CVE-2026-108376 (GCVE-0-2026-108376)
Vulnerability from cvelistv5 – Published: 2026-10-13 17:17 – Updated: 2026-10-13 17:24
VLAI
EPSS
VEX
Title
dataclasses-avroschema allows code injection through record names in generated default factories
Summary
dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.47.3 through 0.70.5, FieldRepresentation.get_field_default inserts a schema-controlled referenced record name into the callable position of a generated default_factory lambda without validating it as an Avro name. A crafted record name can become an arbitrary Python expression that executes when an instance of the generated model consumes the field default. Version 0.70.6 fixes the vulnerability by rejecting record names that do not match the Avro name grammar.
Severity
8.8 (High)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/marcosschroh/dataclasses-avros… | x_refsource_CONFIRM |
| https://github.com/marcosschroh/dataclasses-avros… | x_refsource_MISC |
| https://github.com/marcosschroh/dataclasses-avros… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| marcosschroh | dataclasses-avroschema |
Affected:
>= 0.47.3, < 0.70.6
|
guessed |
{
"containers": {
"cna": {
"affected": [
{
"product": "dataclasses-avroschema",
"vendor": "marcosschroh",
"versions": [
{
"status": "affected",
"version": "\u003e= 0.47.3, \u003c 0.70.6"
}
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],
"descriptions": [
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"value": "dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.47.3 through 0.70.5, FieldRepresentation.get_field_default inserts a schema-controlled referenced record name into the callable position of a generated default_factory lambda without validating it as an Avro name. A crafted record name can become an arbitrary Python expression that executes when an instance of the generated model consumes the field default. Version 0.70.6 fixes the vulnerability by rejecting record names that do not match the Avro name grammar."
}
],
"metrics": [
{
"cvssV3_1": {
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"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"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-10-13T17:24:09.441Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA-jcjg-gjg5-xp7v",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA-jcjg-gjg5-xp7v"
},
{
"name": "https://github.com/marcosschroh/dataclasses-avroschema/commit/429f3d705d2d04c0c65e2ef832daed5ff91318fc",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/marcosschroh/dataclasses-avroschema/commit/429f3d705d2d04c0c65e2ef832daed5ff91318fc"
},
{
"name": "https://github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.70.6",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.70.6"
}
],
"source": {
"advisory": "GHSA-jcjg-gjg5-xp7v",
"discovery": "UNKNOWN"
},
"title": "dataclasses-avroschema allows code injection through record names in generated default factories"
}
},
"cveMetadata": {
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"cveId": "CVE-2026-108376",
"datePublished": "2026-10-13T17:17:07.502Z",
"dateReserved": "2026-10-09T21:36:27.042Z",
"dateUpdated": "2026-10-13T17:24:09.441Z",
"state": "PUBLISHED"
},
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"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
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"date": "2026-10-14",
"epss": "0.00366",
"percentile": "0.28776"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "dataclasses-avroschema",
"vendor": "marcosschroh",
"versions": [
{
"status": "affected",
"version": "\u003e= 0.47.3, \u003c 0.70.6"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
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"value": "dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.47.3 through 0.70.5, FieldRepresentation.get_field_default inserts a schema-controlled referenced record name into the callable position of a generated default_factory lambda without validating it as an Avro name. A crafted record name can become an arbitrary Python expression that executes when an instance of the generated model consumes the field default. Version 0.70.6 fixes the vulnerability by rejecting record names that do not match the Avro name grammar."
}
],
"id": "CVE-2026-108376",
"lastModified": "2026-10-13T18:17:16.550",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"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"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
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"type": "Secondary"
}
]
},
"published": "2026-10-13T18:17:16.550",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/marcosschroh/dataclasses-avroschema/commit/429f3d705d2d04c0c65e2ef832daed5ff91318fc"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/marcosschroh/dataclasses-avroschema/releases/tag/0.70.6"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/marcosschroh/dataclasses-avroschema/security/advisories/GHSA-jcjg-gjg5-xp7v"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-94"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
}
}
}
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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.
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