CVE-2024-39686 (GCVE-0-2024-39686)
Vulnerability from cvelistv5 – Published: 2024-07-22 15:16 – Updated: 2024-08-02 04:26
VLAI
EPSS
VEX
Title
fishaudio/Bert-VITS2 Command Injection in webui_preprocess.py bert_gen function
Summary
Bert-VITS2 is the VITS2 Backbone with multilingual bert. User input supplied to the data_dir variable is used directly in a command executed with subprocess.run(cmd, shell=True) in the bert_gen function, which leads to arbitrary command execution. This affects fishaudio/Bert-VITS2 2.3 and earlier.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-23 14:27 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://securitylab.github.com/advisories/GHSL-20… | x_refsource_CONFIRM |
| https://github.com/fishaudio/Bert-VITS2/blob/3f8c… | x_refsource_MISC |
| https://github.com/fishaudio/Bert-VITS2/blob/7665… | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| FishAudio | Bert-VITS2 |
Affected:
<= 2.3
|
guessed | |
| fishaudio | bert-vits2 |
Affected:
0 , ≤ 2.3
(custom)
cpe:2.3:a:fishaudio:bert-vits2:*:*:*:*:*:*:*:* |
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},
{
"name": "https://github.com/fishaudio/Bert-VITS2/blob/3f8c537f4aeb281df3fb3c455eed9a1b64871a81/webui_preprocess.py#L82C9-L82C57",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/fishaudio/Bert-VITS2/blob/3f8c537f4aeb281df3fb3c455eed9a1b64871a81/webui_preprocess.py#L82C9-L82C57"
},
{
"name": "https://github.com/fishaudio/Bert-VITS2/blob/76653b5b6d657143721df2ed6c5c246b4b1d9277/webui_preprocess.py#L130-L133",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/fishaudio/Bert-VITS2/blob/76653b5b6d657143721df2ed6c5c246b4b1d9277/webui_preprocess.py#L130-L133"
}
],
"source": {
"advisory": "GHSA-6rf5-wfmc-v3f9",
"discovery": "UNKNOWN"
},
"title": "fishaudio/Bert-VITS2 Command Injection in webui_preprocess.py bert_gen function"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2024-39686",
"datePublished": "2024-07-22T15:16:17.258Z",
"dateReserved": "2024-06-27T18:44:13.035Z",
"dateUpdated": "2024-07-24T18:40:52.537Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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