GSD-2023-30535
Vulnerability from gsd - Updated: 2023-12-13 01:20{
"GSD": {
"alias": "CVE-2023-30535",
"id": "GSD-2023-30535"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"aliases": [
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],
"details": "Snowflake JDBC provides a JDBC type 4 driver that supports core functionality, allowing Java program to connect to Snowflake. Users of the Snowflake JDBC driver were vulnerable to a command injection vulnerability. An attacker could set up a malicious, publicly accessible server which responds to the SSO URL with an attack payload. If the attacker then tricked a user into visiting the maliciously crafted connection URL, the user\u2019s local machine would render the malicious payload, leading to a remote code execution. The vulnerability was patched on March 17, 2023 as part of Snowflake JDBC driver Version 3.13.29. All users should immediately upgrade the Snowflake JDBC driver to the latest version: 3.13.29.",
"id": "GSD-2023-30535",
"modified": "2023-12-13T01:20:52.556158Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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"product": {
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"value": "Snowflake JDBC provides a JDBC type 4 driver that supports core functionality, allowing Java program to connect to Snowflake. Users of the Snowflake JDBC driver were vulnerable to a command injection vulnerability. An attacker could set up a malicious, publicly accessible server which responds to the SSO URL with an attack payload. If the attacker then tricked a user into visiting the maliciously crafted connection URL, the user\u2019s local machine would render the malicious payload, leading to a remote code execution. The vulnerability was patched on March 17, 2023 as part of Snowflake JDBC driver Version 3.13.29. All users should immediately upgrade the Snowflake JDBC driver to the latest version: 3.13.29."
}
]
},
"impact": {
"cvss": [
{
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.3,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:N",
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"description": [
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"cweId": "CWE-20",
"lang": "eng",
"value": "CWE-20: Improper Input Validation"
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]
},
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{
"name": "https://github.com/snowflakedb/snowflake-jdbc/security/advisories/GHSA-4g3j-c4wg-6j7x",
"refsource": "MISC",
"url": "https://github.com/snowflakedb/snowflake-jdbc/security/advisories/GHSA-4g3j-c4wg-6j7x"
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{
"name": "https://community.snowflake.com/s/article/JDBC-Driver-Release-Notes",
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"url": "https://community.snowflake.com/s/article/JDBC-Driver-Release-Notes"
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},
"source": {
"advisory": "GHSA-4g3j-c4wg-6j7x",
"discovery": "UNKNOWN"
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "(,3.13.29)",
"affected_versions": "All versions before 3.13.29",
"cwe_ids": [
"CWE-1035",
"CWE-20",
"CWE-78",
"CWE-937"
],
"date": "2023-04-14",
"description": "Snowflake JDBC provides a JDBC type 4 driver that supports core functionality, allowing Java program to connect to Snowflake. Users of the Snowflake JDBC driver were vulnerable to a command injection vulnerability. An attacker could set up a malicious, publicly accessible server which responds to the SSO URL with an attack payload. If the attacker then tricked a user into visiting the maliciously crafted connection URL, the user\u2019s local machine would render the malicious payload, leading to a remote code execution. The vulnerability was patched on March 17, 2023 as part of Snowflake JDBC driver Version 3.13.29. All users should immediately upgrade the Snowflake JDBC driver to the latest version: 3.13.29.",
"fixed_versions": [
"3.13.29"
],
"identifier": "CVE-2023-30535",
"identifiers": [
"GHSA-4g3j-c4wg-6j7x",
"CVE-2023-30535"
],
"not_impacted": "All versions starting from 3.13.29",
"package_slug": "maven/net.snowflake/snowflake-jdbc",
"pubdate": "2023-04-14",
"solution": "Upgrade to version 3.13.29 or above.",
"title": "Improper Input Validation",
"urls": [
"https://github.com/snowflakedb/snowflake-jdbc/security/advisories/GHSA-4g3j-c4wg-6j7x",
"https://nvd.nist.gov/vuln/detail/CVE-2023-30535",
"https://community.snowflake.com/s/article/JDBC-Driver-Release-Notes",
"https://github.com/advisories/GHSA-4g3j-c4wg-6j7x"
],
"uuid": "70103345-927a-46e2-870d-d46932b37a0b"
}
]
},
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"cpe23Uri": "cpe:2.3:a:snowflake:snowflake_jdbc:*:*:*:*:*:*:*:*",
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"versionEndExcluding": "3.13.29",
"vulnerable": true
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"description": {
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"value": "Snowflake JDBC provides a JDBC type 4 driver that supports core functionality, allowing Java program to connect to Snowflake. Users of the Snowflake JDBC driver were vulnerable to a command injection vulnerability. An attacker could set up a malicious, publicly accessible server which responds to the SSO URL with an attack payload. If the attacker then tricked a user into visiting the maliciously crafted connection URL, the user\u2019s local machine would render the malicious payload, leading to a remote code execution. The vulnerability was patched on March 17, 2023 as part of Snowflake JDBC driver Version 3.13.29. All users should immediately upgrade the Snowflake JDBC driver to the latest version: 3.13.29."
}
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"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
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"exploitabilityScore": 2.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2023-04-24T16:22Z",
"publishedDate": "2023-04-14T20:15Z"
}
}
}
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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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
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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.
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.