FKIE_CVE-2024-4680
Vulnerability from fkie_nvd - Published: 2024-06-08 20:15 - Updated: 2026-06-17 08:02
Severity
Summary
A vulnerability in zenml-io/zenml version 0.56.3 allows attackers to reuse old session credentials or session IDs due to insufficient session expiration. Specifically, the session does not expire after a password change, enabling an attacker to maintain access to a compromised account without the victim's ability to revoke this access. This issue was observed in a self-hosted ZenML deployment via Docker, where after changing the password from one browser, the session remained active and usable in another browser without requiring re-authentication.
References
| URL | Tags | ||
|---|---|---|---|
| security@huntr.dev | https://huntr.com/bounties/c88f6bd2-490d-4930-98dd-03651b20230a | Exploit, Issue Tracking | |
| af854a3a-2127-422b-91ae-364da2661108 | https://huntr.com/bounties/c88f6bd2-490d-4930-98dd-03651b20230a | Exploit, Issue Tracking |
{
"affected": [
{
"affectedData": [
{
"product": "zenml-io/zenml",
"vendor": "zenml-io",
"versions": [
{
"lessThanOrEqual": "latest",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"source": "security@huntr.dev"
},
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:zenmlio:zenml:0.56.3:*:*:*:*:*:*:*"
],
"defaultStatus": "unknown",
"product": "zenml",
"vendor": "zenmlio",
"versions": [
{
"status": "affected",
"version": "0.56.3"
}
]
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:zenml:zenml:0.56.3:*:*:*:*:*:*:*",
"matchCriteriaId": "50342A08-B715-4C14-BB9E-F6C8D2C6A683",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A vulnerability in zenml-io/zenml version 0.56.3 allows attackers to reuse old session credentials or session IDs due to insufficient session expiration. Specifically, the session does not expire after a password change, enabling an attacker to maintain access to a compromised account without the victim\u0027s ability to revoke this access. This issue was observed in a self-hosted ZenML deployment via Docker, where after changing the password from one browser, the session remained active and usable in another browser without requiring re-authentication."
},
{
"lang": "es",
"value": "Una vulnerabilidad en zenml-io/zenml versi\u00f3n 0.56.3 permite a los atacantes reutilizar credenciales de sesi\u00f3n antiguas o ID de sesi\u00f3n debido a una caducidad insuficiente de la sesi\u00f3n. Espec\u00edficamente, la sesi\u00f3n no expira despu\u00e9s de un cambio de contrase\u00f1a, lo que permite a un atacante mantener el acceso a una cuenta comprometida sin que la v\u00edctima pueda revocar este acceso. Este problema se observ\u00f3 en una implementaci\u00f3n de ZenML autohospedada a trav\u00e9s de Docker, donde despu\u00e9s de cambiar la contrase\u00f1a de un navegador, la sesi\u00f3n permaneci\u00f3 activa y utilizable en otro navegador sin necesidad de volver a autenticarse."
}
],
"id": "CVE-2024-4680",
"lastModified": "2026-06-17T08:02:24.063",
"metrics": {
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 3.9,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:H/PR:H/UI:R/S:U/C:L/I:L/A:L",
"version": "3.0"
},
"exploitabilityScore": 0.5,
"impactScore": 3.4,
"source": "security@huntr.dev",
"type": "Secondary"
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-4680",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-06-26T20:06:48.632801Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-06-08T20:15:52.347",
"references": [
{
"source": "security@huntr.dev",
"tags": [
"Exploit",
"Issue Tracking"
],
"url": "https://huntr.com/bounties/c88f6bd2-490d-4930-98dd-03651b20230a"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Issue Tracking"
],
"url": "https://huntr.com/bounties/c88f6bd2-490d-4930-98dd-03651b20230a"
}
],
"sourceIdentifier": "security@huntr.dev",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-613"
}
],
"source": "security@huntr.dev",
"type": "Secondary"
}
]
}
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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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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