GSD-2019-11458
Vulnerability from gsd - Updated: 2023-12-13 01:24Details
An issue was discovered in SmtpTransport in CakePHP 3.7.6. An unserialized object with modified internal properties can trigger arbitrary file overwriting upon destruction.
Aliases
Aliases
{
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"alias": "CVE-2019-11458",
"description": "An issue was discovered in SmtpTransport in CakePHP 3.7.6. An unserialized object with modified internal properties can trigger arbitrary file overwriting upon destruction.",
"id": "GSD-2019-11458"
},
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"remediation": "unknown",
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"modified": "2023-12-13T01:24:01.699921Z",
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{
"affected_range": "\u003e=3.0.0,\u003c3.5.18||\u003e=3.6.0,\u003c3.6.15||\u003e=3.7.0,\u003c3.7.7",
"affected_versions": "All versions starting from 3.0.0 before 3.5.18, all versions starting from 3.6.0 before 3.6.15, all versions starting from 3.7.0 before 3.7.7",
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"cwe_ids": [
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"CWE-502",
"CWE-937"
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"date": "2019-05-09",
"description": "An issue was discovered in `SmtpTransport` in CakePHP. An unserialized object with modified internal properties can trigger arbitrary file overwriting upon destruction.",
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"3.6.15",
"3.7.7"
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"package_slug": "packagist/cakephp/cakephp",
"pubdate": "2019-05-08",
"solution": "Upgrade to versions 3.5.18, 3.6.15, 3.7.7 or above.",
"title": "Improper Input Validation",
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"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.4,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:P/A:P",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
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"severity": "MEDIUM",
"userInteractionRequired": false
},
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"version": "3.0"
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"exploitabilityScore": 3.9,
"impactScore": 3.6
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},
"lastModifiedDate": "2020-08-24T17:37Z",
"publishedDate": "2019-05-08T18:29Z"
}
}
}
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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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