FKIE_CVE-2024-7010
Vulnerability from fkie_nvd - Published: 2024-10-29 13:15 - Updated: 2026-06-17 08:19
Severity
Summary
mudler/localai version 2.17.1 is vulnerable to a Timing Attack. This type of side-channel attack allows an attacker to compromise the cryptosystem by analyzing the time taken to execute cryptographic algorithms. Specifically, in the context of password handling, an attacker can determine valid login credentials based on the server's response time, potentially leading to unauthorized access.
References
{
"affected": [
{
"affectedData": [
{
"product": "mudler/localai",
"vendor": "mudler",
"versions": [
{
"lessThan": "2.21",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"source": "security@huntr.dev"
},
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:mudler:localai:*:*:*:*:*:*:*:*"
],
"defaultStatus": "unknown",
"product": "localai",
"vendor": "mudler",
"versions": [
{
"lessThan": "2.21",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:mudler:localai:2.17.1:*:*:*:*:*:*:*",
"matchCriteriaId": "CDCAF2D5-46FD-4D8E-B65B-9BE9FDD5D686",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "mudler/localai version 2.17.1 is vulnerable to a Timing Attack. This type of side-channel attack allows an attacker to compromise the cryptosystem by analyzing the time taken to execute cryptographic algorithms. Specifically, in the context of password handling, an attacker can determine valid login credentials based on the server\u0027s response time, potentially leading to unauthorized access."
},
{
"lang": "es",
"value": " La versi\u00f3n 2.17.1 de mudler/localai es vulnerable a un ataque de sincronizaci\u00f3n. Este tipo de ataque de canal lateral permite a un atacante comprometer el sistema criptogr\u00e1fico analizando el tiempo que lleva ejecutar algoritmos criptogr\u00e1ficos. Espec\u00edficamente, en el contexto del manejo de contrase\u00f1as, un atacante puede determinar credenciales de inicio de sesi\u00f3n v\u00e1lidas en funci\u00f3n del tiempo de respuesta del servidor, lo que puede provocar un acceso no autorizado."
}
],
"id": "CVE-2024-7010",
"lastModified": "2026-06-17T08:19:10.910",
"metrics": {
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "security@huntr.dev",
"type": "Secondary"
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-7010",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-10-29T13:18:36.382204Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-10-29T13:15:08.683",
"references": [
{
"source": "security@huntr.dev",
"tags": [
"Patch"
],
"url": "https://github.com/mudler/localai/commit/db1159b6511e8fa09e594f9db0fec6ab4e142468"
},
{
"source": "security@huntr.dev",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://huntr.com/bounties/e286ed00-6383-47de-b5bc-9b9fad67c362"
}
],
"sourceIdentifier": "security@huntr.dev",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-208"
}
],
"source": "security@huntr.dev",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-203"
}
],
"source": "nvd@nist.gov",
"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.
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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.