GSD-2019-3795
Vulnerability from gsd - Updated: 2023-12-13 01:24Details
Spring Security versions 4.2.x prior to 4.2.12, 5.0.x prior to 5.0.12, and 5.1.x prior to 5.1.5 contain an insecure randomness vulnerability when using SecureRandomFactoryBean#setSeed to configure a SecureRandom instance. In order to be impacted, an honest application must provide a seed and make the resulting random material available to an attacker for inspection.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-3795",
"description": "Spring Security versions 4.2.x prior to 4.2.12, 5.0.x prior to 5.0.12, and 5.1.x prior to 5.1.5 contain an insecure randomness vulnerability when using SecureRandomFactoryBean#setSeed to configure a SecureRandom instance. In order to be impacted, an honest application must provide a seed and make the resulting random material available to an attacker for inspection.",
"id": "GSD-2019-3795"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2019-3795"
],
"details": "Spring Security versions 4.2.x prior to 4.2.12, 5.0.x prior to 5.0.12, and 5.1.x prior to 5.1.5 contain an insecure randomness vulnerability when using SecureRandomFactoryBean#setSeed to configure a SecureRandom instance. In order to be impacted, an honest application must provide a seed and make the resulting random material available to an attacker for inspection.",
"id": "GSD-2019-3795",
"modified": "2023-12-13T01:24:04.763743Z",
"schema_version": "1.4.0"
}
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"DATE_PUBLIC": "2019-04-04T18:01:40.000Z",
"ID": "CVE-2019-3795",
"STATE": "PUBLIC",
"TITLE": "Insecure Randomness When Using a SecureRandom Instance Constructed by Spring Security"
},
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"affected_range": "[4.2.0.RELEASE,4.2.12.RELEASE),[5.0.0.RELEASE,5.0.12.RELEASE), [5.1.0.RELEASE,5.1.5.RELEASE)",
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"description": "Spring Security containa an insecure randomness vulnerability when using `SecureRandomFactoryBean#setSeed` to configure a `SecureRandom` instance. In order to be impacted, an honest application must provide a seed and make the resulting random material available to an attacker for inspection.",
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"package_slug": "maven/org.springframework.security/spring-security-cas",
"pubdate": "2019-04-09",
"solution": "Upgrade to versions 4.2.12.RELEASE, 5.0.12.RELEASE, 5.1.5.RELEASE or above.",
"title": "Insufficient Entropy in PRNG",
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"description": "Spring Security contain an insecure randomness vulnerability when using `SecureRandomFactoryBean#setSeed` to configure a `SecureRandom` instance. In order to be impacted, an honest application must provide a seed and make the resulting random material available to an attacker for inspection.",
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"pubdate": "2019-04-09",
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"title": "Insufficient Entropy in PRNG",
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"lastModifiedDate": "2021-11-02T20:18Z",
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}
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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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