PYSEC-2024-199
Vulnerability from pysec - Published: 2024-10-10 23:15 - Updated: 2025-01-19 16:22
VLAI
Details
Gradio is an open-source Python package designed for quick prototyping. This vulnerability involves a timing attack in the way Gradio compares hashes for the analytics_dashboard function. Since the comparison is not done in constant time, an attacker could exploit this by measuring the response time of different requests to infer the correct hash byte-by-byte. This can lead to unauthorized access to the analytics dashboard, especially if the attacker can repeatedly query the system with different keys. Users are advised to upgrade to gradio>4.44 to mitigate this issue. To mitigate the risk before applying the patch, developers can manually patch the analytics_dashboard dashboard to use a constant-time comparison function for comparing sensitive values, such as hashes. Alternatively, access to the analytics dashboard can be disabled.
Severity
Impacted products
| Name | purl | gradio | pkg:pypi/gradio |
|---|
Aliases
{
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{
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"name": "gradio",
"purl": "pkg:pypi/gradio"
},
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{
"events": [
{
"introduced": "0"
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{
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}
],
"type": "ECOSYSTEM"
}
],
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}
],
"aliases": [
"CVE-2024-47869",
"GHSA-j757-pf57-f8r4"
],
"details": "Gradio is an open-source Python package designed for quick prototyping. This vulnerability involves a **timing attack** in the way Gradio compares hashes for the `analytics_dashboard` function. Since the comparison is not done in constant time, an attacker could exploit this by measuring the response time of different requests to infer the correct hash byte-by-byte. This can lead to unauthorized access to the analytics dashboard, especially if the attacker can repeatedly query the system with different keys. Users are advised to upgrade to `gradio\u003e4.44` to mitigate this issue. To mitigate the risk before applying the patch, developers can manually patch the `analytics_dashboard` dashboard to use a **constant-time comparison** function for comparing sensitive values, such as hashes. Alternatively, access to the analytics dashboard can be disabled.",
"id": "PYSEC-2024-199",
"modified": "2025-01-19T16:22:57.938459+00:00",
"published": "2024-10-10T23:15:02+00:00",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/gradio-app/gradio/security/advisories/GHSA-j757-pf57-f8r4"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N",
"type": "CVSS_V3"
}
]
}
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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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