FKIE_CVE-2019-14806
Vulnerability from fkie_nvd - Published: 2019-08-09 15:15 - Updated: 2026-06-17 02:19
Severity
Summary
Pallets Werkzeug before 0.15.3, when used with Docker, has insufficient debugger PIN randomness because Docker containers share the same machine id.
References
{
"affected": [
{
"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
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],
"source": "cve@mitre.org"
}
],
"configurations": [
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"nodes": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Pallets Werkzeug before 0.15.3, when used with Docker, has insufficient debugger PIN randomness because Docker containers share the same machine id."
},
{
"lang": "es",
"value": "Pallets Werkzeug en versiones anteriores a 0.15.3, cuando es usado con Docker, presenta una aleatoriedad insuficiente del PIN del depurador porque los contenedores Docker comparten la mismo id de m\u00e1quina."
}
],
"id": "CVE-2019-14806",
"lastModified": "2026-06-17T02:19:03.327",
"metrics": {
"cvssMetricV2": [
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"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
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"baseScore": 7.5,
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"confidentialityImpact": "HIGH",
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"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
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"impactScore": 3.6,
"source": "nvd@nist.gov",
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},
"published": "2019-08-09T15:15:12.917",
"references": [
{
"source": "cve@mitre.org",
"tags": [
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"url": "http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00034.html"
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{
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"url": "https://github.com/pallets/werkzeug/blob/7fef41b120327d3912fbe12fb64f1951496fcf3e/src/werkzeug/debug/__init__.py#L168"
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"tags": [
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-331"
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],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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