CVE-2019-3801 (GCVE-0-2019-3801)
Vulnerability from cvelistv5 – Published: 2019-04-25 20:17 – Updated: 2024-09-17 02:56
VLAI
EPSS
VEX
Title
Java Projects using HTTP to fetch dependencies
Summary
Cloud Foundry cf-deployment, versions prior to 7.9.0, contain java components that are using an insecure protocol to fetch dependencies when building. A remote unauthenticated malicious attacker could hijack the DNS entry for the dependency, and inject malicious code into the component.
Severity
8.7 (High)
CWE
- CWE-494 - Download of Code Without Integrity Check
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.cloudfoundry.org/blog/cve-2019-3801 | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/108104 | vdb-entryx_refsource_BID |
Impacted products
4 products
| Vendor | Product | Version | |
|---|---|---|---|
| Cloud Foundry | CredHub |
Affected:
2.1 , < 2.1.3
(custom)
Affected: 1.9 , < 1.9.10 (custom) |
|
| Cloud Foundry | UAA Release (OSS) |
Affected:
All , < v64.0
(custom)
|
|
| Cloud Foundry | cf-deployment |
Affected:
All , < v7.9.0
(custom)
|
|
| Pivotal | UAA Release (LTS) |
Affected:
v60 , < v60.2
(custom)
Affected: v64 , < v64.1 (custom) |
Date Public
2019-04-25 00:00
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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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