FKIE_CVE-2025-10951
Vulnerability from fkie_nvd - Published: 2025-09-25 15:16 - Updated: 2026-10-11 20:10
Severity
Summary
A vulnerability was identified in geyang ml-logger up to acf255bade5be6ad88d90735c8367b28cbe3a743. Affected by this vulnerability is the function log_handler of the file ml_logger/server.py. Such manipulation of the argument File leads to path traversal. It is possible to launch the attack remotely. The exploit is publicly available and might be used. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "ml-logger",
"vendor": "geyang",
"versions": [
{
"status": "affected",
"version": "acf255bade5be6ad88d90735c8367b28cbe3a743"
}
]
}
],
"source": "cna@vuldb.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A vulnerability was identified in geyang ml-logger up to acf255bade5be6ad88d90735c8367b28cbe3a743. Affected by this vulnerability is the function log_handler of the file ml_logger/server.py. Such manipulation of the argument File leads to path traversal. It is possible to launch the attack remotely. The exploit is publicly available and might be used. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available."
},
{
"lang": "es",
"value": "Se identific\u00f3 una vulnerabilidad en geyang ml-logger hasta acf255bade5be6ad88d90735c8367b28cbe3a743. Afectada por esta vulnerabilidad es la funci\u00f3n log_handler del archivo ml_logger/server.py. Dicha manipulaci\u00f3n del argumento File conduce a un salto de ruta. Es posible lanzar el ataque de forma remota. El exploit est\u00e1 disponible p\u00fablicamente y podr\u00eda ser utilizado. Este producto adopta el enfoque de lanzamientos continuos para proporcionar entrega continua. Por lo tanto, los detalles de la versi\u00f3n para las versiones afectadas y actualizadas no est\u00e1n disponibles."
}
],
"id": "CVE-2025-10951",
"lastModified": "2026-10-11T20:10:00.200",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "cna@vuldb.com",
"type": "Secondary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.4,
"source": "cna@vuldb.com",
"type": "Secondary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"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": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/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": "LOW",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "cna@vuldb.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-10951",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-09-26T18:06:55.949429Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-09-25T15:16:10.233",
"references": [
{
"source": "cna@vuldb.com",
"url": "https://github.com/geyang/ml-logger/issues/73"
},
{
"source": "cna@vuldb.com",
"url": "https://vuldb.com/?ctiid.325821"
},
{
"source": "cna@vuldb.com",
"url": "https://vuldb.com/?id.325821"
},
{
"source": "cna@vuldb.com",
"url": "https://vuldb.com/?submit.652462"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/geyang/ml-logger/issues/73"
}
],
"sourceIdentifier": "cna@vuldb.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-22"
}
],
"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.
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.
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.
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