| cna@vuldb.com | https://vuldb.com/vuln/368252/cti | Permissions Required, VDB Entry | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://github.com/mlflow/mlflow/issues/22419 | Exploit, Issue Tracking, Mitigation |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| lfprojects | mlflow | * |
{
"affected": [
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:mlflow:mlflow:*:*:*:*:*:*:*:*"
],
"modules": [
"Dataset Digest Computation"
],
"product": "MLflow",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "3.0"
},
{
"status": "affected",
"version": "3.1"
},
{
"status": "affected",
"version": "3.2"
},
{
"status": "affected",
"version": "3.3"
},
{
"status": "affected",
"version": "3.4"
},
{
"status": "affected",
"version": "3.5"
},
{
"status": "affected",
"version": "3.6"
},
{
"status": "affected",
"version": "3.7"
},
{
"status": "affected",
"version": "3.8"
},
{
"status": "affected",
"version": "3.9"
},
{
"status": "affected",
"version": "3.10.0"
}
]
}
],
"source": "cna@vuldb.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
"matchCriteriaId": "BB66340A-C948-419D-BAC2-C5057F4C57D8",
"versionEndIncluding": "3.10.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A flaw has been found in MLflow up to 3.10.0. This issue affects the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. This manipulation causes use of weak hash. It is possible to launch the attack on the local host. The attack is considered to have high complexity. The exploitability is assessed as difficult. The exploit has been published and may be used. The project was informed of the problem early through a pull request but has not reacted yet."
},
{
"lang": "es",
"value": "Se ha encontrado una vulnerabilidad en MLflow hasta la versi\u00f3n 3.10.0. Este problema afecta a la funci\u00f3n mlflow.data.digest_utils del archivo mlflow/data/digest_utils.py del componente Dataset Digest Computation. Esta manipulaci\u00f3n provoca el uso de un hash d\u00e9bil. Es posible lanzar el ataque en el host local. Se considera que el ataque tiene una complejidad alta. La explotabilidad se eval\u00faa como dif\u00edcil. El exploit ha sido publicado y puede ser utilizado. El proyecto fue informado del problema tempranamente a trav\u00e9s de una pull request pero a\u00fan no ha reaccionado."
}
],
"id": "CVE-2026-10803",
"lastModified": "2026-07-22T20:10:00.127",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "HIGH",
"accessVector": "LOCAL",
"authentication": "SINGLE",
"availabilityImpact": "PARTIAL",
"baseScore": 2.4,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:H/Au:S/C:N/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 1.5,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "cna@vuldb.com",
"type": "Secondary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "LOW",
"baseScore": 3.6,
"baseSeverity": "LOW",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L",
"version": "3.1"
},
"exploitabilityScore": 1.0,
"impactScore": 2.5,
"source": "cna@vuldb.com",
"type": "Secondary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "HIGH",
"attackRequirements": "NONE",
"attackVector": "LOCAL",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 1.1,
"baseSeverity": "LOW",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "PROOF_OF_CONCEPT",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:L/AC:H/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "LOW",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "cna@vuldb.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-10803",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-04T12:55:46.959879Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-04T12:16:24.440",
"references": [
{
"source": "cna@vuldb.com",
"tags": [
"Product"
],
"url": "https://github.com/mlflow/mlflow/"
},
{
"source": "cna@vuldb.com",
"tags": [
"Exploit",
"Issue Tracking",
"Mitigation"
],
"url": "https://github.com/mlflow/mlflow/issues/22419"
},
{
"source": "cna@vuldb.com",
"tags": [
"Issue Tracking"
],
"url": "https://github.com/mlflow/mlflow/pull/22420"
},
{
"source": "cna@vuldb.com",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "https://vuldb.com/cve/CVE-2026-10803"
},
{
"source": "cna@vuldb.com",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "https://vuldb.com/submit/831462"
},
{
"source": "cna@vuldb.com",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "https://vuldb.com/vuln/368252"
},
{
"source": "cna@vuldb.com",
"tags": [
"Permissions Required",
"VDB Entry"
],
"url": "https://vuldb.com/vuln/368252/cti"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"tags": [
"Exploit",
"Issue Tracking",
"Mitigation"
],
"url": "https://github.com/mlflow/mlflow/issues/22419"
}
],
"sourceIdentifier": "cna@vuldb.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-327"
},
{
"lang": "en",
"value": "CWE-328"
}
],
"source": "cna@vuldb.com",
"type": "Secondary"
}
]
}
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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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