CVE-2022-24441 (GCVE-0-2022-24441)
Vulnerability from cvelistv5 – Published: 2022-11-30 00:00 – Updated: 2025-04-24 19:54
VLAI
EPSS
VEX
Title
Code Injection
Summary
The package snyk before 1.1064.0 are vulnerable to Code Injection when analyzing a project. An attacker who can convince a user to scan a malicious project can include commands in a build file such as build.gradle or gradle-wrapper.jar, which will be executed with the privileges of the application. This vulnerability may be triggered when running the the CLI tool directly, or when running a scan with one of the IDE plugins that invoke the Snyk CLI. Successful exploitation of this issue would likely require some level of social engineering - to coerce an untrusted project to be downloaded and analyzed via the Snyk CLI or opened in an IDE where a Snyk IDE plugin is installed and enabled. Additionally, if the IDE has a Trust feature then the target folder must be marked as ‘trusted’ in order to be vulnerable. **NOTE:** This issue is independent of the one reported in [CVE-2022-40764](https://security.snyk.io/vuln/SNYK-JS-SNYK-3037342), and upgrading to a fixed version for this addresses that issue as well. The affected IDE plugins and versions are: - VS Code - Affected: <=1.8.0, Fixed: 1.9.0 - IntelliJ - Affected: <=2.4.47, Fixed: 2.4.48 - Visual Studio - Affected: <=1.1.30, Fixed: 1.1.31 - Eclipse - Affected: <=v20221115.132308, Fixed: All subsequent versions - Language Server - Affected: <=v20221109.114426, Fixed: All subsequent versions
Severity
5.8 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-24 19:54 UTC
CWE
- Code Injection
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
7 references
Impacted products
Date Public
2022-11-30 00:00
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"timestamp": "2025-04-24T19:54:47.679411Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-78",
"description": "CWE-78 Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-04-24T19:54:05.551Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "snyk",
"vendor": "n/a",
"versions": [
{
"lessThan": "1.1064.0",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"credits": [
{
"lang": "en",
"value": "Ron Masas - Imperva"
}
],
"datePublic": "2022-11-30T00:00:00.000Z",
"descriptions": [
{
"lang": "en",
"value": "The package snyk before 1.1064.0 are vulnerable to Code Injection when analyzing a project. An attacker who can convince a user to scan a malicious project can include commands in a build file such as build.gradle or gradle-wrapper.jar, which will be executed with the privileges of the application. This vulnerability may be triggered when running the the CLI tool directly, or when running a scan with one of the IDE plugins that invoke the Snyk CLI. Successful exploitation of this issue would likely require some level of social engineering - to coerce an untrusted project to be downloaded and analyzed via the Snyk CLI or opened in an IDE where a Snyk IDE plugin is installed and enabled. Additionally, if the IDE has a Trust feature then the target folder must be marked as \u2018trusted\u2019 in order to be vulnerable. **NOTE:** This issue is independent of the one reported in [CVE-2022-40764](https://security.snyk.io/vuln/SNYK-JS-SNYK-3037342), and upgrading to a fixed version for this addresses that issue as well. The affected IDE plugins and versions are: - VS Code - Affected: \u003c=1.8.0, Fixed: 1.9.0 - IntelliJ - Affected: \u003c=2.4.47, Fixed: 2.4.48 - Visual Studio - Affected: \u003c=1.1.30, Fixed: 1.1.31 - Eclipse - Affected: \u003c=v20221115.132308, Fixed: All subsequent versions - Language Server - Affected: \u003c=v20221109.114426, Fixed: All subsequent versions"
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 5.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:L/I:L/A:L",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "Code Injection",
"lang": "en",
"type": "text"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-11-30T00:00:00.000Z",
"orgId": "bae035ff-b466-4ff4-94d0-fc9efd9e1730",
"shortName": "snyk"
},
"references": [
{
"url": "https://security.snyk.io/vuln/SNYK-JS-SNYK-3111871"
},
{
"url": "https://www.imperva.com/blog/how-scanning-your-projects-for-security-issues-can-lead-to-remote-code-execution/"
},
{
"url": "https://github.com/snyk/vscode-extension/commit/0db3b4240be0db6a0a5c6d02c0d4231a2c4ba708"
},
{
"url": "https://github.com/snyk/snyk-intellij-plugin/commit/56682f4ba6081ce1d95cb980cbfacd3809a826f4"
},
{
"url": "https://github.com/snyk/snyk-visual-studio-plugin/commit/0b53dbbd4a3153c3ef9aaf797af3b5caad0f731a"
},
{
"url": "https://github.com/snyk/snyk-eclipse-plugin/commit/b5a8bce25a359ced75f83a729fc6b2393fc9a495"
},
{
"url": "https://github.com/snyk/snyk-ls/commit/b3229f0142f782871aa72d1a7dcf417546d568ed"
}
],
"title": "Code Injection"
}
},
"cveMetadata": {
"assignerOrgId": "bae035ff-b466-4ff4-94d0-fc9efd9e1730",
"assignerShortName": "snyk",
"cveId": "CVE-2022-24441",
"datePublished": "2022-11-30T00:00:00.000Z",
"dateReserved": "2022-02-24T00:00:00.000Z",
"dateUpdated": "2025-04-24T19:54:51.898Z",
"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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