CVE-2019-1010200 (GCVE-0-2019-1010200)
Vulnerability from cvelistv5 – Published: 2019-07-23 17:15 – Updated: 2024-08-05 03:07
VLAI
EPSS
VEX
Summary
Voice Builder Prior to commit c145d4604df67e6fc625992412eef0bf9a85e26b and f6660e6d8f0d1d931359d591dbdec580fef36d36 is affected by: CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection'). The impact is: Remote code execution with the same privileges as the servers. The component is: Two web servers in the projects expose three vulnerable endpoints that can be accessed remotely. The endpoints are defined at: - /tts: https://github.com/google/voice-builder/blob/3a449a3e8d5100ff323161c89b897f6d5ccdb6f9/merlin_model_server/api.js#L34 - /alignment: https://github.com/google/voice-builder/blob/3a449a3e8d5100ff323161c89b897f6d5ccdb6f9/festival_model_server/api.js#L28 - /tts: https://github.com/google/voice-builder/blob/3a449a3e8d5100ff323161c89b897f6d5ccdb6f9/festival_model_server/api.js#L65. The attack vector is: Attacker sends a GET request to the vulnerable endpoint with a specially formatted query parameter. The fixed version is: After commit f6660e6d8f0d1d931359d591dbdec580fef36d36.
Severity
9.8 (Critical)
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/google/voice-builder/commit/c1… | x_refsource_MISC |
| https://github.com/google/voice-builder/commit/f6… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Voice Builder | Voice Builder |
Affected:
Prior to commit c145d4604df67e6fc625992412eef0bf9a85e26b and f6660e6d8f0d1d931359d591dbdec580fef36d36 [fixed: After commit f6660e6d8f0d1d931359d591dbdec580fef36d36]
|
guessed |
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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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